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Tag: ELT

Fivetran Raises $565 Million, Buys CDC Vendor HVR

Fivetran took a big step into the world of enterprise data integration today when it announced an Andreessen Horowitz-led $565 million round of financing and plans to acquire change data capture (CDC) vendor HVR for $700 Read more…

In Search of the Modern Data Stack

The modern data stack is many things to many people. It’s multi-cloud! It’s the data mesh! It’s BI plus AI! To get a better visibility into just what the modern data stack is, how it’s evolving, and why it all ma 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…

Why AI Is Failing for Enterprises: Predetermination Bias

Our best practices for managing data are ancient. Literally. For tens of thousands of years we’ve managed the future by predetermining the resources we think we’ll need, limiting our futures to what we can foresee Read more…

Informatica Accelerates DataOps with Spark, GPUs

Informatica today announced that customers can see up to a 5x performance boost for ETL and data management workloads when they run them under its new cloud-based data integration engine that’s powered by Apache Spark Read more…

Precisely to Expand M&A After Being Acquired in $3.5 Billion Deal

Precisely, previously known as Syncsort, will be acquired by Clearlake Capital and TA Associates in a deal that values the data integrity company at $3.5 billion, it was announced this week. Precisely says the deal will Read more…

Matillion Rides Cloud ETL to $100 Million Round

Buoyed by 400 enterprise customers in the Snowflake data warehouse alone, ETL provider Matillion has been on a roll, with growth accelerating into the second half of 2020. With today’s $100 million Series D round, the Read more…

Octopai Brings ETL Reverse-Engineering Tool to Azure Data Factory

If you want to make good data-driven decisions, it’s critical for your data to be as accurate as possible. But ensuring the accuracy of data can be a difficult task in large enterprise environments with thousands of co Read more…

Cloud Is the New Center of Gravity for Data Warehousing

The great migration of data into the cloud didn’t start in 2020, but it certainly accelerated throughout the year. And according to a new survey from IDG, the overwhelming majority of companies are planning to expand t Read more…

AWS Bolsters Its Lakehouse

Amazon Web Services wants you to create data silos to ensure you get the best performance when processing data. AWS also wants to help unify your data to ensure that insights don’t fall between the cracks. If you think Read more…

Snowflake Extends Its Data Warehouse with Pipelines, Services

Customers running atop Snowflake’s cloud data warehouse soon will find new functionality, including the ability to build ETL data pipelines in Python, as well as the ability to expose pre-built analytic routines as dat Read more…

Fivetran Launches Pay-As-You-Go Option for ETL

Fivetran wants to make it “stupidly simple” for customers to load data into cloud data warehouses, and judging from the company’s rapid growth, it seems to be working. Last week, the extract, transformation, and lo Read more…

Selecting a Data Lake ETL Platform? Here Are 6 Questions to Ask

Not all data lakes are created equal. If your organization wants to adopt a data lake solution to simplify and more easily operate your IT infrastructure and store enormous quantities of data without requiring extended Read more…

Beyond BI: Looker Seeks Bigger Role for Data

Looker is best known as a business intelligence platform, which it definitely is. But with today's release of Looker 7, the company is making a strong case that it's much more than that. In fact, here at its user confere Read more…

Can We Stop Doing ETL Yet?

Despite the advances we've made in data science and advanced analytics in recent years, many projects still are beholden to a technological holdover from the 1980s: extract, transform, and load, or ETL. It's uncanny how Read more…

The Critical Element for a Successful Digital Transformation? HTAP Powered by In-Memory Computing

Many of today’s digital transformation and omnichannel customer experience initiatives demand real-time analysis of data. For example, banks need to analyze transactions across their systems in real time to detect and Read more…

The Anatomy of AI: Understanding Data Processing Tasks

So you're collecting lots of data with the intention to automate decision-making through the strategic use of machine learning. That's great! But as your data scientists and data engineers quickly realize, building a pro 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…

Syncsort Aims to Bridge Hadoop ETL

When Cloudera took to the virtual airwaves last week with a press event proclaiming Hadoop as the center of gravity in the data warehouse, not everyone agreed. While some would say they were overstating Hadoop’s current position, there seems to be little controversy around the idea of Hadoop’s increasing role as a data warehouse offload tool. We spoke with Syncsort's Josh Rogers about this use case, and why it's picking up steam. Read more…

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