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10 Big Data Examples Showing The Great Value of Smart Analytics In Real Life At Restaurants, Bars, and Casinos

datapine

“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran. When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. However, the usage of data analytics isn’t limited to only these fields.

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DataKitchen’s 2020 Honors & Awards

DataKitchen

We also want to thank all of the data industry groups that have recognized our DataKitchen DataOps Platform and Transformation Advisory Services throughout the year. DBTA’s 100 Companies That Matter Most in Data. CRN’s The 10 Hottest Data Science & Machine Learning Startups of 2020 (So Far).

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Revolutionizing budgeting and planning processes for a retail giant

IBM Big Data Hub

In 2013, Landmark Retail’s financial planning and analysis team faced challenges as they managed financial processes across more than 1200 stores. Their business model was very complex, and it required massive data volumes to be processed. Because of this, the budgeting process was inefficient.

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Overcoming Common Challenges in Natural Language Processing

Sisense

In Talking Data , we delve into the rapidly evolving worlds of Natural Language Processing and Generation. Text data is proliferating at a staggering rate, and only advanced coding languages like Python and R will be able to pull insights out of these datasets at scale. Today, text data is everywhere. can’t” becomes “can not”).

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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.