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…
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.…
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…
Measuring the ROI in Hadoop adoption
Ikhtisar: 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…
Konsep dasar Hadoop - Pelajari sekarang,en
Pengantar: In this series, we will discuss some of the basic concepts in Hadoop and big data. We have tried to cover basic concepts and explain them to make it easy to learn and implement. We will keep on adding…
Hadoop installation modes – Let’s explore
Ikhtisar: Apache Hadoop can be installed in different modes as per the requirement. These different modes are configured during installation. By default, Hadoop is installed in Standalone mode. The other modes are Pseudo distributed mode and distributed mode. The purpose…
Apa Spring untuk Apache Hadoop?
Ikhtisar: Musim semi adalah salah satu kerangka kerja banyak digunakan dalam pengembangan aplikasi enterprise. Semi memiliki komponen yang berbeda seperti Spring ORM, Semi JDBC dll untuk mendukung fitur yang berbeda. Spring untuk Apache Hadoop adalah kerangka untuk mendukung pembangunan aplikasi dengan komponen Hadoop…
Apa tren terbaru dalam data besar dan analisis?
Ikhtisar: teknologi data besar akan datang dengan praktik terbaik dan tren yang lebih baik setiap hari. data besar secara bertahap datang ke proyek-proyek arus utama juga dan mendapatkan momentum. Dengan data besar, analytics juga mendapatkan banyak pentingnya, apa adanya…
What is Hadoop distributed file system (HDF)?
Ikhtisar: In this article I will discuss about HDFS, which is the underlying file system of Apache Hadoop framework. Hadoop Distributed File System (HDF) is a distributed storage space that spans across thousands of commodity hardware. Sistem file ini memberikan…
How Hadoop Streaming works?
Ikhtisar: Hadoop streaming is one of the most important utility in Hadoop distribution. The Streaming interface of Hadoop allows you to write Map-Reduce program in any language of your choice, which can work with STDIN and STDOUT. So, Streaming bisa…
Apakah Fitur Lanjutan Hadoop MapReduce?
The basic MapReduce programming explains the work flow details. But it does not cover the actual working details inside the MapReduce programming framework. Artikel ini akan menjelaskan pergerakan data melalui arsitektur MapReduce dan panggilan API yang digunakan untuk…
Hadoop key terms, Simplified
Ikhtisar: In the current technology landscape, big data and analytics are the two most important areas where people are taking lot of interest. The obvious reason behind this traction is – perusahaan mendapatkan keuntungan bisnis dari besar ini…