This offering provides analysts with an introduction to create embedded dashboards in Cloud Pak for Data, as well as dashboards and reports using the Cloud Pak for Data’s Cognos Analytics service
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This offering teaches you how IBM Watson OpenScale on IBM Cloud Pak for Data lets business analysts, data scientists, and developers build monitors for artificial intelligence (AI) models to manage risks. You will understand how to use Watson OpenScale to build monitors for quality, fairness, and drift, and how monitors impact business KPIs. You will also learn how monitoring for unwanted biases and viewing explanations of predictions helps provide business stakeholders confidence in the AI being launched into production. Note: This course contains the same topics as W7069G Watson OpenScale Methodology WBT.
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This offering provides analysts an introduction to the basics of IBM Watson Knowledge Catalog on IBM Cloud Pak for Data. Learners will be introduced to the Cloud Pak for Data product layout and functionality and the role of services within the product. They will learn to access the Watson Knowledge Catalog through the service, and gain skills in creating catalogs, populating them with assets, and then managing the assets in the catalog.
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This course is designed to teach data scientists, Operational Research specialists, and business analysts how to build, run and deploy basic optimization models using IBM Decision Optimization on IBM Cloud Pak for Data. You will learn how to create projects to manage your resources, use the user-friendly Model Builder interface to build, run and visualize models, use different methods to formulate models, including using the Modeling Assistant for formulate your model in natural language. You will also learn how to import and use python notebooks to create your models, and how to deploy the solution to end users within Cloud Pak for Data.
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IBM Stewardship Center for Information Server v11.5 provides event notification with workflow and remediation. Business users can be notified and respond to Information Server events, when they occur. These events include data quality exceptions occurring in Information Server products such as DataStage and Information Analyzer. These events also include catalog edits to governance categories and terms occurring within the Information Governance Catalog.
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.
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This 2M625G: IBM InfoSphere Information Governance Catalog course enables students to acquire the skills necessary to use the Information Governance Catalog to analyze metadata stored within the Information Server Repository. The emphasis is on how metadata gets captured within the repository and how to explore and analyze the metadata it contains.
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.
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In this 2M803G: IBM Information Analyzer Essentials v11.5 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.
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The 2L451G: DB2 11 BLU Acceleration Implementation and Use course is intended for Data Administrators that need to prepare for using the DB2 BLU Acceleration facilities of DB2 11.1 for Linux, UNIX and Windows systems. The concepts and facilities of the BLU Acceleration feature of DB2 11 are presented including loading data into column-organized tables and monitoring the processing of SQL statements that access the tables.
The DB2 10.5 Fix Pack 4, referred to as Cancun, added support for Shadow tables, a new type of Materialized Query Table, and also Column-organized User Maintained MQT tables. One lecture unit describes these features. A demonstration allows students to implement and experiment with these functions. With DB2 11.1, BLU Acceleration can be used in a clustered multiple database partition DB2 environment.
This course includes a lecture and demonstration that allows students to create a set of column-organized tables from an existing set of row-organized tables and execute and analyze the performance of BLU Acceleration in a MPP database. The lab demonstrations are performed using DB2 LUW 11.1 for Linux.
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.
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This 2M204G: IBM InfoSphere DataStage Essentials v11.5 course enables the project administrators and ETL developers to acquire the skills necessary to develop parallel jobs in DataStage. The emphasis is on developers. Only administrative functions that are relevant to DataStage developers are fully discussed. Students will learn to create parallel jobs that access sequential and relational data and combine and transform the data using functions and other job components.
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This 2M700G: IBM BigIntegrate for Data Engineers v11.5.0.2 course teaches data engineers how to run DataStage jobs in a Hadoop environment. You will run jobs in traditional and YARN mode, access HDFS files and Hive tables using different file formats and connector stages.
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.
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This course is designed to introduce advanced parallel job development techniques in DataStage v11.5. In this course you will develop a deeper understanding of the DataStage architecture, including a deeper understanding of the DataStage development and runtime environments. This will enable you to design parallel jobs that are robust, less subject to errors, reusable, and optimized for better performance.
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.
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This 2L464G: Db2 11.1 Advanced Database Administration course is designed to teach you how to:
- Perform advanced monitoring using the Db2 administrative views and routines in SQL queries.
- Manage the disk space assigned in Database Managed Storage (DMS) and Automatic Storage table spaces, including the activities of the rebalancer.
- Use SQL queries and Db2 commands to check the high water mark on table spaces and to monitor the rebalance operation.
- Utilize the REBUILD option of RESTORE, which can build a database copy with a subset of the tablespaces using database or tablespace backup images.
- Plan and execute the TRANSPORT option of RESTORE to copy schemas of objects between two Db2 databases.
- Create incremental database or tablespace level backups to reduce backup processing and backup image storage requirements.
- Implement automatic storage management for table spaces and storage groups or enable automatic resize options for DMS managed table spaces to reduce administration requirements and complexity.
- Describe the various types of database memory including buffer pools, sort memory, lock memory and utility processing memory.
- Adjust database or Db2 instance configuration options to improve application performance or processing efficiency.
- Implement Db2 Self Tuning Memory management for specific database memory areas.
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.
