AWS Big Data Specialty certification is going to retire on July 1, 2020, and the AWS Data Analytics certification has already come up since March 17, 2020, as a replacement of the AWS Big Data Specialty certification. Let’s find out the differences between these two i.e. AWS Certified Big Data vs Data Analytics Specialty exams.
Amazon Web Services (AWS) has completely revolutionized the professional IT certification landscape with its various certifications. AWS provides certifications for any aspiring cloud professional at any level of expertise in their professional journey. The facility of associate and professional certifications differently on AWS provides an opportunity for candidates to craft their career path.
However, AWS also offers specialty certifications for candidates to prove their specialization in specific skills. In addition, AWS also retires existing certifications and replaces them with new ones. As AWS Data Analytics certification is the replacement of AWS Big Data certification, it is common to find an AWS Certified Big Data vs Data Analytics Specialty battle while searching for AWS specialty certifications.
AWS Certified Big Data vs Data Analytics Specialty Exams
As you all know, AWS introduces new certifications with the purpose of validating the skills of candidates in new AWS technologies. Therefore, it is highly essential for all candidates to have a clear impression of differences between new and retiring exams.
The following discussion would present an outline of the difference between AWS Big Data and AWS Data Analytics exam. The discussion starts off with an outline of basic information regarding both exams and information regarding their availability. However, the main highlight of the following discussion would be the comparison of differences between the domains of both exams. As a result, readers can use this discussion to determine the right data specialty certification of AWS.
Comparison of Exam Availability
The first piece of information that you should look for in AWS Certified Big Data vs Data Analytics Specialty comparison is the availability of exams. The AWS Certified Big Data Specialty Exam will retire on July 1, 2020. The AWS Certified Data Analytics Specialty Exam is the new version of the big data specialty exam. Registrations for the data analytics certification exam started on March 17, 2020, and candidates appeared for the first AWS Data Analytics specialty certification exam on April 13, 2020.
Comparison of Ideal Target Audience for the Exams
The next important concern for the AWS Certified Big Data vs Data Analytics specialty exam comparison is basic exam information. The first pointer that we can reflect on for comparing the two specialty exam versions refers to the target audience.
Readers should note that the AWS Big Data specialty certification is ideal for professionals involved in performing complex Big Data analysis. On the other hand, the AWS Data Analytics specialty certification is ideal for professionals aspiring to prove their credibility and expertise in using AWS analytics and data lakes services.
The AWS Data Analytics specialty certification helps candidates prove their ability for designing, development, security and maintenance of analytics solutions on AWS. Therefore, you can clearly note that AWS Big Data Specialty certification focuses on capability for performing big data analysis. On the other hand, AWS Data Analytics Specialty certification tests the capability for deriving relevant insights from big data.
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Comparison of Abilities Tested in the Exams
Another important highlight in the AWS Certified Big Data vs Data Analytics Specialty comparison refers to abilities tested in the exams. The comparison between abilities tested in the exams can offer substantial support for determining the right exam for your career.
The AWS Certified Big Data Specialty Exam tests the following capabilities of candidates.
- Implementation of core AWS Big Data services according to best practices for the basic architecture.
- Designing and maintenance of Big Data.
- Leveraging tools for automation of data analysis.
On the other hand, the AWS Certified Data Analytics specialty exam tests the abilities of candidates in the following areas.
- Definition of AWS data analytics services and understanding the integration between them.
- Explanation of alignment between AWS data analytics services and the data lifecycle phases involving collection, processing, visualization, and storage.
Comparison of Knowledge and Experience Requirements
Another important point of comparison between the AWS Big Data Specialty and AWS Data Analytics specialty certification exam is the knowledge and experience requirements. With a closer look, you can see that the Big Data Specialty certification exam presents a wide range of knowledge and experience requirements.
In addition to the general IT knowledge and experience recommended, candidates also need to have hands-on AWS experience. However, in the case of the AWS Certified Data Analytics Specialty exam, candidates have to follow only a few recommended knowledge and experience requirements. Candidates need at least five years of experience in working with data analytics technologies.
