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7 Enterprise Applications for Companies Using Cloud Technology

Smart Data Collective

The sudden growth is not surprising, because the benefits of the cloud are incredible. Enterprise cloud technology applications are the future industry standard for corporations. Cloud computing has found its way into many business scenarios and is a relatively new concept for businesses. Multi-cloud computing.

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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

This data is then processed, transformed, and consumed to make it easier for users to access it through SQL clients, spreadsheets and Business Intelligence tools. Data warehousing also facilitates easier data mining, which is the identification of patterns within the data which can then be used to drive higher profits and sales.

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McKesson: Using Big Data to Improve Care and Save Lives

Sisense

Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. The use of big data analytics and cloud computing has spiked phenomenally during the last decade.

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How to Manage your Data Science Project: An Ultimate Guide

Marutitech

Data science management has become an essential element for companies that want to gain a competitive advantage. The role of data science management is to put the data analytics process into a strategic context so that companies can harness the power of their data while working on their data science project.

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Top 14 Must-Read Data Science Books You Need On Your Desk

Data Pine

By acquiring a deep working understanding of data science and its many business intelligence branches, you stand to gain an all-important competitive edge that will help to position your business as a leader in its field. Hands down one of the best books for data science. It’s also one of the best books on data science around.

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

Data Pine

A working understanding of cloud computing and data visualization. Being numbers and data-driven: There are many expectations when it comes to working with BI and data analytics. A firm grasp of business strategy and KPIs. A fundamental understanding of SQL and the technical aspects of BI. BI developer.