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Big Data and Education industry – Road less travelled

It’s quite amazing to see how technological and methodological advances with respect to Big Data have revolutionized various walks of life. Engineering, science, technology, entertainment and business have gained a lot from Big Data applications. While training in Big Data will leap your growth, understanding of the unexplored industries is equally essential and education is one big industry!

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Continue reading Big Data and Education industry – Road less travelled

The 4 V’s of Big Data

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In today’s world, Big Data refers to both structured and unstructured volume of data that inundates a business on a daily basis. Over the last decade, companies have built data warehouses and business intelligence systems to secure the data. Many global manufacturers produce huge quantities of data that needs to be analysed for business requirements. An inefficiency to manage this data may hinder the company’s decision-making and eventually reduce efficiency and lead to compliance issues.

With a big data analytics platform and considering 4V’s, manufacturers can achieve producing reports that help in making decisions. Let us see the 4V’s described by the industry analysts as the major elements of big data.

Volume

Big data always has a large volume of data. This is due to the building up of a volume of data from unstructured sources like social media interaction, posting or sharing reviews on the web page, mobile phones, and many more. Whenever a user visits the website using desktop, laptop, smartphones, PDAs, etc. generates the traffic. Also, downloading music and videos from various platforms generates unstructured data. This data can be filtered using analytics tool and extract important metrics that are useful for the business.

Velocity

Velocity refers to the speed at which the data is coming in and how quickly the organizations are analysing and utilizing it. Processing the data using analytics tool can produce the answers to the queries through reports, dashboards, etc. With these results, a company can make suitable decisions that increase the efficiency and achieve customer-relation objectives such as developing applications that cater to the needs.

Variety

Different sources like social media, CRM systems, call center logins, emails, audio and video forms produce varied data. Managing such complex data is a big challenge for companies. However, to manage this big data, analytics tools are used to segregate groups based on sources and data generated. This would avoid mixing of data in the database.  It is important to segregate new and old data coming from varied sources and must be able to make the changes according to customer behaviour.

Veracity

Veracity refers to an uncertainty of data available, which makes it harder for the companies to react quickly and make appropriate solutions. Accuracy is the major issue in such a big data environment. Organizing the data according to groups, value and significance will enable you to have a better strategy to use the data. Avoid mixing to related and unrelated data as this reduce mixed interpretation. To make right decisions, the data must be clean, consistent and consolidated.

Big data give insights about your customer base, views and opinions about your business. However, to solve business problems, the 4V’s – Volume, Velocity, Variety and Veracity must be used to measure the big data that helps in transforming the big data analytics to a profit-based center.

For Big Data Hadoop Training needs, visit:

http://www.zarantech.com/course-list/hadoop. Call  515-309-7846 or email  info@zarantech.com

Attend a Live WEBINAR about Big Data Hadoop Training on June 09, 2016 @8:30 p.m. CST

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Time : Thursday June 09th , 2016 @ 8:30 pm CST

You are most welcome to join our Upcoming batch, details of the same as follows:

Attend a Live Demo Session : Sign up for Hadoop Webinar
Batch Start Date : June 15, 2016 @ 08:30 p.m. CST
For More Information Big Data Hadoop Course Details
Class Schedule Mon-Wed-Fri 08:30 p.m. CST 3 hrs each session

Contact : Ilyas @ 515-978-9788 , Email : ilyas@zarantech.com

Demo by Trainer Srinivas

Attend a Free Live WEBINAR about Hadoop Developer Training on 09-June-16 @8:30 p.m CST. Register Link  – http://goo.gl/I9Ynoq

Hadoop for Big Data: Data processing that changed the game

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After decades of innovations in simplifying our lives, computing hasn’t lost its value and stays an integral source for eliminating complexities. While Data Analytics has been instrumental in smarter perception, processing large volumes of data asked for better approach. This is where Big Data and the subsequent techniques to utilize it come into picture.

What are Big Data and Hadoop?

With digitalization, accessing and creating new data is just a few taps away. Millions of handheld devices are generating trillions of data bytes through social media platforms, CRM systems and other interfaces. Such massive data to capture has been defined as Big Data.

The valuable information retrieved after processing Big Data helps corporates take a huge leap at traditional practices of assuming outcomes. Here the information is closer to accuracy and lets them take critical business decisions.

Hadoop is an expandable operating system with powerful capacity to store and process large data sets in real time. Licensed by Apache, Hadoop is open source and can be exclusively put to use as per an organization’s business needs. The OS gained instant preference for its superlative fetching, mapping and distributing techniques, something missing from traditional RDBMS practices.

