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Data News — Week 23.19

Christophe Blefari

Google I/O Keynote takeaways What amazed me from the Google Keynote is the fact that Generative AI is treated like a product, like the 2007 iPhone—look at this ad. The StarCoder ( credits ) Fast News ⚡️ Zero ELT could be the death of the modern data stack — Amazon launched this trend a few months ago.

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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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Top Companies for Software Engineers 2023

Knowledge Hut

They also have a cloud storage service. NetApp NetApp is a data storage and management company that provides software, systems, and services to help customers manage their data. It was founded in 2007 by Sachin Bansal and Binny Bansal. Adobe is a well-known and respected company in the tech industry.

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Top 8 Data Engineering Books [Beginners to Advanced]

Knowledge Hut

Key Benefits and Takeaways: Understand data intake strategies and data transformation procedures by learning data engineering principles with Python. Investigate alternative data storage solutions, such as databases and data lakes. Author Name: Vincent Rainardi Year of Release: 2007 Goodreads Rating: 3.89/5

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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

Kafka is a commit- log/message-processing implementation that stresses data storage and retrieval more, with scalability and data redundancy. It implements an intelligent client/subscriber policy where the consumer is solely responsible for requesting and retrieving data from the broker. What is Kafka?

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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.