Posted by admin April - 30 - 2016 ADD COMMENTS

Hadoop architecture is a well respected and appreciated project. It is open-source software that guarantees reliability, scalability and offers distributed computing. It is software which is designed to simplify tasks running on large clusters. To manage large data sets with so much conviction this system requires some quality ingredients which can help produce the intended results. It has a structured architecture which comprises a number of elements. At the bottom, the Hadoop Distributed file system (HDFS) is present which stores files across storage nodes within the Hadoop cluster. Above the HDFS, there is a Mapreduce engine that consists of two elements – JobTrackers and TaskTrackers.

Here all the elements have a special purpose like a JobTracker is added in the system to perform task assignment. Tasktracker is present to perform map and reduce tasks, a very critical and important task in the whole process. NameNode is an element which comes into picture only when the Hadoop file system is used. It keeps all the file system metadata and is kept as a separate server from JobTracker. There is another NameNode, called as secondary NameNode, which has the main purpose to check-points the file system metadata periodically.  Another element which plays a vital role in the Hadoop architecture is called as DataNodes. The main activity which it performs is to store HDFS files and handle HDFS read/write requests. Its location preferably exists with TaskTrackers. The placement is done because this will make the data locality optimal.

At the time installation, there are three different modes – Local mode, which is also called as Standalone Mode, Pseudo-Distributed Mode and Fully-Distributed Mode. There is a requirement of the software such as JavaTM 1.6.x. It would be great if you use it from Sun. While installing the Hadoop architecture you must use the right configuration.

If you want to use this Hadoop MapReduce model for processing your large amount of data in parallel, you need to understand the software structure and each element in detail. Each step is important and significant in the installation. Don’t miss even a single step; otherwise you would not get the perfect Hadoop architecture in your business set-up. It provides a general partitioning mechanism that distributes workload across different machines and makes it work effectively. Basically, you need to select the right key for the record while stepping to different stages.

Choose a professional who knows everything about the Hadoop architecture and can help you install it to perfection.

Victor is an experienced Content writer and publisher specialist in writing about Hadoop architecture,Hadoop applications and Mapreduce.He has done post graduation in English literature and regularly writes content for print media such as mazgines,newspapers etc.

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Posted by gildenshelton565 July - 9 - 2015 ADD COMMENTS

Fundamentals of Computer Organization and Architecture (Wiley Series on Parallel and Distributed Computing)

Fundamentals of Computer Organization and Architecture (Wiley Series on Parallel and Distributed Computing)

This is the first book in the two-volume set offering comprehensive coverage of the field of computer organization and architecture. This book provides complete coverage of the subjects pertaining to introductory courses in computer organization and architecture, including:. Instruction set architecture and design. Assembly language programming. Computer arithmetic. Processing unit design. Memory system design. Input-output design and organization. Pipelining design techniques. Reduced Instructi

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Posted by gildenshelton565 May - 13 - 2015 ADD COMMENTS


Washington, D.C., (PRWEB) October 29, 2014

The Big Data and Enterprise Architecture Conference, to be held by the non-profit Data Management Forum on November 19-21, 2014, in Washington, D.C., is a premier event that shows how breakthroughs in Big Data, Data Warehousing methods, tools and approaches are shaping enterprise architecture within major corporations, governments and businesses on a world-wide basis, while citing from practical applications developed in various industries. It will describe how Big Data—and unstructured data in particular—will vastly influence the Data Management world over the next few years.

Speakers involved with DAMA, NASA, IBM, National Science Foundation, DARPA, National Institutes of Health, Dept. of Defense and White House Presidential Initiative on BIG DATA Research and Development and similar organizations dealing with Big Data issues will discuss some of the most successful programs that promise to greatly improve the tools and techniques needed to access, organize, and glean discoveries from huge volumes of digital data. Such programs hold the promise to solve the Nation’s most pressing challenges using Big Data Technologies in Education; Science; Defense/Intelligence; Biomedical Research; Computing; Energy; and in many more major arenas.

On Friday, the main seminar day, The 2014 Data Warehouse and Enterprise Architecture conference speaker list showcases topics in big data, analytics, enterprise architecture and data warehousing. Bill Inmon, the “Father of Data Warehousing” will present the keynote address, concerning the role of unstructured data in the big data world. Bill describes how some important innovative architectural features are intertwined – the life cycle of data, the need to connect unstructured data with structured data, the need to tightly couple metadata with the warehouse itself, the need for an enterprise metadata repository – all these features are vitally important for the next generation of data warehousing – and all are important to accommodate the needs for big data and analytics.

