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Brief History of Data Engineering

Jesse Anderson

Google looked over the expanse of the growing internet and realized they’d need scalable systems. With an immutable file system like HDFS, we needed scalable databases to read and write data randomly. Apache HBase came in 2007, and Apache Cassandra came in 2008. We lacked a scalable pub/sub system.

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Netflix OSS and Spring Boot?—?Coming Full Circle

Netflix Tech

Coming Full Circle Taylor Wicksell, Tom Cellucci, Howard Yuan, Asi Bross, Noel Yap, and David Liu In 2007, Netflix started on a long road towards fully operating in the cloud. All of these Netflix libraries and systems were open-sourced around 2012 and are still used by the community to this day.

Java 111
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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). They are well delineated in the table below: Figure 3: Conceptual end-to-end system for enabling precision medicine with Snowflake.

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Evolution of the Cloud Data Platform: From Google to Ascend

Ascend.io

In 2007, I co-founded a company predicated on the idea that highly personalized signals would revolutionize the TV industry as we moved from “broadcast to broadband,” shifting from a one-to-many to a one-to-one model of engagement — it’s truly amazing how far things have come.

Cloud 52
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Evolution of the Cloud Data Platform: From Google to Ascend

Ascend.io

In 2007, I co-founded a company predicated on the idea that highly personalized signals would revolutionize the TV industry as we moved from “broadcast to broadband,” shifting from a one-to-many to a one-to-one model of engagement — it’s truly amazing how far things have come.

Cloud 52
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Scaling Media Machine Learning at Netflix

Netflix Tech

This feature store is equipped with a data replication system that enables copying data to different storage solutions depending on the required access patterns. Training Performance Media model training poses multiple system challenges in storage, network, and GPUs.

Media 117
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20 Best Automation Tools for DevOps in 2023

Knowledge Hut

DevOps automation tools make it simpler by introducing a new flow throughout SDLC and addressing essential perspectives of your DevOps by automating the entire system chain with Create, Check, Publish, and Release capabilities. While using Puppet, specify the ideal condition for the infrastructure systems you wish to manage.

Java 52