Pregled: There are a bunch of working definitions for Big Data yet to me it is put as data collection so substantial and complex that it ends up troublesome or difficult to process those utilizing conventional databases. For a little…
Big Data: A Big Bad Data or a Game Changer
Pregled: Data is evolving everywhere- from a single voice search you just made to locate a nearby restaurant in your neighbor to the last weekend’s party pictures which you just threw over Facebook account. “A report reveals that 2.5 quintillion…
Why Apache Spark is the future platform for big data?
Pregled: As big data becomes one of the most important assets an enterprise can possess, enterprises are demanding more out of the data. Enterprises expect data to provide complex and multidimensional insights at high speeds. To provide such insights, companies…
Exploring HBase NoSQL DB
Pregled: Apache HBase is one of the most popular non-relational databases built on top of Hadoop and HDFS (Hadoop Distributed File system). It is also known as Hadoop database. As an Apache project, HBase is an open-source, versioned and distributed…
Apache Pig and Hadoop platform – How to process your data?
Pregled: Apache Pig is a high level scripting language and a part of Apache Hadoop Eco-system. Pig scripting is mainly used for data analysis and manipulation on top of Hadoop platform. We know that MapReduce is a programming model used…
Hadoop Basic concepts – Learn it now
Uvođenje: 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…
Steps to work with Windows Azure HDInsight
Pregled: Hadoop has made big data handling simpler and it goes without saying that in the context of the huge importance big data is being given, Hadoop is viewed as a key tool in big data management. However, organizations might…
Hadoop načina instalacije - Istražimo
Pregled: Apache Hadoop može biti instaliran na različite načine kao i po zahtjevu. Ovi različiti načini su konfigurirani tijekom instalacije. Prema zadanim postavkama, Hadoop is installed in Standalone mode. The other modes are Pseudo distributed mode and distributed mode. The purpose…
Što je HDF-ovi savez?
Pregled: Svjesni smo od značajki Hadoop i HDF-ovi. U ovom dokumentu ćemo govoriti o HDF-ovi federacije koja nam pomaže kako bi se poboljšala postojeći HDF-ovi arhitekturu. It provides a clear separation between namespace and storage…
Što je proljeće za Apache Hadoop?
Pregled: Proljeće je jedan od široko korištenih okvira u razvoju poslovnih aplikacija. Spring ima različite komponente kao što su Spring ORM, Proljeće JDBC itd podržati različite značajke. Proljeće za Apache Hadoop je okvir za podršku aplikacija zgrade s Hadoop komponente…
Koji su najnoviji trendovi u velikim podataka i analitike?
Pregled: Big tehnologija podaci dolaze s dobrim poslovnim običajima i boljih trendova svaki dan. Big podaci se postupno dolaze u glavni tok projekata također i dobivanjem zamah. S velikim podataka, analitika također uzimajući mnogo važnosti, kao što je to…
What is Hadoop distributed file system (HDFS)?
Pregled: In this article I will discuss about HDFS, which is the underlying file system of Apache Hadoop framework. Hadoop Distributed File System (HDFS) is a distributed storage space that spans across thousands of commodity hardware. Ova datoteka sustav pruža…
How Hadoop Streaming works?
Pregled: 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 mogu…