The Big Data Architect closely collaborates with the customer and the solutions architect to change its business requirements into a Big Data solution. The Big Data Architect has in-depth knowledge of the relevant technologies, understands the relationship between those technologies, and can be integrated and combined to effectively solve any given big data business problem.
This individual can design large-scale data processing systems for the enterprise and provide input on architectural decisions, including hardware and software. The Big Data Architect also understands data complexity and can design systems and models to handle complex data variety, including (structured, semi-structured, unstructured), volume, velocity (including stream processing), and veracity. The Big Data Architect can also effectively address information governance and security challenges associated with the system.
IBM Certified Data Architect - Big Data Certification Essentials
This IBM certification requires an exam IBM Big Data Architect. This test consists of 5 sections, including a total of 55 multiple-choice questions. The rates after each section title indicate the relative distribution of the total question set across the areas.
Each Test:
- Contains questions requiring single and multiple answers. For multiple-answer questions, you need to choose all the required options to get the answer correct. You will be told how many options make up the right answer.
- It is designed to provide diagnostic feedback on the Examination Score Report, correlating back to the test objectives, informing the test taker how they did each test section. As a result, to keep the integrity of each test, questions and answers are not distributed.
- An IBM Certified Big Data Architect had demonstrated proficiency in the design, implementation, and combination of Big Data solutions within the IT enterprise or cloud-based environments. Depending on the exam format chosen, accomplishing the Big Data Architect Certification can require passing a single exam or multiple exams.
How to Become An IBM Big Data Architect?
Follow these steps to seek a career as an IBM Big Data Architect:
- Earn an education. A bachelor’s degree in a field such as computer science, computer engineering, or information technology is the essential entry-level requirement for a job as a data architect. A master’s degree can be useful if you are seeking positions in leadership and larger corporations.
- Gain work experience. Getting an entry-level job as a data architect will expect you to show some level of involvement in managing data and data systems. Internships, workshops, and boot camps you created and maintained methods could be useful to list on your resume. You may also require to gain experience in other IT positions before applying to jobs as a data architect.
- Earn certifications. You can take an order of software and IBM Big Data Architect program certification from nonprofit agencies and the companies that make the software. Completing one or more certifications can show your general understanding of the subject and dedication to the field.
- Build a resume. List your education, skills, and job experience, with the most critical and recent experience first, along with the organizations' names and the length of time you worked there. It would be best to tailor your resume to the specific job for which you are applying.
What Does An IBM Big Data Architect Do?
An IBM Big Data Architect helps a company understand its strategic goals regarding data management and controls with software designers and data engineers to generate new database integration plans. Data architects must have vital business intelligence to work with higher-level officials in a company and assess their particular needs. Keeping aware of industry trends, data architects create a new platform for many people and in many areas.
Data architects are also managing scheduling updates and improvements to the database they have created with minimum contact with the company. This can mean that a data architect must work long hours and on the weekends to complete projects and updates on time.
Misconceptions About the Role of an IBM Big Data Architect
Data Architects are not: A lot of things! Here is a description of what parts Data Architects from Data Analysts, Data Engineers, and Data Scientists.
Essential Metrics for an IBM Big Data Architect
Data Architects are often included in creating and executing an organization’s overall data strategy and setting enterprise-wide quality metrics.
Here are several ways to measure and evaluate the success of a data solution:
- KPIs for Data Architecture
- The Data Quality Cycle
- Critical Factors in Architecting a Master Data Solution
Think You Have What It Takes?
Do you have the data-driven mindset it takes to make it as a data architect? Do you love helping businesses find efficiencies through the intelligent capture and analysis of raw data? If so, you are in luck - companies are paying closer attention to the insights gleaned from data. And using that information to their benefit is impossible without people like you.
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