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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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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Introduction to Jenkins and CI/CD
Duration: 2 Days Code: BDT295 Category:The Introduction to Jenkins and CI/CD training course explores how to effectively configure and use Jenkins to increase code quality through continuous builds, code coverage and quality tools, and testing suites.
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Advanced Apache Airflow
Duration: 2 Days Code: BDT293 Category:The Apache Airflow Next Steps course is intended for either of two audiences: 1) data engineers that already work with Apache Airflow on a daily basis and want to understand the new changes that Airflow 2 brings; or 2) data engineers that have taken the Apache Airflow Fundamentals course and want to expand their knowledge of the advanced topics of Apache Airflow.
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Apache Airflow Fundamentals
Duration: 3 Days Code: BDT292 Category:Enhance your Apache Airflow proficiency through our ‘Advanced Apache Airflow’ course. Designed for experienced data engineers, this program covers Airflow 2 updates and dives into advanced topics, including connections, DAG creation, security, Kubernetes, and scaling. This hands-on course (70%) combines practical exercises with informative lectures, demos, and discussions (30%). It’s conducted using Python versions exceeding 3.5 and Airflow versions surpassing 2.1. Join us to take your Airflow skills to the next level and excel in data engineering and workflow orchestration.”