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…
Overview : 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…
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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.…
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. autem, 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…
Overview: 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…
Overview: hodie, 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…
Overview: 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 In today’s big data era, we have heard about different tools, platforms etc. for managing big data and analytics. Each platform like Spark, Hadoop etc., has their own specialties and limitations. Big data applications are using different platforms based…
Overview Big data, data science, and big data analytics are perhaps some of the hottest terms in today’s technology world. autem, at the same time there is a lot of misunderstanding and confusion about those terms. So people start thinking…
Overview: Big data comes with big challenges. The data will keep on expanding with a tremendous velocity. The study has shown that almost 90 percent data has been generated in the last two years, so the challenge is to handle this…
Overview: The healthcare industry is growing at a faster pace than earlier and there is a synonymous increase in the demand for new & innovative medicines and patient care. In order to meet these rising demands, new technologies are being…
