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The results for data-related topics are both predictable and—there’s no other way to put it—confusing. Starting with dataengineering, the backbone of all data work (the category includes titles covering data management, i.e., relational databases, Spark, Hadoop, SQL, NoSQL, etc.).
This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Hiring a well-skilled data architect can be very helpful for that purpose. What is a data architect? What is the main difference between a data architect and a dataengineer?
If your business generates tons of data and you’re looking for ways to organize it for storage and further use, you’re at the right place. Read the article to learn what components data management consists of and how to implement a data management strategy in your business. Key disciplines and roles in data management.
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How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies. In this article, we discussed the most popular big data and data science development services that your company can take advantage of. User Data Collection. Database Management.
Here, HIM is short for health information management, the discipline too broad to be covered in one article. So, we’ll only touch on its most vital aspects, instruments, and areas of interest — namely, data quality, patient identity, databaseadministration, and compliance with privacy regulations.
This article delves into the current situation of women in technology by discussing the obstacles they face, inspiring success stories, and the upsides of encouraging more women to enter the field. DataEngineer: Dataengineers design, build, and manage a company’s data architecture.
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