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Supercharge Your Data Lakehouse with Apache Iceberg in Cloudera Data Platform

Cloudera

These tools empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and analytic engines. No more lock-in, unnecessary data transformations, or data movement across tools and clouds just to extract insights out of the data.

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Data platform trinity: Competitive or complementary?

IBM Big Data Hub

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. This article endeavors to alleviate those confusions.

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Self-Serve Data Prep CAN Be Easy AND Sophisticated!

Smarten

Gartner predicts that, ‘data preparation will become a critical capability in more than 60% of data integration, analytics/BI, data science, data engineering and data lake enablement platforms.’ In this article, we look at the features and capabilities of a comprehensive self-serve data prep solution.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

In this article, we want to dig deeper into the fundamentals of machine learning as an engineering discipline and outline answers to key questions: Why does ML need special treatment in the first place? ML use cases rarely dictate the master data management solution, so the ML stack needs to integrate with existing data warehouses.

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Exploring the AI and data capabilities of watsonx

IBM Big Data Hub

Capabilities within the Prompt Lab include: Summarize: Transform text with domain-specific content into personalized overviews and capture key points (e.g., Streamline data engineering: Reduce data pipelines, simplify data transformation, and enrich data for consumption using SQL, Python, or an AI infused conversational interface.

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Turning the page

Cloudera

And, the Enterprise Data Cloud category we invented is also growing. In fact, recent articles by Patrick Moorhead , Mike Feibus , and many others represent a clear trend toward integrated data platforms. Said simply, Datacoral offers a fully-managed service for worry-free data integrations.

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!