Overview Digital transformation is the key area to improve customer experience. Big data and analytics are just the tools to help in the process of digital transformation. In earlier days, customer behaviors on the websites were deemed to be something…
Ўплыў вялікіх дадзеных у медыцыне і фармацэўтычнай прамысловасці,en
Overview In today’s world, a huge volume of information is available in medication. This medication data can be utilized to construct improved and efficient well being profiles of individual patients. And, such an organized patient profile can be used to…
Data virtualization and complex large volume of data
Агляд: The data virtualization industry has been growing fast, something that experts think is going to last. As data becomes one of the most important assets in business, corporations are looking for ways to get the best out of it.…
Big Data and Education Industry
Агляд: Big data has been driving revolutionary changes in education. There hardly remains an area in education not impacted by big data. You can notice the changes in the ways educational institutions are governed, course quality is managed and student…
Big Data characteristics and pain points
Overview Big data is based on three most important characteristics, known as volume, velocity and veracity. It comes in different forms and structure. Big data analytics is having significant impact in business decision. But it comes with some pain points.…
Use of Big Data in Smart City Projects
Агляд: There has been a lot of activity around the concept of Smart City for some time. Cities are being identified as future smart cities. Theoretically at least, разумныя гарады могуць у прынцыпе змяніць наша жыццё на многіх узроўнях, такіх як,,en,Агляд Прыкладанні, якія кіруюцца дадзенымі, сучасныя ў значнай ступені залежаць ад адпаведных звестак, атрыманых з велізарнай колькасці дадзеных, з якімі яны апрацоўваюцца кожны дзень,,en,Каб кожны раз атрымліваць лепшае разуменне,,en,прыкладанні павінны мець магчымасць адпраўляць складаныя запыты і базу дадзеных,,en…
Graph Database and Data Driven Applications
Overview Modern-day data-driven applications are largely dependent on relevant insights derived from the enormous volumes of data they handle every day. To gain better insights every time, the applications need to be able to send complex queries and the database…
Apache Drill – A Scheme Free SQL Query Engine
Дрыль Apache - Агляд бясплатных механізмаў агляду SQL Query Engine,,en,Аналітыка вялікіх дадзеных утрымлівае фактычнае значэнне вялікіх дадзеных,,en,гэтая аналітыка патрабуе статыстычных і тэхнічных ведаў для рэалізацыі любога рашэння вялікіх дадзеных,,en,Такім чынам, здагадка было, што вы,,en: Big data analytics contains the actual value of big data. але, these analytics require statistical and technical knowledge to implement any big data solution. So the assumption was that you…
How Open Data Platform simplifies Hadoop adoption?
Overview The Open Data Platform (ODP) is an industry initiative focused on simplifying the adoption of Apache Hadoop by the Enterprise and enabling Big Data solutions to thrive with better ecosystem interoperability. It builds on the strengths of the Apache…
Exploring Zeta Architecture
Агляд: The Zeta Architecture is a new way of setting up your solution and enterprise architecture. When you are deploying the Zeta architecture, you combine your solution and enterprise architecture unlike the way architecture systems are used now. Traditionally, the…
Measuring the ROI in Hadoop adoption
Агляд: Nowadays, people seem to be really misinformed about Hadoop, mainly due to lots of half-truths that are fluttering about it in the market. However, all these half-truths were normal as Hadoop is said to be one of the best…
SQL on Hadoop – How does it work?
Агляд: SQL on Hadoop is a group of analytical application tools that combine the SQL-style querying and processing of data with the most recent Hadoop data framework elements. The emergence of SQL on Hadoop is an important development for big…
Role of Big Data in User Authentication
Overview Password-based and two-factor and multifactor authentication processes have not been able to able provide protection to systems and data as well as was expected due to various reasons. Password-based authentication is too fragile and two-factor and multifactor authentication processes…