10 Reasons Why Big Data Analytics is the Best Career Move

Big Data is everywhere and there is almost an urgent need to collect and preserve whatever data is being generated, for the fear of missing out on something important. There is a huge amount of data floating around. What we do with it is all that matters right now. This is why Big Data Analytics is in the frontiers of IT. Big Data Analytics has become crucial as it aids in improving business, decision makings and providing the biggest edge over the competitors. This applies for organizations as well as professionals in the Analytics domain. For professionals, who are skilled in Big Data Analytics, there is an ocean of opportunities out there

Big Data is everywhere and there is almost an urgent need to collect and preserve whatever data is being generated, for the fear of missing out on something important. There is a huge amount of data floating around. What we do with it is all that matters right now. This is why Big Data Analytics is in the frontiers of IT. Big Data Analytics has become crucial as it aids in improving business, decision makings and providing the biggest edge over the competitors. This applies for organizations as well as professionals in the Analytics domain. For professionals, who are skilled in Big Data Analytics, there is an ocean of opportunities out there.

Why Big Data Analytics is the Best Career move

If you are still not convinced by the fact that Big Data Analytics is one of the hottest skills, here are 10 more reasons for you to see the big picture.

1. Soaring Demand for Analytics Professionals:

Jeanne Harris, senior executive at Accenture Institute for High Performance, has stressed the significance of analytics professionals by saying, “…data is useless without the skill to analyze it.” There are more job opportunities in Big Data management and Analytics than there were last year and many IT professionals are prepared to invest time and money for the training.

2. Huge Job Opportunities & Meeting the Skill Gap:

The demand for Analytics skill is going up steadily but there is a huge deficit on the supply side. This is happening globally and is not restricted to any part of geography. In spite of Big Data Analytics being a ‘Hot’ job, there is still a large number of unfilled jobs across the globe due to shortage of required skill. A McKinsey Global Institute study states that the US will face a shortage of about 190,000 data scientists and 1.5 million managers and analysts who can understand and make decisions using Big Data by 2018.

3. Salary Aspects:

Strong demand for Data Analytics skills is boosting the wages for qualified professionals and making Big Data pay big bucks for the right skill. This phenomenon is being seen globally where countries like Australia and the U.K are witnessing this ‘Moolah Marathon’.

According to the 2016 Skills and Salary Survey Report published by the Institute of Analytics Professionals of Australia (IAPA), the annual median salary for data analysts is $130,000, up four per cent from last year.

4. Big Data Analytics: A Top Priority in a lot of Organizations

According to the ‘Peer Research – Big Data Analytics’ survey, it was concluded that Big Data Analytics is one of the top priorities of the organizations participating in the survey as they believe that  it improves the performances of their organizations.

Big Data Analytics - A Top Priority in Organizations

Based on the responses, it was found that approximately 45% of the surveyed believe that Big Data analytics will enable much more precise business insights, 38% are looking to use Analytics to recognize sales and market opportunities. More than 60% of the respondents are depending on Big Data Analytics to  boost the organization’s social media marketing abilities. The QuinStreet research based on their survey also back the fact that Analytics is the need of the hour, where 77% of the respondents consider Big Data Analytics a top priority.

A survey by Deloitte, Technology in the Mid-Market; Perspectives and Priorities, reports that executives clearly see the value of analytics. Based on the survey, 65.2% of respondents are using some form of analytics that is helping their business needs. The image below clearly depicts their attitude and belief towards Big Data Analytics.

Big Data Analytics - A Top Priority in Organizations

5. Adoption of Big Data Analytics is Growing:

New technologies are now making it easier to perform increasingly sophisticated data analytics on a very large and diverse datasets. This is evident as the report from The Data Warehousing Institute (TDWI) shows. According to this report, more than a third of the respondents are currently using some form of advanced analytics on Big Data,  for Business Intelligence, Predictive Analytics and Data Mining tasks.

With Big Data Analytics providing an edge over the competition, the rate of implementation of the necessary Analytics tools has increased exponentially. In fact, most of the respondents of the  ‘Peer Research – Big Data Analytics’ survey reported that they already have a strategy setup for dealing with Big Data Analytics. And those who are yet to come up with a strategy are also in the process of planning for it.

Formal Strategy for Big Data AnalyticsWhen it comes to Big Data Analytics tools, the adoption of Apache Hadoop framework continues to be the popular choice. There are various commercial and open-source frameworks to choose from and organizations are making the appropriate choice based on their requirement. Over half of the respondents have already deployed or are currently implementing a Hadoop distribution. Out of them, a quarter of the respondents have deployed open-source framework, which is twice the number of organizations that have deployed a commercial distribution of the Hadoop framework.

