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LinkedIn Data Integration with Informatica Infographic

For a company like LinkedIn, data is at the core of their business. Externally, subscribers to their network are constantly seeing content updated by the seconds. But what about internally? Their data teams are non-stop behind the scenes working to keep up with all of this rapidly changing data so when their Financial, Planning, & Analysis (FP&A) team required the ability to integrate multiple versions of changing planning and forecast data with actual financial records, they needed the ability to refresh the enterprise data warehouse without relying on resources outside of the FP&A group.

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Other Infographics

Benefits of Data Modeling for Businesses

Infographic | February 3, 2022

Data modeling makes it easier for developers, data architects, business analysts, and other stakeholders to view and understand relationships among the data in a database or data warehouse. Benefits of data modeling helps companies take fast data-driven decisions and enhance the business processes at a higher rate.

8 BIG DATA ANALYTICS TRENDS TO EXPECT IN 2021

Infographic | February 12, 2021

Organizations collect huge volumes of data and use efficient methods, including digitization by data entry companies, to turn this data into usable information. Big data analytics refers to the use of advanced techniques to analyze data for constructive use. Emerging technologies such as artificial intelligence and machine learning are driving changes in big data analytics. Let’s take a deeper dive into what’s in store for big data analytics in the coming year.

How to use your transactional data: benefits of data-driven spend analytics

Infographic | June 23, 2022

Get more value from your transactional data. Discover the benefits of data-driven spend analytics and start improving your procurement strategies today.

Importance of Data Encryption

Infographic | March 30, 2022

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Maximize the value of your data

Infographic | October 1, 2021

Some of the top benefits organizations saw from machine learning include lower costs, improved workforce productivity, increased sales, and much more. Red Hat and Intel can help you quickly tap into these benefits from one unified platform that focuses on pulling value from data with AI and analytics.

Difference Between Data Science and Data Analytics

Infographic | March 12, 2020

Dealing with unstructured and structured data, Data Science is a field that comprises everything that related to data cleansing, preparation, and analysis.Data Science is the combination of statistics, mathematics, programming, problem-solving, capturing data in ingenious ways, the ability to look at things differently, and the activity of cleansing, preparing, and aligning the data.In simple terms, it is the umbrella of techniques used when trying to extract insights and information from data.

LinkedIn Data Integration with Informatica Infographic