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Tag: Apache Spark

20 Technologies in Data Science for Professionals

Introduction As internet usage grows, companies leverage data for innovation and competitive advantage. With 66.2% of the global population connected to the internet as of...

Preprocess and fine-tune LLMs quickly and cost-effectively using Amazon EMR Serverless and Amazon SageMaker | Amazon Web Services

Large language models (LLMs) are becoming increasing popular, with new use cases constantly being explored. In general, you can build applications powered by LLMs...

Mastering market dynamics: Transforming transaction cost analytics with ultra-precise Tick History – PCAP and Amazon Athena for Apache Spark | Amazon Web Services

This post is cowritten with Pramod Nayak, LakshmiKanth Mannem and Vivek Aggarwal from the Low Latency Group of LSEG. ...

The Only Free Course You Need To Become a Professional Data Engineer – KDnuggets

Image by Author  There are many courses and resources available on machine learning and data science, but very few on data engineering. This raises...

Use Amazon Athena with Spark SQL for your open-source transactional table formats | Amazon Web Services

AWS-powered data lakes, supported by the unmatched availability of Amazon Simple Storage Service (Amazon S3), can handle the scale, agility, and flexibility required to...

Enforce fine-grained access control on Open Table Formats via Amazon EMR integrated with AWS Lake Formation | Amazon Web Services

With Amazon EMR 6.15, we launched AWS Lake Formation based fine-grained access controls (FGAC) on Open Table Formats (OTFs), including Apache Hudi, Apache Iceberg,...

Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1 | Amazon Web Services

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. Today, everyone expects a personalized experience in any...

Modernize your ETL platform with AWS Glue Studio: A case study from BMS | Amazon Web Services

This post is co-written with Ramesh Daddala, Jitendra Kumar Dash and Pavan Kumar Bijja from Bristol Myers Squibb. ...

Machine Learning Engineer vs. Data Scientist – DATAVERSITY

After years of hype and promise, artificial intelligence (AI) has finally arrived. Organizations of all types and sizes are racing to integrate AI into...

Top 26 Data Science Tools for Data Scientists in 2024

Introduction The field of data science is evolving rapidly, and staying ahead of the curve requires leveraging the latest and most powerful tools available. In...

Top Programming Languages Employed By The Banks Today And 10 Years Ago

Welcome to the dynamic world of finance, where every tick of the clock and precision in operations matter. In this ever-evolving landscape, programming languages...

Announcing zero-ETL integrations with AWS Databases and Amazon Redshift | Amazon Web Services

As customers become more data driven and use data as a source of competitive advantage, they want to easily run analytics on their data...

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