As an example of the power of NoSQL DB s in handling ANY kind of data—BIG or small—Mr. Norman T. Kutemperor (who has been called the “Father of NoSQL”), of Scientel will present an enhanced Enterprise Content Management & Search (ECMS) solution based on Scientel’s Gensonix NoSQL DB for structured and unstructured Big Data. ECMS can store, organize, and access at many levels virtually any kind of digitized data that an organization wants to track cost-effectively.

It will also focus on how its Gensonix NoSQL DB stores structured/unstructured data in Relational, Network, and Document formats, and is ideal for business, scientific, medical, etc., environments, as well as raw data analysis applications.

Other primary aspects will also be described, such as: Gensonix utilizes the NSQL® language; is native to low level languages such as C; supports many intrinsic functions; and performs easy recursive database/computing operations. Supporting multi-dimensional array processing, Gensonix is capable of very efficient analysis of vast amounts of structured and unstructured data at ultrahigh speeds. Gensonix also runs on Large Data Warehouse Appliance configurations and scales to large numbers of multiprocessor nodes.

Brief example case studies to be presented will show how: (a) Gensonix is faster and more economical in both development and production environments; (b) Gensonix can tackle complex problems that are difficult or nearly impossible with certain other types of database solutions; (c) Gensonix fully processes Trillion-record level large data tables without the use of table joins; (d) Scientel’s Gensonix-based ECMS can perform comprehensive, Enterprise-wide, cost-effective, management of ALL digitized data—“Big” or not.; (e) Gensonix can handle Big Data transactional data at speeds in excess of 1 Million transactions/minute, with R&D focusing on speeds much larger on LDWA equipment.

About Scientel Information Technology, Inc.

Scientel Information Technology, Inc. is a U.S.-based, international, systems technology company, operational since 1977. Scientel also designs/produces highly optimized high end servers, which can be bundled with its “GENSONIX® ENTERPRISE” DBMS software, as a single-source supplier of complete systems for Big Data environments. Scientel also customizes hardware and software for specific applications resulting in higher performance

.

Scientel’s specialty is advanced NoSQL DBMS design and applications/systems integration for advanced business processes. This includes applications for Big Data, commercial intranets, Supply Chain management, IT consulting, support, etc., along with “beyond mainframe-level” Large Data Warehouse Appliance hardware/systems.

GENSONIX® allows very user-friendly data manipulation capabilities found in standard, SQL-based, database management systems, but it goes beyond. It is truly an “ALL-in-One SQL” — an “All Data Management System” in the form of an ultra-flexible, NoSQL DBMS of perfectly general capabilities and application potentials. It can also function in concert with mainline SQL systems to efficiently handle both structured and unstructured data as a large data warehouse repository. However, it can handle heavy database loads by itself with the aid of the GENSONIX® NSQL©™ query/procedural language. GENSONIX® supports both telnet as well as http interfaces. GENSONIX® is capable of handling trillions of rows/transactions for billions of customers, which is a huge advantage in “truly Big Data” structured applications.

Business customers can take advantage of Scientel’s capabilities in advanced Business Intelligence and Data Analytics to grow their business by handling Big Data more cost-effectively and with greater insights to remain competitive. Scientific, government, and similar organizations can use these capabilities to efficiently process Big Data, instead of being swamped by it. And, Scientel’s Enterprise Content Management & Search solutions can vastly simplify storage, access, and management of any kind of digitized data for any size organization.







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Posted by mod198 May - 1 - 2015 1 COMMENT

Cloud architectures, big data, enterprise mobility: all are creating huge opportunities for business innovation – as well as significant challenges for the network. In this interview, MeetTheBoss…
Video Rating: 1 / 5

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Posted by gildenshelton565 April - 9 - 2015 ADD COMMENTS


New York, NY (PRWEB) December 08, 2014

The rise of big data has brought an avalanche of information into the enterprise and increased the demand for real time analysis and insights to support business goals and identify avenues for growth. In tandem, the rapid development of enabling technologies are continuing to push the boundaries of bigger, better, and faster.

In his executive keynote at the upcoming Business Intelligence Leadership Summit, Joe Caserta, president of consulting and technology innovation firm Caserta Concepts, looks at business intelligence trends and addresses the role of existing and emerging technologies in big data analytics. The conference takes place in New York City on Wednesday, December 10 from 9am – 6 pm at the Hilton Midtown Hotel.

“In his role as president of one of the top big data analytics firm, Joe Caserta brings a real-world perspective to business needs and technology trends,” said Wayne Eckerson. “Our goal for the summit is to foster discussion among the many business and IT leaders present at the event and Joe plays an important role in achieving that.”

Joe’s Executive Keynote, “Architecting for Big Data: Trends, Tips, and Deployment Options,” addresses what is needed to effectively leverage enterprise data, and assesses the BI and data management tools necessary in a big data environment.

