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DataOps For Business Analytics Teams

DataKitchen

Business analysts must rapidly deliver value and simultaneously manage fragile and error-prone analytics production pipelines. Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics. In business analytics, fire-fighting and stress are common.

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Unlocking Data Storage: The Traditional Data Warehouse vs. Cloud Data Warehouse

Sisense

Data warehouse vs. databases Traditional vs. Cloud Explained Cloud data warehouses in your data stack A data-driven future powered by the cloud. We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Data warehouse vs. databases.

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What is a business intelligence analyst? A key role for data-driven decisions

CIO Business Intelligence

This is done by mining complex data using BI software and tools , comparing data to competitors and industry trends, and creating visualizations that communicate findings to others in the organization. Other senior positions may require an MBA, but there are plenty of BI jobs that require only an undergraduate degree.

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Don’t Blink: You’ll Miss Something Amazing!

Cloudera

We can get to faster root-cause analysis and become proactive instead of reactive to changes in markets, business operations, and customer behavior. And all of this should ideally be delivered in an easy to deploy and administer data platform available to work in any cloud. Kudu has this covered.

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How Macmillan Publishers authored success using IBM Cognos Analytics

IBM Big Data Hub

Data analytics in the publishing industry With such a widespread global operation, Macmillan Publishers has a long history of investing in technology that can source deep analytical information about sales, inventory and transportation of their titles in the market.

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Understanding Structured and Unstructured Data

Sisense

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

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An A-Z Data Adventure on Cloudera’s Data Platform

Cloudera

Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist.