Modificado em por svisser1
The chapter focused on BLU Acceleration was released in the spring, but now available is the full book that is nearly 200 pages in length! Learn about the new software that was released this year and continually gets touted as “game-changing”.
DB2 10.5 with BLU Acceleration - New Dynamic In-Memory Analytics for the Era of Big Data
Paul Zikopoulos, Matthew Huras, George Baklarz, Sam Lightstone, Aamer Sachedina
Technical editor: Roman B. Melnyk
Speed of Thought Analytics with new BLU Acceleration
Always Available Transactions with enhanced pureScale reliability
Unprecedented Affordability with optimization for SAP workloads
Future Proof Versatility with business grade NoSQL and mobile database for greater application flexibility
About the book:
If big data is an untapped natural resource, how can you find the gold dust hidden within? Leaders realize that big data means all data, and are moving quickly to understand both structured and unstructured application data. However, analyzing this data without impacting the performance and reliability of essential business applications can prove costly and complex.
In the new era of big data, businesses require data systems that can blend always available transactions with speed of thought analytics. DB2 10.5 with new BLU Acceleration provides this speed, simplicity and cost efficiency while providing the ability to build next-generation applications with NoSQL features.
With this book, you’ll learn about the power and flexibility of multi-workload, multi-platform database software. Use the comprehensive knowledge from this book to get started with the latest DB2 release by downloading the trial version. Visit ibm.com/developerworks/downloads/im/db2/
Stay updated on newly available Information Management resources by visiting ibm.com/db2/luw/.
Why you should read this book:
Upgrade to the new generation of database software for the era of big data!
How do you get a copy?
Chapter 3 of the book is now available for you to download. Chapter 3 focuses on the new BLU Acceleration. By clicking this link, you’ll begin the download: http://bit.ly/DB2BLUFlashbook
A print version of this book will be handed out at the IBM Information on Demand Conference, Monday November 4 9:45 - 10:45 at the Conference bookstore.
We have quite a collection of Flashbooks available in electronic format that you can download & read when it is convenient for you. See:
New Flashbook: The Business Value of DB2 for z/OS: IBM DB2 Analytics Accelerator and Optimizer
Just published: IBM InfoSphere: A Platform for Big Data Governance and Process Data Governance
2012 Flashbooks with Links to Free e-Version
Understanding Big Data: Analytics for Enterprise Class Hadoop and
by Dirk deRoos, Chris Eaton, George Lapis, Paul
Zikopoulos, Tom Deutsch
Big Data represents a new era in data exploration and utilization, and IBM is
uniquely positioned to help clients navigate this transformation. This Flashbook
reveals how IBM is leveraging open source Big Data technology to deliver a
robust, secure, highly available, enterprise-class Big Data platform.
The three defining characteristics of Big Data—volume, variety, and
velocity—are discussed. You’ll get a primer on Hadoop and how IBM is 'hardening'
it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights
(Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies.
Deployment and scaling strategies plus industry use cases are also included in
this practical guide.
- Learn how IBM hardens Hadoop for enterprise-class scalability and
- Gain insight into IBM's unique in-motion and at-rest Big Data analytics
- Learn tips and tricks for Big Data use cases and solutions
- Get a quick Hadoop primer
This book is about Big Data: but you already knew that. Big Data
is a Big Deal! This book’s authoring team is well seasoned in
traditional database technologies; and all recognized one thing: Big Data is an
inflection point when it comes to information management technologies. In fact,
Big Data is going to change the way you do things in the future, how you gain
insight, and make decisions (the change isn’t going to be a replacement, rather
a synergy and extension). Recognizing this inflection point, the author team
decided to write this book to help you get quickly up to speed on this
technology and to show you the unique things IBM is doing to turn the freely
available open source Big Data technology into a Big Data Platform;
there’s a major difference and the platform is comprised of leveraging the open
source technologies (and never forking it) and marrying that to enterprise
capabilities provided by a technology leader that understands the benefits a
platform can provide.
By the time you are done reading this book, you’ll have a good handle on the
Big Data opportunity that lies ahead, a better understanding on the requirements
that ensures you have the right Big Data platform (as opposed to just
technology), and have a strong foundational knowledge as to the business
opportunities that lie ahead with Big Data and some of the technologies
PART 1: The Big Deal about Big Data
Chapter 1 – What is Big Data? Hint: You’re a Part of it Every Day
Chapter 2 – Why Big Data is Important
Chapter 3 – Why IBM for Big Data
PART II: Big Data: From the Technology Perspective
Chapter 4 - All About Hadoop: The Big Data Lingo
Chapter 5 – IBM InfoSphere Big Insights – Analytics for “At Rest” Big
Chapter 6 – IBM InfoSphere Streams – Analytics for “In Motion” Big Data
Chris Eaton, B.Sc., is a worldwide technical specialist for
IBM’s Information Management products focused on Database Technology, Big Data,
and Workload Optimization. Chris is also an international award winning
speaker, having presented at data management conferences across the globe, and
has one of the most popular DB2 blogs located on IT Toolbox at: http://it.toolbox.com/blogs/db2luw.
