About Big Data Certification :
If you have n’t heard all the agitations around big data , you’re probably not paying attention. In fact, big data analysis has become one of the most valuable parts of any modern business.
Big data was uncovered before it got into the hands of enough qualified people . But now that things are happening, a few certifications can help you move on to a new career. Do you want to separate yourself from your current job?
Or are you planning a career change ? Check out 10 of the best big data certificates available right now.
1. Certified Administrator for Apache Hadoop (CCAH)
After receiving this certification, you can show them the technical knowledge and skills to work with a bunch of Apache Hadoop. Gain skills in Hadoop cluster installation and administration as well as in the Hadoop Distributed File System (HDFS). In order to pass the exam with 60 questions in 90 minutes, you must score above 70 percent.
2. Cloudera Certified Professional: Data Scientist (CCP: DS)
Three exams complete the course. Any special order must be taken within 365 days. Typical skills include extracting features from different types of "noise" datasets - faulty, partial reports or bad reports. You work with data stored in a wide range of JSON, XML, and graphite connection data formats.
Candidates will create a data science solution, through a review system, to ensure accuracy, robustness and simplicity.
3. Cloudera is a Certified Professional Data Engineer
Demonstrating technical skills, clients gain the highest preference with this certification built on the CCP Data Scientist Program. Work in an experienced environment to solve customer problems and use whatever tools you need for clusters.
4. EMC Data Scientist Associate (EMCDSA)
After obtaining EMC certification you can participate and contribute as a member of the data science team for larger projects. With your skills, you will be able to:
- Deploying the Data Analyzer Lifecycle
- Setting a business challenge as an analytical challenge
- Use analytical methods and tools to analyze big data
- Statistical modeling
- Select the appropriate data parameters
5.Certified Analytical Professional (CAP)
Education and experience conditions must be met to sign this certificate. The program focuses on several key domains of the analysis process. This includes analyzing and framing business problems, selecting methodologies, modeling and lifecycle management.
6. HP Vertica Big Data Accredited Solutions Expert (ASE)
Do any technical dashboard search, and it's clear HP's Vertica Analytics platform is widely used. It aims at the authentication of database administrators and tests their ability to identify and troubleshoot problems. With optimizing Vertica performance, you get better. Advanced functions include database preparation and manual projection design. Pearson-V test followed by Pearson-VUE test followed by written test.
7. IBM Certified Solution Advisor: Big Data & Analytics V1
With this certification you can understand the basic concepts of big data and analytics. You will be able to identify customer needs and propose the best solutions. Skills covered include:
- Design principles in big data and analytics solutions
- Structures
- Process
- Maturity and adoption models
Knowledge of IBM products is not required. A two-day boot camp for big data and analytics for IBM's certified solutions consultant can prepare you for the exam.
8. Oracle Business Intelligence (OBI): Founded Suite 11g
Once you have succeeded in this program, show us how you can solve the problem by going to ORIX’s Middle East and Java certification path. Develop skills to set up and install BI solutions, create BI dashboards, and define security settings.
9. SAS Certificate
Any SAS certification required. SAS offers Business Intelligence Content Developer (SAS 9) certification for data analysis. The knowledge and skills of SAS Enterprise Measurement 13 are essential for candidates who want to become a SAS Certified Projection Model. Candidates:
Predictive Modeling and Evaluation
Mark new datasets
Process the data
Statisticians will be interested in becoming a SAS Certified Statistical Business Analyst. Logistic regression, ANOVA, and predictive modeling were examined in this study.
10. MCSE: Business Intelligence
People who pass the exam qualify as BI and reporting engineers. Credentials can enable you to implement them across an organization without problems to design and build data solutions. Microsoft SQL Server 2012 has five related exams. If you pass the Microsoft Certification Solutions Assistant (MCSA) with SQL Server 2012 certification, you will pass the first three exams. The final two exams you get the MCSE: Business Intelligence Certificate.
conclusion
Big data is now banking more than ever before. But big data spaces are rapidly expanding, and they need adaptations. Most of the programs mentioned above are updated when there are changes in the industry, and usually require re-examinations every three years. It was worth the effort. Regardless of your field, you need to ensure that employers have the right skills and that you can apply them when it matters the most.
