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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.

Big Data 275
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Apache Iceberg optimization: Solving the small files problem in Amazon EMR

AWS Big Data

In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.

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

AWS Big Data

It can receive the events from an input Kinesis data stream and route the resulting stream to an output data stream. State snapshot in Amazon S3 – You can store the state snapshot in Amazon S3 for tracking. You can use Amazon EMR for streaming data processing to use your favorite open source big data frameworks.

Analytics 115
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Break data silos and stream your CDC data with Amazon Redshift streaming and Amazon MSK

AWS Big Data

Valid values for OP field are: c = create u = update d = delete r = read (applies to only snapshots) The following diagram illustrates the solution architecture: The solution workflow consists of the following steps: Amazon Aurora MySQL has a binary log (i.e., In this example, c indicates that the operation created a row.

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Join a streaming data source with CDC data for real-time serverless data analytics using AWS Glue, AWS DMS, and Amazon DynamoDB

AWS Big Data

Traditional batch ingestion and processing pipelines that involve operations such as data cleaning and joining with reference data are straightforward to create and cost-efficient to maintain. You will also want to apply incremental updates with change data capture (CDC) from the source system to the destination. mode("append").save(s3_output_folder)

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AWS Glue streaming application to process Amazon MSK data using AWS Glue Schema Registry

AWS Big Data

Organizations across the world are increasingly relying on streaming data, and there is a growing need for real-time data analytics, considering the growing velocity and volume of data being collected. Step 6} $ REGISTRY_NAME={VAL_OF_GlueSchemaRegistryName - Ref. Step 6} $ SCHEMA_NAME={VAL_OF_SchemaName– Ref.