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Tag: ELT

Matillion Bringing AI to Data Pipelines

Data engineers historically have toiled away in the virtual basement, doing the dirty work of spinning raw data into something usable by data scientists and analysts. The advent of generative AI is changing the nature of Read more…

Matillion Looks to Unlock Data for AI

The rise of generative AI has put renewed focus on the importance of data. Without data that’s high in quality and up-to-date, an AI model simply will not generate output that’s as good as a model that has data with Read more…

In Search of Data Model Repeatability

Everybody wants to be data-driven--that much is clear. But that desire doesn’t necessarily translate into real business results, especially in competitive industries like ecommerce. Data quality has long been a burr Read more…

Bigeye Sounds the Alarm on Data Quality

In the past six months, 20% of companies have faced two or more severe data incidents that directly impacted the business’s bottom line, according to a new report on data quality issued today by Bigeye, a provider of d Read more…

Semantic Layer Belongs in Middleware, and dbt Wants to Deliver It

The folks at dbt Labs think the data transformation tool is the proper place to implement and manage a semantic data layer, as opposed to the BI tool or the data warehouse, where it has traditionally resided. And later t 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…

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…

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…

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…

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…

Oh Snap! Data Integration Firm the Latest Unicorn

Following a Series H round of funding totaling $165 million led by Sixth Street, data and application integration vendor SnapLogic is now worth over $1 billion, the company announced today. Since it was founded in 200 Read more…

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…

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