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Simplify Big Data Processing

What Is Data Processing? 

The first step in building a data pipeline, is Data Ingestion, which collects data that potentially has useful information. In order to load all your data into a data warehouse to perform further analysis, you need a processing workflow to accomplish this.

When using a traditional database model, where data is stored then processed or analyzed at a later time, insights can be derived from data that is out of date. Data processing in the cloud can provide actionable insights that respond to changing conditions and customer behavior quicker than ever before. 
Big data processing involves batch, real-time, and streaming data processing to assist organizations ingesting, storing, and analyzing large sets of data to uncover insights and make informed decisions. Let's learn more about these different processing workflows:
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