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IBM Accelerator for Machine Data Analytics, Part 5: Speeding up analysis of structured data together with unstructured data
Previously in this series, you created a searchable repository of semi-structured and unstructured data -- namely, Apache web access logs, WebSphere logs, Oracle logs, and email data. In this tutorial, you will enrich the repository with structured data exported from a customer database. Specifically, you will search across structured customer information and semi-structured and unstructured logs and emails, and perform analysis using BigSheets to identify which customers who emailed Sample Outdoors Company during the July 14th outage were more loyal than others.
Also available in: Chinese  
28 May 2013
IBM Accelerator for Machine Data Analytics, Part 3: Speeding up machine data searching
Machine logs from diverse sources are generated in an enterprise in voluminous quantities. IBM Accelerator for Machine Data Analytics simplifies the task of implementation required so analysis of semi-structured, unstructured or structured textual data is accelerated.
Also available in: Chinese   Japanese  
31 Jan 2013
IBM Accelerator for Machine Data Analytics, Part 2: Speeding up analysis of new log types
Machine logs from diverse sources are generated in an enterprise in voluminous quantities. IBM Accelerator for Machine Data Analytics simplifies the task of implementation required so analysis of semi-structured, unstructured or structured textual data is accelerated.
Also available in: Chinese   Japanese  
17 Jan 2013
Integrating SPSS Model Scoring in InfoSphere Streams, Part 1: Calling Solution Publisher from an InfoSphere Streams operator
This tutorial describes how to write and use an InfoSphere Streams operator to execute an IBM SPSS Modeler predictive model in an InfoSphere Streams application using the IBM SPSS Modeler Solution Publisher Runtime Library API.
Also available in: Chinese  
13 Oct 2011
Integrating SPSS Model Scoring in InfoSphere Streams, Part 2: Using a generic operator
Part 1 of this series describes how to write and use an InfoSphere Streams operator to execute an IBM SPSS Modeler predictive model in an InfoSphere Streams application using the IBM SPSS Modeler Solution Publisher Runtime library API. Part 2 takes the non-generic operator produced in Part 1 and extends it to be a generic operator capable of being used with any SPSS Modeler stream without any custom C++ coding needed.
Also available in: Chinese  
06 Oct 2011
Migrating InfoSphere Streams SPADE applications to Streams Processing Language, Part 3: Migrate SPADE user-defined function applications
The most significant new feature of Version 2.0 of the IBM InfoSphere(R) Streams product is the programming language model transformation from Streams Processing Application Declarative Engine (SPADE) to Streams Processing Language (SPL). Users with SPADE applications from previous versions will need to migrate and port their applications to SPL when upgrading their installations to Version 2.0. This tutorial is Part 3 of a 5-part series that uses actual SPADE samples to demonstrate a series of step-by-step procedures for migrating and porting different types of SPADE application content. Part 3 demonstrates the migration of SPADE user-defined function applications.
18 Jul 2011
Migrating InfoSphere Streams SPADE applications to Streams Processing Language, Part 5: Migrate SPADE user-defined built-in operator (UBOP) applications
The most significant new feature of Version 2.0 of the IBM InfoSphere(R) Streams product is the programming language model transformation from Streams Processing Application Declarative Engine (SPADE) to Streams Processing Language (SPL). Users with SPADE applications from previous versions will need to migrate and port their applications to SPL when upgrading their installations to Version 2.0. This tutorial is Part 5 of a 5-part series that uses actual SPADE samples to demonstrate a series of step-by-step procedures for migrating and porting different types of SPADE application content. Part 5 demonstrates the migration of SPADE user-defined built-in operator (UBOP) applications.
16 Jun 2011
Migrating InfoSphere Streams SPADE applications to Streams Processing Language, Part 4: Migrate SPADE user-defined operator (UDOP) applications
The most significant new feature of Version 2.0 of the IBM InfoSphere(R) Streams product is the programming language model transformation from Streams Processing Application Declarative Engine (SPADE) to Streams Processing Language (SPL). Users with SPADE applications from previous versions will need to migrate and port their applications to SPL when upgrading their installations to Version 2.0. This tutorial is Part 4 of a 5-part series that uses actual SPADE samples to demonstrate a series of step-by-step procedures for migrating and porting different types of SPADE application content. Part 4 demonstrates the migration of SPADE user-defined operator (UDOP) applications.
