This course is all about learning Apache beam using java from scratch. This course is designed for the very beginner and professional. I have covered practical examples.
In this course we shown lab sections for AWS & Google Cloud Platform, Kafka , MYSQL, Parquet File,BiqQuery,S3 Bucket, Streaming ETL,Batch ETL, Transformation.
Course content
Introduction
- Batch processing vs Realtime processing
- Apache Beam
- Lab : Installation & Setup
P Collections
- Introduction
- Lab : Creating a PCollection from file system
- Lab : Creating a PCollection from in-memory data
- Lab : PipelineOptions
Transformation – Element-wise
- PTransform
- MapElements
- MapElements
- MapElements using SimpleFunction
- ParDo
- Filters
- Flatten
- Partition
- Side Inputs
Transformation: Aggregation
- GroupByKey
- Distinct
- How to Count PCollection
- GroupByKey
Join
- Inner Join (CoGroupByKey)
- Left Outer Join
- Right Outer Join
Pipeline I/O
- AWS S3 (Part 1)
- ParquetIO Write
- Parquet Read
Integraton
- Beam integration with JDBC
- Beam integration with MongoDB
- Beam integration with HDFS
Beam Streaming
- Streaming- ETL
- Streaming ETL – 1 (Kafka Setup)
- Streaming ETL -2 (Kafka integration with Apache beam)
- Streaming ETL -3 (Count & Window)
- Streaming ETL -4 (Load data in MySQL)
Beam SQL
- BEAM SQL
- BEAM SQL Count & Group By
- Beam-SQL Inner Join
Apache Beam with Google Cloud Platform
- Introduction
- Create GCP Account
- GCP Storage Bucket Setup
- Read data from Google Storage
- Data Validation
- Ingesting into Google BigQuery
To see the full course content Download now
Course Prerequisites
- Java8
Who can attend
- Java developer
- Data Engineer
- Data Scientist
Number of Hours: 25hrs
Certification
NoneKey features
- One to One Training
- Online Training
- Fastrack & Normal Track
- Resume Modification
- Mock Interviews
- Video Tutorials
- Materials
- Real Time Projects
- Virtual Live Experience
- Preparing for Certification
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