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Byte-Sized ML Basic Series: Unsupervised Learning
Duration: 90 Minutes Code: BDT114 Category:I Cluster analysis is a vital component of unsupervised learning and data science.
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Advanced to Snowflake
Duration: 2 Days Code: BDT111 Category:This course provides an in-depth look into the Snowflake architecture and partitioning. Participants will build and RBAC hierarchy, incorporate Snowflake into a disaster recovery plan, optimize Snowflake performance and create automated workflows.
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Introduction to Snowflake
Duration: 3 Days Code: BDT110 Category:This course provides an architecture overview of Snowflake, set-up security, best practices. Participants will configure and deploy a Snowflake cloud-based database.
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Architecting with Google Kubernetes Engine
Duration: 1 Day Code: BDT109 Category:This three-day instructor-led class introduces participants to deploying and managing containerized applications on Google Kubernetes Engine (GKE) and the other services provided by Google Cloud Platform.
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Google Cloud Big Data
Duration: 4 Days Code: BDT108 Category:This course will introduce you to Google Cloud’s big data functions. You’ll begin with a quick overview of Google Cloud and then dive deeper into its data processing capabilities.
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Data Engineering on Google Cloud
Duration: 4 Days Code: BDT107 Category:Get hands-on experience with designing and building data processing systems on Google Cloud.
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ETL Processing on Google Cloud Using Dataflow and BigQuery
Duration: 1 Day Code: BDT105 Category:Gain practical expertise in constructing ETL data pipelines on Google Cloud through hands-on experience. This course employs a blend of informative lectures, live demonstrations, and interactive labs to guide you through the intricacies of designing data processing systems and constructing comprehensive end-to-end data pipelines
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Data Analysis and Visualizations on Tableau Server
Duration: Half Day Code: BDT103 Category:Tableau is a business intelligence tool that allows anyone to easily connect to data,
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Getting Started with Google Kubernetes Engine
Duration: 1 Day Code: BDT102 Category:Learn to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic. You also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.