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Tag: ETL

AWS Bolsters Glue ETL Tool with Data Observability, Ray Support

AWS has made a big push into data management during re:Invent this week, with the unveiling of DataZone and launch of zero-ETL capabilities in Redshift. But AWS also bolstered its ETL tool with the launch of Amazon Glue Read more…

AWS Seeks an End to ETL

Extract, transform, and load. It’s a simple and ubiquitous thing in IT. And yet everybody seems to hate it. The latest company to pile on to ETL is AWS, which declared an effort to end ETL yesterday at re:Invent. Ad Read more…

Microsoft Bolsters Azure Integration with SQL Server 2022

SQL Server 2022 customers will see benefits in the areas of data integration, analytics, governance, and high availability thanks to the database’s enhanced connectivity to the Azure cloud, Microsoft announced today. Read more…

How Snowplow Breaks Down Data Barriers

If you have suspicions about your data, you’re not alone. The AI and data analytics dreams of many a company have been broken by poor data management and defective ETL pipelines. But by enforcing data schema at the poi Read more…

Matillion Debuts Data Integration Service on K8S

Matillion yesterday debuted the Data Productivity Cloud, a new service that brings all of the vendor’s ETL and data integration tools together in a single software as a service (SaaS) offering running atop Kubernetes i Read more…

Dataddo Launches Free Data Integration Plan with No Extraction Limits

Dataddo, the vendor of a no-code data integration platform, has announced the launch of a free plan with no extraction limits. The company says this plan is meant to lower certain barriers within organizations that ca Read more…

How DataOps Strengthens Business Resilience and Agility

Agility is critical for any business looking to grow and remain relevant in today’s complicated industry landscape. Being able to quickly respond and reliably deliver actionable insights is vital for businesses — esp Read more…

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…

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…

Meet Matillion CEO Matthew Scullion, a Datanami 2022 Person to Watch

The market for extract, transform, and load (ETL) software is very well-established at this point, but there’s a fresh crop of new faces that are shaking up the market and grabbing share with new approaches and innovat Read more…

How Metrics Standardization Enables Self-Service Analytics

Many enterprises are on a journey to enable self-service analytics. They want to deliver self-service solutions that empower all of their users to use data and analytics for organizational benefits. An increasing number Read more…

Inside the Modern Data Stack

If you’ve heard about something called “the modern data stack,” then you’re not alone. Google returns 489 million results for that search, if that’s a measure of anything anymore. While the modern data stack do Read more…

Will the Data Lakehouse Lead to Warehouse-Style Lock-In?

Lakehouse architectures are gaining steam as a preferred method for doing big data analytics in the cloud, thanks to the way they blend traditional data warehousing concepts with today’s cloud tech. But could lakehouse 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…

Rockset Delivers Fast Analytics on SQL Server Data

Rockset today announced launched a new integration into SQL Server that will allow customers to continuously index production data as it hits the relational database and deliver sub-second analytics on that data. Rock Read more…

Data Automation Poised to Explode in Popularity, Ascend.io Says

The amount of data automation deployed in the wild is quite small at the moment, but it’s set to grow significantly in the months to come as overworked data teams seek respites from grueling manual data tasks. That’s 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…

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…

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…

Rockset Taps Reverse ETL for Last-Mile Delivery of Insight

Rockset has honed itself into a cloud-based database that generates real-time operational analytics from streaming data sources via SQL. Today it announced that it’s working with three of the early leaders in the nasce Read more…

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