B.Tech Winter Internship – How to Prepare

Many B.Tech students find themselves having to work through their Winter break in order to earn enough money to pay for next semester’s classes. Other students work during the Winter mainly to gain relevant job experience that will help them land a high paying career after graduating from college.

One option that many students use both to earn a steady paycheck to pay for B.Tech tuition and to gain job experience is to work a B.Tech Winter internship. A B.Tech Winter internship can be a great way to gain work experience because you will likely be working for a professional in your career field and can learn a great deal from them during the term of your Winter internship college. If you have accepted an Winter internship college in another town, you may be nervous about what to expect and if you will fit in at the new town.

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It can help a great deal to do some research on the town where you will be completing the B.Tech Winter internship. Find out what there is to do in your new town and where people your age hang out. You can find this out from others at your B.Tech internship or by looking online. You can also begin to feel a lot more comfortable in your Winter internship B.Tech town by joining extracurricular groups where you can meet new people and make new friends. You can also make friends with other employers at your B.Tech  Winter internship For B.Tech Student , which can be very beneficial because they can show you the ropes at work and also show you around your new town.

Big data Hadoop Winter Training in Jaipur

Big data Hadoop

Big data Hadoop is an advance technology that is use to produce and store giant data base in petabyte and zettabyte. World top most companies like Google, Facebook, Amazon etc. are using this technology to generate, store, manage and analysis large number of unstructured data. Hadoop is core platform for structuring big amount of data, and it solves the formatting problems. The storage method is known as Hadoop Distribution File system.

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Big data is the huge sets of data base that business to assist specific goals and setups. Big data can comprise many different kinds of data in many different formats. Hadoop is a tool of Big data that is use to handle huge unstructured data amount. It includes various main components, including a MapReduce set of functions and a Hadoop distributed file system (HDFS).

Hadoop technology is an open source framework coded in java. Software applications developed on Hadoop technology are run on gigantic data or information sets distributed across clusters. MapReduce is an operational model and application software framework for programming applications for Hadoop. MapReduce algorithm is capable to process applications and simultaneously run on different system.

Advantage of Big data Hadoop Technology:

  • Capable to store enormous data of any kind of data.
  • Highly Scalable
  • Fault tolerance
  • flexible
  • Cost Effective
  • Better Operational Efficiency

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Big data Hadoop Training

LinuxWorld Informatics Pvt. Ltd. is providing training on Big data Hadoop technology for all computer science students. Big data Hadoop certification is good option for both Fresher and experienced to get awesome career prospects. We providing an opportunity for students to improve their technical skills: Training offers a practical and professional environment where they can develop soft skills. The major advantage of this training is students get to learn from the basic steps of technology, and also work on live project in supervision of our well experienced industrial professionals.

RHCE Winter Training in Jaipur

Red Hat certification

Three important distinct levels namely of Red Hat Certified System Administrator (RHCSA), Red Hat Certified Engineer (RHCE) and Red Hat Certified Architect (RHCA). The Red Hat certifications or more precisely the Red Hat Certified System Administration certification is an Associate/basic level. RHCSA certification is essentially a technical performance measurement test which is proper approach to evaluate the actual proficiency on systems.

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RHCE

The most important and professional/middle level Red Hat Certification is RHCE; this certification program covers basic level and fundamental principle of RHCA.

The course is focus on deploying and managing network servers running caching Domain Name Service (DNS), MariaDB, Apache HTTPD, Postfix SMTP, network file sharing with Network File System (NFS) and Server Message Block (SMB), iSCSI initiators and targets, advanced networking and firewalld configurations, and the use of Bash shell scripting to help automate, configure, and troubleshoot the system. Through lectures and hands-on labs, students who have already earned the RHCSA certification will be exposed to all competencies covered by the Red Hat Certified Engineer (RHCE) exam.

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RHCE certification being a universally recognized advance qualification, RHCE, is well revered and preferred across I.T. industry. The IT professionals have to qualify this certification and shows excellent level of technical skills in managing and troubleshooting Red Hat system. There are some main topics include like package installation, kernel configuration, system services management, network configuration, mail services and virtualization.

Red Hat is most common  version of Linux operating system and a certification from it can help you a lot to obtain competitive job opportunities on core Linux as well as in its other applications. Red Hat training has been developing tremendously over the years; we are providing Red Hat industrial training for all the RHCE certifications under the guidance of our Red Hat Certified  experienced instructor.

