DagsHub

DECEMBER 11, 2023

A complete overview revealing a diverse range of strengths and weaknesses for each data versioning tool. LakeFS Most big data storage solutions such as Azure, Google cloud storage, and Amazon S3 have good performance, cost-effective, and have good connectivity with other tooling. Git LFS requires a LFS server to work.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Data Science 98

Precisely

JANUARY 19, 2023

In 2023 and beyond, we expect the open source trend to continue, with steady growth in the adoption of tools like Feilong, Tessla, Consolez, and Zowe. Platforms like Hadoop and Spark prompted many companies to begin thinking about big data differently than they had in the past.

AWS 52

AWS Cloud Computing Data Pipeline Big Data 52

ODSC - Open Data Science

APRIL 3, 2023

Companies have plenty of data at their disposal and are looking for people who can make sense of it and make deductions quickly and efficiently. We looked at over 25,000 job descriptions, and these are the data analytics platforms, tools, and skills that employers are looking for in 2023.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

ODSC - Open Data Science

JULY 14, 2023

Below you’ll find just a few of the many expert-led sessions at ODSC Europe 2023 that attendees loved — and you can view them for yourself here ! And don’t miss the chance to join us for our upcoming free virtual Generative AI Summit on July 20th and ODSC West 2023 in San Francisco (October 31st-November 3rd). What’s next?

Machine Learning 52

Machine Learning Machine Learning Apache Kafka Data Science 52

ODSC - Open Data Science

JULY 27, 2023

Choosing a Data Lake Format: What to Actually Look For The differences between many data lake products today might not matter as much as you think. When choosing a data lake, here’s something else to consider. Get Pumped For ODSC West 2023 With Highlights from Last Year!

Data Lakes 52

Data Lakes SQL AI AI 52

phData

SEPTEMBER 20, 2023

This blog was originally written by Keith Smith and updated for 2023 by Nick Goble & Dominick Rocco. You’ve probably heard of the Snowflake Data Cloud , but did you know that Snowflake also offers a revolutionary set of libraries and runtimes called Snowpark? This can be a major optimization.

SQL 98

SQL Python Data Lakes Machine Learning 98

Towards AI

FEBRUARY 21, 2023

Last Updated on February 22, 2023 by Editorial Team Author(s): Hrvoje Smolic Originally published on Towards AI. To make this easier, businesses must create an organized data storage and retrieval system. Storage tools like data warehouses and data lakes will help efficiently store the data, streamlining both retrieval and analysis.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence AI AI 98

AWS Machine Learning Blog

AUGUST 2, 2024

He has more than 8 years of experience with big data and machine learning projects in financial, retail, energy, and chemical industries. Since 2023, he has also been working on scaling the use of generative AI in all departments.

AWS 128

AWS Machine Learning Machine Learning Database 128

AWS Machine Learning Blog

APRIL 30, 2025

For more details, you can watch Booking.coms keynote at AWS re:Invent 2023, their presentation on generative AI from idea to production on AWS at AWS London Summit 2024 , and read the case study on how Booking.com helps customers experience a new world of travel using AWS and generative AI.

AWS 69

AWS AI AI Machine Learning 69

AWS Machine Learning Blog

APRIL 18, 2023

With the recently launched Amazon Monitron Kinesis data export v2 feature , your OT team can stream incoming measurement data and inference results from Amazon Monitron via Amazon Kinesis to AWS Simple Storage Service (Amazon S3) to build an Internet of Things (IoT) data lake. For Data stream capacity , choose On-demand.

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AWS ML ML Database 94

Pickl AI

NOVEMBER 4, 2024

Introduction Data Engineering is the backbone of the data-driven world, transforming raw data into actionable insights. As organisations increasingly rely on data to drive decision-making, understanding the fundamentals of Data Engineering becomes essential. billion in 2023 and is projected to reach USD 55.96

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

IBM Journey to AI blog

MARCH 14, 2024

  Redefining cloud database innovation: IBM and AWS In late 2023, IBM and AWS jointly announced the general availability of Amazon relational database service (RDS) for Db2. This service streamlines data management for AI workloads across hybrid cloud environments and facilitates the scaling of Db2 databases on AWS with minimal effort.

AWS 93

AWS Database ETL AI 93

Flipboard

DECEMBER 4, 2024

The use of separate data warehouses and lakes has created data silos, leading to problems such as lack of interoperability, duplicate governance efforts, complex architectures, and slower time to value. You can use Amazon SageMaker Lakehouse to achieve unified access to data in both data warehouses and data lakes.

Data Lakes 139

Data Lakes Data Warehouse AWS Database 139

Data Science Blog

MARCH 14, 2023

Big Data tauchte als Buzzword meiner Recherche nach erstmals um das Jahr 2011 relevant in den Medien auf. Big Data wurde zum Business-Sprech der darauffolgenden Jahre. In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

AWS Machine Learning Blog

AUGUST 13, 2024

See the following code (API Call): def get_response_from_claude3(context, prompt_data): body = json.dumps({ "anthropic_version": "bedrock-2023-05-31", "max_tokens": 4096, "system":"""You are an expert form analyzer and can understand different sections and subsections within a form and can find all the questions being asked.

AWS 132

AWS Data Lakes Machine Learning Machine Learning 132