In addition, candidates need two years of hands-on experience in working on the AWS platform like Big Data specialty certification. Another important requirement for AWS Data Analytics certification is experience and skills in working with AWS services for designing, building, security, and maintenance of analytics solutions.
Comparison of Basic Exam Information
One of the notable comparison points for AWS Certified Big Data vs Data Analytics Specialty debate is the exam format. Both the exams have many similarities only with one difference. The duration of the AWS Big Data Specialty certification exam is 170 minutes while that of AWS Data Analytics Specialty certification exam is 180 minutes.
The exams are similar in terms of other aspects, such as the facility of multiple-choice, multiple-answer questions. The registration fee for both the exams is $300 USD. Both the AWS Big Data and Data Analytics specialty certifications are available in four languages such as English, Japanese, Simplified Chinese, and Korean.
Targeted to clear AWS Certified Big Data Specialty exam before it retires? Follow this AWS Big Data Specialty exam preparation guide and get ready to crack the exam.
Comparison of Domains Covered in the Exams
Now, let us focus on the most prominent detail in the difference between AWS Big Data and AWS Data Analytics Exam. The difference in the domains covered in the two exams can help candidates understand both exams better. Furthermore, candidates can get a brief idea of the changes in emphasis on topics in the specialty certification exam. Let us take a domain-by-domain comparison into account for supporting our discussion further.
The first domain remains the same in both Big Data and Data Analytics specialty certifications. However, the weighting of this domain in the Data Analytics specialty certification is 17% while the weighting of this domain in the Big Data specialty certification is 18%. In addition, the Data Analytics certification exam excludes the subtopic of explaining durability and availability characteristics for the collection approach.
The second domain has gone through a drastic revision in the Data Analytics specialty certification exam. The second domain of the Data Analytics specialty certification exam emphasizes data management also. In addition, you can also notice that the second domain has higher weightage in the case of Data Analytics specialty certification.
On the one hand, the Big Data specialty certification allocates 17% of weighting to the second domain. The Data Analytics specialty certification, on the other hand, allocates 22% weighting to the second domain.
The third domain deals with processing in both the entries in AWS Certified Big Data vs Data analytics specialty exams. However, the Data Analytics specialty certification allocates higher weighting to this domain, as compared to the Big Data specialty certification. In the case of Data Analytics Specialty certification, the domain of processing has a weighting of 24%. On the other hand, Big Data specialty certification allocates 17% weighting to the domain of processing.
Analysis and visualization
This is an interesting aspect of the comparison between the two versions of data specialty certifications on AWS. Candidates should know that analysis and visualization are two distinct domains in the Big Data specialty certification. Both the domains account for a total weighting of 29% in the Big Data Specialty certification exam. However, the Data Analytic specialty certification exam combines both the domains and allocates 18% weighting to the domain.
The final domain in both the AWS Big Data and Data Analytics specialty certification exams deals with data security. The AWS Data Analytics certification exam streamlines the subtopics covered in the AWS Big Data Specialty certification in this domain. Therefore, you can notice that this domain accounts for 18% of the questions in the Data Analytics certification exam. On the other hand, this domain accounts for almost 20% of questions in the Big Data specialty certification exam.
Which One are You Going to Target?
Now, you should start your AWS Certified Data Analytics exam preparation with the information presented here. As a matter of fact, you can clear off many doubts regarding the AWS Data Analytics specialty certification. The next course of action for candidates after the AWS Certified Big Data vs Data Analytics specialty comparison should be the search for reliable training courses.
In the long run, candidates can find this guide helpful for overcoming any doubts regarding basic information about the exams. When you approach your preparations with clarity about the exam, you are more likely to score success. Enroll for the AWS Data Analytics Specialty Practice Tests or the AWS Big Data Specialty Practice Tests and get started with your preparations right now to make sure you have a promising career ahead!
So, start your preparations right now for a promising career ahead!
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