Ikhtisar – To put it simply, silos are what prevent an organization from achieving its broader objectives, and more than often, at least cause delay in achieving them. Pretty much all sorts of organizations, be it big or small, have…
Revisit – Hadoop 2.0 (YARN) Framework
Introduction Since the time when Big Data was introduced it has gone through multiple phases of evolution. Hadoop was introduced in 2005 with some initial features such as the MapReduce processing engine which allowed large scale data processing workloads distributed…
Inside NoSQL – Not only SQL
Overview – NoSQL stands for Not only SQL, which means a database with some extended features of RDBMS. Today databases like NoSQL are gaining popularity in the enterprise. One of the most known examples of NoSQL database is MongoDB. Its…
Exploring Big Data trends in the coming years
Author: Kaushik Pal Overview – Big data is going to come in a big way in the coming years. It will also have a significant impact in the analytics world. Big data technology and platform will have a lot of…
What is Apache Kudu?
Ikhtisar : Kudu is the new open source project which provides updateable storage. It is a complement to HDFS/HBase, which provides sequential and read-only storage. Kudu is more suitable for fast analytics on fast data, which is the demand of…
Big data and AI need each other
Ikhtisar: To anyone applying AI in any form, the response to the heading above might be “Duh!” That’s an obvious statement to those engrossed at the coalface, but for many others (especially on the client side), they have yet to…
Digital Transformation and Big data and analytics can Improve Customer Experience
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…
Impact of Big Data in Medicine and pharmaceutical industry
Gambaran Umum Di dunia hari ini,,en,sejumlah besar informasi tersedia dalam pengobatan,,en,Data pengobatan ini dapat digunakan untuk membangun profil kesejahteraan individu pasien yang lebih baik dan efisien,,en,profil pasien yang terorganisir seperti itu dapat digunakan untuk,,en,Tinjauan Umum Saat membuat perbaikan besar pada bisnis Anda,,en,Anda harus waspada,,en,Salah satu cara terbaik untuk melakukannya adalah dengan memasukkan penggunaan data besar ke dalam operasi Anda sehari-hari,,en,Ini adalah,,en, 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
Ikhtisar: 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
Ikhtisar: 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
Ikhtisar: Telah ada banyak kegiatan di sekitar konsep Smart City selama beberapa waktu. Kota sedang diidentifikasi sebagai kota cerdas di masa depan. Secara teoritis setidaknya, smart cities can fundamentally change our lives at many levels such as…
Apache Drill – A Scheme Free SQL Query Engine
Apacheドリル– Scheme無料SQLクエリエンジンの概要,,en,ビッグデータ分析には、ビッグデータの実際の価値が含まれています,,en,これらの分析には、ビッグデータソリューションを実装するための統計的および技術的な知識が必要です,,en,つまり、あなたが,,en: Big data analytics contains the actual value of big data. Tapi, these analytics require statistical and technical knowledge to implement any big data solution. So the assumption was that you…