Dirk DeRoos, B.Sc, B.A. is a member of the IBM World-Wide Technical
Sales Team, specializing in the IBM Big Data Platform. Dirk joined IBM eleven
years ago, and has a Bachelor of Computer Science and a Bachelor of Arts (Honors
English) from the University of New Brunswick.
Thomas Deutsch, B.A, M.B.A., serves as a Program Director in IBM’s Big
Data business. Tom has spent the couple of years helping customers with Apache
Hadoop, identifying architecture fit, and managing early stage projects in 200+
George Lapis, MS CS, is a Big Data Solutions Architect at IBM's
Silicon Valley Lab. He has worked in database software area for more than 30
years. He was a founding member of R* and Starburst research projects at IBM's
Almaden Research Center in the valley, as well as a member of the compiler
development team for several releases of DB2.
Paul C. Zikopoulos, B.A., M.B.A., is the Director of Technical
Professionals for IBM Software Group’s Information Management division and
additionally leads the World Wide Database Competitive and Big Data SWAT teams.
Paul has written more than 300 magazine articles and 14 books on DB2 and can be
reached at: firstname.lastname@example.org.
Modificado em por svisser1
Paul Zikopoulos and his team of co-authors have just finished their 3rd Big Data book and it is being published this October. Just in time for the IBM Insight Conference, attendees will be given a free copy of the book that will bring them up to date on what is going on in this over-hyped area.
Here are the details about the book:
“Big Data Beyond the Hype” - A Guide to Conversations for Today’s Data Center
Author team: Paul Zikopoulos, Dirk deRoos, Chris Bienko, Rick Buglio, Marc Andrews; Edited by Roman Melnyk
One of the great things that I get to do for these books is to help create the text on the cover of the book. To do this, I had to read much of the book as it existed in draft format and try to put something together that tells readers what’s in the book and why they should spend their precious time reading this one versus the thousands of other books that are available.
After reading a chapter or two, I was very excited. I really like the writing style of this author team, and since I do know Paul quite well, I can see his personality in the writing. Paul makes technical things extremely readable and understandable. I pulled what I could from what I read and came up with this:
The term Big Data is a bit of a misnomer. Truth be told, we’re not even big fans of the term—despite the fact that it is so prominently displayed on the cover of this book—because it implies that other data is somehow small (it might be) or that this particular type of data is large in size (it can be, but doesn’t have to be).
This is Big Data in a nutshell: It is the ability to retain, process, and understand data like never before. It can mean more data than what you are using today; but it can also mean different kinds of data, a venture into the unstructured world where most of today’s data resides.
In this book you will also learn how cognitive computing systems, like IBM Watson, fit into the Big Data world. Learn about the concept of data-in-motion and InfoSphere Streams, the world’s fastest and most flexible platform for streaming data. Capturing, storing, refining, transforming, governing, securing, and analyzing data are important topics also covered in this book.
That text makes me want to read the book, and I hope it gives you incentive to read it as well. For those of us in the data industry, big data is by far the most hyped term in existence the past 5 years or so. I see the potential of big data but also see that if something gets this much hype, it must be too good to be true. But, it is true! And those who are willing to take it the next step will surely reap the rewards. IBM has been investing heavily in this area and as you read this latest book, you’ll see the end to end solution that IBM is offering.
Do yourself a favour: get a copy of this book, read it, and draw your own conclusions.
Download the FREE electronic version of this book.
While listening to this excellent podcast "Talking Big Data" which is a conversation between Data Expert Jean-Marc Blaise and Big Data Expert Leon Katsnelson, I learned about another technology preview that I wish to share with you.
Leon called the IBM Big SQL Technology
“easier than hadoop”. We want to know if you think Leon’s statement is
accurate. To do so, download the software, give it a try, and give us
Here are the details.
What is Big SQL?
Big SQL is new and exciting technology that extends the power of SQL to
the world of Apache Hadoop data repositories (HDFS and HBase).
How does the Big SQL Technology Preview program work?
This Technology Preview program is open to a limited number of participants. To request participation in this program fill out this form.
approved, you’ll get access to a Hadoop cluster on the IBM IM Demo
Cloud. This Hadoop cluster is fully configured with both HDFS and HBase
and has sample data loaded and available for queries.
be able to download Big SQL JDBC and ODBC drivers and use these drivers
with your favourite applications to explore and query data in the
Hadoop cluster. You’ll also be able to use command line tools like JSqsh
to submit queries.
