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The DataOps Blog

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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


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

MLOps: How Data Teams Can Give ML Algorithms Life and Longevity

Engineering, Industry

MLOps is emerging now more than ever in everyday workflows. Data Engineers are often tasked with the plumbing work to make data available for machine learning models. Even though statistically a small number of models get deployed to production, the ones that do often involve our time to manually update and test our previous workflows. But what is MLOps and…

Drew-Nicolette-Data-Engineer By May 4, 2022
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