Introducing native support for Apache Hudi, Delta Lake, and Apache Iceberg on AWS Glue for Apache Spark, Part 2: AWS Glue Studio Visual Editor

In the first post of this series, we described how AWS Glue for Apache Spark works with Apache Hudi, Linux Foundation Delta Lake, and Apache Iceberg datasets tables using the native support of those data lake formats. This native support simplifies reading and writing your data for these data lake frameworks so you can more easily build and maintain your...
Multiple Vendors Make Data and Analytics Ubiquitous - The New Stack

In the last few weeks, there has been a glut of news from many of the major players, new and old, in the analytics space. Together, they point to some important trends in the industry as it wraps up its first quarter of the 2023 calendar year. As complicated as the analytics landscape can be, it’s starting to feel like...
Taking Another Stab At Massively Parallel Data Analytics - The Next Platform

For many years, and quite a long time ago in computer time, Hadoop was seen as the best way to store and analyze mountains of unstructured data. But then workloads and data began shifting to the biggest cloud builders, where Amazon Web Services, Microsoft Azure, and Google Cloud were waiting with their own technologies for doing what Hadoop could do...
Introducing PromptLang: A simple prompt-based programming language (PromptLang) designed for use inside GPT-4 prompts. The language exists only as a prompt inside a prompt. Would love some feedback.

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Klint: Compile-time Detection of Atomic Context Violations for Kernel Rust Code - Prossimo

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How to write software that will keep working for decades without problems

submitted by /u/KaeruCT [link] [comments]

Category: Big Data

pandas on spark apply_batch/transform_batch broken? (tl;dr; No – but it isn’t well documented)

pandas on spark apply_batch/transform_batch broken? (tl;dr; No – but it isn’t well documented)

Published by Arnon Rotem-Gal-Oz on October 16, 2022

Using pypark’s pandas integration via apply_batch and transform_batch is very powerful but lacking documentation can cause hard to trace bugs – hopefully my experience (below)…

Intro to Apache Spark (slides)

Published by Arnon Rotem-Gal-Oz on December 16, 2020

I gave a general overview of Apache Spark to our R&D teams. You can find the slides below

Where is Apache Spark heading?

Where is Apache Spark heading?

Published by Arnon Rotem-Gal-Oz on December 4, 2020

I watched (COVID19-era version of “attended”) the latest spark Summit and in one of the keynotes Reynold Xin from Databricks, presented the following two images…

Big data isn’t – well, almost

Big data isn’t – well, almost

Published by Arnon Rotem-Gal-Oz on March 23, 2019

Back in ancient history (2004) Google’s Jeff Dean & Sanjay Ghemawat presented their innovative idea for dealing with huge data sets – a novel idea…

Big data in the cloud – welcome to cost oriented design

Big data in the cloud – welcome to cost oriented design

Published by Arnon Rotem-Gal-Oz on April 1, 2016

A couple of weeks ago I presented @ BDX2016 The slides are available on Slideshare Big data in the cloud – welcome to cost oriented…