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…
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…
ພາບລວມ: 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.…
ພາບລວມ: 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…
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.…
ພາບລວມ: 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, smart cities can fundamentally change our lives at many levels such as…
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 - ພາບລວມຂອງເຄື່ອງຈັກໃນການສອບຖາມແບບ SQL ແບບບໍ່ເສຍຄ່າ,,en,ການວິເຄາະຂໍ້ມູນໃຫຍ່ມີມູນຄ່າຕົວຈິງຂອງຂໍ້ມູນໃຫຍ່,,en,ການວິເຄາະເຫຼົ່ານີ້ຮຽກຮ້ອງໃຫ້ມີຄວາມຮູ້ທາງສະຖິຕິແລະເຕັກນິກເພື່ອປະຕິບັດການແກ້ໄຂຂໍ້ມູນໃຫຍ່,,en,ດັ່ງນັ້ນສົມມຸດຕິຖານແມ່ນວ່າທ່ານ,,en: Big data analytics contains the actual value of big data. ແຕ່, these analytics require statistical and technical knowledge to implement any big data solution. So the assumption was that you…
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…
ພາບລວມ: 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…
ພາບລວມ: ປະຈຸບັນ, 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…
ພາບລວມ: 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…
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…