The daylong Summit opens with remarks by Wayne Eckerson, principal consultant at the Eckerson Group, examining the role of Hadoop in big data. In addition to Joe Caserta, presentations by other industry leaders and analyst firms take a look at big data analytics, the related technologies of Hadoop and NoSQL, and the overall performance and scalability needs of data-intensive applications dominating today’s workplace.

For registration information or to learn more, go to the BI Leadership Summit

About Caserta Concepts:

Caserta Concepts is a New York-based award-winning technology innovation-consulting firm specializing in big data analytics, data warehousing and business intelligence. With a worldwide network of professionals, Caserta Concepts collaborates with CIOs and their IT organizations to help them gain new business insights by maximizing data value. The company was founded in 2001 by internationally recognized data warehouse authority and author, Joe Caserta, and was recently selected one of 2014’s 20 Most Powerful Big Data Solution Providers.

For more information, please visit Caserta Concepts

Connect with Caserta Concepts on Twitter (@casertaconcepts) and Joe at LinkedIn

You can also follow Joe Caserta on Twitter at @joe_caserta.







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Posted by BlairMABEL25 February - 17 - 2015 ADD COMMENTS

Hadoop applications are software frameworks that enable distributed manipulation of large amount of data. Using this framework for data distribution is a reliable, efficient and scalable way. Hadoop system is reliable proves from the fact that it maintains several copies of working data to ensure that processing can be redistributed around failed nodes and work can be performed without any difficulty. As far as efficiency of the system is concerned, it works on the principle of parallelization that allows data to process in parallel to increase the processing speed. Furthermore, it is confirmed that Hadoop applications are scalable. Due to this reason it permits operations on petabytes of data. Now you must be thinking that this system is offering so many benefits, it would be costly. But you would be surprised to know that this application is inexpensive and is available for use by anyone.

If you want to understand the system and it functions more closely, it is important that you understand the Hadoop architecture. In simple language, it is a framework which works in combination with several elements. To start with, the first element is the Hadoop distributed file system (HDFS). As the name suggest it is a file system, so its function is the storage of various files across storage nodes in a Hadoop cluster. This file system lies at the bottom, above which Map reduce engine resides. Now in the Map reduce engine there are two main components – Job Trackers and Task Trackers. For the external client, HDFS appears to be a traditional hierarchical file system, which comprises of Meta data (also called NameNode) and several data nodes. Here files can be created, deleted, moved, renamed and so on.

In the Hadoop architecture, files are stored in HDFS which are divided into blocks and these blocks are replicated to multiple data nodes (computers). In comparison to the traditional RAID architectures, there is a huge difference in HDFS. Here all the operations are controlled by the NameNode. The protocol used for all the communications within HDFS is TCP/IP protocol. If you are interested in knowing about the major use of Hadoop applications then you must be thrilled to know that this technology is used primarily for web search. One of the most interesting aspects of this application is the Map and Reduce process, which is inspired by Google’s development. Using this system, the user can easily identify the data from the defined search parameters.

On the whole, it seems to be a very useful application which is meant for everyone.

Author has 3 years experience in Internet Marketing.Know about Mapreduce information about Hadoop applications and Hadoop architecture.

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Posted by BlairMABEL25 February - 7 - 2015 ADD COMMENTS


Washington, D.C., November 21,2014 (PRWEB) November 25, 2014

The Big Data and Enterprise Architecture Conference was held by the non-profit Data Management Forum on November 19-21, 2014, in Washington, D.C. This was a premier event that showed how breakthroughs in Big Data, Data Warehousing methods, tools and approaches are shaping enterprise architecture within major corporations, governments and businesses on a world-wide basis, while citing from practical applications developed in various industries. It described how Big Data—and unstructured data in particular—will vastly influence the Data Management world over the next few years.

Speakers involved with DAMA, NASA-Jet Propulsion Lab, IBM, National Science Foundation, and similar organizations dealing with Big Data issues discussed some of the most successful programs that will greatly improve the tools and techniques needed to access, organize, and glean discoveries from huge volumes of digital data. Such programs hold the promise to solve the Nation’s most pressing challenges using Big Data Technologies in Education; Science; Defense/Intelligence; Biomedical Research; Computing; Energy; and in many more major arenas.

On Friday, the main seminar day, The 2014 Data Warehouse and Enterprise Architecture conference agenda listed showcase topics in Big Data, Analytics, Enterprise Architecture and Data Warehousing. Bill Inmon, the “Father of Data Warehousing”, presented the keynote address, concerning the role of unstructured data in the big data world. Bill described how some important innovative architectural features are intertwined – the life cycle of data, the need to connect unstructured data with structured data, the need to tightly couple metadata with the warehouse itself, the need for an enterprise metadata repository – all these features are vitally important for the next generation of data warehousing – and all are important to accommodate the needs for Big Data and Analytics.