To learn how to use Big SQL and to get maximum value out of the program it is suggested that you take a free course on BigDataUniversity.com that already has over 70,000 members!
Very easy to begin your preview
participating in the Big SQL Technology Preview program on the cloud,
you gain access to a Hadoop cluster with HDFS and HBase installed and
loaded with sample data all ready to go. There is no need to obtain
hardware, install and patch operating systems, install the Hadoop code
or manage the Hadoop cluster. Simply download the provided JDBC or ODBC
driver and connect your favorite application to the Hadoop data.
Alternatively, you can use a command line interface to submit SQL
queries against your Hadoop data. We will manage and run the Hadoop
cluster using the latest stable code so you will never be rediscovering
old issues. Our development team will have full access to the same
system so if there is an issue that you want to bring to our attention
we will be able to diagnose it on the system with you. No need for
cumbersome diagnostic information collection and complex processes for
I hope you can take part! Thanks to Leon for making me aware of this program.
This peek at the future of big data is brought to you by the IBM Information Management Cloud Computing Center of Competence and the IBM Big SQL Development Team .
Date: Mar 27, 2012
Time: 12:30 PM - 2:00 PM (Eastern Time)
Speaker: Paul Zikopoulos (IBM)
Topic: An Introduction to Big Data
Big Data can mean a lot of things to a lot of people; but one thing we're sure of, it's the hottest thing to hit the IT landscape. In this chat you'll start with an introduction to Big Data so we're all on common ground as to what it is, how to spot it, and what the opportunities are. (Hint, be prepared to get shocked on Volume and more). With a strong foundation on what Big Data is, you'll be introduced to the IBM Big Data platform, what it looks like and its key components. In the final part of the chat, we'll dive into IBM's non-forked, embraced and extended Hadoop distribution (called InfoSphere BigInsights) and streaming technology (InfoSphere Streams), a tour of the Big Data platform features as it relates to these pillar components, and a get introduced to the toughest Big Data use case there is: text analytics and how this is just one areas where IBM is brining the "WOW" factor to Big Data.
Of course along the way you'll get introduced to clients that are using the platform and implicit use cases and be all set to investigate and appreciate not only what Big Data can do you for company, but how a partnership with IBM can make it happen that much faster with that much more confidence.
Register now to join IBM speaker, Paul Zikopoulos on Tuesday March 27th, 2012 at 12:30 PM Eastern. Sign-up to attend this free webinar.
Here are a few other resources you may wish to tap into if you’re interested in this topic:
1) Dan Dubriwny from the Big Data Tiger Team, IBM USA, was the guest speaker on episode 62 of the DB2 Night Show, hosted by Klaas Brant. The topic was BIG DATA Overview - What is it? Who cares? Catch the replay.
2) Paul Zikopoulos and Robert Thomas were guests on Episode #63 of the DB2Night Show and gave a deep dive into IBM solutions around BIG DATA.
3) At the IBM Information on Demand Conference that took place last October, copies of the Flashbook “Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data” were handed out. If you didn’t get a copy, you can get the free e-version of this book on my bookstore page: ibm.com/software/data/education/bookstore.
4) Read Jeff Jonas’ Business Insider’s talks and his blog entries about Big Data:
5) Dive into the best wiki in the world! BigInsights Technical Enablement Wiki: ibm.com/developerworks/wiki/biginsights/
6) Read this technical intro to IBM BigInsights, IBM’s Big Data platform, by Cynthia Saracco: Understanding InfoSphere BigInsights: An introduction for software architects and technical leaders.
7) One of the 82 Web-based Training Courses available for IM is BigInsights Essentials.
8) Want to learn Hadoop, MapReduce, HBase or other Big Data topics? Join free BigDataUniversity.com. Already 15,000 students have registered.
9) Read the excellent article by Lisa Stapleton that published in a recent edition of the IBM Data Management Magazine BigData - Volume, Variety, and Velocity. How do you attack something *that* big?
10) Read the article Big Data Impacts Data Management: The Big Vs of Big Data by IBM Champion Dave Beulke.
11) Follow the blogs and tweets that are happening real-time via the Big Data Daily.
12) Read the article by IBM Champion Craig Mullins Big Data and 150 Trillion Calculations Per Second at Vestas
Read, attend and learn!
Modificado em por svisser1
This book was published earlier this year, so I was given a few free copies and had them at the IDUG conference in Phoenix. I didn’t think people at the conference would be interested in this book, so I had put them aside. But, when people started noticing the book, they wanted to know how they could get a copy. On the spur of the moment, I decided that if people tweet the message “I want a copy of the Hadoop book from Susan”, I’d give it to them. To my huge surprise, I gave out more than 20 copies of this book in this way. Of course a data centric audience is interested in a book that teaches them how to modernize their data environment!
