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StreamSets Data Integration Blog

Where change is welcome.

Redis Pipeline: How to Publish and Subscribe Data from Redis to Your Destination

Engineering

Looking to build a Redis pipeline? Before we dig in and build our pipeline, let’s discuss what Redis is, its benefits, and common Redis pipeline use cases. What is Redis? Redis, which stands for Remote Dictionary Server, is an open source (BSD licensed), in-memory data structure store used as a database, cache, message broker, and streaming engine. Redis delivers sub-millisecond…

Kafka Streaming: Live Streaming Kafka Application to Cassandra

Engineering, Use Cases

Author Bio: Isaac Omolayo is a Data Engineer with 4 years of experience in building ETL processes, data infrastructures, automated data systems, working with cloud engines, and data analytics. He has vast knowledge in working with Apache Kafka, Kafka Streaming, Apache Spark, Apache Airflow, Databases (SQL/NoSQL), Python and many other Big Data technologies. Generally, Isaac is a lover of open-source…

By May 12, 2022

Announcing SOC 2 Type II Certification for the StreamSets DataOps Platform

StreamSets News

The StreamSets DataOps Platform has successfully completed a SOC 2 Type II Compliance Audit. Our SOC 2 report came with zero exceptions, which is a testament to our established and rigorous systems and processes for handling data.  With our commitment to empowering data engineers to build and run smart data pipelines for data integration comes an understanding of how important…

The Importance of Data Orchestration Pipelines for Organizations

Use Cases

Maryann Agofure is a Cloud engineer and technical writer who loves fried plantains. She’s currently on a cloud data engineering journey to gain a deeper understanding of data pipelines for better analysis, hence her interest in data orchestration, and seeking ways to grow her knowledge with big data tools. Her job as a Technical writer also helps her research and…

By May 9, 2022

The Role of ETL in Data Integration

Engineering

The relationship of data to today’s modern enterprise is becoming more sophisticated. As data sources continue to increase and data formats continue to evolve, ETL and its place in modern data integration are also changing. What was once a simple three-step process, ETL has become more nuanced and is often even replaced by a new data integration strategy, ELT.  So,…

By May 5, 2022
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