Your big data testing strategy should include big data testing techniques, big data testing methods, and big data automation tools. A Complete Guide to Big Data Testing
Big data analytics is gaining widespread adoption in organizations of all sizes. Natural language processing along with artificial intelligence, actionable data and much more are going to dominate 2021
During the last few decades, ‘Big Data’ has become a brilliant concept in all key technical terms. The availability of wireless connections and other advances has made the analysis of large data sets easier. Companies and large organizations are gaining strength every year by increasing their data analytics and platforms. I have put together a list of the top big data trends that are determined to propel your business to achieve great success. Read more here! Top Big Data Trends to Watch Out in 2021
Workload automation is the foundation of the digital transformation necessary to deliver a great customer experience (CX) today. 4 Ways Automation and Big Data Drive Great Customer Experience
We are witnessing the world of sports change right in front of our eyes. One of the great changes we have seen in sports thanks to analytics has been the availability of data, both general stats and really in-depth analytical lines for fans of the sport to evaluate themselves.
What is Data Protection as a Service and Why it is Important? Data protection as a service (DPaaS) are cloud-based services that protect data assets and network security, offering Backup-as-a-Service, Disaster-Recovery-as-a-Service and Storage-as-a-Service services.
It enables integration and aggregation of data from disparate physical sources and diverse formats within one view without moving the data into central storage. Data virtualisation tools usually make data accessible with SQL, REST, or other standard data query methods, regardless of the source's file format.
Deep Dive Into Join Execution in Apache Spark. This post is exclusively dedicated to each and every aspect of Join execution in Apache Spark.
Today, homomorphic encryption could empower competitive financial firms with big data-related concerns by providing alternatives to its sources and innovating collectively to create their own proprietary market data products.
In this article, you will learn how to add a trend line to the line chart/line graph using Python Matplotlib. As a data scientist, it proves to be helpful to learn the concepts and related Python code, which can be used to draw or add the trend line to the line charts as it helps understand the trend and make decisions.
Hyperconvergence reduces data center complexity and boosts scalability. Significantly, hyperconverged infrastructure promises the delivery of simplicity and flexibility when compared with converged and legacy systems.
Scaling the Challenges of HPC through Big Data and Cloud Offerings. HPC today requires big data analytics and cloud platforms to boost its offering to businesses and research organizations. And this is going to grow in demand beyond into the post COVID world.
Pandemic Proves the Business Value of Rapid Analysis and Insight in the Midst of a Data Revolution. COVID-19 highlights the need for innovative data processing technologies to make sense of companies’ massive data volumes.
Satellite internet is a type of internet service that beams data directly from your provider to a satellite in space, and eventually to a dish at your home. In other words, it is a wireless connection that involves three satellite dishes.
Top 5 Reasons Presto Is the Foundation of the Data Analytics Stack. Let’s look at some important characteristics of Presto that account for its growing adoption.
The Importance of the Adoption of a Data Sharing Business Model. Data sharing using digital technologies, including blockchain will make data available and help organizations to improve organizational performance, and deliver increased value to customers.
Data security breaches are becoming common with people increasingly using the internet. Apart from massive data breaches at Facebook and Yahoo, small entities also become vulnerable due to weak IT infrastructure.
Join the Massive Data Revolution with Sqream. Shorten query times from days to hours or minutes, and speed up data preparation with - analyze the raw data directly.
In this article, see a credible approach of big data processing and an analysis of telecom data to minimize crime, combat terrorism, unsocial activities, etc.
Holding the Data Titans Accountable We're increasingly seeing calls for regulation and intervention that can counter-balance the power these organizations possess. Governments are getting serious about how to hold these tech monoliths accountable for how they collect and use data.