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Why Game Studios Should Exploit Visual Analytics | BizAcuity

BizAcuity

However, many Game Studios struggle with implementing analytics tools and solutions for their business for two main reasons-. Inability to get player level data from the operators. A typical data warehouse takes around 6 months to be built and requires a skilled IT team to ensure smooth ETL and workflow performance. Conclusion.

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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.

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Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

Data analytics priorities have shifted this year. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

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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. To be continued.