The Top 8 Data Engineer And Data Architect Certifications
The top 8 data engineer and data architect certifications
They are as follows:
Cloudera Certified Professional (CCP): Data Engineer
The CCP: Data Engineer credential validates a candidate's ability to perform fundamental tasks in Cloudera's CDH environment, such as data ingest, transformation, storage, and analysis. The certification requires passing the remote-proctored CCP: Data Engineer Exam (DE575), a four-hour hands-on exam comprised of five to eight customer problems, each involving a unique, large data set on a CDH cluster. The candidate must implement a technical solution with a high degree of precision that satisfies all requirements for each problem.
Cloudera Certified Associate (CCA) Spark and Hadoop Developer
The CCA Spark and Hadoop Developer credential validates fundamental skills in data ingest, transformation, and processing using Apache Spark and core Cloudera enterprise tools. It requires passing the CCA Spark and Hadoop Developer Exam (CCA175), which is proctored remotely and consists of eight to twelve performance-based, hands-on tasks on a Cloudera Enterprise cluster. Each question requires the candidate to apply their knowledge to a specific scenario. Certain situations may necessitate the use of a tool such as Impala or Hive, while others may necessitate coding. The exam is 120 minutes long and candidates have 120 minutes to complete it.
Data Science Council of America (DASCA) Associate Big Data Engineer
The vendor-neutral DASCA Associate Big Data Engineer certification demonstrates familiarity with popular big data platforms, such as Hadoop and Spark, as well as familiarity with proprietary and open source developer tools (including HBase, Hive, Pig, and HiveQL). It is obtained by passing a 75-question online examination. There are three distinct paths to candidacy, each of which requires a different level of education and work experience.
Amazon Web Services (AWS) Certified Data Analytics – Specialty
The AWS Certified Data Analytics – Specialty certification verifies technical knowledge and experience with Amazon Web Services data lakes and analytics services. It is designed to assess a candidate's ability to define AWS data analytics services and comprehend their interdependence. Additionally, candidates must understand how AWS data analytics services fit into the data lifecycle processes of collection, storage, processing, and visualization. This certification, formerly known as AWS Certified Big Data – Specialty, is valid for three years from the date of acquisition.
IBM Certified Data Engineer – Big Data
The IBM Certified Data Engineer – Big Data certification program is designed for big data engineers who collaborate directly with data architects and hands-on developers to bring an architect's big data vision to life. Data engineers understand how to apply technology to solve big data problems and are capable of developing enterprise-scale data processing systems. They design, develop, maintain, test, and evaluate big data solutions within organizations, advising architects on hardware and software requirements. This certification is earned by passing a test comprised of five sections and 53 multiple-choice questions.
Google Professional Data Engineer
The Google Professional Data Engineer credential validates an individual's ability to design, build, operate, secure, and monitor data processing systems. It is earned through the successful completion of a two-hour multiple-choice and multiple-select certification exam. Although there are no prerequisites for the exam, Google recommends that candidates have at least three years of industry experience, including at least one year designing and managing solutions using Google Cloud Platform. The exam is available in English and Japanese and may be taken online or onsite at a testing center.
Data Science Council of America (DASCA) Senior Big Data Engineer
Senior Big Data Engineer certification from DASCA is a step up from the associate credential and is intended for more experienced professionals. It requires passing an online exam consisting of 85 questions. There are four distinct paths to candidacy, each of which requires a different level of education and work experience.
IBM Certified Data Architect – Big Data
The IBM Certified Data Architect – Big Data certification is intended for data architects and requires passing a test comprised of five sections and a total of 55 multiple-choice questions. It demonstrates how a data architect can collaborate closely with customers and solution architects to translate business requirements from customers into a big data solution.
