DataLake Stream Data Processing using Apache Beam

REGISTRATION IS MANDATORY TO ATTEND THE WEBINAR. https://lnkd.in/e5KNbTY3

There are various technologies related to big data in the market such as Hadoop, Apache Spark, Apache Flink, etc, and maintaining those is a big challenge for both developers and businesses.

Which tool is the best for batch and streaming data?
Are the performance and speed of one particular tool enough in our use case?
How should you integrate different data sources?
If these questions often appear in your business, you may want to consider Apache Beam.

Apache Beam is an open-source unified model for processing batch and streaming data in a parallel manner. It aims to provide a unified stream processing model along with a set of language-specific SDKs for defining and executing complex data processing, data ingestion and integration workflows. This will simplify how we implement and think about large-scale batch and streaming data processing.

In our upcoming webinar, Knoldus Big Data expert Mithilesh Singh will walk you through the concept of the Apache Beam SDK for Modeling Streaming Data for Processing. We will also explore Beam APIs for defining pipelines, executing transforms, and performing windowing and join operations.

Who should attend:

Technical and Business leaders focused on Data Lakes and Data Engineering
Data Analytics Engineers
Big Data, Data Science, Data Architecture, and Database Administration

REGISTER NOW: https://lnkd.in/e5KNbTY3

Note: Can’t make it at this time? Register anyway, and we’ll send you the on-demand version after the live event.