As your business grows and the amount of data you’re amassing grows with it, you’ll likely begin considering a move to the cloud to meet your big data analytics needs. With significant offerings available from AWS, Azure, and Google, it ...
The healthcare industry is full of big data, even if executives don’t always realize that.
When it comes to healthcare costs, they come under review for accuracy but still contain errors. There’s also issues with incorrect pricing, the wrong line items ...
Big data is a term to describe large volumes of structured and unstructured data that are too big to be processed by traditional means. According to the sixth edition of the Data Never Sleeps report, over 2.5 quintillion bytes of ...
Cassandra is a high-performance, NoSQL relational database that is used by some of the biggest companies, including Netflix and Reddit. Although it was originally designed to run on-premises, this database can be used on cloud services as well. AWS EC2 ...
Big data occupies a massive data storage capacity. A backup process for your big data will consume a lot of storage and network resources and is not an easy task. This raises the question is it worthwhile to back-up your ...
Nowadays, big data security powers most of the security tools for businesses of all kinds. To enhance the capabilities of their tools, most antivirus (AV) and firewall providers use big data, which helps them refine and train their offerings. For ...
It has never been easy to earn passive income, even online where some say you can literally "make money in your sleep." However, with the coming of blockchain, Bitcoin, and other types of cryptocurrencies, it is now possible to make ...
Big Data has become a popular topic of discussion in recent years, supporting businesses and IT specialists in a variety of processes. In simple words, Big Data refers to immense volume of data, both structured and unstructured, which can’t be ...
Mobile apps have become an important part of our daily life and simplified every single activity that we do. Due to the introduction of smart apps, it gets easy for us to perform a certain set of action with just ...
Since the appearance of the term, in 2015, DataOps is getting great interest and is well received among data scientists, analysts and data managers and those working with data usage and data value. Driving data value by applying Agile methodology ...