Course Description
ExistBI delivers the official 3-day Informatica Big Data for developers training in your office or via instructor-led virtual classroom to meet the needs of your team. Learn to leverage Informatica Big Data Management for the optimization of data warehousing through the offloading of data processing to Hadoop. Also discover options for the enhancement of a data warehouse through accessing NoSQL databases and complex file parsing.
Course Outcomes
At the end of the course, learners will be able to:
- Define “Big Data”
- Identify and prioritize the offloading resource intensive Data Warehouse processes to Hadoop
- Migrate PowerCenter mappings to Big Data Management and ingest data into Hadoop
- Migrate and ingest data into Hadoop using SQOOP and SQL to Mapping
- Describe the Informatica on Hadoop architecture
- Transform data on Hadoop using Informatica polyglot computing
- Differentiate the capabilities of the Informatica engines on Hadoop including Hive MR/Tez, Blaze, and Spark engines
- Leverage the Informatica Smart Executor
- Utilize Informatica and Hadoop monitoring and troubleshooting
- Parse and transform complex data such as JSON, AVRO, and Parquet
- Describe how Informatica parses, reads, and writes NoSQL data collections
Course Summary
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Course Modules
Big Data Integration Course Introduction
- Course Agenda
- Accessing the lab environment
- Related Courses
Testimonials
“The Informatica Cloud Data Integration for Developers training class was excellent, the teacher was very knowledgeable and the materials were very useful”
- James Martin, Data Engineer, RoyOMartin
“Tomi was great. He was very detailed and made sure I fully understood the section before moving on. There are so many functions, so the Informatica materials and lab books are super helpful.”
- Leroy Smith, ETL Developer, US Army
“Our Informatica Data Quality training class was very good. The trainer knew the tool and the Informatica platform very well. We recommed ExistBI for Informatica training.”
- Darren Jackson, CIO, US Bank
