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Setting The Stage For The Next Chapter Of The Cassandra Database

Data Engineering Podcast

Summary The Cassandra database is one of the first open source options for globally scalable storage systems. Since its introduction in 2008 it has been powering systems at every scale. Cassandra is primarily used as a system of record. Since its introduction in 2008 it has been powering systems at every scale.

Database 100
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Why Open Table Format Architecture is Essential for Modern Data Systems

phData: Data Engineering

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Though basic and easy to use, traditional table storage formats struggle to keep up. Track data files within the table along with their column statistics.

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96 Percent of Businesses Can’t Be Wrong: How Hybrid Cloud Came to Dominate the Data Sector

Cloudera

Virtual machines came to be, and this meant that several (virtual) environments with their own operating systems could run in one physical computer. . In 2008, Cloudera was born. The Hadoop framework was developed for storing and processing huge datasets, with an initial goal to index the WWW.

Cloud 87
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What is CIA Triad in Cyber Security and Why it is Important?

Knowledge Hut

The CIA Triad is a common prototype that constructs the basis for the development of security systems. Contrariwise, an adequate system also assures that those who need to have access should have the required privileges. Fairly simply, availability indicates that networks, systems, and applications are up and operating.

IT 98
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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

From analysts to Big Data Engineers, everyone in the field of data science has been discussing data engineering. When constructing a data engineering project, you should prioritize the following areas: Multiple sources of data (APIs, websites, CSVs, JSON, etc.)

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Cloudera + Hortonworks, from the Edge to AI

Cloudera

Google built an innovative scale-out platform for data storage and analysis in the late 1990s and early 2000s, and published research papers about their work. The two of them started the Hadoop project to build an open-source implementation of Google’s system. Yahoo quickly recognized the promise of the project.

Hadoop 75
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Big Data Timeline- Series of Big Data Evolution

ProjectPro

The largest item on Claude Shannon’s list of items was the Library of Congress that measured 100 trillion bits of data. 1960 - Data warehousing became cheaper. 1996 - Digital data storage became cost effective than paper - according to R.J.T. 2008 -Google processed 20 petabytes of data in a single day.