Digital transformation has completely revolutionized the way people interact. Today, millions of devices are connected through network systems and are exchanging data and information in huge numbers. It is set to increase but never decline in volume. Big Data is used to analyze this “sea of data” and convert it into something useful for organizations providing various services to users and clients.
What is Big Data?
Big Data is a set of technologies consisting of structured, unstructured, and semistructured data that is used to store and analyze the data collected (mining of data). The analysis of such data can be used to identify and explain patterns and trends which can then be used for providing solutions to business queries. This is achieved by using machine learning techniques and various predictive modeling along with various analytical tools using the mined data.
Big Data is characterized by the three V's:
● Volume: The data collected is in large volumes.
● Variety: There is variety in the data types stored in big data systems.
● Velocity: Data is generated and collected at a high velocity per day.
Applications of Big Data:
Big data has diverse uses in fields like medicine, environmental science, and agriculture. However, the most widely known application of big data is the analysis of user data from various social media platforms such as Facebook, Instagram, Twitter, TikTok, YouTube, etc. Other applications of Big Data include GPS systems which gather real-time data on the traffic situation at places nearby and thereby recommend the fastest route to your destination. In smartwatches, these days, the heartbeat monitoring system can help identify patterns and prevent cardiovascular diseases.
Why Should You Become a Certified Data Professional?
Big data is the talk of the town with its multifarious applications and easy scalability feature for providing business solutions by analyzing huge amounts of data through a variety of tools and techniques. Big data technology can be learned through a big data certification course where you can learn the skills of big data as well as get certified for practicing as a certified big data professional. A big data certification will help you prove your skills and expertise to your prospective employers.
Big data certifications help individuals to specialize in a specific area or platform because there are a variety of technologies and programming languages involved in data analysis. A certification helps prove your credentials as a big data professional who can use tools pertaining to the latest standards of the industry and provide solutions.
Furthermore, according to the U.S. Bureau of Labor Statistics, it is projected that employment in the field of Information Technology is set to grow by 13% between 2020 and 2030. Such growth in employment in this sector is mostly attributed to growth in the number of opportunities and demand for certified big data professionals.
Big Data Certifications For Hadoop
The Big Data certification course with Hadoop will give you in-depth knowledge of big data using Hadoop through real-life, industry-based training. Here are some of the best certification courses for learning Big Data with Hadoop.
● Cloudera Certified Associate (Spark & Hadoop Developer)
Cloudera Certified Associate Spark & Hadoop Developer certification provides hands-on training in HDFS systems using Spark and Spark SQL for storage and querying of data. The CCA certification in Spark & Hadoop Developer is given to individuals who clear the certification exam with 70% marks. The exam comprises 8-12 performance-based questions. However, this program has been discontinued.
● Hadoop Big Data Certification
The “Big Data and Hadoop” training course provides hands-on experience in HDFS, Apache Hadoop, Hive, YARN, Map Reduce, and many more through training from industry experts. It provides 30 hours of live training and 24 hours of hands-on training on Big Data analytics and Hadoop which covers concepts from the fundamental level to the advanced professional level. With experience working on 3 projects, you can develop a deep understanding of the various big data frameworks. Anyone interested in learning Big Data Hadoop can join this course. Certification is provided upon completion of this course.
● Cloudera Certified Administrator for Hadoop (CCAH)
Cloudera also provides a Certification in Administrator for Hadoop where you can learn to configure, deploy, maintain, and secure Apache Hadoop clusters. The certificate is awarded to individuals who successfully pass the CCA131 examination with 70% marks by answering 8-12 performance-based questions. There are no strict prerequisites to join this course, however, having knowledge of system administration is desirable. The CCA exam mainly requires working on pre-configured questions on the Cloudera Manager where you would be expected to install, configure, manage, secure and test/troubleshoot in the Cloudera Manager.
Big Data Certifications For Apache Spark
Among the various tools used in Big Data technology, Apache Spark is widely used in machine learning analytics. When learning big data technology, having knowledge of Apache Spark as part of big data tools and techniques will help you get started with a certification course. Here are some of the well-known Big Data certifications for Apache Spark.
