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Materialized Views in Hive for Iceberg Table Format

Cloudera

Apache Iceberg is a high-performance open table format for petabyte-scale analytic datasets. Queries containing joins, filters, projections, group-by, or aggregations without group-by can be transparently rewritten by the Hive optimizer to use one or more eligible materialized views.

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An Overview of Sales Analytics in Event Industry

BizAcuity

Sales Analytics in simple terms can be defined as the process used to identify, understand, predict and model sales trends and sales results and in this process of understanding of these trends helps its users in finding improvement points. Sales Analytics in Event Industry – A Perspective View. Image Source: [link].

Sales 67
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Big Data Creates Massive Changes for the Game of Golf

Smart Data Collective

Since its conception, many individual athletes and teams have optimized their performances with the latest technology while enhancing entertainment value for fans. Golf has since embraced data analytics to provide enjoyment to the game and a deeper understanding. Data analytics in today’s golf sport has become very important.

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How Etihad taps data science to optimise airline operations

CIO Business Intelligence

Based in Abu Dhabi and in operation since 2003, in recent years Etihad has used a data lake and a unified set of AI-driven analytics tools to optimise staffing, the handling of passengers, and responses to customer inquiries. Unifying analytics on a data science platform. Using NLP to optimize customer response times.

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Top DevOps Trends that Will Matter in 2020 For Your Business

Smart Data Collective

Furthermore, thanks to such benefits this field of development is growing very fastly and it’s critically important to optimize your product delivery and maintenance that can be done through implementing the most effective and the latest DevOps trends. DevOps managed services and assembly lines are the way of the future.

Software 101
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Data Modeling 201 for the cloud: designing databases for data warehouses

erwin

In fact, many commonly accepted best practices for designing OLTP databases could well be considered worst practices for these purely analytical systems. Analytical. I published my first book in 2003 showcasing how I used Ralph’s technique to create a large data warehouse in the Oracle database. Business Focus. Operational.

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Multiplicity: Succeed Awesomely At Web Analytics 2.0!

Occam's Razor

Not " singlecity ", not on the web, not in Web Analytics 2.0." My first eMetrics summit was June 2003 and as a young inexperienced person new in the field it was a great learning experience (eMetrics in Santa Barbara were the best!). I have already presented my mental model for Web Analytics 2.0.