Course catalogue
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Learning Paths
4 Course
Data Engineering Essentials Workshop - SQL, Python, Spark SQL and PySpark
79.95
79.95
4
Courses
- Mastering SQL using Postgres (Feb 01 2023 - Nov 01 2023) >
- Programming Essentials using Python (Feb 01 2023 - Nov 01 2023) >
- Data Analysis using Spark SQL (Feb 01 2023 - Nov 01 2023) >
- Data Engineering at Scale using PySpark (Feb 01 2023 - Nov 01 2023) >
6 Course
Learn Big Data using Hadoop and Spark Online using Labs
Guided Program to build key Data Engineering Essential skills such as SQL, Python, Spark and Kafka with tons of Hands-on tasks and exercises using Multi Node Cluster.
150
150
6
Courses
- Mastering SQL using Postgres (Feb 01 2023 - Nov 01 2023) >
- Programming Essentials using Python (Feb 01 2023 - Nov 01 2023) >
- Linux Shell Commands for Absolute Beginners using Ubuntu 20x (Feb 01 2023 - Nov 01 2023) >
- Data Engineering at Scale using PySpark (Feb 01 2023 - Nov 01 2023) >
- Data Analysis using Spark SQL (Feb 01 2023 - Nov 01 2023) >
- Build Streaming Pipelines using Kafka and Spark Structured Streaming (Feb 01 2023 - Nov 01 2023) >
9 Course
Data Engineering using AWS Analytics
A Comprehensive Data Engineering Course using AWS Data Analytics Services such as s3, Lambda, EMR, Glue, Athena, Redshift, Kinesis, Kafka, etc.
400
400
9
Courses
- AWS Essentials for Data Engineers >
- Mastering AWS Lambda Functions for Data Engineers >
- Mastering AWS Elastic Map Reduce for Data Engineers (Feb 01 2023 - Feb 01 2024) >
- Mastering AWS Glue Catalog and Athena for Data Engineers >
- Mastering Amazon Redshift for Data Engineers >
- Streaming Pipelines using Kinesis and AWS EMR (Feb 01 2023 - Apr 01 2024) >
- Mastering AWS Managed Streaming for Kafka for Data Engineers >
- Data Analysis using Spark SQL (Feb 01 2023 - Nov 01 2023) >
- Data Processing using Pyspark Data Frame APIs (Feb 01 2023 - Feb 01 2024) >
Courses
AWS Essentials for Data Engineers
Overview of all Essential AWS Analytics Services for Data Engineers such as AWS s3, IAM, Step Functions, Boto3, Cloudwatch, Secrets Manager etc
Ad-hoc Data Analysis using Spark SQL and Databricks SQL
Let us, deep-dive into Spark SQL and Athena to understand how it can be used to build Data Engineering Pipelines. Spark with SQL will provide us the ability to leverage distributed computing capabilities of Spark coupled with easy-to-use developer-friendly SQL - style syntax.
Durga Viswanatha Raju Gadiraju
Advanced Databricks Features - Delta Lake and Cloud Files
As part of the course, you'll go through the comprehensive advanced Databricks features of Delta Lake and Cloud Files.