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Tag: data pipeline

A Data Platform for Chatbot Development

One of the most compelling use cases for AI at the moment is developing chatbots and conversational agents. While the AI part of the equation works reasonably well, getting the training data organized to build and train Read more…

CI/CD Pipeline: 7 Advantages To A Continuous Integration Approach to Data Pipelines

When it comes to modern software development, it’s not surprising that companies have a need for speed. But if you develop software too quickly, it can mean sacrificing quality, security and compliance. DevOps and con Read more…

Exploring the Top Options for Real-Time ELT

Competitive advantage in today’s world rests on a company’s ability to innovate and adapt to a rapidly changing environment. To do that, organizations must adopt real-time thinking in the way they approach the design Read more…

Airflow Available as a New Managed Service Called Astro

Companies can now get an Apache Airflow data orchestration environment up and running in less than an hour via Astro, a new managed service launched today by Astronomer, the commercial entity behind the popular open-sour Read more…

Monte Carlo Raises $135 Million to Grow Data Observability Biz

Data observability has emerged as one of the hottest sectors in the big data market, thanks to its focus on fixing broken data pipelines. One of the hottest players in the field is Monte Carlo, which this week announced Read more…

Building Continuous Data Observability at the Infrastructure Layer

Data is the lifeblood of business today, but getting it where it needs to go is hard, especially as data volumes grow. Data pipelines become the repeatable method for moving this digital crude, but monitoring the flows f Read more…

Monte Carlo Hits the Circuit Breaker on Bad Data

Data pipelines are critical conduits of information for data-driven companies. But what happens when the data in the pipeline becomes corrupted? In some situations, you want to immediately stop the flow of data, which is Read more…

Databricks Ships New ETL Data Pipeline Solution

Databricks today announced the general availability (GA) of Delta Live Tables (DLT), a new offering designed to simplify the building and maintenance of data pipelines for extract, transform, and load (ETL) processes usi Read more…

ETL Tool Apache Hop Graduates Incubator

Apache Hop, a metadata-driven data orchestration tool used to design and build pipelines, today emerged from incubator status and was named a Top-Level Project at the Apache Software Foundation, clearing the way for more Read more…

Inside AutoTrader UK’s Data Observability Pipeline

In the course of shifting its analytics estate to the cloud, AutoTrader UK has adopted many new tools and technologies, including BigQuery, Looker, and dbt, which have helped to democratize data access among users. Along Read more…

Bad Data Pipelines Costing Companies Big, Fivetran Finds

Stop us if you’ve heard this one before: Overworked data engineer builds faulty data pipeline, which leads to bad data, which leads to a bad outcome. It may be the same old song, but it’s also the current state of af Read more…

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…

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