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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Emerging Trends in Big Data Analysis for 2025

ProjectPro

Big data breaches have been quite common in US, every week there is some announcement in media from the US government or the businesses directly that they have been impacted by big data breach. Deep learning involves ingesting big data to neural networks to receive predictions in response. billionby 2020, recording a CAGR of 35.1%

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Top 6 Big Data and Business Analytics Companies to Work For in 2025

ProjectPro

Several big data companies are looking to tame the zettabyte’s of BIG big data with analytics solutions that will help their customers turn it all in meaningful insights. They give you the pen to write and project your own path. Employee’s passions is company’s passion.

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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.

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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.

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