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Microsoft Azure: Benefits, Use Cases

Knowledge Hut

Microsoft Azure offers its services in around 140 countries and has been present in the cloud computing industry since October 2008. Thus, clients can integrate their Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP) systems with Azure and take their business operations to the next level.

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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 83
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Top Companies for Full Stack Developer [2023]

Knowledge Hut

Additionally, they should have extensive knowledge of server-side technologies, such as Apache and NGINX, and database systems, such as MySQL and MongoDB. This includes everything from the front-end design and user experience to the back-end data storage and security. It was founded in 2008 by Deepinder Goyal and Pankaj Chaddah.

Food 52
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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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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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Top 14 Big Data Analytics Tools in 2024

Knowledge Hut

APACHE Hadoop Big data is being processed and stored using this Java-based open-source platform, and data can be processed efficiently and in parallel thanks to the cluster system. Amazon, Microsoft, IBM, and other tech giants use it today as one of the best tools for big data analysis.

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Difference Between NumPy vs Pandas

U-Next

Did you know that Wes McKinney developed Python Pandas in 2008 and used it for Py data gathering? Python could prepare data before Pandas compiler but only offered a basic platform for data analytics. Pandas entered the scene and improved data analysis abilities.