● Databricks Spark Developer Certification
The Apache Spark certification offered by Databricks puts emphasis on the skills of programming. It is a self-paced course that is available online making it suitable for working individuals to learn Big Data technology. With the availability of trainer-led sessions, individuals can chisel their skills. Individuals proficient in Python and Scala often take up this course due to its emphasis on programming skills. The exam duration of this course is 1 hour 30 minutes, after which the certificate is awarded to the successful candidates.
● Apache Spark Certification
Getting certified in Apache Spark comes with added benefits of learning Scala through the same course from top institutes. The Apache Spark and Scala training course provides 24 hours of instructor-led training where you can learn the concepts of Apache Spark in-depth and get hands-on experience working in Apache Spark through real-time projects. Additionally, you can learn about Apache Spark Core, Spark Internals, RDD, Spark SQL, etc.
Joining this course doesn't require fulfilling strict eligibility criteria, however, having knowledge of programming languages such as Python and Java will be beneficial. Other requirements include having a basic understanding of database management systems such as SQL. Getting a Big Data and Hadoop Development certification for this course will be beneficial.
Big Data Certifications For Data Scientists
Data scientists are one of the most in-demand data specialists who are well-trained in providing cost-effective solutions for storing and analyzing big data. There is a growing demand for data scientists due to the shortage of certified professionals. If you wish to learn Big Data to pursue a career as a certified Data Scientist, here are some of the top certification courses for Data Scientists.
● Cloudera Certified Professional: Data Scientist (CCP: DS)
Cloudera provides certification for Cloudera Certified Professional: Data Scientist (CCP: DS) which will test your storage and analysis skills of Big Data as well as your knowledge of the concepts of Data science. Enrolled students need to complete 3 exams for acquiring this certification: DS700, DS701, and DS702. Having knowledge of Hadoop along with programming languages like Python and R come in handy while preparing for these exams.
● Data Science (Python and R) Certification
Certifications from top training institutes in Data Science with Python and with R are available for your preference and preparation. With the Data Science and Python certification course, you can avail 42 hours of professional-led training and get in-depth knowledge of visualization tools such as Pandas, Matplotlib, and Scikit. With 35 hours of hands-on training with working knowledge of 6 real-life projects, you can master the skills of Python as an integral part of Data Science.
The Data Science with R certification course covers areas such as Data Manipulation and Visualization with knowledge of Advanced Statistics and more. This course provides 40 hours of instructor-led training along with 36 hours of hands-on training on R. This course also includes 6 live projects for comprehensive coverage of the statistical tools of predictive modeling through R.
Knowledge of Data Science with Python and R will help immensely in learning Big Data. The demand for Data Scientists has soared over the years with over 50% growth in the availability of opportunities for data scientists. Having knowledge of Data Science with Python and R will help in learning skills of Big Data with greater expertise and authority.
● EMC Data Scientist Associate (EMCDSA)
Data Scientist Associate certification by EMC focuses on data analytics such as deploying the right lifecycle and choosing the right tools for creating visuals and statistical models. There are no eligibility requirements for joining this certification course however, prior working knowledge of data science and big data analytics will help.
Given the given scenario of the IT market and the growing generation of data every day with the need to analyze them to produce beneficial results, Big Data is here to stay in the foreseeable future. The types and number of opportunities in the Big Data sector are ever-increasing and will create a greater need for certified big data professionals. So if you are considering pursuing big data engineering as a career, you should join one of the best big data certifications to upgrade your career in the best way possible.
1. How long does it take to learn Big data?
Enrolling in a Big Data certification course and completing it can take 1 to 1.5 months. However, when starting from the basics of Data Science and Big Data for all-around learning coverage, it may take about 4 to 6 months to completely understand the concepts of Big Data and the interrelated disciplines of Big Data such as Hadoop, Data Science, Apache Spark, etc.
2. Is big data in demand in 2023?
Big Data focuses on real-time analysis of high volumes of data for providing better-informed business solutions for increased competitiveness. It has been predicted that by 2029, the market for big data is to expand by 665 billion.
3. How much does a Hadoop Big Data certificate cost?
The courses for Hadoop Big Data can range anywhere between INR 500 to INR 40,000.
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