Hadoop for Dummies
by Dirk deRoos and Paul Zikopoulos
At IBM Insights:
The book signing is scheduled for Monday October 27 from 4:30pm - 5:00pm at the Conference Bookstore. I’m pretty sure Dirk will be there… and I made sure it was on Paul’s calendar, but I’m sure Paul will be in huge demand the entire week, so it is possible that Paul will not be able to make it at this time.
About the book:
Big data has become big business, and companies and organizations of all sizes are struggling to find ways to retrieve valuable information from their massive data sets with becoming overwhelmed. Enter Hadoop and this easy-to-understand For Dummies guide. Hadoop For Dummies helps readers understand the value of big data, make a business case for using Hadoop, navigate the Hadoop ecosystem, and build and manage Hadoop applications and clusters.
Explains the origins of Hadoop, its economic benefits, and its functionality and practical applications
Helps you find your way around the Hadoop ecosystem, program MapReduce, utilize design patterns, and get your Hadoop cluster up and running quickly and easily
Details how to use Hadoop applications for data mining, web analytics and personalization, large-scale text processing, data science, and problem-solving
Shows you how to improve the value of your Hadoop cluster, maximize your investment in Hadoop, and avoid common pitfalls when building your Hadoop cluster
From programmers challenged with building and maintaining affordable, scaleable data systems to administrators who must deal with huge volumes of information effectively and efficiently, this how-to has something to help you with Hadoop.
Understand the value of big data and how Hadoop can help manage it
Navigate the Hadoop 2 ecosystem and create clusters
Use applications for data mining, problem-solving, analytics, and more
The easy-to-use, practical guide to using Hadoop for big data
With most of the world’s data created in only the past two years, Hadoop has emerged as the definitive computing paradigm to handle big data. This comprehensive guide from IBM big data experts provides a hands-on resource for those who want to dig into the details of HDFS and MapReduce to take data storage and processing to the next level.
Get started with Hadoop — discover the origins of Hadoop, the realities of worldwide data growth, and practical use cases for this revolutionary platform
Under the Hadoop hood — dig into Hadoop’s distributed framework, including HDFS and MapReduce and the best tools for working with data in Hadoop
Hadoop and structured data — modernize data warehouses with Hadoop and discover data utilities like HBase, Hive, and Sqoop
Hands on with Hadoop — get your hands dirty with details on configuring Hadoop clusters and an overview of day-to-day Hadoop administration
Take your Hadoop knowledge to the next level — use additional Hadoop resources to understand the technology at a deeper level
Open the book and find:
Coverage of the Hadoop 2 ecosystem and Yarn
Real-world use cases to help you get started
Details on Hadoop distributions and cluster setup
How to use Oozie for scheduling workflows
How to add structure with Hive and HBase
Details on running native SQL queries on Hive
On-premise and cloud deployment options for Hadoop
The challenges faced by administrators
About the Authors:
Dirk deRoos is the technical sales lead for IBM’s InfoSphere BigInsights. Paul C. Zikopoulos is the vice president of big data in the IBM Information Management division. Roman B. Melnyk, PhD is a senior member of the DB2 Information Development team. Bruce Brown and Rafael Coss work with big data with IBM.
During this week’s #bigdatamgmt TweetChat that was focused on Getting Control of Data in Big Data Era",
I noticed that many of the experts recommended articles to emphasize
their points. I’ve gathered all of these recommendations to create this
reading list. I hope you find this valuable.
You must increase control of wasteful data even with Big Data
Management, archive/retire & dispose. Big Data doesn’t change
retention. Keep the data you need, get rid of the rest . You can’t
afford to keep it all. Big
Data is not immune to the laws of information economics. You must
increase control of wasteful data even w Big Datamgmt, archive/retire
& dispose. Infosphere Optim helps you get control of structured
data to feed only the good into Big Datamgmt.
PPB13 How do practitioners overcome emerging skepticism in the marketplace?
Without good data stewardship & Big Datamgmt it will difficult to
unlock the value of big data. To deal with Big Data, speed, and volume:
be proactive by starting Big Data Management across the enterprise
now & maintain. Start now on data quality because if you don’t have it in now Big Data only magnifies data issues.
For more Big Datamgmt resources Data Privacy and Security. Exploring
Big Data still requires trusted data so you must secure and govern even
Big Data refers to datasets whose size, type and speed of creation make
it impractical to process and analyze with traditional tools. That Big
Data definition comes from wikibon; see Big Data Vendor Revenue and Market Forecast 2012-2017. So given that, definitionally then, traditional concepts are at the very least “impractical”… no?
BTRG_MikeMartin You can’t make good business decisions on bad data.