09 Jun 2011
Migrating InfoSphere Streams SPADE applications to Streams Processing Language, Part 2: Migrate SPADE mixed-mode applications
The most significant new feature of Version 2.0 of the IBM InfoSphere(R) Streams product is the programming language model transformation from Streams Processing Application Declarative Engine (SPADE) to Streams Processing Language (SPL). Users with SPADE applications from previous versions will need to migrate and port their applications to SPL when upgrading their installations to Version 2.0. This tutorial is Part 2 of a 5-part series that uses actual SPADE samples to demonstrate a series of step-by-step procedures for migrating and porting different types of SPADE application content. Part 2 demonstrates the migration of SPADE mixed-mode applications.
26 May 2011
Migrating InfoSphere Streams SPADE applications to Streams Processing Language, Part 1: Migrate basic SPADE applications
The most significant new feature of Version 2.0 of the IBM InfoSphere(R) Streams product is the programming language model transformation from Streams Processing Application Declarative Engine (SPADE) to Streams Processing Language (SPL). Users with SPADE applications from previous versions will need to migrate and port their applications to SPL when upgrading their installations to Version 2.0. This tutorial is Part 1 of a 5-part series that uses actual SPADE samples to demonstrate a series of step-by-step procedures for migrating and porting different types of SPADE application content. Part 1 demonstrates the migration of basic SPADE applications.
19 May 2011
High-performance solution to feeding a data warehouse with real-time data, Part 2: Explore the integration options with staging tables and WebSphere MQ messages
Feeding a data warehouse with changes from the source database can be very expensive. If the extraction is only done with SQL, there is no way to easily identify the rows that have been changed. IBM InfoSphere(TM) Replication Server can detect changed data by reading only the database log. This series shows how to use InfoSphere Replication Server to efficiently extract only the changed data and how to pass the changes to IBM InfoSphere DataStage(R) to feed the data warehouse. Part 1 of the 2-part series provided an overview of these products and how they can work together. In this Part 2, explore two integration options: using WebSphere(R) MQ messages with InfoSphere Event Publisher and using staging tables.
Also available in: Chinese   Spanish  
02 Sep 2010
Installing and configuring InfoSphere Streams on a virtual machine
IBM InfoSphere Streams is designed for large streaming applications that may span many Linux servers. When developing applications for InfoSphere Streams, or if you are just evaluating the product, you may find it more convenient to install it onto a virtual machine. Installing onto a virtual machine enables you to design and test streaming applications from your regular laptop or workstation computer. This tutorial provides a step-by-step procedure for installing and configuring InfoSphere Streams V1.2 with Red Hat Enterprise Linux and Eclipse on a VMware virtual machine.
Also available in: Korean  
08 Apr 2010
Introducing entity subtypes in IBM InfoSphere Master Information Hub
In this tutorial, learn how to implement entity subtypes and supporting services for IBM InfoSphere Master Data Management Server and InfoSphere Master Information Hub. Using an entity subtyping framework allows you to introduce new entities that may be processed by the services of their parent entities, which helps achieve service interoperability and extensibility for a new domain created using Master Information Hub.
Also available in: Chinese  
28 Jan 2010
Manage dimension tables in InfoSphere Information Server DataStage
Information Server DataStage Version 8.0 introduced the Slowly Changing Dimension (SCD) stage. This tutorial provides step-by-step instructions on how to use the SCD stage for processing dimension table changes. It also shows you how to use the output of the stage to update an associated fact table. The tutorial includes a fully operational download.
12 Mar 2009
WebSphere Product Center - First steps
IBM WebSphere Product Center is cutting edge software technology for Product Information Management (PIM). This highly flexible and scalable middleware helps companies manage, link, and synchronize product items inside and outside an enterprise, thus providing a single source of truth on product information. Learn the first steps of the WebSphere Product Center by creating your own company and modeling the product data in your organization. Follow step-by-step instructions and a sample scenario to become familiar and operational with WebSphere Product Center.
03 Aug 2006
Intro to WebSphere Information Integrator OmniFind Edition
WebSphere Information Integrator OmniFind Edition helps you locate information quickly and easily. This tutorial introduces OmniFind, walks you through how to install and configure the product, and explains how to use it.
10 Mar 2005

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