Remove 2013 Remove Project Remove Unstructured Data
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Unstructured Data: Examples, Tools, Techniques, and Best Practices

AltexSoft

A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. To illustrate the sheer volume of unstructured data, we’ll take the 10th annual “Data Never Sleeps” infograp hic , showing how much data is being created each minute on the Internet.

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Why Open Table Format Architecture is Essential for Modern Data Systems

phData: Data Engineering

Evolution of Open Table Formats Here’s a timeline that outlines the key moments in the evolution of open table formats: 2008 - Apache Hive and Hive Table Format Facebook introduced Apache Hive as one of the first table formats as part of its data warehousing infrastructure, built on top of Hadoop.

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Big Data Timeline- Series of Big Data Evolution

ProjectPro

Here’s a look at important milestones, tracking the evolutionary progress on how data has been collected, stored, managed and analysed- 1926 – Nikola Tesla predicted that humans will be able to access and analyse huge amounts of data in the future by using a pocket friendly device. 1937 - Franklin D. Truskowski.

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5 Reasons Why ETL Professionals Should Learn Hadoop

ProjectPro

While the initial era of ETL ignited enough sparks and got everyone to sit up, take notice and applaud its capabilities, its usability in the era of Big Data is increasingly coming under the scanner as the CIOs start taking note of its limitations.

Hadoop 52
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Major Benefits of Power BI you Should Know in 2024

Knowledge Hut

Power BI, originally called Project Crescent, was launched in July 2011, bundled with SQL Server. Later, it was renamed Power BI and presented as Power BI for Office 365 in September 2013.

BI 98
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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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Hadoop- The Next Big Thing in India

ProjectPro

The prospective growth for big data in India is because of-increasing number of companies trying to get meaningful insights out from the massive data growth in their businesses. However, the outsourcing industry in India saw a significant increase of 20% growth.

Hadoop 52