Data governance is critical in the Big Data management era as it makes
small problems bigger. You need data quality to enable Biginsights
searchCIO Metadata practices are gaining momentum as companies tackle Big Data.
searchCIO Data Quality is essential to master Big Data Management
dvellante Perspectives from a former CIO on the importance of data quality
furrier Dirty data equals poor user experience. I wrote about it in 2009 re: twitter facebook & social data
craigmullins Consider non-intrusive data governance; see this article by my friend Bob Seiner
great resources! For our next tweetchat, we’d like to build a reading
list that is sent out prior to the chat. Wednesday, March 15: Topic: Mobile Challenges for the Enterprise. Stay tuned for more information about this event.
To find out more about managing big data, join IBM for a free event on April 30: Big Data at the Speed of Business
What are you sacrificing for the promise of big data?
Recap of Tweetchat: "Getting Control of Data in Big Data Era"
Part 2: Recap of Tweetchat: "Getting Control of Data in Big Data Era"
What is a Tweetchat and why should you join us?
Big Data & Database Technology
Harness the Power of Big Data - The IBM Big Data Platform
by Paul Zikopoulos, Dirk deRoos, David Corrigan, Tom
Deutsch, Krishnan Parasuraman, James Giles
Information about book:
Big Data represents a new era of computing – an inflection point of
opportunity where data in any format may be explored and utilized for
breakthrough insights - whether that data is in-place, in-motion, or at-rest.
IBM is uniquely positioned to help clients navigate this transformation. This
book reveals how IBM is leveraging open source Big Data technologies, infused
with deep IBM innovation from over 6 billion dollars in analytics acquisitions,
that manifest in a platform capable of 'changing the game'.
The four defining characteristics of Big Data – volume, variety,
velocity, and veracity – are discussed. You’ll understand how IBM is fully
committed to Hadoop and integrating it into the enterprise. Hear about how
organizations are taking inventories of their existing Big Data assets, with
search capabilities that helps organizations put their hands around what they
already know, and extending their reach into new data territories for
unprecedented model accuracy and discovery.
In this book you will also learn not just about the technologies that make up
the IBM Big Data platform, but when to leverage its purpose built engines for
analytics on data in-motion and data at-rest. And you’ll gain an understanding
of how and when to govern big data, and how IBM’s industry-leading InfoSphere
integration and governance portfolio helps you understand, govern, and
effectively utilize big data. Industry use cases are also included in this
An excerpt of this book is available and can be found: The
Big Data Hub. Also see the Big Data Hub for blog entries, videos, and other
resources that will help you on your journey in the Big Data world.
If you are attending the IBM
Information on Demand Conference, get a free printed copy of this book at the Information Desk at the big data booth #622 in the Expo. Bring your book to get signed by the authors at the IOD bookstore Tuesday October 23, 9:30 – 10:30.
After the conference is over, a free e-version of the book will be available
for you to download. Follow my blog to ensure that you are one of the first to
know where you can download the book.
Other sessions by these authors:
3818A Top Enterprise Big Data Use Cases - South Pacific B; Mon, Oct 22,
2012; 2:15 PM - 3:15 PM
3920B Ask the Experts: How Can A Big Data Platform Help Me? - Tradewinds A;
Tue, Oct 23, 2012; 1:45 PM - 2:45 PM
3920C Ask the Experts: How Can A Big Data Platform Help Me? - Tradewinds A;
Wed, Oct 24, 2012; 3:45 PM - 4:45 PM
2017B How to Get Started with Your First Big Data Project - South Pacific F;
Mon, Oct 22, 2012; 3:45 PM - 5:00 PM
3618A Big Data Reference Architectures - South Pacific A; Tue, Oct 23, 2012;
10:00 AM - 11:00 AM
3802A Customer Insight and the Customer Experience: New Capabilities with
Big Data and Analytics - Palm A; Tue, Oct 23, 2012; 11:15 AM - 12:15 PM
1660B Big Data Governance: An Emerging Imperative - South Pacific H; Tue,
Oct 23, 2012; 4:30 PM - 5:45 PM
3822A How to Build an Exploratory Big Data Analytics Capability for the
Enterprise - South Pacific B; Wed, Oct 24, 2012; 5:00 PM - 6:00 PM
2017C How to Get Started with Your First Big Data Project - South Pacific B;
Thu, Oct 25, 2012; 8:15 AM - 9:30 AM
4000A Trusted Information - The Foundation for Efficient Operations and
Smarter Analytics - Jasmine F; Sun, Oct 21, 2012; 2:15 PM - 3:15 PM
2309A InfoSphere Information Integration and Governance Track Keynote:
Future Directions for InfoSphere - South Pacific J; Mon, Oct 22, 2012; 10:15 AM
- 11:15 AM
3524A Real-Time Analytics on Extreme Data: Optimization of a Bayesian
Algorithm Within InfoSphere Streams - South Pacific B; Tue, Oct 23, 2012; 1:45
PM - 2:45 PM
2092A Using Big Data Technology to Revolutionize Cyber Threat Detection -
South Pacific F; Wed, Oct 24, 2012; 5:00 PM - 6:00 PM
Just in time for IBM’s Information on Demand Conference: a new book by Sunil Soares: No
doubt the biggest topic in tech these days is Big Data. Sunil uses
this guide to focus on Big Data plus one of the most important tech
