0.0 hours - 80.0 hours
IBM Datacap 9.0.1: FastDoc Server Mode ( Code F253G )
This course shows you how to work with Datacap FastDoc in Server mode. Topics: create an application from Form Template; configure batch structure, rulesets, fingerprints, and export.
Make VMware work for you on IBM Cloud, Part 2: Deploy and migrate on-premises VMware workloads to IBM Cloud with these ...
IBM Cloud for VMware (IC4V) provides a private cloud infrastructure that can be quickly scaled up or down, and allows existing VMware clients to extend or move their workloads into the IBM Cloud. As a follow-up to Part 1, this tutorial explores various use cases for deploying client workloads on IBM Cloud, and shows how to migrate workloads from on premises to IBM Cloud and vice versa. The tutorial provides detailed descriptions of use cases covering software-defined networking and software-defined data center implementations, and explores implementation design for migrating client workloads to IBM Cloud.
Build cognitive solutions for industries, Part 3: Design patterns for making cognitive data searchable and ...
Cognitive computing is becoming increasingly important within the enterprise. In this tutorial, the third in a series, look at the design patterns for making cognitive data searchable and understandable.
This course is for individuals whose job includes responsibility for administering and maintaining an IBM Content Manager OnDemand MP V9.X system. The course includes hands on exercises.
IBM Content Manager OnDemand V9.X Administration ( Code U5NEN02G )
This intermediate course is designed for CMOD Report Administrators, that is, people who will be indexing and loading documents into a CMOD system. These people are responsible for creating the...
IBM Content Manager OnDemand V9.5 Advanced System Administration ( Code U5NEN03G )
This advanced course is for those whose job includes responsibility for administering an IBM Content Manager OnDemand system and who have a need for an in-depth knowledge of the OnDemand system...
This two-part series of articles steps through the process of text mining by using IBM® SPSS® Text Analytics for Surveys, version 4.0.1. Part 1 describes the objectives of survey text mining and presents sample data of a survey for analysis. In a tour of survey analytics, explore the capabilities of SPSS Text Analytics for Surveys in a step-by-step manner. Every step shows you a bit of information about your sample data. Learn how to use SPSS Text Analytics for Surveys to completely decipher survey data.
Big data architecture and patterns, Part 2: How to know if a big data solution is right for your organization
This article describes a dimensions-based approach for assessing the viability of a big data solution. By answering questions that explore each dimension, apply what you know about your own environment to determine whether a big data solution is appropriate. A careful look at each dimension yields clues about whether it's time for your big data services to evolve.
Learn how to capture the changes made on source transactional databases such as IBM DB2 and Oracle, and replicate them to the Apache Hadoop Distributed File System in IBM InfoSphere® BigInsights. Use change data capture replication technology in InfoSphere Data Replication 10.2 for InfoSphere DataStage with InfoSphere BigInsights support.
This article outlines the benefits of an industry-wide notation to express the rules for representing visualizations. It highlights one particular notation called VizJSON, which is based on Leland Wilkinson's The Grammar of Graphics approach for visualization.
Big data architecture and patterns, Part 5: Apply a solution pattern to your big data problem and choose the products ...
Using a scenario-based approach, this article outlines solution patterns that can help define your big data solution. Each scenario starts with a business problem and describes why a big data solution is required. A specific solution pattern (made up of atomic and composite patterns) is applied to the business scenario. This step-by-step approach helps identify the components required for the solution. At the end of the article, some typical products and tools are suggested.
MapReduce processing has created an entire set of new paradigms and structures for processing and building different types of queries. Getting the best out of Hadoop, however, means writing the appropriate MapReduce query to process the information. This article looks at a variety of different scenarios with cookbook-style examples of how to develop different types of queries.
IBM InfoSphere DataStage v11.5 Data Masking eLearning ( Code 1M424G )
Students will describe how the Data Masking Pack works; understand how to apply policies for different data types, understand how hash lookup policies work; create a data masking job.