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Tag: data warehouse

The Data Lakehouse Is On the Horizon, But It’s Not Smooth Sailing Yet

Data warehouses and data lakes serve clear and distinct purposes. Typically, data warehouses store structured data according to a predefined schema to generate fast query speeds for reporting purposes.  Data lakes, on t Read more…

How Acceldata Helped T-Mobile’s Data Modernization Strategy

When T-Mobile started migrating some of its data estate from an on-prem Hadoop system to cloud-based data platforms, it found the move liberating. But as it settled into a hybrid-cloud world, T-Mobile realized costs were Read more…

It’s Back to the Database Future for Exasol CEO Tewes

When Joerg Tewes last worked in the database business, the world was just becoming aware of the possibilities of non-relational data models. Fast forward 20 years, and NoSQL databases are commonplace across all industrie Read more…

There Are Many Paths to the Data Lakehouse. Choose Wisely

You don’t need a crystal ball to see that the data lakehouse is the future. At some point soon, it will be the default way of interacting with data, combining scale with cost-effectiveness. Also easy to predict is t Read more…

Tabular Plows Ahead with Iceberg Data Service, $26M Round

Apache Iceberg appears to have the inside track to become the defacto standard for big data table formats at this point. And with today’s $26 million round, the company behind the open source project, Tabular, is bette Read more…

Databricks Versus Snowflake: Comparing Data Giants

Databricks and Snowflake have emerged as predominant providers of big data analytics platforms in the cloud. While there are some similarities between the two rivals, there are also important differences in their offerin Read more…

A Truce in the Cloud Data Lake Vs. Data Warehouse War?

At the 2nd Annual Semantic Layer Summit, which took place April 26, AtScale founder and CTO Dave Mariani sat down with Bill Inmon, recognized by many as the father of the data warehouse, to discuss the evolution of moder Read more…

Exasol Eyes Second Half of 2023 for Two Big Developments

In-memory analytics database developer Exasol has quietly made a name for itself among data warehouse users that need massive concurrency and sub-second response times for their SQL analytics operations. Now the German c Read more…

Teradata Taps Cloudian for On-Prem Lakehouse

Teradata has reinvented itself as a cloud-first data warehouse provider with its Vantage offering. But some customers don’t want to run analytic workloads in the cloud, which is why the data warehousing giant this week Read more…

How Providence Overcame Security Obstacles to Unlock Medical Data in the Cloud

Healthcare is one of the most data-rich industries, but thanks to strict privacy and security laws, data scientists haven’t been able to do much with it. But now, thanks to the confluence of a strong security setup in Read more…

Teradata Unveils New Data Lake, Advanced Analytics Offerings

Teradata today rolled out a pair of new products designed to broaden its appeal to a new generation of users, including a new data lake called VantageCloud Lake that melds the workload management capabilities of its epon Read more…

Cloud Migrations Negatively Impacting Data Estates, Capital One Says

We’re in the midst of a massive migration of data to the cloud at the moment, driven in large part by the promises of advanced analytics and AI and the competitive advantages they can bring. However, before getting thi Read more…

The Key Tech Enabling Cloudera’s New Lakehouse

Cloudera today debuted CDP One, its new software-as-a-service (SaaS) lakehouse offering. For the first time, Cloudera is taking over management of its data platform on behalf of its customers. It’s also Cloudera’s fi Read more…

Databricks Claims 30x Advantage in the Lakehouse, But Does It Hold Water?

Databricks CEO Ali Ghodsi turned some heads last week with a bold claim: Customers can get 30x price-performance advantage over Snowflake when running SQL queries in a lakehouse setup. However, Snowflake waved off the st 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…

Five Ways Big Data Projects Can Go Wrong (And What You Can Do About Them)

So your big data project isn’t panning out the way you wanted? You’re not alone. The poor success rate of big data projects has been a persistent theme over the past 10 years, and the same types of struggles are show Read more…

Google Cloud Opens Door to the Lakehouse with BigLake

Google Cloud made its way into the lakehouse arena today with the launch of Big Lake, a new storage engine that melds the governance of its data warehousing offering, BigQuery, with the flexibility of open data formats a Read more…

Lakehouse Update a Warehouse Killer, Dremio Says

Dremio co-founder and Chief Product Officer Tomer Shiran says the data lakehouse architecture updates it announced today at the start of its Subsurface Winter Live conference--including a 60% faster query engine, a new d Read more…

Teradata Puts New Cloud Architecture to the 1,000-Node Test

Teradata says the recent 1,000-node test that it ran on AWS not only shows the scale that its new cloud architecture can achieve, but also demonstrates the analytic flexibility required by its new target market, the Glob Read more…

Databricks Releases Lakehouse for Financial Services

Databricks first launched its lakehouse architecture in 2017, combining elements of data warehouses, data lakes, and streaming data analytics in a move that has paid off—literally and figuratively—in ensuing years as Read more…

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