topics: Governance. This
guide focuses on the convergence of two major trends in information
management—big data and information governance—by taking a strategic
approach oriented around business cases and industry imperatives. With
the advent of new technologies, enterprises are expanding and handling
very large volumes of data; this book, nontechnical in nature and geared
toward business audiences, encourages the practice of establishing
appropriate governance over big data initiatives and addresses how to
manage and govern big data, highlighting the relevant processes,
procedures, and policies. It teaches readers to understand how big data
fits within an overall information governance program; quantify the
business value of big data; apply information governance concepts such
as stewardship, metadata, and organization structures to big data;
appreciate the wide-ranging business benefits for various industries and
job functions; sell the value of big data governance to businesses; and
establish step-by-step processes to implement big data governance. Sunil
is a leading expert in the field and is the founder of Information
Asset LLC, a consulting firm focused on helping clients build
information governance programs, and a former director of information
governance at IBM. He is the author of two other high rated books: The IBM Governance Unified Process and Selling Information Governance to the Business. Susan
Modificado em por svisser1
Another great IBM conference is around the corner. This one is called InterConnect and is focused on cloud and mobile technologies. Since data and analytics play in both areas, you'll find great sessions to increase your skills and knowledge by attending.
The conference takes place in Las Vegas, February 22-26. I think most of us in the north east are already tired of winter, so a conference in a warmer climate is very welcome this time of year!
The Premier Cloud & Mobile Conference
February 22-26, 2015
Las Vegas NV
In today's digital economy, the impact of Cloud, Mobile, DevOps and Security on business is pervasive. Cloud, the great equalizer. Mobile, the activation point. DevOps, the culmination of innovation. All underpinned by Security.
From a data perspective, you'll find many options available:
Speakers: Beth Smith from IBM and Jeff Charette from Menuat
Organizations are looking for new ways to hone their engagement with clients through compelling web and mobile apps, and anticipate their clients‘ next move and optimize their operations with big data and analytics. Come join us for an evening of entertainment with a celebrity host to learn how data, when infused into all interactions and decision making, provides us all with new ways to create value and transform experiences. Sit back and have a drink, meet someone new and learn something unexpected.
KEY-6441: The New z13: Redefining Digital Business Through Integration of Cloud, Mobile, and Analytics
Speakers: Beth Smith and others.
Learn how the next generation of IBM z Systems is architected to meet the needs of your digital business. While operational excellence is still a focus, IT investment is shifting to value creation, service excellence and better client experience required in this digital era. Digital business fuels enterprise growth, and is vital for engaging clients and new prospects in new and better ways – empowering them through data and information, personalization and 24x7 access. New technology, innovations and solutions will be introduced that build on the strengths and core values of the IBM Mainframe platform and provide new opportunities and possibilities for growth and progress.
In the Expo, you'll find the IBM Analytics Zone. Here you will find the following pedestals:
Manage and analyze Data - in the cloud and on premises
Featured products: IBM dashDB, DB2 with BLU Acceleration, Informix, PureData
Integrate and govern data – for increased data confidence
Featured products: IBM InfoSphere Optim, Guardium, MDM, information integration
Refine data in the cloud – for data-aware applications
Featured product: IBM DataWorks data refinery
Analyze big data – at rest and in motion
Featured products: IBM InfoSphere Streams, BigInsights–enterprise-grade Hadoop
Leverage NoSQL database-as-a-service – in the cloud, always on
Featured product: IBM Cloudant
Build data-driven apps – in the cloud and on premises
Featured product: IBM Cloud data services
Attend an Expo Theatre Session to learn the latest from an expert:
There are a few books that have just published that are launching at this conference. Be the first to get a copy of the book and have it signed by the author!
by Judith Hurwitz, Marcia Kauffman, and Adrian Bowles.
You can pick up this book at the IBM InterConnect Conference. Also, be sure to attend Judith's talk and have her sign your copy of the book. She'll be speaking at the Expo Cloud Theatre on Tuesday, February 24 from 6-6:30 pm (Vegas time).
Rob will be at the IBM InterConnect bookstore on Wednesday February 25 from 10:30 – 11am (Vegas time). http://
Modificado em por svisser1
If you are attending the IBM InterConnect Conference this month, you can pick up this book at a discount and have it signed by the author:
This is a collaborative work by IBM Vice President of Big Data Products, Rob Thomas and Oxford Research Fellow, Patrick McSharry.
