Big Data
CloudHave you adjusted your DR plans for the cloud?
Many companies struggle to develop and update their disaster recovery plans. In the process, they overlook the amount of IT they have moved to the cloud. What if the cloud fails?
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Many companies struggle to develop and update their disaster recovery plans. In the process, they overlook the amount of IT they have moved to the cloud. What if the cloud fails?
Quality data is the cornerstone of good business decisions. To ensure that your data is high quality, it must first be measured. Learn how to measure data quality now.
Data observability tools allow you to monitor what is happening to your data. Here is a list of the top data observability tools of 2022.
Data quality is paramount in data warehouses, but data quality practices are often overlooked during the development process.
Talend provides solutions to improve the quality of data, data integration and preparation. Learn more about its features, pricing and more with this review.
There are many similarities between data migration and data integration, but they also have some key differences. Learn what they are.
From SaaS to NLP, we go beyond the acronyms and look at how cloud computing can be used in real life.
This seamless tool backs up all of your drives and partitions automatically.
Data preparation can be complicated. Get an overview of common data preparation tasks like transforming data, splitting datasets and merging multiple data sources.
See how SAS Data Management solutions can help you solve key business challenges and accelerate your business.
Implementing data governance is critical to protecting your company's sensitive data. Here's how to include data governance when you're a small company.
Slicers in Microsoft Power BI improve the experience for end users by providing a quick way to filter data in a meaningful way.
It doesn't matter what area you work in tech — even if you're only tech-adjacent — most organizations lag in efforts to ensure staff has the vital skill of a good grasp of data.
Data integration is the process of combining data from multiple sources into a single target data store. Learn more now.
Data modeling best practices help define a formal process that gives structure and direction to an organization's data. Read more about data modeling now.