Step-up in your Career with Big Data Certifications

Step-up in your Career with Big Data Certifications

Big data holds the potentiality to provide social and economic perks to several businesses worldwide. In the initial years, big data was very helpful for businesses, which can afford the technologies and channels that are helpful to gather and analyze data. But now both small and big business companies are mainly based on big data for intelligent business insights, to analyze data, and to enhance decision-making.

Organizations from all industries contemplate ways of how to use big data in their businesses. Its uses are quite impressive which include enhanced productivity, identify customer requirements, provide competitive perks, and scope for sustainable economic development.

Every industry consists of a massive amount of data, that they don’t know what to do with it. The demand for big data professionals in these industries has increased exponentially because only they can understand the data perfectly and also know what is needed to be done with the available data. And they can extract valuable insights from the data that can be very helpful for the growth and productivity of the organization.

In this article, let’s understand the career in big data and the certifications that will ensure to take your career to the next level.

Career in big data

Business owners are heavily investing in big data professionals to optimize their operations and to handle data traffic. According to a report from U.S. Bureau of Labor Statistics, it is estimated that big data will offer more that 11.5 million new job opportunities by the year 2026. Globally, many individuals are choosing their career path in this field due to its growing demand across several industries.

Let’s have a look at career in big dataand their salaries.

Career in big data Annual Salary Range (Glassdoor)
Data Scientist $105,750-$180,250
Data Analyst $83,750-$142,500
Data Engineer $130,000-$222,000
Data Architect $119,750-$193,500
Business Intelligence Analyst $87,500-$185,500
Data Warehouse Manager $80,000-$160,250
Database Manager $111,250-$186,500
Data Modeler $80,750-$170,000
Database Developer $101,250-$172,750
Database Administrator $79,250-$160,500

Big Data Certifications

If you want to choose a career in big data, you can prove your skills in big data platforms by doing a certification program via learning institutions.

The demand for big data professionals who have done at least a single certification in the field of big data has risen because several hiring interviewers consider the certifications as a benchmark to scrutinize the skills in the process of hiring.

Let’s have a look at the top big data certifications that you should do to step up your career and to gain an edge over the ongoing competition.

Ø  Cloudera certification

Cloudera provides Certified Professional (CCP) Data Engineer certification that gives the registrants the knowledge to build autonomous, reliable, and scalable data pipelines that result in data sets optimized for several workloads. The test requires the registrants to complete the performance-based tasks with sample massive data sets and should first pass the Cloudera Certified Associate (CCA) Data Analyst exam.

This is a very beneficial certification for data scientists who have abilities to build and design production environments. The exam is 4-hours long and has 5 to 10performance-based series of customer issues that require to be solved with the help of the pre-configured Cloudera Enterprise cluster. The registrant is required to earn70 percent or higher to qualify for the exam.

Ø  Microsoft certification

The Microsoft Certified Solutions Expert (MCSE) in Data Management and Analytics puts an emphasis on SQL database administration, leveraging Business Intelligence (BI) data, Machine Learning (ML), and developing enterprise-scale data solutions, in both cloud-related and on-premises environments. Once a person receives the MCSE certificate, they will be eligible for jobs which include:

  • Business Intelligence Analyst
  • Database Designer
  • Database Analyst

Ø  Data Science Council of America (DASCA) certifications

DASCA is an industry-recognized certification body, which provides big data certifications. It certifications are specially designed to meet specific job roles such as market researchers and software engineers. DASCA tests every individual’s ability with the world’s most robust generic data science knowledge framework. The certification programs include a complete range of essential areas of knowledge.

