The Top 5 Big Date Certifications That We Have

Shamiyo 02-22-2019

Being certified is a great way to make a career shift to a promising field. Certifications have long since been a reliable proof of competency and an accepted norm in the fast-changing technology world. To help most candidates pass their IT exams for certifications, we new released and updated many certification exam dumps recently, such as C9510-418, 3V0-752, NSE4_FGT-6.0 and so on. Among all these certification exams, I found most exams are related to the Big Data certifications. So you can find, Big Data Certification is a most importand and popular part of IT certifications. Today, we would like to share the top 5 Big Data Certifications that we have.

Why Get Big Data Certification?

It is important for you to choose a Big Data certification that suits your career aspirations. A number of career paths are available within the Big Data and Analytics stream- Developer, Data Architect, Business Analyst, Solutions and Services Expert (for specific branded products), Database Administrator, Data Scientist, Data Engineer, and so on.  

Get Big Data certification can help you get advantages as we mentioned below:

● Positive optimism about the technology

The survey states that the Big Data market is predicted to be worth $45 billion by 2018, with great prospects in the areas of Big Data related infrastructure, software and services over the next five years. More, there is an annual growth rate of 23% over the period of 2014-2019 and annual spends to reach $50 billion in 2019.

● Strong salary prospects

According to the positive optimism about the technology of Big Data certification, you can find some one who owns Big Data certification can gain high salary. They have strong salary prospects. As so far, there are 181,000 people with deep analytical skills, and five times for data management and interpretation skills. This skew in demand-supply gives data professionals a financial-edge over run-of-the-mill IT professionals.

● Career progression

Doing a Big Data certification is the way to leapfrog your career from a traditional IT job to a futuristic Data Analytics profession. Moreover, you can choose from a number of Big Data certifications according to the career path you wish to adopt- Architecture, Data Science, Business Analytics, Big Data Development (Hadoop, R, Python etc.), Administration- the options are many to suit your preference.

Top 5 Big Data Certifications

I collected the top 5 Big Data Certifications that we have as listed:
● Microsoft Certified Solutions Expert (MCSE): Data Management and Analytics
● IBM Certified Data Architect – Big Data
● IBM Certified Data Engineer – Big Data
● EMC Proven Professional Data Scientist Associate (EMCDSA)
● Oracle Business Intelligence Foundation Suite 11 Certified Implementation Specialist

Microsoft Certified Solutions Expert (MCSE): Data Management and Analytics

MCSE Data Management and Analytics is one hot certification which launched by Microsoft, which demonstrate your broad skill sets in SQL administration, building enterprise-scale data solutions, and leveraging business intelligence data – both on-premises and in cloud environments. Earning an MCSE: Data Management and Analytics certification qualifies you for such jobs as database analyst, database designer, and business intelligence analyst.

Pass 1 of the following exams to get MCSE: Data Management and Analytics certification:
● 70-473 Designing and Implementing Cloud Data Platform Solutions
● 70-475 Designing and Implementing Big Data Analytics Solutions
● 70-464 Developing Microsoft SQL Server Databases
● 70-465 Designing Database Solutions for Microsoft SQL Server
● 70-466 Implementing Data Models and Reports with Microsoft SQL Server
● 70-467 Designing Business Intelligence Solutions with Microsoft SQL Server
● 70-762 Developing SQL Databases
● 70-767 Implementing a Data Warehouse using SQL
● 70-768 Developing SQL Data Models
● 70-773 Analyzing Big Data with Microsoft R
● 70-774 Perform Cloud Data Science with Azure Machine Learning
● 70-775 Perform Data Engineering on Microsoft Azure HDInsight
● 70-777 Implementing Microsoft Azure Cosmos DB Solutions

IBM Certified Data Architect – Big Data

IBM Certified Data Architect - Big Data works closely with the customer and the solutions architect to translate the customer's business requirements into a Big Data solution. This certification requires you answer C2090-102 IBM Big Data Architect exam to verify that you have deep knowledge of the relevant technologies, understands the relationship between those technologies, and how they can be integrated and combined to effectively solve any given big data business problem.

IBM Certified Data Engineer – Big Data

IBM Certified Data Engineer – Big Data orks directly with the Data Architect and hands-on Developers to convert the architect's Big Data vision and blueprint into a Big Data reality. This certification requires you answer C2090-101 IBM Big Data Engineer exam to verify that you possess a deep level of technical knowledge and experience across a wide array of products and technologies.

EMC Proven Professional Data Scientist Associate (EMCDSA)

EMC Proven Professional Data Scientist Associate (EMCDSA) certification is designed to build on the skills developed in the Associate level course in Data Science (Data Science & Big Data Analytics) and help aspiring Data Scientists continue to evolve and expand their skill sets. You must pass Dell EMC E20-065 Advanced Analytics Specialist Exam for Data Scientists exam for this certification.

Oracle Business Intelligence Foundation Suite 11 Certified Implementation Specialist

The Oracle Business Intelligence Foundation Suite 11 Certified Implementation Specialist Certification identifies professionals that are skilled in implementing solutions based on Oracle Business Intelligence Suite. The certification only requires you answer 1Z0-591 Oracle Business Intelligence Foundation Suite 11g Essentials exam to test your ability of installing OBIEE, building the BI Server metadata repository, building BI dashboards, constructing ad hoc queries, defining security settings and configuring and managing cache files.