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Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

Big Data Technologies and Architectures. Dresner end-user research shows that big data use cases have seen a dramatic increase in adoption and have become a mainstream approach for supporting analytics. In 2015, only 17% of organizations surveyed had big data implementations.

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Why Game Studios Should Exploit Visual Analytics | BizAcuity

BizAcuity

Inability to get player level data from the operators. It does not make sense for most casino suppliers to opt for integrated data solutions like data warehouses or data lakes which are expensive to build and maintain. Evolution from MS Excel to Visual Reporting. Modern Visual Analytics Tools.

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How Amazon Devices scaled and optimized real-time demand and supply forecasts using serverless analytics

AWS Big Data

With data volumes exhibiting a double-digit percentage growth rate year on year and the COVID pandemic disrupting global logistics in 2021, it became more critical to scale and generate near-real-time data. You can visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes.

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Run Spark SQL on Amazon Athena Spark

AWS Big Data

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data.

Data Lake 101
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Cross-Functional Trade Surveillance

Cloudera

All three cases require a “big picture” approach that incorporates new and alternative data sources and cross-functional collaboration throughout the organization not only to identify illegal activities, rogue traders, or personal misconduct but also to provide evidential material that demonstrates a deep understanding of the intent.

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

BizAcuity

Microsoft also releases Power BI, a data visualization and business intelligence tool. 2015: Google announces Google Kubernetes Engine for the cloud. Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store.