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At A Glance: Data Warehousing

The modern business environment necessitates interactions with millions of customers and other businesses all across the world both instantaneously and constantly through the Internet. This ongoing stream of communication and information produces a wealth of data from an innumerable roster of sources. The management and storage of this data has become a growing problem for many businesses, with identifying and storing valuable data, along with establishing and maintaining the minimal amount of redundancy necessary for data storage both key examples of the difficulties an organization can face. No longer can a company rely on individual employees to track and store their own data, as well as analyze and report it in meaningful ways. There is now a growing need for data warehousing techniques and professionals to help manage a company’s data.

Data warehousing professionals are data analysis and storage experts with experience working with and processing data systems. A warehousing professional is capable of connecting you and your organization with the resources needed to seamlessly store, analyze, and recall the data you need most for your business decisions. A consultant is available to help you identify the type of data most valuable to you and the processes of analysis and storage that fit your needs most. Both professionals and consultants are available to work on systems and problems remotely and on a project-by-project basis, thus providing you and your company with the flexibility you need to solve and manage data problems in the timeframe you need.

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Enterprise Solutions

9 Ways Agencies Can Successfully Scale with Freelancers

Agencies need to ramp up and down based on project needs. See how freelancers can help agencies deliver high-quality work for their clients and successfully scale with demand.

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Data

Python: A Powerful Language for High-Traffic, Data-Heavy Apps

Python is hugely valuable to companies that need to quickly prototype new products and data-focused companies that need to integrate statistical analysis into their workflows. In this article, we’ll explore what sets Python apart from other programming languages, why it’s popular with data scientists, and what you should look for in a Python engineer.

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