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Extract data from SAP ERP using AWS Glue and the SAP SDK

AWS Big Data

In this post, we share how we extracted data from SAP ERP using AWS Glue and the SAP SDK. This is a guest post by Siva Manickam and Prahalathan M from Vyaire Medical Inc. Vyaire Medical Inc. is a global company, headquartered in suburban Chicago, focused exclusively on supporting breathing through every stage of life.

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Create an Apache Hudi-based near-real-time transactional data lake using AWS DMS, Amazon Kinesis, AWS Glue streaming ETL, and data visualization using Amazon QuickSight

AWS Big Data

This post demonstrates how to apply CDC changes from Amazon Relational Database Service (Amazon RDS) or other relational databases to an S3 data lake, with flexibility to denormalize, transform, and enrich the data in near-real time. Data analytics on operational data at near-real time is becoming a common need.

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How to Build a Flexible Developer Documentation Portal

Sisense

If you haven’t read how we overhauled our developer portal recently, check out our prior conversation with Moti Granovsky, Sisense’s Head of Developer Relations. Let’s kick off our journey into the rebuild by understanding what our requirements were and how we went about meeting them. Building instead of buying.

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NVIDIA RAPIDS in Cloudera Machine Learning

Cloudera

For more information see: < [link] > The RAPIDS libraries are designed as drop-in replacements for common Python data science libraries like pandas (cuDF), numpy (cuPy), sklearn (cuML) and dask (dask_cuda). In this tutorial, we will illustrate how RAPIDS can be used to tackle the Kaggle Home Credit Default Risk challenge.

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­­Use fuzzy string matching to approximate duplicate records in Amazon Redshift

AWS Big Data

Answering questions as simple as “How many unique customers do we have?” We import an open-source fuzzy matching Python library to Amazon Redshift, create a simple fuzzy matching user-defined function (UDF), and then create a procedure that weights multiple columns in a table to find matches based on user input. An S3 bucket.

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Migrate from Amazon Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics Studio

AWS Big Data

We also show how to use Kinesis Data Analytics Studio to test and tune your analysis before deploying your migrated applications. We also show how to use Kinesis Data Analytics Studio to test and tune your analysis before deploying your migrated applications.

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Build data integration jobs with AI companion on AWS Glue Studio notebook powered by Amazon CodeWhisperer

AWS Big Data

AWS also announced the Amazon CodeWhisperer Jupyter extension to help Jupyter users by generating real-time, single-line, or full-function code suggestions for Python notebooks on Jupyter Lab and Amazon SageMaker Studio. Data is essential for businesses to make informed decisions, improve operations, and innovate.