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Speed up queries with the cost-based optimizer in Amazon Athena

AWS Big Data

In our testing, the dataset was stored in Amazon S3 in non-compressed Parquet format and the AWS Glue Data Catalog was used to store metadata for databases and tables. Testing on the TPC-DS benchmark showed an 11% improvement in overall query performance when using CBO compared to without it. Pathik Shah is a Sr.

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Enhancing triparty repo transactions with IBM MQ for efficiency, security and scalability

IBM Big Data Hub

Test and validate messages regularly to ensure that they are formatted correctly and that the information is accurate. CCIL) is a central counterparty (CCP) that was set up in April 2001 to provide clearing and settlement for transactions in government securities, foreign exchange and money markets in the country.

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Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg

AWS Big Data

Lake Formation helps you centrally manage, secure, and globally share data for analytics and machine learning. For the --dropzone_path parameter , change the S3 location to icebergdemo1-s3bucketdropzone-kunftrcblhsk/data/merge2. Run the job again to add orders 2001 and 2002, and update orders 1001, 1002, and 1003.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

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Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

Prerequisites This post requires you to set up the Amazon Kinesis Data Generator (KDG) to send data to a Kinesis data stream using an AWS CloudFormation template. For the template and setup information, refer to Test Your Streaming Data Solution with the New Amazon Kinesis Data Generator.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). We keep feeding the monster data. the flywheel effect.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Consider the following timeline: 2001 – Physics grad students are getting hired in quantity by hedge funds to work on Wall St. to join data science teams, e.g., to support advertising, social networks, gaming, and so on—I hired more than a few. 2018 – Global reckoning about data governance, aka “Oops! No big deal.”.