article thumbnail

Netflix OSS and Spring Boot?—?Coming Full Circle

Netflix Tech

Much of Netflix’s backend and mid-tier applications are built using Java, and as part of this effort Netflix engineering built several cloud infrastructure libraries and systems?—? All of these Netflix libraries and systems were open-sourced around 2012 and are still used by the community to this day.

Java 111
article thumbnail

Databricks, Snowflake and the future

Christophe Blefari

Snowflake was founded in 2012 around its data warehouse product, which is still its core offering, and Databricks was founded in 2013 from academia with Spark co-creator researchers, becoming Apache Spark in 2014. you could write the same pipeline in Java, in Scala, in Python, in SQL, etc.—with Here we go again.

Metadata 147
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

5 Reasons why Java professionals should learn Hadoop

ProjectPro

Java developers have increased probability to get a strong salary hike when they shift to big data job roles. If you are a java developer, you might have already heard about the excitement revolving around big data hadoop. There are 132 Hadoop Java developer jobs currently open in London, as per cwjobs.co.uk

Java 52
article thumbnail

Intersection and Union types with Java and Scala by Magnus Smith

Scott Logic

Previous posts have looked at Algebraic Data Types with Java Variance, Phantom and Existential types in Java and Scala Intersection and Union Types with Java and Scala One of the difficult things for modern programming languages to get right is around providing flexibility when it comes to expressing complex relationships.

Scala 40
article thumbnail

Fundamentals of Apache Spark

Knowledge Hut

Spark (and its RDD) was developed(earliest version as it’s seen today), in 2012, in response to limitations in the MapReduce cluster computing paradigm. The core is the distributed execution engine and the Java, Scala, and Python APIs offer a platform for distributed ETL application development.

Hadoop 98
article thumbnail

The Importance of Distributed Tracing for Apache-Kafka-Based Applications

Confluent

It was open sourced by Twitter in 2012, and now it is in the process of becoming an Apache Software Foundation project. Zipkin provides a Java tracer library called OpenZipkin Brave, which includes built-in instrumentation for applications that use the Kafka consumer, producer or Streams APIs.

Kafka 111
article thumbnail

Spark vs Hive - What's the Difference

ProjectPro

Highly flexible and scalable Real-time stream processing Spark Stream – Extension of Spark enables live-stream from massive data volumes from different web sources. It instead relies on other systems, such as Amazon S3, etc.

Hadoop 52