While the Traditional approach v Hadoop debate has a lot to define, some significant derivations made are –
Fault tolerant
Hadoop creates copies of data sets before sending to an individual node. In a failure event, the copy can be used instantly as back up. The facility makes Hadoop suitable for indefinite data growth. Traditional databases are highly risky to process large volumes.

Faster Mapping
Hadoop efficiently maps data quickly in a cluster of nodes.  Such stupendous is the effect that it can process terabytes of unstructured data in a few minutes. Don’t even think of traditional techniques doing that!

Highly Scalable
The rise of multiple sources producing real time data every minute encouraged the Hadoop idea. Hadoop lets enterprises access new data sources such as social media platforms and indulge them into processing without any hassle. Thus, accurate and quick business derivations are conceived.

Cost effective
Businesses have confirmed drastic cost reductions with Hadoop replacing traditional RDBMS systems. It supports automatic classification and the ability to store raw data of potential significance in the future. Thus, Ten thousands of pounds v hundreds of pounds is a revolutionary cost advantage from Hadoop.

Hadoop for Big Data as career

With companies aiming high to tap more geography, data is expected to grow with exploding velocity. While Big Data shouldn’t be ignored, the traditional approach v Hadoop comparisons have already hailed the latter as the winner. Directly indicating the tremendous demand for more Big Data consultants, candidates of this age could benefit from a lucrative career choice.

All excited for a career in Big Data?
Look out for an institute backed by proven expertise with Big Data concepts and an attested placement record. Before plunging, a quick high-level view of what are Big Data and Hadoop can help nourish the basics and set the right expectations.
Check for the most reputed ones and choose wisely.

For Big Data Hadoop Training needs, visit:

http://www.zarantech.com/course-list/hadoop. Call  515-978-9036 or email  ilyas@zarantech.com

Attend a Live WEBINAR about Big Data Hadoop Training on May 19, 2016 @8:00 p.m. CST

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Time : Thursday May 19th , 2016 @ 8:00 pm CST

You are most welcome to join our Upcoming batch, details of the same as follows:

Attend a Live Demo Session : Sign up for Hadoop Webinar
Batch Start Date : May 27, 2016 @ 08:00 p.m. CST
For More Information Big Data Hadoop Course Details
Class Schedule Mon-Wed-Fri 08:00 p.m. CST 3 hrs each session

Contact : Ilyas @ 515-978-9788 , Email : ilyas@zarantech.com

Demo by Trainer Sai

Attend a Free Live WEBINAR about Hadoop Developer Training on 19-May-16 @8:00 PM CST. Register Link  – http://goo.gl/I9Ynoq

Attend a Live WEBINAR about Big Data Hadoop Training on 24-Mar-2016 @7:00 PM CST ‪#‎ZaranTech

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Time : Thursday Mar 24th , 2016 @ 7:00 pm CST

You are most welcome to join our Upcoming batch, details of the same is as follows:

Start Date : 02nd Apr, 2016 @ 9:30 am CST
Class Schedule : Sat & Sun 9:30 am CST 3 hrs each session
Attend a Live Demo Session
: Click here to Register

Contact : Ilyas @ 515-978-9788 , Email : ilyas@zarantech.com

Demo Video by Trainer Ravi

Attend a Free Live WEBINAR about Hadoop Developer Training on 24-Mar-16 @7:00 PM CST. Register Link  – http://goo.gl/PwNuAK

Attend a Live WEBINAR about Big Data Hadoop Training on 25-Feb-2016 @8:00 PM CST ‪#‎ZaranTech

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Time : Thursday Feb 25th , 2016 @ 8:00 pm CST

You are most welcome to join our Upcoming batch, details of the same is as follows:

Start Date : 04th Mar, 2016 @ 8:00 pm CST
Class Schedule : Mon, Wed & Fri 8:00 pm CST 3 hrs each session
Attend a Live Demo Session
: Click here to Register

Contact : Ilyas @ 515-978-9788 , Email : ilyas@zarantech.com

Demo Video by Trainer Navin

Attend a Free Live WEBINAR about Hadoop Developer Training on 25-Feb-16 @8:00 PM CST. Register Link  – http://goo.gl/PwNuAK

What is Hadoop good for what it is not?

This article mainly explains about advantages and disadvantages of Hadoop. As the pillar of so many implementations, Hadoop is practically synonymous with big data. Offering dispersed storage, higher scalability, and ultimate performance, many people view this as the standard platform for high volume data infrastructures. To learn more about Hadoop, click on Hadoop Certification.

