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Announcing the DataOps Cookbook, Third Edition

DataKitchen

Still, they are burdened with too many errors, are overwhelmed with custom requests, and know they fail to succeed in their goal of leading their organizations to be more data-driven. As an industry, we have a conceptual hole in how we think about data analytic systems.

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Use Apache Iceberg in a data lake to support incremental data processing

AWS Big Data

We can check the data size with the following code in the AWS Command Line Interface (AWS CLI): //Run this AWS CLI command to check the data size aws s3 ls --summarize --human-readable --recursive s3://amazon-reviews-pds/parquet The total object count is 430, and total size is 47.4 Data Scanned (MB) 131.55 Data Scanned (MB) 131.55

Data Lake 117
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The Very Group adopts a data catalog to better organize and leverage its online retail capabilities

CIO Business Intelligence

Its constituent companies later moved into high-street retail, launched new mail-order brands selling clothing on credit, and even created a consumer financial data broker, later spun off like so many of the group’s other non-core activities. Establishing a clear and unified approach to data.

IT 97
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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. This solution includes a Lambda function that continuously updates the Amazon Location tracker with simulated location data from fictitious journeys.

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

AWS Big Data

In this post, we discuss ways to modernize your legacy, on-premises, real-time analytics architecture to build serverless data analytics solutions on AWS using Amazon Managed Service for Apache Flink. For the template and setup information, refer to Test Your Streaming Data Solution with the New Amazon Kinesis Data Generator.

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Streaming Market Data with Flink SQL Part II: Intraday Value-at-Risk

Cloudera

With Flink SQL, business analysts, developers, and quants alike can quickly build a streaming pipeline to perform complex data analytics in real time. In this article, we will be using synthetic market data generated by an agent-based model (ABM) developed by Simudyne. Intraday VaR. Citations. [1]

Risk 94
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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

2005: Microsoft passes internal memo to find solutions that could let users access their services through the internet. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models. Amazon launches AWS (but no cloud solutions yet). They were not successful until around 5 years later. To be continued.