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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Improve Business Agility by Hiring a DataOps Engineer

DataKitchen

Data-driven companies sense change through data analytics. Analytics tell the story of markets and customers. Analytics enable companies to understand their environment. Companies turn to their data organization to provide the analytics that stimulates creative problem-solving.

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Why the Data Journey Manifesto?

DataKitchen

We had been talking about “Agile Analytic Operations,” “DevOps for Data Teams,” and “Lean Manufacturing For Data,” but the concept was hard to get across and communicate. I spent much time de-categorizing DataOps: we are not discussing ETL, Data Lake, or Data Science.

Testing 130
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Deploy and Optimize Your Snowflake Environment Faster With Accelerators

CDW Research Hub

Snowflake enables a wide variety of workloads and applications on any cloud, including data warehouses, data lakes, data pipelines and data sharing, as well as business intelligence, data science and data analytics applications. Overall data architecture and strategy. Workload discovery.

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2023 Predictions: Data Trends That Will Dominate Business Agenda in APAC

Cloudera

Recent years have seen organizations generating unprecedented volumes of data as a by-product of their digitalization activities and increasing digital customer touch points. This is especially so in industries like telecom, retail, healthcare, manufacturing, insurance, and financial services.

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Deciphering the Pros & Cons of Real-Time Data Streaming

Smart Data Collective

The data architecture assimilates and processes sizable volumes of streaming data from different data sources. This very architecture ingests data right away while it is getting generated. Data streaming in real-time enables an organization to act in the moment, which eventually enables it to prosper.

IoT 108
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Celebrating World Oceans Day: Revitalizing the marine ecosystem with technology-driven engineered reefs to accelerate CO2 capture

IBM Big Data Hub

Together with IBM’s support, the aim is leveraging data from the ocean and technology, and taking the project to the next level. The Reef Company designs reef modules, which are engineered with low-carbon impact materials and are manufactured locally.