2/29/2024 0 Comments Big data architect certification![]() There are other avenues for you to enhance your expertise and build on your credibility as a big data architect.Ĭonsider pursuing advanced certification in big data courses and garner professional certifications for completing them. Garner Master’s degree and professional certifications. Then, continue improving your skills in development management, database design, warehousing, and modeling. In your internship and work experience, aim to develop yourself in network management, performance management, and application architecture. You can first take on entry-level positions in database administration or programming. You can apply for internships at companies in the field of information technology (IT) where you can exercise practical skills applications in the industry, and develop professionalism.īefore becoming a big data architect, you may also need three to five years’ work experience at IT and similar companies with demonstrated excellent project implementation. Obtain relevant experience in applying your skills.īig data architecture doesn’t typically come as an entry-level position.Īs such, it’s best if you first obtain as much relevant experience as early as you can.ĭoing so lets you hone your skills further and eventually land you a job in big data architecture. Lastly, you must have in-depth knowledge of your industry, big data top trends, and best methods for data collection, organization, storage, and analysis. Resourcefulness and innovative problem-solving are integral, too, in creating new solutions and as technologies progress. Teamwork and leadership skills are essential as big data architects usually lead project implementation. It helps if you have an acute eye for detail as well because any coding issues may require the company millions of dollars to fix. Outstanding communication prowess is also necessary when working with collaborating with colleagues and relaying findings and solutions to audiences with no technical background. This lets you assess your industry’s big data and support your company executives. ![]() Foundational database skills, or RDMSs (relational database management systems)īesides technological know-how, you need to have astute business and marketing insight.Data warehouse technologies such as Cassandra, Hadoop, MapReduce, Accumulo, MongoDB, Redshift architecture, Hive.Data modeling tools, like Impala, Zookeeper, Flume, Mahoot, Sqoop, Enterprise Architect, Visio, and ERWin.ERP implementation and agile methodologies.Database management system software, like Microsoft SQL Server.Databases like cloud computing and NoSQL.Predictive modeling, text analysis, and NLP.Application server software, especially Oracle.BI visualization tools like Tableau, R Studio, Apache Zeppelin.Programming languages, specifically Java and Python, including Perl and C/C++.Enterprise application integration software such as XML.Operating systems, plus MS Windows, Linux, UNIX, and Solaris.Information management and data processing on multiple platforms.These technologies and hard skills include the following: To excel in becoming a big data architect, you need to hone both the soft and hard skills required for the job.Īs a big data architect, you are seen as someone that’s heavily trained, able to work with profoundly distinct data, and well-versed in multiple programming languages and related technologies. These subjects are crucial in building your background knowledge and skills in big data architecture. Your academic curriculum should cover big data developments, application design, programming, data management, web development, operating systems, technology architectures, and systems analysis, among others. That may be information technology, computer engineering, computer science, or a similar field. Your first step to becoming a big data architect is to pursue a relevant undergraduate degree. If you are serious about becoming a big data architect, then allow me to share with you these crucial points. If you were to become a big data architect, then you’d be in a very good position to help them. Industries and companies across different sectors are keen on leveraging data to increase their revenue and grow their business. If volumes of data and their framework intrigues you, then big data architecture sounds like a fitting assignment for you. Let me guess: You’re thinking of becoming a big data architect, aren’t you?
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