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Recap of Hadoop News for November 2017

ProjectPro

News on Hadoop - November 2017 IBM leads BigInsights for Hadoop out behind barn. Shots heard.theRegister.co.uk, November 8, 2017. IBM’s BigInsights for Hadoop sunset on December 6, 2017. IBM will not provide any further new instances for the basic plan of its data analytics platform. OpenPR.com, November 14, 2017.

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Recap of Hadoop News for May 2017

ProjectPro

News on Hadoop - May 2017 High-end backup kid Datos IO embraces relational, Hadoop data.theregister.co.uk , May 3 , 2017. Datos IO has extended its on-premise and public cloud data protection to RDBMS and Hadoop distributions. Source : [link] ) Cloudera IPO Highlights The Big Data And Hadoop Opportunity.

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Machine Learning Made Easy: Q&A with Snowflake Head of Artificial Intelligence and Machine Learning Strategy Ahmad Khan

Snowflake

AI unlocks new data use cases. With the ability to handle unstructured data types and larger volumes of data, AI gives us the tools to tackle more complex, exciting problems. The key paper that drove this moment came out in 2017 was titled Attention Is All You Need. Some takeaways?

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Top Big Data Companies you need to Know in 2024

Knowledge Hut

Importance of Big Data Companies Big Data is intricate and can be challenging to access and manage because data often arrives quickly in ever-increasing amounts. Both structured and unstructured data may be present in this data. As of May 2017, the total number of employees was 341,400.

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Why Data Capabilities Follow Up a Digital Transformation

Team Data Science

Since 2017, more than 1.5 They constitute the major vehicles in which customer digital footprints [ , 12 ] are collected in the form of structured and unstructured data [ , 13 ]. First, consider that smartphones function like questionnaires that customers are frequently filling out in a passive or active manner [ , 1 ].

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The Evolution of Table Formats

Monte Carlo

Depending on the quantity of data flowing through an organization’s pipeline — or the format the data typically takes — the right modern table format can help to make workflows more efficient, increase access, extend functionality, and even offer new opportunities to activate your unstructured data.

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Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

Monte Carlo

5 Data pipeline architecture designs and their evolution The Hadoop era , roughly 2011 to 2017, arguably ushered in big data processing capabilities to mainstream organizations. Data then, and even today for some organizations, was primarily hosted in on-premises databases with non-scalable storage.