Understanding LLM’s: January 13th & 14th, 2025
2 – Half Days (9:00 a.m to 12:00 p.m PST) ENDING IN :
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Data Engineering and Analytics on GCP (Google Cloud Platform)
Duration: 1 Day Code: BDT34 Category:This training provides an in-depth introduction to data engineering and analytics on Google Cloud Platform (GCP). Participants will explore key GCP services such as BigQuery, Dataflow, and Cloud Storage while learning to build scalable data pipelines and analyze datasets effectively.
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Data Engineering and Analytics on AWS (Amazon Web Services)
Duration: 1 Day Code: BDT33 Category:This training provides a hands-on introduction to data engineering and analytics capabilities on AWS. Participants will learn how to build scalable data pipelines, process and analyze data, and use key AWS services such as AWS Glue, Redshift, and Athena.
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Data Engineering and Analytics on Microsoft Cloud – Azure
Duration: 1 Days Code: BDT32 Category:This training focuses on the powerful data engineering and analytics capabilities provided by Microsoft Azure. Participants will learn how to build robust data pipelines, process large datasets, and perform analytics using Azure services.
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Kickstart DBT for Snowflake in a Day
Duration: 1 Day Code: BDT302 Category:In this one-day course, students will dive into core concepts of data build tool (DBT) and learn how to streamline data engineering pipelines for Snowflake.
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Mastering Data Build Tool (DBT) for Snowflake
Duration: 2 Days Code: BDT301 Category:In the data-driven landscape, the ability to efficiently manage, transform, and materialize data is crucial.
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Kickstart Snowpark with Python
Duration: 1 Day Code: BDT300 Category:Snowpark is a new developer experience for Snowflake that allows developers to write code in their preferred language: Scala, Java or Python to supplement the original SQL interface.
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Snowflake: A to Z including Snowpark
Duration: 4 Days Code: BDT299 Category:With the growth of Big Data and the ever-expanding cloud computing environments, it became necessary for a platform that would provide data warehousing capabilities for advanced analytics.
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Getting Started with Apache Spark using Databricks
Duration: 4 Days Code: BDT97 Category:Jumpstart your data journey with our ‘Getting Started With Apache Spark Using Databricks’ training. This course empowers participants to tackle complex data challenges, harnessing the potential of Apache Hadoop and Apache Spark to uncover valuable insights across various domains.
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Snowflake for Non-Programmers
Duration: 4 Hours Code: BDT270 Category: Non ProgrammersThe course outline for Snowflake Data Warehouse for non-programmers covers the basic concepts of Snowflake, including its architecture, key features, and benefits.
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Introduction to Predicitive Analytics
Duration: Half Day Code: BDT196 Category: Data EngineeringOur training program unveils the science of predictive analytics, empowering you to extract valuable insights from historical data. Learn to shape the future by accurately forecasting outcomes using advanced statistical and machine learning techniques.