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Navigating Data Access Management Strategies: Build Vs. Buy

In today's data-driven world, effectively managing access to a growing volume of cloud-based data is an ongoing challenge for most companies. With over 60% of all corporate data now stored in the cloud, it is a delicate 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…

Redis Delivers First Big Release Under New CEO Trollope

Redis today unleashed a torrent of new functionality in the database, including vector search, native triggers, and a built-in change data capture capability, among others. The features reflect priorities that new CEO Ro Read more…

Unravel Keeps Tabs on BigQuery Usage Following Pricing Changes

Google Cloud last month changed how it charges for BigQuery, its flagship offering for SQL analytics on structured data and machine learning on unstructured data. Customers concerned about keeping their BigQuery budget o Read more…

Lightup Seeks Data Quality Automation

One of the challenges in data observability is the effort required to develop all the data quality indicators (DQIs) enterprises need to monitor production databases. All too often, companies are left to write their own Read more…

Inside Pandata, the New Open-Source Analytics Stack Backed by Anaconda

Anaconda made some news yesterday when it announced support for Pandata, a new open-source stack. But just what is Pandata, and should it be on your big data radar? According to the Pandata GitHub page, Pandata is a c Read more…

Three Critical Factors to Consider When Preparing Data for Generative AI

Thanks in part to the excitement around breakthrough generative artificial intelligence (AI) tools like ChatGPT, industry analysts are projecting rapid growth of business investment in AI and machine learning (ML) techno Read more…

Why a Universal Semantic Layer is the Key to Unlock Value from Your Data

A semantic layer is a way to represent data so that it can be easily understood by business users, making it easier for them to interpret and use it directly, without a dependence on data engineering teams. Wikipedia def Read more…

The Business Case for Privacy Enhancing Technologies

In a world that’s constantly hyping the next big thing, it’s natural to be wary when a family of technologies is described as transformational. This label has been recently associated with Privacy Enhancing Technolog Read more…

Privacera Streamlines Data Access Control Decisions

To be data-driven, one needs access to data. That’s pretty obvious. But data also carries risk, which complicates the math. One vendor hoping to streamline the data access workflow and safely get more data into the han Read more…

Rockset Looks to Compute-Compute Isolation for Real-Time Advantage

The separation of compute and storage is a bedrock of big data architecture and has enabled nearly infinite scalability in cloud storage. Now a related concept called compute-compute isolation is being introduced to data Read more…

The Age of Data Productivity is Here

Black Swan events like extreme weather, financial crises, pandemics, or war used to be an anomaly. Today, these events occur at a surprisingly regular cadence, and such life-altering disruptions can induce extreme stress Read more…

Yes, Real-Time Streaming Data Is Still Growing

A funny thing happened while the tech world was focused almost exclusively on ChatGPT over the past eight months: Adoption of other cutting-edge technologies kept growing. One of those is real-time stream data processing Read more…

OpenAI Releases ChatGPT Code Interpreter, ‘Your Personal Data Analyst’

You can now run Python functions to analyze your own data in a ChatGPT session thanks to the new Code Interpreter that OpenAI is releasing as a beta to subscribers this week. ChatGPT Code Interpreter “lets ChatGPT r Read more…

DataRobot CEO Sees Success at Junction of Gen AI and ‘Classical AI’

What’s the next generation of enterprise AI going to look like? If you ask DataRobot CEO Debanjan Saha, enterprises will see the most business benefits by combining new generative AI tools and techniques with the class Read more…

What Is MosaicML, and Why Is Databricks Buying It For $1.3B?

Databricks shocked the big data world last week when it announced plans to acquire MosaicML for a cool $1.3 billion. With just $1 million in revenue at the end of 2022 and $20 million so far this year, some speculated th Read more…

Will Gen AI Help the Texas Rangers Win the World Series in ’23?

The Texas Rangers are one of six MLB teams that hasn’t won a World Series. If they win it all this year--and they are currently leading a surprisingly competitive AL West at the season’s midway point with one of the Read more…

Security Risks of Gen AI Raise Eyebrows

Unless you’ve been hiding under a rock the past eight months, you’ve undoubtedly heard how large language models (LLMs) and generative AI will change everything. Businesses are eagerly adopting things like ChatGPT to Read more…

Databricks Unleashes New Tools for Gen AI in the Lakehouse

Fresh off its announcement of the acquisition of MosaicML on Monday, Databricks today unleashed a torrent of new AI capabilities at its Data + AI Summit designed to enable its customers to create generative AI applicatio Read more…

Databricks Puts Unified Data Format on the Table with Delta Lake 3.0

Databricks today rolled out a new open table format in Delta Lake 3.0 that it says will eliminate the possibility of picking the wrong one. Dubbed Universal Format, or UniForm, the new table format can read and write dat Read more…

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