Top 5 big data analytics tools
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Top 5 big data analytics tools

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DataZack is a Cochin-based firm dealing with Big Data solutions; where an integral part is web crawling and data ...

DataZack is a Cochin-based firm dealing with Big Data solutions; where an integral part is web crawling and data

extraction. We use cloud computing solutions to facilitate our Data as a Service platform We helps clients develop and

deploy result-oriented analytics solutions that enable them to make smarter decisions using their data, on an ongoing

basis.

Our solutions help clients improve marketing performance; efficiently trade-off risks against available opportunities,

maximize customer value, and increase employee effectiveness. DataZackcombines business domain knowledge in Consumer

Lending, Consumer Financial Services, Insurance, Consumer Goods, Retail and Technology industries with expertise in

analytics, quantitative modeling, decision management and business research to build practical solutions that deliver long

term business value to our clients.

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Top 5 big data analytics tools Top 5 big data analytics tools Document Transcript

  • More Next Blog» Create Blog Sign In Top 5 Big Data Analytics Tools Apache Hadoop Apache Hadoop is an open-source software framework for storage and large scale processing of data-sets on clusters of commodity hardware. Hadoop is an Apache top-level project being built and used by a global community of contributors and users. It is licensed under the Apache License 2.0.All the modules in Hadoop are designed with a fundamental assumption that hardware failures (of individual machines, or racks of machines) are common and thus should be automatically handled in software by the framework. Apache Hadoop's MapReduce and HDFS components originally derived respectively from Google's MapReduce and Google File System (GFS) papers. Beyond HDFS, YARN and MapReduce, the entire Apache Hadoop âplatformâ is now commonly considered to consist of a number of related projects as well â Apache Pig, Apache Hive, Apache HBase, and others.For the end-users, though MapReduce Java code is common, any programming language can be used with "Hadoop Streaming" to implement the "map" and "reduce" parts of the user's program. Apache Pig, Apache Hive among other related projects expose higher level user interfaces like Pig latin and a SQL variant respectively. The Hadoop framework itself is mostly written in the Java programming language, with some native code in C and command line utilities written as shell-scripts. RapidMiner converted by Web2PDFConvert.com
  • RapidMiner is a software platform developed by the company of the same name that provides an integrated environment for machine learning, data mining, text mining, predictive analytics and business analytics. It is used for business and industrial applications as well as for research, education, training, rapid prototyping, and application development and supports all steps of the data mining process including results visualization, validation and optimization.RapidMiner is developed on a business source model which means the core and earlier versions of the software are available under an OSI-certified open source license. A Starter Edition is available for free download, a Personal Edition is offered for $999, a Professional Edition is $2,999 and pricing for the Enterprise Edition is available from the developer. RapidMiner uses a client/server model with the server offered as Software as a Service or on cloud infrastructures.According to Bloor Research, RapidMiner provides 99% of an advanced analytical solution through template-based frameworks that speed delivery and reduce errors by nearly eliminating the need to write code. RapidMiner provides data mining and machine learning procedures including: data loading and transformation (Extract, transform, load ( ETL)), data preprocessing and visualization, predictive analytics and statistical modeling, evaluation, and deployment. RapidMiner is written in the Java programming language. RapidMiner provides a GUI to design and execute analytical workflows. Those workflows are called "Process" in RapidMiner and they consist of multiple "Operators". Each operator is performing a single task within the process and the output of each operator forms the input of the next one. Alternatively, the engine can be called from other programs or used as an API. Individual functions can be called from the command line. RapidMiner provides learning schemes and models and algorithms from Weka and R scripts that can be used through extensions Infobright Infobright is a commercial provider of column-oriented relational database software with a focus in machinegenerated data. The company's head office is located in Toronto, Canada. Most of its research and development is based in Warsaw, Poland.Infobright was founded in 2005. It became an open source company in September 2008, when it issued the first free release of its software. At the same time its community site was launched.The company is funded by venture capital investors Flybridge Capital Partners, RBC Venture Partners, and Sun Microsystems. In 2009, Infobright was recognized as MySQL's Partner of the Year, and a Gartner Cool Vendor in Data Management and Integration. It is also certified for use with Sun's Unified Storage product line. It is the assignee of published patent applications on data compression, query optimization, and data organization.Infobright's database software is integrated with MySQL, but with its own proprietary data storage and query optimization layers.Infobright uses a columnar approach to database design. When data is loaded into a table, it is broken into the groups of 216 rows, further decomposed into separate data packs for each of the columns. By breaking each column by the same number of rows, it maintains its integrity with other columns for the same entry. For example, row 1, column 1 is the first entry in the first datapack for column 1. converted by Web2PDFConvert.com
  • Row 1 in column 2 is the first entry in the first datapack for column 2. Gephi i Gephi is an open-source network analysis and visualization software package written in Java on the NetBeans platform. Gephi has been selected for the Google Summer of Code in 2009, 2010, 2011, 2012, and 2013.Gephi has been used in a number of research projects in the university, journalism and elsewhere, for instance in visualizing the global connectivity of New York Times content and examining Twitter network traffic during social unrest along with more traditional network analysis topics. The Gephi Consortium is a French non-profit corporation which supports development of future releases of Gephi. Members include SciencesPo, Linkfluence, WebAtlas, and Quid.Gephi inspired the LinkedIn InMaps and was used for the network visualizations for Truthy Apache Lucene Apache Lucene is a free/open source information retrieval software library, originally created in Java by Doug Cutting. It is supported by the Apache Software Foundation and is released under the Apache Software License. Lucene has been ported to other programming languages including Delphi, Perl, C#, C++, Python, Ruby, and PHPDoug Cutting originally wrote Lucene in 1999. It was initially available for download from its home at the SourceForge web site. It joined the Apache Software Foundation's Jakarta family of open-source Java products in September 2001 and became its own top-level Apache project in February 2005. Until recently,[when?] it included a number of sub-projects, such as Lucene.NET, Mahout, Solr and Nutch. Solr has merged into the Lucene project itself and Mahout, Nutch, and Tika have moved to become independent top-level projects. About DataZack DataZack is a Cochin-based firm dealing with Big Data solutions; where an integral part is web crawling and data extraction. We use cloud computing solutions to facilitate our Data as a Service platform We helps clients develop and deploy result-oriented analytics solutions that enable them to make smarter decisions using their data, on an ongoing basis. Our solutions help clients improve marketing performance; efficiently trade-off risks against available opportunities, maximize customer value, and increase employee effectiveness. DataZackcombines business domain knowledge in Consumer Lending, Consumer Financial Services, Insurance, Consumer Goods, Retail and Technology industries with expertise in converted by Web2PDFConvert.com
  • analytics, quantitative modeling, decision management and business research to build practical solutions that deliver long term business value to our clients. www.datazack.com Hom e Older Post Sim tem ple plate. Powered by Blogger. converted by Web2PDFConvert.com