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Orca Security’s journey to a petabyte-scale data lake with Apache Iceberg and AWS Analytics

AWS Big Data

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

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How AWS helped Altron Group accelerate their vision for optimized customer engagement

AWS Big Data

Altron is a pioneer of providing data-driven solutions for their customers by combining technical expertise with in-depth customer understanding to provide highly differentiated technology solutions. Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices.

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Reference guide to build inventory management and forecasting solutions on AWS

AWS Big Data

With the proliferation of IoT devices and the abundance of data generated by them, it has become possible to collect real-time data on inventory levels, customer behavior, and other key metrics. However, analyzing large volumes of data can be a time-consuming and resource-intensive task. This is where Athena come in.

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Extend your data mesh with Amazon Athena and federated views

AWS Big Data

This query is fairly complex: it involves multiple joins and requires special knowledge of the correct way to calculate profit metrics that other end-users may not possess. For more information on using views with federated data sources, see Querying federated views. Let’s dive into the solution.

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Turning Streams Into Data Products

Cloudera

The DevOps/app dev team wants to know how data flows between such entities and understand the key performance metrics (KPMs) of these entities. Without context, streaming data is useless.” ” SSB enables users to configure data providers using out of the box connectors or their own connector to any data source.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? You cannot get away from a formalized delivery capability focused on regular, scheduled, structured and reasonably governed data. Data lakes don’t offer this nor should they. E.g. Data Lakes in Azure – as SaaS.