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What is OLAP: A Complete Guide to Online Analytical Processing

Altexsoft

Later, this data can be: modified to maintain the relevance of what was stored, used by business applications to perform its functions, for example check product availability, etc. used for analytical purposes to understand how our business is running. So, we need a solution that’s capable of representing data from multiple dimensions.

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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Optimization opportunities offered by analytics.

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Insights from your JIRA data to help improve your team

Xebia

Historical comparisons : Comparing a version of this chart throughout the years (now vs 3 years vs 5 years ago) may provide important information on whether there were any improvements in the last years or not. Can we react to the market requests in time and get needed features in production fast? “won’t fix”).

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Comparing the impact of file formats

Xebia

This is not a fair comparison, because Spark has already inspected the CSV while creating the temporary view. DuckDB will apply the CSV-sniffer to inspect the CSV schema and data types before it can query the data. DuckDB internal format In the last comparison we will use the DuckDB internal format.

Analytics 130
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Cloudera Data Warehouse outperforms Azure HDInsight in TPC-DS benchmark

Cloudera

CDW is an analytic offering for Cloudera Data Platform (CDP). On CDW, when you provision a Virtual Warehouse against your Data Catalog (catalog of table and views), the platform provides fully tuned LLAP worker nodes ready to run your queries. Figure 1 – Overall Runtime Comparison. Benchmark Configuration.

Azure 120
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Hire Big Data Engineer: Salaries, Stack and Roles

Mobilunity

Technologies that have expanded Big Data possibilities even further are cloud computing and graph databases. The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer?

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Big Data Analytics: How It Works, Tools, and Real-Life Applications

Altexsoft

And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics.