Click to learn more about author Tripti Rai. With 4.77 billion mobile phone users right now, there?s no exaggeration in saying that mobile app development is the right place to invest in. Every brand is turning towards mobile apps to reach the wider audience, cater their needs, and enjoy higher ROI. However, it is not [?]
Over the past few years, big data has emerged to a great extent. Right from the industrial data to customer-centric behavioral data, High-performance analytics lets you do things you never thought about before because the data volumes were just way too big. This ultimately ends up in gaining timely insights... Read more »
by Angela Guess A recent press release reports, ?The Software & Information Industry Association (SIIA), the principal association representing the software and digital content industries, released an updated issue brief titled, ?Ethical Principles for Artificial Intelligence and Data Analytics.? This issue brief focuses on a framework of responsible data use that incorporates ethical principles for [?]
From its humble beginnings in the AMPLab at U.C. Berkeley in 2009, Apache Spark has become one of the key big data distributed processing frameworks in the world. Spark can be deployed in a variety of ways, provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning, and graph processing. You?ll find it used by banks, telecommunications companies, games companies, governments, and all of the major tech giants such as Apple, Facebook, IBM, and Microsoft.
Regardless of industry or company size, Big Data has become the latest buzzword amongst businessmen nowadays. I assume that 99.9% of the people reading this post know what data is- a collection of facts, statistics, and information on a given subject. But have you ever wondered what is Big data... Read more »
Click to learn more about author Anil Parmar. An estimated 2.7 million job postings for Data Analytics and science are projected in the United States by 2020. With more and more companies understanding the importance of Big Data as a useful source for gaining insights and making informed decision- the demand for Data Analytic specialists who [?]
One of the key best practices for successful implementation of a big data analytics solution is to validate the business use case for big data. It will help organization with two important aspects for success: Here are some Big Data Use Cases..
Win Free Tickets to Great Big Data Events I?m offering an all access Pass for Monetising Big Data in Telecoms World Summit 2015 Monetising internal and external big data to drive brand loyalty and develop new revenue streams Conference: 20 ? 21 April 2015 Goodwood Park Hotel, Singapore Conference Programme:...Read more »
Write Here for Big Data Analytics News Contribute articles to Big Data Analytics News on the Big Data topics that inspire you. Speak to our global Big Data audience through our Organic, Social and Digital Channels. The contributing articles will be related to Data visualization and the cloud. Venture capital...Read more »
by Angela Guess According to a new press release, ?BlueDataź, provider of the leading Big-Data-as-a-Service (BDaaS) software platform, today announced BlueData EPIC? version 3.0. This major new release provides increased scalability, enhanced networking, significant security and performance optimizations, and new functionality for distributed data science operations. With BlueData EPIC 3.0, enterprises can quickly and easily ?
by Angela Guess According to a recent press release, ?Most organizations now have access to immense amounts of data through multiple channels. It is therefore important to find the correct technology and services to manage this data and take advantage of the insights it can provide. Quantzig?s big data analytics solutions provide big data tools, ?
by Angela Guess A new press release reports, ?X-IO Technologies today announced general availability of its Axellio edge-computing platform, delivering unprecedented real-time performance of 480 Gbps for complex analytics on high-volume, high-velocity, streaming data. The unique combination of performance, density and cost enables the next generation of capabilities for cybersecurity, financial market data, defense and ?