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 Advantages of Hadoop

The following are the advantages of Hadoop:

  • Scalable: Hadoop is a highly scalable storage platform, because it can store and distribute large volume of data sets across hundreds of economical servers that perform in corresponding. Unlike traditional relational database systems (RDBMS) that can’t measure to route large amounts of data, Hadoop assists businesses to run applications on thousands of nodes involving thousands of terabytes of data.
  • Cost effective: Hadoop allows businesses to simply access new data sources and rap into different types of data (both structured and unstructured) to generate value from that dataset. This means businesses can use Hadoop to develop valuable business visions from data sources such as social media, email conversations.  Hadoop can be used for a wide range of purposes, such as log processing, recommendation systems, data warehousing, and market promotion analysis and fraud detection.
  • Fast: Hadoop’s exclusive storage method is based on a distributed file system that basically ‘maps’ data anywhere it is located on a cluster. The tools for data processing are frequently on the same servers where the data is located, resulting in much faster data processing. If you are working with big sizes of unstructured data, Hadoop is able to capably process terabytes of data in just minutes, and petabytes in hours. To learn more about HDFS, click Big Data Hadoop Certification.
  • Resilient Feature: Fault Tolerance is the significant advantage of using Hadoop. During failure, when data is sent to a specific node, data is replicated to other nodes in the cluster.

 Disadvantages

Here are the disadvantages of Hadoop namely:

  • Security Concerns: Managing multifaceted applications such as Hadoop can be challenging. A simple example can be seen in the Hadoop security model, which is disabled by default due to absolute complexity. If whoever managing the platform lacks of know how to enable it, your data could be at huge risk. Hadoop is also missing encryption at the storage and network levels, which is a major selling point for government agencies and others that prefer to keep their data under wraps.
  • Vulnerable by Nature: Speaking of security, Hadoop makes running it a hazardous suggestion. The framework is written almost entirely in Java, which is one of the most widely used but yet, the controversial programming languages in existence.
  • Not Fit for Small Data: All big data platforms are not suited for small data needs whereas big data is not exclusively made for big businesses. Unfortunately, Hadoop is one of them. The Hadoop Distributed File System (HDFS) lacks the capacity to efficiently support the arbitrary evaluation of small files due to its high capacity design. As a result, it is not recommended for organizations with small quantities of data.
  • Potential Stability Issues: Like all open source software, Hadoop has had its share of problems on stability issues. To avoid these issues, organizations are intensely endorsed to make sure they are running the latest stable version, or run it under a third-party vendor equipped to handle such problems.

To know more about implementation of big data Hadoop, click on Hadoop Big Data Online Course.

For Big Data Hadoop Training needs, visit:

http://www.zarantech.com/course-list/hadoop. Call  515-978-9036 or email  ilyas@zarantech.com

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Attend a Live WEBINAR about Big Data Hadoop Training on 09-Dec-2015 @8:00 PM CST ‪#‎ZaranTech

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Time : Wednesday Dec 09th , 2015 @ 8:00 pm CST

You are most welcome to join our Upcoming batch, details of the same is as follows:

Start Date : 11th Oct, 2015 @ 8:00 pm CST
Class Schedule : Mon, Wed & Fri 8:00 pm CST 3 hrs each session
Attend a Live Demo Session
: Click here to Register

Contact : Ilyas @ 515-978-9788 , Email : ilyas@zarantech.com

Demo Video by Trainer Srinivas

Attend a Free Live WEBINAR about Hadoop Developer Training on 09-Dec-15 @8:00 PM CST. Register Link  – http://goo.gl/PwNuAK

Attend a Live WEBINAR about Big Data Hadoop Training on 14-Oct-2015 @8:30 PM CST ‪#‎ZaranTech

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Time : Wednesday Oct 14th , 2015 @ 8:30 pm CST

You are most welcome to join our Upcoming batch, details of the same is as follows:

Start Date : 16th Oct, 2015 @ 8:30 pm CST
Class Schedule : Mon, Wed & Fri 8:30 pm CST 3 hrs each session
Attend a Live Demo Session
: Click here to Register

Contact : Ilyas @ 515-978-9788 , Email : ilyas@zarantech.com

Demo Video by Trainer Srinivas

Attend a Free Live WEBINAR about Hadoop Developer Training on 14-Oct-15 @8:30 PM CST. Register Link  – http://goo.gl/PwNuAK