Tweetchat: Enterprise Challenges of Incorporating Hadoop
svisser1 2700018UK9 Visits (3608)
Join us tomorrow at noon (eastern) for another Tweetchat. The topic: Enterprise Challenges of Incorporating Hadoop will surely be an exciting one.
Panelists:Jeff Kelly - Technology Market Analyst for Wikibon and contributor to Silicon Angle; James Kobielus - IBM Big Data Evangelist and ex-Forrester Analyst; Nancy Kopp - PureData Product Marketing
Join us to listen or contribute!
You don't need to be on twitter to "listen", but you do to contribute to the conversation. Here's what you do:
Go to tweetchat.com
Sign in with your twitter handle
Search on #bigdatamgmt
A new window will open that makes it easy for you to follow & contribute.
And you'll see the comments come flying. It is very fast paced. Here are a few questions that might give you an idea of what will be discussed in the tweetchat conversation:
• What are the core use cases for Hadoop?
• What role should Hadoop play in your data warehousing environment?
• When should you go with a Hadoop appliance?
• What complementary tools and applications help you get most value from Hadoop?
• What skill sets are necessary to get the most from your Hadoop investment?
• How much governance should you apply to data in Hadoop clusters?
• How do you know when to use open source vs when to go with a Hadoop distribution?
• How can does Hadoop relate to analytics? Can you run analytics with Hadoop?
With the launch last week, there were a number of articles written about this topic that I’d like to recommend you read:
A First-hand Account of the Big SQL Technology Preview by Christie Maver
So what is Big SQL exactly? As the name suggests, it’s SQL access to data in Hadoop, or in this case, BigInsights, our Hadoop-based big data platform. Find out more in Christie’s article.
If Hadoop Was Easy, Everyone Would Be Doing It: IBM PureData System for Hadoop aims to simplify big data for the enterprise by Nancy Kopp
The advantages of enhancing an analytic ecosystem with Apache Hadoop capabilities to leverage unstructured data have never been clearer. Just a few years ago, this technology was not available to enterprises—all we had was good-old structured data in the data warehouse. Today, though, the picture is very different. Hadoop is presenting tremendous opportunities to evolve from traditional data warehousing to big data platforms where organizations can process all kinds of data.
Hadoop is better with Big SQL from IBM - Prezi from Leon Katsnelson
Hadoop is a great technology for analyzing huge amounts of data. Hadoop can be hard to use. Big SQL brings the power of SQL to Hadoop. It lets you leverage your SQL skills and your JDBC and ODBC applications with data stored in HDFS and HBase.
IBM has already been investing in Hadoop-based projects for a considerable time now, and the tech giant has a new open source-based platform to add to its big data portfolio today.
Try it yourself! Introducing the IBM Big SQL Technology Preview
Download the code and begin testing in your environment!
Notable tweets from launch day:
IBM offers three entry points for Hadoop: free download, enterprise s/w, now integrated system, IBM PureData System for Hadoop.
Attend the April 30 Event: April 30 - Big Data at the Speed of Business - Find out more about managing big data, join IBM for a free event.
Big Data Hackathon: SQL for Hadoop: Work with Hadoop as if it was a relational database.