Adoption of Big Data Analytics Tools

6. Analytics: A Key Factor in Decision Making

Analytics is a key competitive resource for many companies. There is no doubt about that. According to the ‘Analytics Advantage’ survey overseen by Tom Davenport, ninety six percent of respondents feel that analytics will become more important to their organizations in the next three years. This is because there is a huge amount of data that is not being used and at this point, only rudimentary analytics is being done. About forty nine percent of the respondents strongly believe that analytics is a key factor in better decision-making capabilities. Another sixteen percent like it for its superior key strategic initiatives.

Even though there is a fight for the title of ‘Greatest Benefit of Big Data Analytics’, one thing is undeniable and stands out the most: Analytics play an important role in driving business strategy and making effective business decisions.

Key Benefits of Big Data Analytics

Seventy Four percent of the respondents of the ‘Peer-Research Big Data Analytics Survey’ have agreed that Big Data Analytics is adding value to their organization and allows vital information for making timely and effective business decisions of great importance. This is a clear indicator than Big Data Analytics is here to stay and a career in it is the wisest decision one can make.

7. The Rise of Unstructured and Semistructured Data Analytics:

The ‘Peer Research – Big Data Analytics’ survey clearly reports that there is a huge growth when it comes to unstructured and semistructured data analytics. Eighty four percent of the respondents have mentioned that the organization they work for are currently processing and analyzing unstructured data sources, including weblogs, social media, e-mail, photos, and video. The remaining respondents have indicated that steps are being taken to implement them in the next 12 to 18 months.

Rise of Unstructured Data

8. Big Data Analytics is Used Everywhere!

It is a given that there is a huge demand for Big Data Analytics owing to its awesome features. The tremendous growth is also due to the varied domain across which Analytics is being utilized. The image below depicts the job opportunities across various domains.

Big Data Analytics Across Domains

9. Surpassing Market Forecast / Predictions for Big Data Analytics:

Big Data Analytics has  topped a survey carried out by Nimbus Ninety, as the most disruptive technologies that will have the biggest influence in three years’ time. Added to this, there are more market forecasts that support this:

  • According to IDC, the Big Data Analytics market will reach $125 billion worldwide in 2015.

  • IIA states that Big Data Analytics tools will be the first line of defense, combining machine learning, text mining and ontology modeling to provide holistic and integrated security threat prediction, detection, and deterrence and prevention programs.

  • According to the survey ‘The Future of Big Data Analytics – Global Market and Technologies Forecast – 2015-2020’, Big Data Analytics Global Market will grow by 14.4% CAGR over this period.

  • The Big Data Analytics Global Market for Apps and Analytics Technology will grow by 28.2% CAGR, for  Cloud Technology will grow by 16.1% CAGR, for Computing Technology will grow by 7.1% CAGR, for NoSQL Technology will grow by 18.9% CAGR  over the entire 2015-2020 period.

10. Numerous Choices in Job Titles and Type of Analytics :

From a career point of view, there are so many option available, in terms of domain as well as nature of job. Since Analytics is utilized in varied fields, there are numerous job titles for one to choose from.

  • Big Data Analytics Business Consultant

  • Big Data Analytics Architect

  • Big Data Engineer

  • Big Data Solution Architect

  • Big Data Analyst

  • Analytics Associate

  • Business Intelligence and Analytics Consultant

  • Metrics and Analytics Specialist

Big Data Analytics career is deep and one can choose from the 3 types of data analytics depending on the Big Data environment.

  • Prescriptive Analytics

  • Predictive Analytics

  • Descriptive Analytics.

A huge array of organizations like Ayata, IBM, Alteryx, Teradata, TIBCO, Microsoft, Platfora, ITrend, Karmasphere, Oracle, Opera, Datameer, Pentaho, Centrofuge, FICO, Domo, Quid, Saffron, Jaspersoft, GoodData, Bluefin Labs, Tracx, Panaroma Software, and countless more are utilizing Big Data Analytics for their business needs and a huge job opportunities are possible with them


Difference Between Data Scientist and Data Analyst

Jobs related to Data Science have topped the charts in job portals. There are job openings for various job titles like Data Scientists, Data Analysts, and Data Engineers. Though all these job titles deal with data and sound similar, they do have a number of detailed differences.  Ever wondered how different they are from each other? I did! And here are the differences I found between a Data Scientist and a Data Analyst.

