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Build an analytics pipeline that is resilient to Avro schema changes using Amazon Athena

AWS Big Data

As technology progresses, the Internet of Things (IoT) expands to encompass more and more things. As a result, organizations collect vast amounts of data from diverse sensor devices monitoring everything from industrial equipment to smart buildings.

IoT
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Compaction support for Avro and ORC file formats in Apache Iceberg tables in Amazon S3

AWS Big Data

Amazon S3 stores exabytes of Parquet data, and averages over 15 million requests per second to this data. While S3 Tables initially supported Parquet file type, as discussed in the S3 Tables AWS News Blog , the Iceberg specification extends to Avro, and ORC file formats for managing large analytic tables.

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Accelerate queries on Apache Iceberg tables through AWS Glue auto compaction

AWS Big Data

Data lakes were originally designed to store large volumes of raw, unstructured, or semi-structured data at a low cost, primarily serving big data and analytics use cases. This comparison will help guide you in making informed decisions on enhancing your data lake environments.

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Amazon OpenSearch Service 101: Create your first search application with OpenSearch

AWS Big Data

Organizations today face the challenge of managing and deriving insights from an ever-expanding universe of data in real time. Industrial Internet of Things (IoT) sensors stream millions of temperature, pressure, and performance metrics from field equipment every second. Ready to learn more?

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Near real-time baggage operational insights for airlines using Amazon Kinesis Data Streams

AWS Big Data

Traditional baggage analytics systems often struggle with adaptability, real-time insights, data integrity, operational costs, and security, limiting their effectiveness in dynamic environments. Partner Solutions Architect at AWS. In his spare time, Subhash likes to spend time with family and friends, hike, walk on beach, and watch TV.

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Data Science Blogs-R-Us

Rocket-Powered Data Science

There are some older blogs that I will be including in the list below as I remember them and find them. In 2019, I was listed as the #1 Top Data Science Blogger to Follow on Twitter. And then there’s this — not a blog, but a link to my 2013 TedX talk: “ Big Data, Small World.”

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.