![]() Who should take this Big Data Architect Training? Concepts from the Hadoop admin and testing are also covered. A live project is covered at the end of the course which covers all the concepts like MapReduce, Yarn, HBase, Hadoop ecosystem and its analytical tools. You will be learning the complete Hadoop ecosystem and its analytical tools like a pig, hive, sqoop, scale and spark. What you will learn in Big Data Architect course? We teach from the basics assuming learners as fresh minds and focus on every individual learning path. Our training is for the professionals who are looking for the job change and professionals who are shifting their careers to Big Data Hadoop. We have updated our content especially for the latest tools like scala and spark where most of the Hadoop Developers are using nowadays. Learners are focused to learn analytical insights from the big data using tools like a pig, hive, sqoop, impala and live streaming tools like Kafka. Our intense course curriculum is set by experts which are feasible to have complete hands-on experience with one real-time live industry project. We offer one-to-one technical and personal support in achieving your learning goals in Hadoop Big data. You will be trained on a real-time industry based project. Our Big Data experts would be teaching you libraries like HDFS, hive, sqoop, pig, spark, and scale in the Hadoop ecosystem. For financing, our organization is eligible for the Compte Personnel de Formation (CPF) or the Bildungsgutschein in Germany.GoLogica Big data Architect course helps you to become an expert in Data Analytics on Big Data. Our training courses adopt a hybrid blended learning approach, effectively combining asynchronous learning on a coached platform and collective Masterclasses.Īll our courses can be completed remotely via BootCamp, Continuing Education or sandwich courses. Our courses are designed by professionals to help you master databases, data engineering techniques, data modeling tools and data manipulation languages such as SQL and Python.īy following our courses, you can receive a certificate from Mines ParisTech PSL Executive Education, validate block 3 of the state-approved RNCP 36129 “Project Manager in Artificial Intelligence” certification, and prepare for AWS or Microsoft Azure cloud certification. Our Data Engineer, Data Analyst, Data Scientist, Data Management and Data Product Manager training courses will enable you to enter this profession. They have learned from their experience in data management and data warehousing.įor Data Architect training, choose DataScientest. However, many Data Architects have evolved from the role of Data Engineer, Data Scientist or Solutions Architect. It requires an understanding of the system development life cycle, project management and testing techniques. This profession requires expertise in mathematics and computer science, and the ability to analyze and communicate statistical information. That’s why companies are looking for experts who have undergone certification and diploma training.Ī Data Architect must master databases and related software, cloud computing, data modeling, and the creation of diagrams representing data entities and their relationships. However, designing a data architecture is an essential task. According to the US Bureau of Labor Statistics (BLS), database and data-related jobs will increase by 8% between 20. On job search platforms, numerous positions are available in a wide variety of industries including consulting, financial services, healthcare, higher education, hospitality, logistics and retail.Īnd the trend is set to continue, as data is increasingly used in business. ![]() In fact, there are an increasing number of job offers for Data Architects. It’s a role in high demand the world over. In France, according to Glassdoor and, the average annual salary for a Data Architect is 63,000 euros. Annual salaries range from $81,000 to $162,000 per year. According to PayScale, the median salary for a Data Architect is $124,548 per year in the USA. That’s why these professionals are highly paid. ![]() In all sectors, organizations crucially need an expert capable of understanding their technical needs to exploit Big Data. The profession of data architect is highly sought-after in the enterprise.
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