IBM

This course provides the foundations of using IBM SPSS Modeler and introduces the participant to data science. The principles and practice of data science are illustrated using the CRISP-DM methodology. The course provides training in the basics of how to import, explore, and prepare data with IBM SPSS Modeler v18.2, and introduces the student to modeling.

This unit shows how to customize an IBM Content Navigator desktop. You learn how to customize the desktop appearance, modify Menus, Icons, and Labels, create a Viewer Map, and register a Plug-in. If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.

This training course is for those who want a foundation of IBM BigInsights. This course consists of two separate modules. The first module is IBM BigInsights Overview and it will give you an overview of IBM's big data strategy as well as a why it is important to understand and use big data. It will cover IBM BigInsights as a platform for managing and gaining insights from your big data. As such, you will see how the BigInsights have aligned their offerings to better suit your needs with the IBM Open Platform (IOP) along with the three specialized modules with value-add that sits on top of the IOP. Along with that, you will get an introduction to the BigInsights value-add including Big SQL, BigSheets, and Big R. The second module is IBM Open Platform with Apache Hadoop. IBM Open Platform (IOP) with Apache Hadoop is the first premiere collaborative platform to enable Big Data solutions to be developed on the common set of Apache Hadoop technologies. The Open Data Platform initiative (ODP) is a shared industry effort focused on promoting and advancing the state of Apache Hadoop and Big Data technologies for the enterprise. The current ecosystem is challenged and slowed by fragmented and duplicated efforts between different groups. The ODP Core will take the guesswork out of the process and accelerate many use cases by running on a common platform. It allows enterprises to focus on building business driven applications. This module provides an in-depth introduction to the main components of the ODP core --namely Apache Hadoop (inclusive of HDFS, YARN, and MapReduce) and Apache Ambari -- as well as providing a treatment of the main open-source components that are generally made available with the ODP core in a production Hadoop cluster. IBM BigInsights v4 itself is built upon the ODP core and these other main open-source components.The relationships between the IBM Open Platform with Apache Hadoop and the BigInsights add-ons is covered briefly in Unit 1 - pro.

DB2 11 for z/OS beginning DBAs can develop fundamental skills or recognition through lectures and hands-on exercises of: DB2 Objects Structured Query Language DB2 Commands DB2 Utilities DB2 Logging DB2 Program Preparation The course materials cover DB2 11 for z/OS.

This course is designed to introduce you to advanced parallel job data processing techniques in DataStage v11.5. In this course you will develop data techniques for processing different types of complex data resources including relational data, unstructured data (Excel spreadsheets), and XML data. In addition, you will learn advanced techniques for processing data, including techniques for masking data and techniques for validating data using data rules. Finally, you will learn techniques for updating data in a star schema data warehouse using the DataStage SCD (Slowly Changing Dimensions) stage. Even if you are not working with all of these specific types of data, you will benefit from this course by learning advanced DataStage job design techniques, techniques that go beyond those utilized in the DataStage Essentials course.

This course is designed to prepare DB2 Linux, UNIX and Windows database administrators for planning, installing, managing and monitoring a DB2 pureScale database system. This course covers the features and functions of the DB2 pureScale feature for DB2 10.5, including fixpack levels 4 and 5. This is a lecture-only course.

This course teaches authors, with basic knowledge of group accounting and Microsoft Excel, how to design and generate financial reports using IBM Cognos Controller. Students will learn how to create ad hoc and standard reports to analyze data. They will also develop custom reports using the Report Generator utility and the Excel Link. In addition, students will learn how to run multiple reports at the same time with report books. If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.

This course focuses on reviewing concepts of data science, where participants will learn the stages of a data science project. Topics include using automated tools to prepare data for analysis, build models, evaluate models, and deploy models. To learn about these data science concepts and topics, participants will use IBM SPSS Modeler as a tool.

