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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. Over time this has become the preferred way for the community to adopt Netflix’s Open Source software.

Java 111
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Brief History of Data Engineering

Jesse Anderson

Apache HBase came in 2007, and Apache Cassandra came in 2008. At various times it’s been Java, Scala, and Python. Apache Pig in 2008 came too, but it didn’t ever see as much adoption. With an immutable file system like HDFS, we needed scalable databases to read and write data randomly. Now people are excited about Rust.

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Scaling Media Machine Learning at Netflix

Netflix Tech

These include, but are not limited to, Conductor , Dagobah , Metaflow , Titus , Iceberg , Trino, Cassandra, Elastic Search, Spark, Ray, MezzFS , S3, Baggins , FSx , and Java/Scala-based applications with Spring Boot. As the catalog grew and users adopted streaming, so did the opportunities for creating and improving our recommendations.

Media 119
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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). Its implementation has primarily been hastened by reducing sequencing costs.

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

ProjectPro

Kafka vs. RabbitMQ -Source language Kafka, written in Java and Scala, was first released in 2011 and is an open-source technology, while RabbitMQ was built in Erlang in 2007 Kafka vs. RabbitMQ - Push/Pull - Smart/Dumb Kafka employs a pull mechanism where clients/consumers can pull data from the broker in batches. Spring, Swift.

Kafka 52