Tag: ETL
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…
Informatica Raises $840 Million in NYSE IPO
Informatica, a longtime leader in enterprise data management, became a public company once again this week when it executed an initial public offering (IPO) of stock on the New York Stock Exchange. The company, which 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…
Matillion Raises $150M in Quest to Turn Raw Data Ore Into Informational Steel
ETL vendor Matillion is riding high today after unveiling another nine-digit round of funding, this one a $150 million Series E round to go along with the $100 million Series D round earlier this year. Flush with capital 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…
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…
How Cloud-Native ELT Helps Data Teams Thrive in the Lakehouse
Sponsored Content by Matillion
An interesting thing has happened with the rise of cloud data platforms. While our data warehouses and data lakes modernized and moved to the cloud, most ETL platforms did not. Traditional ETL solutions have capabilit Read more…
Databricks Unveils Data Sharing, ETL, and Governance Solutions
Databricks’ primary objective is to build the world’s first enterprise AI platform, which is a noble goal and a work in process. But first things being first, the data is a mess, and it needs some work. To that end, 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…
8 Key Considerations for Embarking on a Data Integrity Journey
Modern enterprises are reliant on data, and as the volume of it increases, making that data useful is absolutely critical. However, more data also means the likelihood of incomplete, inconsistent data sets is on the rise Read more…
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