As an example of the power of NoSQL DB in handling ANY type of Big Data, Mr. Norman T. Kutemperor (who has been called the “Father of NoSQL”), of Scientel also presented an enhanced Enterprise Content Management & Search (ECMS) solution based on Scientel’s Gensonix NoSQL DB for the varieties of unstructured Big Data. ECMS can store, organize, and access at many levels virtually any kind of digitized data that an organization wants to track cost-effectively.

Scientel’s presentation also focused on how its Gensonix NoSQL DB –a “polymorphic” DB — stores structured/unstructured data in Relational, Network, and Document formats, and is ideal for business, scientific, medical, etc., environments, as well as raw data analysis applications.

Polymorphism is the ability of an entity to behave like more than 1 of its counterparts given a set of circumstances or criteria; or, the provision of a single interface (a shared boundary across which separate components of a computer system exchange information) to entities of different types. In other words, in a polymorphic DB, you can use a relational approach when that is appropriate, hierarchical when that is, and so on. No one paradigm is fully implemented, but the DB uses enough of the features/capabilities needed to provide a reasonable solution to a problem.

It was noted that Gensonix has 7 main key features: Multi-modeling, Document stores, NSQL Language, SQL queries, Transaction Tables with OLTP, MPP on HPC and Never-Slow technology—ALL in a single DB! This identifies Gensonix as truly a polymorphic DB which allows it to behave like another DB in other instances.

Other primary aspects were also described, such as: Gensonix utilizes the NSQL® language; is native to low level languages such as C; supports many intrinsic functions; and performs easy recursive database/computing operations. Supporting multi-dimensional array processing, Gensonix is capable of very efficient analysis of vast amounts of structured and unstructured data at ultrahigh speeds. Gensonix also runs on Large Data Warehouse Appliance configurations and scales to large numbers of multiprocessor nodes.

Brief example case studies were presented that showed how: (a) Gensonix is faster and more economical in both development and production environments; (b) Gensonix can tackle complex problems that are difficult or nearly impossible with certain other types of database solutions; (c) Gensonix fully processes Trillion-record level large data tables without the use of table joins; (d) Scientel’s Gensonix-based ECMS can perform comprehensive, Enterprise-wide, cost-effective, management of ALL digitized data—“Big” or not.; (e) Gensonix can handle Big Data transactional data at speeds in excess of 2 Million transactions/minute on a single node, with speeds much larger on LDWA equipment.

About Scientel Information Technology, Inc.

Scientel Information Technology, Inc. is a U.S.-based, international, systems technology company, operational since 1977. Scientel also designs/produces highly optimized high end servers, which can be bundled with its “GENSONIX® ENTERPRISE” DBMS software, as a single-source supplier of complete systems for Big Data environments. Scientel also customizes hardware and software for specific applications resulting in higher performance.

Scientel’s specialty is advanced NoSQL DBMS design and applications/systems integration for advanced business processes. This includes applications for Big Data, commercial intranets, Supply Chain management, IT consulting, support, etc., along with “beyond mainframe-level” Large Data Warehouse Appliance hardware/systems.

GENSONIX® allows very user-friendly data manipulation capabilities found in standard, SQL-based, database management systems, but it goes beyond. It is truly an “ALL-in-One SQL” — an “All Data Management System” in the form of an ultra-flexible, NoSQL DBMS of perfectly general capabilities and application potentials. It can also function in concert with mainline SQL systems to efficiently handle both structured and unstructured data as a large data warehouse repository. However, it can handle heavy database loads by itself with the aid of the GENSONIX® NSQL©™ query/procedural language. GENSONIX® supports both telnet as well as http interfaces. GENSONIX® is capable of handling trillions of rows/transactions for billions of customers, which is a huge advantage in “truly Big Data” structured applications.

Business customers can take advantage of Scientel’s capabilities in advanced Business Intelligence and Data Analytics to grow their business by handling Big Data more cost-effectively and with greater insights to remain competitive. Scientific, government, and similar organizations can use these capabilities to efficiently process Big Data, instead of being swamped by it. And, Scientel’s Enterprise Content Management & Search solutions can vastly simplify storage, access, and management of any kind of digitized data for any size organization.







Find More Big Data Technology Press Releases

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Posted by jaymepobre748 October - 19 - 2014 ADD COMMENTS

Real-Time Big Data Analytics: Emerging Architecture

Real-Time Big Data Analytics: Emerging Architecture

Five or six years ago, analysts working with big datasets made queries and got the results back overnight. The data world was revolutionized a few years ago when Hadoop and other tools made it possible to getthe results from queries in minutes. But the revolution continues. Analysts now demand sub-second, near real-time query results. Fortunately, we have the tools to deliver them. This report examines tools and technologies that are driving real-time big data analytics.

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