CCNA Training in Jaipur

Cisco is a leading brand name in networking certifications. If you want to make good command on networking than CCNA certification is a good option to give kick start and strong stable career. CCNA is starting level course in Cisco networking.  To be successful in this certification, first you have to choose right training center where you can gain technical skills and proper guidance to manage network properly.

CCNA professional main tasks are:1

Installation and Configuration Network

Management

Operation

Trouble Shooting

Maintenance

 

LinuxWorld Informatics Pvt. Ltd. offers CCNA training for all I.T. & C.S.E. branch; this training will help you get hands on experience with practical. The CCNA certification makes you a rock-solid, well-rounded network engineer. The main purpose of this certification is to prepare the trainee at higher level and enables you to achieve your networking certifications goal. After completion this program we will not only provide a certificate, we assure that you will be capable to manage and work on complex networks and able to work with routed and switched networks.

CCNA-training-Multisoftsystems

We cover the all following modules in our training program:

Learn how to Build a Network

Establishing Internet Connectivity

Manage and Handle Network Device Security

Introducing IPv6 Building a Medium-Sized Network

Troubleshooting Basic Connectivity Wide Area Networks

Implementing an EIGRP-Based Solution

Implementing a Scalable OSPF-Based Solution Network Device Management

Bigdata Hadoop Training in Jaipur

Todays, lots of technologies are used to manage large number of database and one of the most successful technologies is Big data Hadoop to create, control and maintain data, because it can analyze, regulate and manipulate data with excellent accuracy. The major benefit of Big data Hadoop is quantity means it can produce and store data in large quantity, store different kind of data, data analysis ability, eliminate redundancy and inconsistency, and capture data with good quality and accuracy.

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Hadoop is open source software platform that has the ability of giant processing storage and has the ability to control database synchronized jobs. Apache Hadoop software is supreme platform for developing gigantic data websites and Bigdata technology is closely connect with huge data base management; we clubbed together both technologies for teaching purpose for computer science engineering students.

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Apache Hadoop is very popular technologies in these days because world most renowned websites like Google, Facebook, Yahoo, Amazon etc. using this technology, it will be also interesting to learn how Bigdata technology combine with Apache Hadoop. Bigdata hadoop is mainly use in Internet searching indexing, medical records, military surveillance, social networking sites, government projects etc…

Big data Hadoop Training

LinuxWorld Informatics Pvt. Ltd. is providing Training in Big data Hadoop. The major advantage of this training from LinuxWorld Informatics Pvt. Ltd. is students get to learn from the basic steps of technology, and also work on live project in supervision of our well experienced industrial professionals. Live project is very important aspect for students because they learn how to solve technical problems.

LinuxWorld Informatics Pvt. Ltd. is providing an opportunity for students to improve their technical skills: Training offers a practical and professional environment where they can develop soft skills.

Article source == http://www.bigdatahadoop.info/bigdata-hadoop-training-in-jaipur/

IBM Strengthens Effort to Support Open Source Spark for Machine Learning

Spark 300x251 IBM Strengthens Effort to Support Open Source Spark for Machine Learning

IBM is providing substantial resources to the Apache Software Foundation’s Spark project to prepare the platform for machine learning tasks, like pattern recognition and classification of objects. The company plans to offer Bluemix Spark as a service and has dedicated 3,500 researchers and developers to assist in its preservation and further development.

In 2009, AMPLab of the University of Berkeley developed the Spark framework that went open source a year later as an Apache project. This framework, which runs on a server cluster, can process data up to 100 times faster than Hadoop MapReduce. Given that the data and analyzes are embedded in the corporate structure and society – from applications to the Internet of Things (IoT) – Spark provides essential advancements in large-scale data processing.

First, it significantly improves the performance of applications dependent data. Then it radically simplifies the development process of intelligence, which are supplied by the data. Specifically, in its effort to accelerate innovation on Spark ecosystem, IBM decided to include Spark in its own platforms of predictive analysis and machine learning.

IBM Watson Health Cloud will use Spark to healthcare providers and researchers as they have access to new health data of the population. At the same time, IBM will make available its SystemML machine learning technology open source. IBM is also collaborating with Databricks in changing Spark capabilities.

IBM will hire more than 3,500 researchers and developers to work on Spark-related projects in more than a dozen laboratories worldwide. The big blue company plans to open a Spark Technology Center in San Francisco for the Data Science and the developer community. IBM will also train Spark to more than one million data scientists and data engineers through partnerships with DataCamp, AMPLab, Galvanize, MetiStream, and Big Data University.