They wrote the book in a story format that demonstrates the power and potential of Big Data within the business realm. Research has shown that stories are one of the best ways to connect with readers. I've heard a few of Rob's stories and can tell you that months later I still remember them.
Big Data has been mentioned more often than any other technical term in the past 5 years, but what does it actually mean? By reading this book, you'll be guided through tried-and-true methodologies for getting more out of data, and will learn how to use it to your utmost advantage.
Big Data keeps evolving, and this book also describes the major trends emerging in the area. You'll hear about the pitfalls and triumphs being experienced, and will learn the many considerations surrounding Big Data, and how you can make better decisions by analyzing your own data.
Rob will be at the IBM InterConnect bookstore on Wednesday February 25 from 10:30 – 11am (Vegas time).
Read more about this book directly from Rob via his blog entries:
Congratulations on your book Rob! I'm looking forward to reading it once I get my hands on it!!
Flashbook: Big Data Analyticsby Dr. Arvind Sathi
About the Book:
Data Analytics is a popular topic. While everyone has heard stories
of new Silicon Valley valuation bubbles and critical shortage of data
scientists, there are equal number of concerns – Will it take away my
current organization or investment? How do I integrate my Data Warehouse
and Business Intelligence with Big Data? How do I get started, so I can
show some results? What are the skills required? What happens to data
governance? Unlike many other Big Data Analytics blogs and books, this
book presents a practitioner’s viewpoint. It identifies the demand for
Big Data Analytics, its engineering components and what happens on the
production floor. In doing so, it respects the large investments in
Data Warehouse and Business Intelligence and shows both evolutionary and
revolutionary ways of moving forward to the new brave world of Big
book discusses three perspectives on Big Data Analytics. First, why is
Big Data Analytics becoming so important and what can we do with it.
It presents major trends behind the rise of Big Data and shows typical
use cases tackled by Big Data Analytics – where leading organizations
are already seeing major benefits in using Big Data Analytics. Second,
it lists major components of Big Data Analytics - Unstructured Data
Analytics, Massively Parallel Processing, Adaptive Real-time and
Predictive Modeling, Data Privacy Management, Data Visualization, and
Ontologies. It shows how these components work together to provide an
integrated engine that can combine Big Data with traditional Data
Warehouse and Business Intelligence to provide an overall solution.
Third, it provides a glimpse at implementation concerns and how they
must be tackled. How do we combine various components, which are running
at different velocities and volumes? How do we get structured
information out of unstructured data and combine with other structured
data? How do we provide governance across this data, when the
originating data may have varying quality or privacy constraints? How
do we embark on an implementation road map in a systematic way to show
results as we go and build skill level and momentum for Big Data
Analytics in our organization?
If you are attending the IBM Information on Demand Conference, get a free printed copy of this book and meet the author at the Author Signing and Giveaway that is scheduled:
- Monday October 22, 4:00 p.m.–5:00 p.m. IOD Bookstore, Bayside Foyer; Session # 4243A in Smart Site.
the conference is over, a free e-version of the book will be available
for you to download. Follow my blog to ensure that you are one of the
first to know where you can download the book.
Also attend this session by the author of this book:
Session # 3645A - Smarter Operations at Verizon - A Case Study - Tue, Oct 23, 2012; 3:00 PM - 4:00 PM - South Seas J
Session # 1813A - Extreme Targeted Marketing: Micro Segmentation for Utilities and Cross-Industry Applications; Tue, Oct 23, 2012; 4:30 PM - 5:45 PM - South Pacific A
Today marks the first day of the new blog by David Birmingham called “Netezza Underground”. As you may remember, IBM purchased Netezza not that long ago. To refresh your memory, here is a description in the Press Release, IBM Completes Acquisition Of Netezza:
Netezza data warehouse appliances bring analytics directly into the hands of business users within every department of an organization such as sales, marketing, product development and human resources. The simplicity of deploying Netezza appliances makes the technology ideal for the needs of high-performance analytics, requiring minimal administration and IT skills, and enables clients to run complex data queries within days of deploying the solution.
David’s first blog entry introduces the need for the blog and looks at the counter-intuitive nature of the product's internals. In future entries, he’ll answer questions about the technology as a seasoned expert. If you’re interested in business analytics, data warehousing, and big data, this is definitely a blog that you want to subscribe to.
So, who is David? He’s not an employee of IBM or Netezza. David is a consultant working for Bright Light Consulting and is a huge fan of the Netezza product and architecture. A few years ago he also wrote a Netezza book:
Looking for more information about Netezza? Here are some additional resources that I’ve found:
- IBM Red Guide: The Netezza Data Appliance Architecture: A Platform for High Performance Data Warehousing and Analytics
- Netezza Community – links to David’s blog, plus other bloggers, including Jim Baum, Justin Lindsey, Phil Francisco, Brad Terrell, Shawn Dolley, Dai Clegg, and Patricia Colter.
