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Post Tagged with: Big Data Analyst

Be Smart With Big Data

Be Smart With Big Data

smart dataSome companies get scared of big data. They think that since data is inherently dumb, a lot of it would be dumber still. But by being smart about big data, analysts can make sure that they get the most out of it. Handling big data can be a security risk and needs to be handled smartly.

The Present Way of Doing Things

Usually companies have one of three ways to handle data. They either go with the Heroic Model in which individuals take charge of requests and make decisions on their own without consulting with others. This model can work well for small businesses where individuals are usually aware of most situations across all areas of the business. But in bigger businesses, it can lead to confusion and chaos.

The Culture of Discipline on the other hand is one where individuals don’t make any decisions and follow a set of rules set by the management. Employees in this model can’t use data for their own decision making and just have to follow the processes set up for them.

The best way to handle data is to have a Data Smart Model in which data is managed on an evidence based management system. It is a combination of the first two methods and it works on a disciplined processing method but decision making is allowed at the individual level. This is the method that should be used to handle big data and it can result in smooth operation without much hassles.

How to Cultivate the Data Smart Culture

Certain steps need to be taken to create the data smart culture.

  • There should be a single source of truth. Decision making can be moved to the employee level but the guiding principles should be set from a single source.
  • Use ways to keep track of progress. Using a scorecard system, even on a daily basis, can help managers across different branches know how they are performing in relation to the other departments and they can then send in better data to record their progress.
  • Rules are important but there should be enough flexibility. Rules and guiding principles are needed but there should be flexibility to know when to bend the rules and when to break them. Sometimes what works in most parts of the country might not be best for a certain area. Businesses need to be able to adapt to such situations and change their rules accordingly.
  • Work on cultivating human resources. The people are the biggest asset of a company and it is important to educate them and provide them with the proper know-how to handle data. Managers need to be trained to educate the people working under them and give them a one to one engagement.

These steps can help businesses handle big data smartly and without much confusion. Every level needs to be trained to handle big data as the future is going to be all about big data.

The Demand for Hadoop & NoSQL Skills Goes Up

The Demand for Hadoop & NoSQL Skills Goes Up

Every since organizations have begun using Big Data to their advantage, a demand for data analytic specialists or Data scientists has grown manifold. Increase in demand for big data experts means an automatic increase in demand for experts with Hadoop and NoSQL skills.

A rise in big data has compelled companies and organizations both big and small to desperately start looking out of IT professionals who can help them in maintaining and monitoring their database for them.

Big data market is still in very early phase, it has a long way to go, but businesses have realized that there is no future if they do not manage this large data adequately. Therefore, a demand for database management skills has increased to many industries beyond web and software, where it started. Today industries like retail, healthcare and even government are seeking professionals with skills to manage and analyze the large data sets for them.

The Demand Hadoop & NoSQL Skills Goes Up

When we talk about big data experts, one of the most desired skills is NoSQL and Hadoop knowledge. An individual cannot be a data expert without thorough knowledge of Hadoop and NoSQL. Data experts have become a professional really in demand, and knowledge of Hadoop and NoSQL adds to the prowess of an individual who can earn highly competitive salaries with data expertise.

Thanks to the companies like Amazon, Apple etc that are looking for big data experts, there has been a significant jump in salaries of data experts and the profession has suddenly become a dream job for many.

Some careers that need NoSQL and Hadoop skills

Some of the careers where NoSQL and Hadoop skills are being put to good use include:

Data Scientist: Data scientist or big data analytic specialist is a profession that requires a person to have a variety of data driven skills. Data scientists gather, analyze, present, and predict the data. Currently given the size of data ever increasing, data scientists are highly in demand.

Data Architect: Data architects are professionals who create data models, analyze data and assist in data warehousing and migration. To be a Data architect an individual required DBA and Hadoop skills.

DBA: DBA or Database Administrator is a career that is massively in demand lately. Companies that hire DBAs look for professionals with skill sets to handle platforms like Oracle, MongoDB etc. The more familiar an individual is with the NoSQL and Hadoop skills the better package he/she can seek.