This course teaches database administrators various features they must be familiar with as DB2 11 for z/OS Database Administrators. These include program preparation, online schema changes, user defined functions, archive-enabled and temporal tables, partition management, stored procedures, and triggers. The course includes many hands-on demonstrations which give the students experience with the included topics. Additionally, there is information on other features in the course appendices, including schemas and user defined data types, clone tables, materialized query tables, large objects, global variables, and row permissions and column masks. This course is a follow-on course to CV832 IBM DB2 11 for z/OS Database Administration Workshop Part 1. Note: This course is 3 days in length. If the instructor has time, he can cover the optional appendices as desired.

In this course, you will learn how to use the IBM InfoSphere suite to analyze data and report results to business users. Information discovered during analysis will be used to construct data rules. This course will also explore techniques for delivering data analysis results to ETL developers and demonstrate how to develop more meaningful meta data to reflect data discovery results. An information analysis methodology and a case study will be used to guide exercises.

This unit shows how to create Entry Templates using Entry Template Manager and to add items to the repository using these templates. You will also learn how to customize the property layouts, associate an entry template to a folder, and configure entry template management. If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.

This course introduces the features and components provided with IBM Case Foundation 5.2.1. IBM Case Foundation 5.2.1: Introduction (F230G) covers:   Introduction to Basic elements of FileNet workflow applications. Introduction to the administrative tools used to administer FileNet workflow applications. IBM Case Foundation architecture. IBM Case Foundation 5.2.1: Introduction (F230G) is the first course in in the series of courses available for IBM Case Foundation 5.2.1 If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.

This course teaches application developers how to set up a Controller application and effectively use Controller in their organization’s consolidation process. Students will also design and generate financial reports using Controller. Through a series of lectures and hands-on exercises, students will set up a Controller application by creating the necessary structures (such as accounts and companies), and then test the application to ensure that it works properly. Students will also learn how to work with currency translation, allocations, inter-company transactions, investments in subsidiaries, advanced formula calculations, and user-defined business rules, as well as define configuration settings and user access to the application.

This course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis process. Students will learn the basics of reading data, data definition, data modification, and data analysis and presentation of analytical results. Students will also see how easy it is to get data into IBM SPSS Statistics so that they can focus on analyzing the information. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base features.

This course will teach about the InfoSphere Change Data Capture (CDC) component of the IBM InfoSphere Data Replication family of solutions. This course will examine the architecture, components and capabilities of CDC, and discuss various ways to setup and implement the software. This course will explore how to operate and troubleshoot CDC and discuss "Best Practices" in maintaining the Environment. Lastly, use cases will be provided to help student understand how replication is used using InfoSphere Change Data Capture to a Business Environment.  

IBM Netezza Analytics provides a game-changing experience for Data Scientists by allowing data miners and quantitative analysts to leverage all the data while still achieving high performance throughout the entire modeling cycle - from data prep through exploratory data analysis through to model scoring and deployment. By leveraging the massively parallel processing architecture of an IBM Netezza Appliance, analytics can be performed in-database so that there is no superfluous data movement. This harnesses the full power of IBM Netezza Appliance and allows data miners and quantitative analysts to greatly reduce the time to build and deploy/score a model in a single environment while leveraging increasing massive data sets and shrinking the time from model concept to deployment.  This course will focus on how to effectively leverage the IBM Netezza Analytics platform to build, test and score analytic models in-database. You will learn how to leverage:  In-Database Analytics fully scalable and parallelized in-database analytics package, Enterprise R, the statistical language, that runs on Netezza. Matrix Engine, a parallelized, linear algebra package

The InfoSphere MDM Application Toolkit course introduces students to the Business Process Manager (BPM) and the Process Designer to create processes that will use MDM data and services. This course has a heavy emphasis on exercises and takes a participant through creating a process to search and update a customers address. The search, get and update services are performed against the InfoSphere MDM. If you are looking to get an introduction to how BPM and MDM can work together using the MDM Application Toolkit, then this course is for you.

This course is designed to introduce the student to some of the additional capabilities and the administration of IBM Big SQL. IBM Big SQL allows you to access your HDFS data by providing a logical view to it. You can use the same SQL that was developed for your data warehouse data on your HDFS data. This course covers Big SQL security using row and column access controls, impersonation, and data federation. The course also covers some of the best practices, performance tuning, and monitoring techniques, YARN integration and also includes an optional unit to explore a Big SQL installation.