Big Data professionals across 183 countries can register for DASCA certification programs and study from the most advanced Big Data learning material ever. Its certifications are based on the renowned and comprehensive Data Science Body of Knowledge (DASCA-DSBoK™) designed around the seminal Data Science Essential Knowledge Framework (DASCA-EKF™).It offers professional certifications for big data engineers, data analysts, and data scientists. The following are the certifications:

·         Big Data Engineering Certifications

·         Big Data Analytics Certifications

·         Data Scientist Certifications

Ø  Dell EMC Education Services certification

The Dell EMC Education Services provides data Science and Big Data Analytics Certification to evaluate the in-depth knowledge of a person in data analytics. The exam especially lays emphasis on analyzing and exploring data with R, data analytics lifecycle, creating statistical models, choosing accurate data visualization tools, and applying several analytic techniques, Data Science aspects like natural Language Processing (NLP), random forests, logistic regression. There are no specific pre-requisites to enroll in this certification program.

Ø  INFORMS certification

INFORMS provides the Certified Analytics Professional (CAP) credential, which gives end-to-end knowledge of the analytics methods which consists of model building, framing business, analytic issues, deployment, methodology, attaining data, and lifecycle management. There are few prerequisites to get a CAP certification. They are:

  • Three years of experience with master’s in the related field (or)
  • Five years of experience with a bachelor’s in the related field (or)
  • Seven years of experience if the candidate has any degree unrelated to analytics.
  • Must pass Associate Certified Analytics Professional (aCAP) exam before gaining the CAP certification

Ø  Oracle Business Intelligence Certification

Oracle offers business Intelligence (BI) certification across several platforms that include business Intelligence Applications 7 for CRM, Business Intelligence Applications 7 for ERP. This big data certification is meant for those professionals, who work in the Oracle Partner Network. There are no pre-requisites to do this certification. Thiscredentialbestows skills like installing OBIEE, building BI dashboards, BI Server metadata repository, constructing ad-hoc queries, defining security settings, managing and configuring cache files.

Ø  EMC Data Science and Big Data Analytics Certification

The EMC Data Science and Big Data Analytics Certification examine the in-depth knowledge of an individual in data analytics. The exam is mainly meant to focus on analyzing and exploring data with R, data analytics lifecycle, creating statistical models, choosing the right data visualization tools, and applying several analytic techniques, Data Science aspects like natural Language Processing (NLP), random forests, logistic regression. There are no pre-requisites to do this certification program.

Ø  SAS certification

SASprovidesmultiple data science certifications that are mainly focused on SAS products. One among them is SAS Certified Big Data Professional Using SAS 9 offers registrants insights into Big Data with the help of a variety of open-source tools and SAS Data Management tools. They will be using intricate ML models to create business recommendations for deploying the models at scale with the help of a robust and flexible SAS environment. To attain a SAS Certified Big Data Professional Using SAS 9the applicant has required to pass all 5 exams that consist of short-answer, interactive questions, and a mix of multiple-choice. These are the following five exams:

·         SAS Certified Big Data Professional:

  1. SAS Big Data Programming and Loading
  2. SAS Big Data Preparation, Statistics and Visual Exploration

·         SAS Certified Advanced Analytics Professional:

  1. SAS Advanced Predictive Modeling
  2. Predictive Modeling Using SAS Enterprise Miner 7, 13, or 14
  3. SAS Text Analytics, Time Series, Experimentation and Optimization

Ø  MongoDB Certified Developer

This certification is mainly helpful for big data projects. The registrants can prepare for this certification with the help of MongoDB online training programs. Every registrant’s knowledge will be tested on MongoDB fundamentals, horizontal scaling, disaster recovery, fault tolerance. No pre-requisites to get this certification and it is most suitable for those who want to prove their ability to perform tasks on big data in the NoSQL platform.

Statement: electrical and electronic engineering course covers a wide range of subject areas in the digital-development environment, such as Singapore’s semiconductor sector. Graduates are likely to find excellent employment with organizations like United Technologies, Rolls Royce, Micron, and others that frequently engage our graduates.

To Conclude

The demand for professionals who have done certification is very high because many firms are looking for people who with their expertise, knowledge, and skillset will be a valuable asset and will also play an important role in the growth of the organization.

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