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Tag: data pipeline

The Data Mesh Emerges In Pursuit of Data Harmony

The data mesh is a new concept that’s emerging in big data circles. Similar in some respects to data fabrics, the data mesh provides a way to reconcile and hopefully overcome the challenges posed by previous data archi Read more…

Data Pros Are Maxed Out: Survey

The demands of the data-driven life are wearing on data professionals, according to survey results unveiled this week by data pipeline automation solution developer Ascend.io, which found that 96% of data professionals a Read more…

50 Years Of ETL: Can SQL For ETL Be Replaced?

It’s hard to imagine data warehousing without ETL (extract, transformation, and load).  For decades, analysts and engineers have embraced no-code ETL solutions for increased maintainability. Does this mean that Struct Read more…

Future Proofing Data Pipelines

Data pipelines are critical structures for moving data from its source to a destination. For decades, companies have used data pipelines to move information, such as from transactional with analytic systems. However, as Read more…

Prophecy Spins Up Low-Code Data Pipeline Tool

In recent years, the shortage of data engineers has at times exceeded the shortage of data scientists. To help close the gap, a Silicon Valley startup called Prophecy today unveiled a low-code data engineering tool that Read more…

What Is a Data Cloud? And 11 Other Snowflake Enhancements

Snowflake has changed how the industry thinks about data warehouses with its cloud-native offering, which has been adopted by 4,000 organizations, including 2,000 in the last year alone. Now the company is taking the con Read more…

Data Pipelines of a Higher Order

Data pipelines are being constructed everywhere these days, moving huge swaths of data for a wide variety of operational and analytical needs. There’s no doubt that all these data pipelines are keeping data engineers b Read more…

StreamSets Eases Spark-ETL Pipeline Development

Apache Spark gives developers a powerful tool for creating data pipelines for ETL workflows, but the framework is complex and can be difficult to troubleshoot. StreamSets is aiming to simplify Spark pipeline development Read more…

Databricks Donates Delta Code to Open Source

Databricks today announced that it's open sourcing the code behind Databricks Delta, the Apache Spark-based product it designed to help keep data neat and clean as it flows from sources into its cloud-based analytics env Read more…

Data Pipeline Automation: The Next Step Forward in DataOps

The industry has largely settled on the notion of a data pipeline as a means of encapsulating the engineering work that goes into collecting, transforming, and preparing data for downstream advanced analytics and machine Read more…

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