A data warehouse is a big storage area for lots of data. It involves cleansing, formatting, and storing data from various sources such as databases, files, and other data formats.
In data warehousing, we use different tools like ETL (Extract, Transform, Load), data migration tools, and data lakes. These tools help collect, clean, and arrange data from different sources so it can be easily used for analysis and reports.
Technogeeks Data Integration and Data Warehousing courses in Pune offer training on ETL Testing and ETL Development.
In this course you will learn how to collect, organize, and analyze data effectively. By working on 2 real-time projects and daily assignments provided by a trainer, you’ll gain the skills needed for jobs that involve managing and using data.
Additionally, we offer ETL testing and ETL development using IICS (Informatica Intelligent Cloud Services). In this course, you’ll learn how to test ETL processes with IICS, a cloud-based tool that helps manage and automate these processes.
All Data Integration and Data Warehousing courses in Pune start from the basics, where you will start from scratch. In these courses, you’ll learn everything you need to know including ETL Testing, ETL Development, ETL Testing with IICS, and ETL Development with IICS.
Everything you need to launch your career in tech
Build a real-time event ingestion engine using Apache Kafka and PySpark Structured Streaming to process high-velocity user activity logs, storing results in AWS Redshift for analytics dashboards.
Handles 100,000+ events/sec with sub-second latency
Design an ACID-compliant Lakehouse architecture using Databricks and Delta Lake. Implement Time-Travel queries, data versioning, and automated data quality checks for credit card transactions.
ACID transactional guarantees across 500GB+ datasets
Construct an automated cloud warehouse pipeline using Snowflake Snowpipe and Apache Airflow. Transform raw clinical records into dimensional Star Schemas optimized for executive decision-making.
Reduced query execution time by 70% via clustering keys
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