What Are the Best Big Data Certifications?

Nowadays, Big Data is everywhere, offering different life-changing career opportunities. If you want to make it big in the Big Data field, then 2017 is the right time to hone your skills by obtaining one or more of the big data certifications.

The big data industry is suffering from scarcity of talent. In the constantly changing world of big data tools and technologies, employers are often faced with the problem of hiring the right talent with appropriate big data skills. Hence, they seek to employ professionals with certifications in specific big data technologies.

It is a known fact that analysts and data scientists with expertise in the techniques required to analyze big data, and engineers and developers who know how to maneuver Hadoop clusters and other technologies are hard to find. Therefore, if you are looking for a way to get an edge over others, big data certification is a great option.

Most of the big data certification initiatives are conceived with the intent to bridge the gap between the supply and demand for skilled big data professionals. Whether you are a Hadoop developer, data analyst, data scientist, data architect or an individual aspiring for a career in analytics, big data certification will help you boost your career.

Why Should You Go For A Big Data Certification?

The demand for people who can work with big data is growing exponentially. Type in “Big Data” on Glassdoor, you will find over 53,576 open jobs pop up on the screen (as of February, 2016). There are even more open big data positions that do not mention the keyword “big data” but require skills related to big data technologies like Spark, Hadoop, Storm, NoSQL, etc.

Moreover, certifications measure your knowledge and skills against the industry standards and the vendor-specific benchmarks to demonstrate to employers that you have the right skillset. Professionals with big data certifications are high in demand, commanding an average salary of $90,000 per annum or more.

What Are The Best Big Data Certification?

Big data certifications can be pursued and obtained by professionals with a background in administration, analytics, business intelligence, data management, data mining, or anyone looking to make a career switch from software application development or data warehousing. With the surge in Big Data applications and solutions, the number of big data certifications are expanding.

The choice of the right big data certification depends on the experience the professionals already have and the role they want to play in the big data world. Some of the most popular big data job roles include Hadoop Administrator, Hadoop Developer, Data Scientist, Data Analyst, Data Architect, and Spark Developer.

Therefore, ensure that you opt for the apt big data certification based on the job role you want to fill in. Here we have listed out a few of the best big data certification to help you make the right career choice.

EMC Data Science Associate (EMCDSA)

This is one of the few big data certifications which is both foundational and vendor agnostic. If you are new to big data, achieving this certification will help you jumpstart your career. This certification covers the data analytics life cycle, technologies, and tools including Hadoop MapReduce, and R.

Offered by EMC, the EMCDSA certification authenticates that the individual has the expertise and skill sets to contribute as a member of a big data science team. This big data certification requires extensive training in big data analytics, including analytics lifecycle, framing the business question, applying analytics tools and techniques, data visualization, and creating statistical models. To earn this big data certification, candidates need to pass a 60-question exam.

Certified Analytics Professional (CAP)

Offered by the Institute for Operations Research and the Management Sciences (INFORMS), this big data certification is platform-neutral and covers the breadth of analytics, from problem framing through selecting software tools, acquiring and cleaning data, and building and deploying models as well as performing related tasks.

This certification is suitable for you if you have an extensive background in computer science. Obtaining this certification will place you securely among the higher levels of big data professionals.

Eligibility to earn this big data certification mandates a BS or BA degree, three to seven years of professional analytics work experience and confirmation of acceptable “soft skills” by your current or a previous employer. If you meet the above-mentioned prerequisites, you can appear for the CAP exam, which is available online, through Kryterion.

Hortonworks Development Platform Certified Developer (HDPCD)

Hortonworks is one of the leading innovators in the big data industry, creating, distributing and supporting enterprise-ready open source data platforms and applications. This big data certification validates your technical understanding of Apache Hadoop and is designed for Hadoop developers using frameworks like Pig, Hive, Sqoop and Flume.

The certification verifies an individual’s knowledge and expertise in data ingestion, data transformation, and data analysis. To obtain the HDPCD big data certification, candidates have to clear an exclusively hands-on, performance-based exam that requires them to complete a set of tasks on an actual Hadoop cluster instead of attempting multiple-choice questions.

The exam is based on the Hortonworks Data Platform 2.4 installed and managed with Ambari 2.2, which includes Pig 0.15.0, Hive 1.2.1, Sqoop 1.4.6, and Flume 1.5.2. Each candidate will be given access to an HDP 2.4 cluster along with a list of tasks to be performed on that cluster.

Cloudera Certified Administrator for Apache Hadoop (CCAH)

If you are involved in a system administrator role, this is one of the primo Big Data certificates to possess. This big data certification validates the level of administrative knowledge and skills an individual has in configuring, maintaining, deploying, and securing an Apache Hadoop cluster.

This certification exam covers topics ranging from HDFS to cluster planning and administration, monitoring and logging, and resource management. Offered by Cloudera, this certification exam does not have specific prerequisites.

HDP Certified Apache Spark Developer (HDPCD – Spark)

This big data certification, offered by Hortonworks, is designed for developers responsible for developing Spark SQL and Spark Core applications in Python or Scala. This is an entry point for developers who requires to create applications to analyze Big Data stored in Apache Hadoop using Spark.

The HDPCD-Spark certification tests developers about their knowledge of the Hortonworks Data Platform (HDP), including HDFS and YARN, using Spark Core APIs for interactive data exploration, Spark SQL and DataFrame operations, building and deploying Spark applications, Spark Streaming and DStream operations, data visualization, performance monitoring and tuning, reporting, and collaboration, etc.

HDPCD is a hands-on, performance-based certification for Spark on the Hortonworks Data Platform (HDP). To earn this big data certification, candidates have to perform actual tasks on a live installation of Hortonworks products and fulfill all the exam objectives.

Concluding Note

While the above list showcases some of the best certifications of the big data universe, there are several more options on the table, with more emerging every day. Some other popular certifications in Big Data, offered by IBM, HP, Stanford University and University of Delaware are also quite comprehensive.

A quick search in Google every month or two would reveal a growing list of data analytics, big data, and BI certifications. So, stay informed and choose the most suitable big data certification for you and soar high in your career.

2 thoughts on “What Are the Best Big Data Certifications?

  1. Very interesting blog post.Quite informative and very helpful.This indeed is one of the recommended blog for learners.Thank you for providing such nice piece of article. I’m glad to leave a comment. Expect more articles in future.

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