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Tag: data pipeline

Hands-Off: Manual Data Integration Tasks Plummeting, Gartner Says

While the need to integrate data has never been greater, the addition of machine learning and other forms of automation is driving a large reduction in the amount of manual data management tasks that human workers are re Read more…

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…

From Big Beer to Big Data: Inside AB InBev’s Digital Transformation

With more than 500 beer brands and $55 billion in sales, Anheuser-Busch InBev is already the world's biggest beer company. And if all goes as planned with its digital transformation project, it will be the best beer comp Read more…

Google Doubles Down on Cloud Data Migration

Data integration startups have become prime acquisition targets as cloud analytics vendors look to beef up their migration capabilities. What that in mind, Google Cloud announced this week it intends to acquire data m Read more…

Streamsets Gets $35M for DataOps

StreamSets, which bills itself as the "air traffic control" tasked with preventing collisions from occurring with big data, today announced that it raised $35 million, which it will use to continue building its data oper Read more…

How to Build a Better Machine Learning Pipeline

Machine learning (ML) pipelines consist of several steps to train a model, but the term ‘pipeline’ is misleading as it implies a one-way flow of data.  Instead, machine learning pipelines are cyclical and iterative Read more…

Machine Teaching Will Drive Crowdsourced Cognition into the AI Pipeline

Building high-quality artificial intelligence (AI) is hard work. It’s a specialized discipline that historically has required highly skilled specialists, aka data scientists. Any time you require some highly skilled Read more…

How Disney Built a Pipeline for Streaming Analytics

The explosion of on-demand video content is having a huge impact on how we watch television. You can now binge watch an entire season's worth of Grey's Anatomy at one sitting, if that suits your fancy. For a media giant Read more…

Apache Airflow to Power Google’s New Workflow Service

Apache Airflow, the workload management system developed by Airbnb, will power the new workflow service that Google rolled out today. Called Cloud Composer, the new Airflow-based service allows data analysts and applicat Read more…

How Netflix Optimized Flink for Massive Scale on AWS

When it comes to streaming data, it's tough to find a company operating on a more massive scale than Netflix, which streams more than 125 million hours of TV shows and movies --  per day. Netflix captures billions of pi Read more…

The Cure for Chaos: Automating Your Data Pipeline

The number of SaaS applications companies use has exploded. Most SMBs use at least a dozen, which means customer data are spread across systems and departments. So while customers can engage with businesses through mo Read more…

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