Why Big Data and Hadoop Training Is a Must for Organizations

Business is never been a cake walk and it consists of lots of information, data and other skills. With the technological advancements professionals and learners need to keep themselves updated and match the pace. For an example, sorting and tracking Big Data requires enough skilled man power.

If sources are to be believed, there are institutes which have started offering Big Data and Hadoop Training. Both professionals and newbie learners are looking for these trainings for their career betterment.

This article is about why Big Data and Hadoop Training are important and where one can avail these courses? Well, to start with, Big Data is one terminology that explains a huge volume of data. Big Data is both structured and unstructured data which enter to any business on day to day basis. At the same time, one can easily differentiate the numbers of data they can actually count on. Most important thing is that what the organizations will do with those data.

Companies prefer analyzing those data and get all the insights which can lead them to take the better decisions and accomplish the business moves with the right strategy. Thus Big Data plays an important role for any organization for the development of that particular organization. At the same time, Hadoop is an open source software platform for collecting data and running various applications in bulk for serving hardware.

Hadoop is the one of the efficient sources that offers huge data storage of different kinds of data. This open source platform has the ability of enormous processing authority and has the capability to control limitless synchronized jobs.

Are you looking for Big Data and Hadoop training? Then you have landed on the right article. As per different sources, there are different organizations which have started offering different Hadoop courses for Hadoop Developer, Hadoop Admin and Hadoop Data Analytics. Thus, enrollment can be done according to the preference areas and as per the professional requirements.

All you need to do is just contact the institute and ask for the preferred courses and these short-term strategic professional courses will be just the best in shaping your career graph. Most of these organizations have their own Live Support and Drop a Query form for the sake of communication.

Become a Certified Big Data Practitioner and Learn About the Hadoop Ecosystem

A report by Forbes estimates that big data & Hadoop market is growing at a CAGR of 42.1% from 2015 and it will touch the mark of $99.31 billion by 2022. Another report from Mckinsey estimates a shortage of some 1.5 million big data experts by 2018. The findings of both the reports clearly suggest that market for big data analytics is growing worldwide at a massive rate and this trend looks to benefit IT professionals in a big way. After all, a big data hadoop certification is about gaining in-depth knowledge of the big data framework and becoming familiar with the Hadoop ecosystem.

More so, the objective of the training is to learn the use of Hadoop and Spark, together with gaining familiarity with HDFS, YARN and MapReduce. The participants learn to process and analyze big datasets, and also gain information in regard to data ingestion with the use of Sqoop and Flume. The training will offer the knowledge and mastery of real-time data processing to trainees who can also learn the ways to create, query and transform data forms of any scale. Anyone to the training will be able to master the concepts of Hadoop framework and learn its deployment in any environment.

Similarly, an enrollment in big data Hadoop training will help IT professionals learn different major components of Hadoop ecosystems such as Pig, Hive, Impala, Flume, Sqoop, Apache Spark and Yarn and implement them on projects. They will also learn about the ways to work with HDFS and YARN architecture for storage and resource management. The course is designed to also enrich trainees with the knowledge of MapReduce, its characteristics and its assimilation. The participants can also get to know how to ingest data with the help of Flume and Sqoop and how to create tables and database in Hive and Impala.

What's more, the training teaches about Impala and Hive for portioning purposes and also imparts knowledge about different types of file formats to work with. The trainees can expect to understand all about Flume, including its configurations and then become familiar with HBase and its architecture and data storage. Some of other major aspects to learn in the training include Pig components, Spark applications and RDD in detail. The training is also good for understanding Spark SQL and knowing about various interactive algorithms. All this information will be particularly helpful to those IT professionals planning to move into the big data domain

DevOps Automation for Faster and Continuous Product Release

DevOps

Although the above example is somewhat crude it is a fair assessment of what application development can be like end-to-end. Everyone in the industry knows that this is the 'normal' state of affairs and accept that it is less than perfect. DevOps has begun to appear on the scene as the answer to the traditional silo approach. DevOps attempts to remove the silos and replace them with a collaborative and inclusive activity that is the Project. Application Development and Solution Design benefit from DevOps principles.

What needs to be done to remove silos:

    Change the working culture
    Remove the walls between teams (and you remove the silos)

Keys:

    Communication, Collaboration, Integration and Information Sharing

Easy to say and hard to do.

Most SMEs like to keep their information to themselves. Not true of all but, of many. It's part of the traditional culture that has developed over many years. Working practices have made change difficult. Management of change is one of the most challenging tasks any company can embark on. Resistance will be resilient as it is important that people give up something to gain something. Making it clear what the gains are is imperative. People will change their attitudes and behaviours but, you have to give them really good reasons to do so. I've found that running multi-discipline workshops for the SMEs has proven an effective method of encouraging information-sharing and the breaking down of those 'pit-walls'.

Explaining to the teams what DevOps is and what it is supposed to achieve is the first part of the educational process. The second is what needs to be done.

State specific, measurable objectives:

    Implement an organization structure that is 'flat'. If we espouse horizontal scaling, why not horizontal organizations?
    Each App-Dev or Solution-Dev is a project and the team is end-to-end across the disciplines
    Implement ongoing informational exchange and reviews
    Make sure that everyone signs up to DevOps and understands the paradigm

What is DevOps

Just like the Cloud paradigm it is simply another way of doing something. Like Cloud it has different definitions depending on to whom you are speaking at the time.

Wikipedia states: Because DevOps is a cultural shift and collaboration between development and operations, there is no single DevOps tool, rather a set or "toolchain" consisting of multiple tools. Generally, DevOps tools fit into one or more categories, which is reflective of the software development and delivery process.

I don't think that this is all DevOps is. The inference is that DevOps is concerned only with application development and operations. I do not believe that. I believe that DevOps is a paradigm and that like other IT 'standards' and paradigms it is relevant to all IT and not just applications. By removing the partitions between each practice in the chain and having all the key players involved from day one, as part of an inclusive and collaborative team, the cycle of application development and solution design becomes a continuous process that doesn't have to divert to consult each required expert. No-one needs to throw a document over the wall to the next crew. Each document is written within the collaboration process and this has to make the document more relevant and powerful. Imagine that the project team is always in the same room from concept to deployment and each expert is always available to comment on and add to each step of that project. How much better than the traditional method where it can take days to get an answer to a simple question, or to even find the right person to ask.

The mantra is: Develop, Test, Deploy, Monitor, Feedback and so on. This sounds application-orientated. In fact, it can apply to the development of any IT solution. Like ITIL, TOGAF and the Seven Layer Reference Model it can be applied to any and all IT activities from development right through to support services. DevOps puts us all on the same page from the start to the finish.