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IBM InfoSphere DataStage v11.5 - Advanced Data Processing

IBM InfoSphere DataStage v11.5 - Advanced Data Processing

Category: Infosphere

Description

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.

Audience

Experienced DataStage developers seeking training in more advanced DataStage job techniques and who seek techniques for working with complex types of data resources.

Duration

2 days

Requirements

DataStage Essentials course or equivalent.

Curriculum

Unit 1 –Accessing databases
Topic 1:  Connector stage overview
• Use Connector stages to read from and write to relational tables
• Working with the Connector stage properties
Topic 2:  Connector stage functionality
• Before / After SQL
• Sparse lookups
• Optimize insert/update performance
Topic 3:  Error handling in Connector stages
• Reject links
• Reject conditions
Topic 4:  Multiple input links
• Designing jobs using Connector stages with multiple input links
• Ordering records across multiple input links
Topic 5:  File Connector stage
• Read and write data to Hadoop file systems
Demonstration 1: Handling database errors
Demonstration 2:  Parallel jobs with multiple Connector input links
Demonstration 3:  Using the File Connector stage to read and write HDFS files

p>Unit 2 – Processing unstructured data
Topic 1:  Using the Unstructured Data stage in DataStage jobs
• Extract data from an Excel spreadsheet
• Specify a data range for data extraction in an Unstructured Data stage
• Specify document properties for data extraction.
Demonstration 1:  Processing unstructured data

p>Unit 3 – Data masking
Topic 1:  Using the Data Masking stage in DataStage jobs
• Data masking techniques
• Data masking policies
• Applying policies for masquerading context-aware data types
• Applying policies for masquerading generic data types
• Repeatable replacement
• Using reference tables
• Creating custom reference tables
Demonstration 1: Data masking

p>Unit 4 – Using data rules
Topic 1:  Introduction to data rules
• Using the Data Rules Editor
• Selecting data rules
• Binding data rule variables
• Output link constraints
• Adding statistics and attributes to the output informatiobr />Topic 2:  Use the Data Rules stage to valid foreign key references in source data
Topic 3:  Create custom data rules
Demonstration 1:  Using data rules

p>Unit 5 – Processing XML data
Topic 1:  Introduction to the Hierarchical stage
• Hierarchical stage Assembly editor
• Use the Schema Library Manager to import and manage XML schemas
Topic 2:  Composing XML data
• Using the HJoin step to create parent-child relationships between input lists
• Using the Composer step
Topic 3:  Writing Hierarchical data to a relational table
Topic 4:  Using the Regroup step
Topic 5:  Consuming XML data
• Using the XML Parser step
• Propagating columns
Topic 6:  Transforming XML data
• Using the Aggregate step
• Using the Sort step
• Using the Switch step
• Using the H-Pivot step
Demonstration 1:  Importing XML schemas
Demonstration 2: Compose hierarchical data
Demonstration 3: Consume hierarchical data
Demonstration 4:  Transform hierarchical data

p>Unit 6:  Updating a star schema database
Topic 1:  Surrogate keys
• Design a job that creates and updates a surrogate key source key file from a dimension table
Topic 2:  Slowly Changing Dimensions (SCD) stage
• Star schema databases
• SCD stage Fast Path pages
• Specifying purpose codes
• Dimension update specificatiobr />• Design a job that processes a star schema database with Type 1 and Type 2 slowly changing dimensions
Demonstration 1: Build a parallel job that updates a star schema database with two dimensions

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Our Delivery

on site delivery

Online or On-site de

We created a personalized delivery strategy by offering blended learning

communities of practice

Communities of practice

Find a bunch of people who are on the same page with you.

engaging

Engaging

Engaging platform with gamification for collaboration and friendly competition.

interactive

Interactive

Interactive online trainings and live webinars available.

efficient

Efficient

A special learning environment can boost learning efficiency.

accesible

Accessible

Available anywhere and anytime, on your phone, computer or tablet.

Q&A

  • Can you customize courses to suit our particular requirements? Yes, of course. We offer training consultancy and we establish the most appropriate solution according to the specific needs and business objectives of your company. Contact us and we’ll find the best training solution for you.
  • Can individuals use your services or they are organized for companies?Yes, we organise open courses which can be accessed by individuals. Whether you are looking for an IT or a Business training, you can find it at Brain Concert. Moreover, you’ll meet people from the same area of work as you and we can create communities of practice, where you can share professional tips and tricks and best practices.
  • What types of trainings are available for my company? We offer a variety of courses: in the IT area, there are Agile & Lean Courses, Software Development Courses, QA Courses, Software Administration Courses and Security Courses. We also offer Business Courses, focused on the development of soft skills. Define your objectives and choose the most appropriate training for you or your company.
  • What should I know before choosing a training? You should know that we offer courses for everyone, but you have to choose according to some criteria. First, define your objectives, then, the level of the participants (basic, advanced). There are courses with some requirements attached because the participants of a training session must form a compact group in terms of their previous knowledge so that they and the trainers are on the same page.
  • What is the minimum number of participants if we want in-house training? The minimum number of participants for an in-house depends on the course type. Please contact us to establish these details.
  • Can you organize virtual training sessions or only face to face trainings? Yes, you can choose an online or offline training session. We use Knolyx, an e-learning platform to make the process of online training delivery as efficient as a face to face training session.