A typical large corporation will have hundreds or thousands of data sets that reside in different databases through their computer system. A data scientist can design an algorithm using to plumb the depths of any database. But is needs 90 working days of scientific data to develop the algorithm. Today, if you want to implement another system, it is a quarter of work to adjust the algorithm so that it works. Spark eliminates that time in half. The spark-based system can access and analyze any database, without development and no additional delay.

Spark has another virtue of ease of use where developers can concentrate on the design of the solution, rather than building an engine from scratch. Spark brings advances in data processing technology on a large scale because it improves the performance of data-dependent applications, radically simplifies the process of developing intelligent solutions and enables a platform capable of unifying all kinds of information on real work schemes.

Many experts consider Spark as the successor to Hadoop, but its adoption remains slow. Spark works very well for machine learning tasks that normally require running large clusters of computers. The latest version of the platform, which recently came out, extends to the machine learning algorithms to run.

SAP’s HANA Vora Query Engine Harnesses Spark, Hadoop for Data Analysis

SAP says its new HANA Vora query engine extends the Apache Spark processing engine to provide the data analytics muscle to pull business insights from all types of big data.

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SAP is introducing a new in-memory query engine called HANA Vora that leverages the Apache Spark open source data processing engine and Hadoop to mine business insights from vast stores of data produced by machines, business transactions and sensors.The name Vora, short for “voracious,” according to the company, reflects the product’s ability to apply big data analytics techniques to enormous quantities of data.”HANA Vora plugs into Apache Spark to bring business data awareness, performance and real-time analytics to the enormous volumes of data that industries of all types will generate just in the next five years,” said Quentin Clark, SAP’s chief technology officer, in a video introducing Vora.Clark cited estimates that global businesses will generate 44 trillion gigabytes of data by 2020. Vora will enable enterprises to merge this vast quantity of new data with existing enterprise data sets to “make meaning out of all that data.”

SAP says its goal with HANA Vora is to relieve much of the complexity and grunt work with Spark and Hadoop to produce meaningful business insights from distributed data sets.

The trick is to put big data analytics in context with an understanding of business processes to pull business insights from the data. That is what SAP says HANA Vora will achieve.Financial services, health care, manufacturing and telecommunications are just a few of the industries where big data analytics can produce significant improvements to business processes, according to SAP.For example, Vora can be used in the telecommunications industry to relieve network congestion by analyzing traffic patterns.  It can also be used to detect anomalies in large volumes of financial transactions that indicate the possibility of fraud.The company plans to release HANA Vora to customers in late September. Also available will be a cloud-based developer edition.SAP’s introduction of Vora is an “interesting strategic and practical move that could pay dividends over time,” said Charles King, principal analyst with Pund-IT.”In essence, Vora is an in-memory query processor that can be used to speed queries of unstructured data in Hadoop/Apache Spark environments, as well as structured information in common enterprise data sources, including SAP HANA. That could be a very attractive proposition to SAP’s large enterprise customers.”The introduction of Vora is fairly timely because “Apache Spark is a very hot topic right now and other vendors, including IBM are making sizable investments” in Spark and Hadoop technology, King noted. SAP is bringing Vora to market at a time when adoption of Spark is still in its early stages and making it work with other SAP technology such as HANA, King noted.SAP also announced application development enhancements to the SAP HANA Cloud Platform that will enable enterprises to speed up the development of a variety of applicationsOne of the enhancements enables enterprises to develop applications that gather and analyze data collected from sensors and industrial control devices connected to the Internet of Things. Services available on this platform include device data connectivity, device management and data synchronization features.SAP also announced new business services running on the HANA cloud platform. These include a new SAP global tax calculation service that is going into limited trial in September. It allows companies to calculate taxes from more than 75 countries around the world.The service supports many tax functions, including withholding taxes, value-added taxes and import/export taxes. The service also keeps pace with changes in tax laws that alter tax calculations.The company also announced a public beta test program for the SAP Hybris-as-a-Service on the HANA Cloud platform. Hybris is a cloud platform for building business services of virtually any kind. The Hybris- as-a-Service platform  is open to independent software vendors, enterprise IT organizations and systems providers to build their own cloud services and market them to customers or other application developers.

Article Source – http://www.eweek.com/cloud/saps-hana-vora-query-engine-harnesses-spark-hadoop-for-data-analysis.html