- Enzee Universe – User Conference taking place in Boston June 20-22.
I’m looking forward to learning more about Netezza via David’s blog.
Modificado em por svisser1
Conferences are ideal for learning and networking This year at IOD, a new tutorial series has been created to help you do both. These are full day tutorial sessions that you can take either Sunday November 3 or Thursday November 7. There are 3 tutorials you can choose from. Each is a full day in length and is taught by an industry expert who is influential in the topic area.
Here are the 3 that are scheduled at this time. There is an additional fee for each and there is only limited space so we expect them to fill to capacity quickly.
Data Governance Fundamentals with IBM InfoSphere
Sunday, November 3
Sunil is the author of numerous books on data governance, including The Data Governance Unified Process, Selling Information Governance to the Business and others.
Evolving your Information Architecture; What? Why? How?
Dr. Peter Aiken
Thursday, November 7
Dr. Peter Aiken is widely acclaimed as one of the top data management authorities worldwide. In addition to examining the data management practices of more than 500 organizations, he has completed multi-year immersions with a range of diverse organizations in multiple industries. His latest book is The Case for the Chief Data Officer: Recasting the C-Suite to Leverage your most Valuable Asset.
Big Data, Hadoop, and Big SQL; A Crash Course
Dr. Vladimir Bacvanski
Thursday, November 7
Dr. Vladimir Bacvanski has more than two decades of engineering experience with software and data technologies in areas such as architecture and design of mission critical enterprise systems, rule-based systems, modeling tools, real-time systems, and database technologies. Vladimir is published worldwide and is a frequent speaker at leading industry events. He was awarded the title of IBM Champion for five consecutive years -- 2009-2013.
For more information on the sessions and the speakers, see bit.ly/iodtutorials
How to register
Visit ibm.co/IODtutorials and click the blue register button. This brings you to the main Information on Demand Conference page where you can register for the conference and also the tutorials. (Please note that if you are an IBMer, you will not see this list.)
To attend these sessions, you must be registered for the Information on Demand Conference. You can select the tutorial options you would like to attend as an add-on to your conference pass as part of the conference registration.. If you are already registered for the conference, then please contact the Registration / Housing line at 770-359-6591 to add one or more of these sessions to your conference registration.
Here is the screen to look for on the registration page:
Watch for coming blog entries that will describe sessions that you can choose to take while at the conference.
Modificado em por svisser1
DB2 11 for z/OS Generally Available on October 25, 2013
Rather than me telling you about it, I’m sharing content from experts:
Say "Hello" to DB2 11 for z/OS from IBM Champion Craig Mullins
DB2 for z/OS: How Big is Big? from Robert Catterall
Are you looking for some excellent DB2 11 reading materials? from Willie Favero
And last, but not least, the latest Flashbook: DB2 11 for z/OS - The Database for Big Data and Analytics
By Cristian Molaro, Surekha Parekh, Terry Purcell & Julian Stuhler
This book is filled with
Business Value of DB2 11 in the new era of Computing;
Deeper insight into new functions and features of DB2 11;
Executive Summary of DB2 Tools & Utilities;
The objective of this book is to give our customers insight into DB2 11, which was announced on October 1, 2013. Everyone is talking about DB2 11. Many of our Early Support Program customers have been testing this product and are seeing some incredible results! Our customers and business partners around the world are very enthusiastic.
So what’s new in DB2 11 that is causing so much excitement? Here is a quick summary of some of the exciting new features and business benefits of DB2 11, about which this book will give you deeper insight:
• Even more out-of-the-box CPU savings
• Enhanced resiliency
Fewer planned outages, fewer REORGs, faster recovery
Cost-effective archiving, access warm/cold data in single query
DB2 Analytics Accelerator performance enhancements
Big data integration
In-transaction real-time scoring
Advanced QMF analytic capabilities with mobile support
• Simpler, faster upgrades for faster ROI
6x faster catalog migration
Protection from incompatible changes
Repeatable testing with real workloads and integrated cloning
The book is segmented into two parts. The first part is all about the business value of DB2 11 for z/OS and explains the unmatched efficiency for big data and analytics. This section also includes short papers on the DB2 11 Optimizer and the business value of IBM tools and utilities. The second section focuses more on DB2 and System z and how DB2 for z/OS can reduce the total cost of ownership for organizations. With the enormous explosion of data, this is more critical now than ever before. We hope you find this book as valuable as our previous versions.
Download your free copy today. Flashbook: DB2 11 for z/OS - The Database for Big Data and Analytics
For those attending IOD this year, stop by the IOD bookstore on Monday, Nov 4 to get your free printed copy!