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Top Companies for Software Engineers 2023

Knowledge Hut

The company also creates database development tools and middle-tier software systems, as well as enterprise resource planning (ERP) software, customer relationship management (CRM) software, and supply chain management (SCM) software. They also have a cloud storage service. It was founded in 2007 by Sachin Bansal and Binny Bansal.

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Top 8 Data Engineering Books [Beginners to Advanced]

Knowledge Hut

This article suggests the top eight data engineer books ranging from beginner-friendly manuals to in-depth technical references. What is Data Engineering? It refers to a series of operations to convert raw data into a format suitable for analysis, reporting, and machine learning which you can learn from data engineer books.

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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.

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RocksDB Is Eating the Database World

Rockset

While traditional RDBMS databases served well the data storage and data processing needs of the enterprise world from their commercial inception in the late 1970s until the dotcom era, the large amounts of data processed by the new applications—and the speed at which this data needs to be processed—required a new approach.

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Snowflake and the Pursuit Of Precision Medicine

Snowflake

Next-generation sequencing (NGS) technology has dramatically dropped the price of genomic sequencing, from about $1 million in 2007 to $600 today per whole genome sequencing (WGS). Snowflake has a role to play in accelerating the creation of FAIRified data products, namely, data storage, data processing, collaboration and productization.

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Hands-On Introduction to Delta Lake with (py)Spark

Towards Data Science

Concepts, theory, and functionalities of this modern data storage framework Photo by Nick Fewings on Unsplash Introduction I think it’s now perfectly clear to everybody the value data can have. To use a hyped example, models like ChatGPT could only be built on a huge mountain of data, produced and collected over years.

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Kafka vs RabbitMQ - A Head-to-Head Comparison for 2023

ProjectPro

As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Apache Kafka and RabbitMQ are messaging systems used in distributed computing to handle big data streams– read, write, processing, etc.

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