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Is Google BigQuery The Future Of Big Data Analytics?

Smart Data Collective

If your company deals with hundreds or thousands of customers, optimal productivity, budgeting and customer satisfaction should be at the top of your priority list. Achieving your company’s target goals can, however, be difficult if you’re unable to access all the relevant and useful data your business has. What is big data?

Big Data 331
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Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. This is something that you can learn more about in just about any technology blog. What is data virtualization?

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Why Game Studios Should Exploit Visual Analytics | BizAcuity

BizAcuity

It is no surprise that there are way more game developers in the iGaming industry than there are operators. It is evident that the future of igaming (for the Operators as well as the Game Studios) is being shaped by analytics. Inability to get player level data from the operators. The Data Strategy. Introduction.

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Understanding ETL Tools as a Data-Centric Organization

Smart Data Collective

The ETL process is defined as the movement of data from its source to destination storage (typically a Data Warehouse) for future use in reports and analyzes. The data is initially extracted from a vast array of sources before transforming and converting it to a specific format based on business requirements.

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Top 15 Warehouse KPIs & Metrics For Efficient Management 

Data Pine

Table of Contents 1) What Is A Warehouse KPI? 2) Why Do You Need Warehouse KPIs? 3) Top 15 Warehouse KPIs Examples 4) Warehouse KPI Dashboard Template The use of big data and analytics technologies has become increasingly popular across industries. What Is A Warehouse KPI?

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A Complete Guide to Data Analytics

Astera

What Is Data Analytics? Data analytics is the science of analyzing raw data to draw conclusions about it. The process involves examining extensive data sets to uncover hidden patterns, correlations, and other insights. Data analytics has several components: Data Aggregation : Collecting data from various sources.

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Ensuring Enterprise Data Privacy: 2024 & Beyond | Tips From 6 Data Experts

Astera

As we approach Data Privacy Day on January 28th, it’s crucial to recognize the significance of enterprise data privacy in our increasingly digital world. Data privacy is a fundamental aspect that businesses, especially those dealing with vast amounts of data, must ensure to protect sensitive information.