Big Data Certifications

May 2, 2021

5 Min Read

Some buzzwords that define the direction of companies today are innovative, competitive, and efficient which can all be driven by Big Data. As understanding for big data increases and changes at a fast rate, there is growing demand for people who have a skillset in making big data actionable. Certifications have long been a trusted test of competence and an accepted standard in the ever-changing world of technology and big data is no different. As changes in the industry occur, many organizations often update their content. This requires a periodical re-evaluation for big data skills which is usually organized every three years. If you have experience with big data or are a growing enthusiast in the field, you may need to prove to employers that you have the competency. This is where a big data certification can help.

If you want to prepare yourself at a professional level and improve your chances of landing a big data job or maybe you are planning a career change, check out 11 widely accepted data certifications available today.

CCAH

Earning the Cloudera Certified Administrator for Apache Hadoop certification proves that you have the technical skills to work effectively with an Apache Hadoop group. The main companies using Hadoop-a software library developed and maintained by The Apache Hadoop project are Adobe, IBM, eBay, Facebook, and more. You can select skills in Hadoop Files System (HDFS) with Hadoop software installation and administration. The CCAH exam has 60 questions and takes 90 minutes, and you need to score above 70 percent to pass the exam.

CCP: DS

The Cloudera Certified Professional: Data Scientist has three exams that make up the full course before earning a certification. You need to pass all the exams on the descriptive and inferential statistics on big data, advanced analytical techniques on big data, and machine learning. And you need to pass all three exams, which will take place within a year. Career opportunities in big data science are increasing rapidly. You need to know about the extraction of errors, incomplete records, or bad records from datasets before you are certified as a Big Data Scientist. During a peer-review system, you will have the scope of developing a data science solution, strength, and accuracy. And you will know how to operate with JSON, graph-link data, and XML.

CCP: DE

The Cloudera Certified Professional: Data Engineer is one of the most demanding performance-oriented certifications. Before you can get the CCP Data Engineer certification, you need to have an advanced level of mastery in data science. The exam takes 4 hours, and you need to score above 70 percent to pass the exam. Perform a hands-on task on the Cloudera cluster and use any tools you need to solve customers’ problems.

EMCDSA

Securing the EMC Data Scientist Associate certification will allow working as a data science team member on massive projects. The course for covering the foundations of data science and big data analytics at the associate level can be done online or in-person. You will be able to perform the following with your skills:

  • Deployment of the Data Analytics Lifecycle.
  • The reformulation of a business challenge as an analytics challenge.
  • Application of tools and techniques to analyze big data.
  • The creation of statistical models.
  • The selection of the appropriate data to visualize.

CAP

Before you can earn the Certified Analytics Professional certificate, you need to meet the education and experience requirements. The requirements include 3 years of experience if you have a master’s degree in the related field, 5 years of experience if you have a bachelor’s degree in the related field, and 7 years of experience if you don’t have any degree related to analytics. The CAP program is aimed at various of the most important areas in the analytics process. These areas consist of formulating analytics and business problems, selecting the appropriate methods, life cycle management, and model construction.

HP Vertica Big Data: ASE

The HP Vertical Big Data: Accredited Solutions Expert certification focuses on examining database administrators’ abilities to know if they are capable of identifying and solving problems. Earning this certification will certify you to work and perform better with Vertica Analytics Platform, including database tuning and manual projection design. The exam is cloud-based with a written exam through Pearson VUE testing. Do research on any tech job board, you will see that HP’s Vertica Analytics Platform is widely used.

Big Data and Analytics VI

To have The IBM Certified Solution Advisor: Big Data and Analytics VI certification, you must know big data and analytics concepts. Having the skill of IBM products is nice but not needed. A two-day boot camp can get you prepared for the IBM exam. With your skills, you will be able to diagnose customer requirements and suggest the best solution for them. The skills include:

  • Design principles in big data and analytics solutions
  • Architectures
  • Processes
  • Maturity and adoption models

OBI: Foundation Suite 11g

When you take the Oracle Business Intelligence: Foundation Suite 11g program, you will earn a certification related to Oracle’s Middleware and Java. You will build and install BI solutions, build BI dashboards, and make security settings. Foundation Suite 11g course is driven towards the Oracle Partner Network members.

SAS Certifications

Having SAS Certification is very important. SAS provides the Business Intelligence Content Developer (SAS 9) certification for data analytics. If you want to become a SAS Certified Predictive Modeler, you must have the knowledge and skills of SAS Enterprise Miner 13. The skills include building and assessing predictive models, recording or scoring new sets of data, and data preparation. Statisticians would be interested in becoming a SAS Certified Statistical Business Analyst because the exams only involve ANOVA, logistic regression, and predictive modeling.

MCSE: Business Intelligence

 Any candidate who passes the MSCE: Business Intelligence exams will become a BI and reporting engineer member. The qualification indicates that you can design and build data solutions and apply them within an organization successfully. Five exams are related to Microsoft SQL Server 2012. If you pass the first three exams, you will become a member of Microsoft Certified Solutions Associate (MCSA) and earn SQL Server 2012 certification. While the MCSE: Business Intelligence certification will be yours if you pass the last two exams.

Data Mining and Applications Graduate Certificate

The Data Mining Applications Graduate Certificate is a college-level program from Stanford University. The program is instituted to offer the necessary information needed in data mining and machine applications. The program is helpful because it illustrates how the given ideas can be applied to business, science, and technology, and it is highly rated in terms of job outlooks. It is a suitable platform for Data analysts and consultants to sign up for.

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