StreamSets Data Collector Edge is a lightweight agent used to create end-to-end data flow pipelines. We'll use it help stream data collected from a sensor.
Learn about reading data from different data sources such as Amazon Simple Storage Service (S3) and flat files, and writing the data into HDFS using Kafka in StreamSets.
Imbalanced data is a huge issue. With imbalanced data, accurate predictions cannot be made. Learn how to tackle imbalanced classification problems using R.
Learn about loading and storing data using Hive, an open-source data warehouse system, and Pig, which can be used for the ETL data pipeline and iterative processing.
Learn how to schedule and execute Talend jobs with Airflow, an open-source platform that programmatically orchestrates workflows as directed acyclic graphs of tasks.
Learn how to find the geographical location of a user using their IP address by just configuring NGINX with GeoIP MaxMind databases — without doing ANY coding!
Learn how to construct your database performance testing plan with all the most important elements, including a thread group, JDBC request, and summary report.
Learn about configuring JDBC Query Consumer, performing JDBC lookup with multiple tables, creating a data flow pipeline, and monitoring the stage and pipeline stats.
Learn how to configure the Protractor testing framework to use with the Cucumber Behavior-Driven Development framework for testing AngularJS applications.
Apache Spark is an in-memory distributed data processing engine and YARN is a cluster management technology. Learn how to use them effectively to manage your big data.
Comments
Apr 30, 2018 · Rathnadevi Manivannan
Thanks Sandeep
Apr 10, 2018 · Rathnadevi Manivannan
Please follow the below steps to test it locally:
Jan 08, 2018 · Rathnadevi Manivannan
Hi Ranga Nathan,
Thanks for your review comments.
The scripts required to run the Talend jobs are mentioned in the DAG files. SQL has nothing to do with DAG and scheduling.
Jan 03, 2018 · Rathnadevi Manivannan
Thanks for your comment
Sep 04, 2017 · Rathnadevi Manivannan
You are welcome