Remove Data Integration Remove ETL System Remove Unstructured Data
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Using Kappa Architecture to Reduce Data Integration Costs

Striim

Showing how Kappa unifies batch and streaming pipelines The development of Kappa architecture has revolutionized data processing by allowing users to quickly and cost-effectively reduce data integration costs. Stream processors, storage layers, message brokers, and databases make up the basic components of this architecture.

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5 Reasons Why ETL Professionals Should Learn Hadoop

ProjectPro

While the initial era of ETL ignited enough sparks and got everyone to sit up, take notice and applaud its capabilities, its usability in the era of Big Data is increasingly coming under the scanner as the CIOs start taking note of its limitations. Industry experts place a great emphasis on individuals to learn Hadoop.

Hadoop 52
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What is ETL Pipeline? Process, Considerations, and Examples

ProjectPro

Incremental Extraction Each time a data extraction process runs (such as an ETL pipeline), only new data and data that has changed from the last time are collected—for example, collecting data through an API. For instance, specify the list of country codes allowed in a country data field.

Process 52