Data Scientist – Rock Star of IT

A Data Scientist is a professional who understands data from a business point of view. He is in charge of making predictions to help businesses take accurate decisions. Data scientists come with a solid foundation of computer applications, modeling, statistics and math. What sets them apart is their brilliance in business coupled with great communication skills, to deal with both business and IT leaders. They are efficient in picking the right problems, which will add value to the organization after resolving it.

Harvard Business Review has named ‘Data scientist’ as the “sexiest job of the 21st century. Up-skill with Data Science now to take advantage of the career opportunities that come your way.

 

A Data Scientist can also be divided into 4 different roles based on their skill sets.

  • Data Researcher
  • Data Developers
  • Data Creatives
  • Data Businesspeople

Data Analysts – No Cool Tag Yet!

Data Analysts also plays a major role in Data Science. They perform a variety of tasks related to collecting, organizing data and obtaining statistical information out of them.  They are also responsible to present the data in the form of charts, graphs and tables and use the same to build relational databases for organizations.

A Data Analyst can also be divided into 4 different roles based on their skill sets.

  • Data Architects
  • Database Administrators
  • Analytics Engineer
  • Operations

Qualification Required for Data Scientists and Data Analysts

Qualification and Knowledge required for both Data Scientist and Data Analyst

Jobs Trends of Data Scientist and Data Analytics – As per Google Trends

Here is the trend for Data Analysts jobs as per google :

Job Trends for Data Analyst

Here is the trend for Data Scientists jobs as per google with the trend picking up mostly from 2012:

datasc

 


Oracle Triggers an Avalanche of 24 Cloud Services to Compete with Amazon

oraclecloud 300x168 Oracle Triggers an Avalanche of 24 Cloud Services to Compete with AmazonThe Cloud represents a market where Oracle wants to win. The 24 services launched by the database leader include all the tools companies need to conduct their operations in the cloud and thus should help customers make the move to the cloud.

Oracle Cloud Platform was enriched by nearly 24 new services for developers, IT professionals, end users and analysts to achieve, to expand and more easily integrate cloud applications. They are Oracle Database Cloud – Exadata Service, Oracle Archive Storage Cloud Service, Oracle Big Data Cloud Service and Big Data SQL Cloud Service, Oracle Integration Cloud Service, Oracle Mobile Cloud Service and Oracle Process Cloud Service.

With the new services launched, companies can move all their applications hosted in the data center to the cloud Oracle. Oracle now claims to be the only cloud provider to offer a full range of enterprise software services, platform services and infrastructure services under the banner Oracle Cloud Platform. Compared to Oracle, cloud providers have chosen to focus on certain services: Salesforce.com has specialized in software and services Amazon has essentially focused its activity on infrastructure services.

The provider has also launched several integrated cloud services that must allow companies to move their operations to the cloud, including a service to develop and execute mobile applications directly from the Oracle cloud and an integration service which allows them to combine multiple enterprise applications into complete systems.

Oracle now offers online services for enterprise resource planning, managing the customer experience, management of human resources, management of business performance, and management services supply chain. The aim of these new offerings is to make Oracle a single window for all the cloud computing needs.

Oracle Databases deployed in the cloud as part of this service is 100% compatible with those deployed on-premises, thereby enabling a smooth migration to the cloud and seamless transition to a hybrid cloud strategy. The Oracle Big Data Service Cloud and Big Data SQL Cloud Service is a secure and efficient platform to run various loads on Hadoop and NoSQL databases and to help companies collect and organize their big data.

Oracle Mobile Cloud Service offers a set of Android applications development tools or iOS operating entirely in the cloud. The developer can use Mobile Cloud to build a user interface or to configure an API for data exchange. All development will be done entirely through a browser, so it is not necessary to install software on the desktop machine to each developer.

Developers can use their favorite languages ​​or go through the Mobile Application Framework Oracle framework. The service also includes a software development kit (SDK) that allows developers to follow their application, for example to know who uses it and how it is used.

The company also launched a service called Oracle Integration Cloud Service, which allows companies to work together their different enterprise applications and cloud services. Finally, Oracle has updated Business Intelligence Cloud Service, in particular by equipping it with new data visualization tools.

Oracle wants to clearly position themselves to Amazon, its main competitor, which also offers various solutions in the cloud. To attract customers, the company also said that the group is ready to compete with Amazon on price. Oracle claims 70 million users in the cloud. The services offered by Oracle are from 19 data centers spread across the planet, which manage 700 PB of data.