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Monday, 5 Oct @ 5 PM


This webinar will help you engineer a highly robust, scalable & efficient Data Lake solution using data services in the Google Cloud Platform. We will start with an overview of a data lake solution and then explore the various components of the solution including Batch & Streaming Analytics, Storage, Visualizations, etc.

In the first part of this series, we will identify various options to engineer a data warehouse, understand the basic difference between data lake & data warehouse storage and at a high level, review BigQuery as a data warehouse.

This will be best suited for developers, data engineers, data analysts, data scientists and business analysts. In order to get maximum benifit, basic proficiency with common query language, such as SQL, experience with data modeling, extract, transform and load activities & experience developing applications using a common programming language, such as Python, is recommended.


– Data Engineering concepts around Data Lake, Data Warehouse, ETL.
– Details around Data Lake & how Cloud Storage fulfils the need
– High level overview of BigQuery & its architecture


Nitin Khattar, – Customer Engineer, Google Cloud

Recommended for: Ios Developer, Android Developer, Software Developer, Applications Developer, Mobile Developer, Software Engineer, Backend Developer, Data Engineer, Data Scientist, Application Engineer, Software Test Engineer, Software Engineering Analyst, Big Data, Hadoop, Business Analyst, Data Consultant, Data Analyst, IT Manager, IT Practitioner

Webinar/Workshop organized by: TechGig

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