Certified Data Engineer

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Course Highlights

Learner will develop the skills required to break into this booming field or brush up on what they already know about data warehousing and ETLs, data storage, and consuming a wide range of data sources.
DataMites can help them master important skills like Scala and Hadoop, as well as understand how to handle APIs on platforms like AWS.
Combo Certifications
Placement Records
Internship and Live project
Eligible for GOVT. OF INDIA Incentives

Create Relational databases using RDBMSs like MySQL, PostgreSQL, and IBM Db2.
SELECT, INSERT, UPDATE, DELETE statements, database functions, stored procedures, Nested Queries, and JOINS are used to create and execute SQL queries.
Show that you understand NoSQL and Big Data technologies like MongoDB, Cassandra, Cloudant, Hadoop, Apache Spark, Spark SQL, Spark ML, and Spark Streaming.
Design, fill, and deploy Data Warehouses with Bash, Airflow, and Kafka; build BI reports and interactive dashboards.
Organize the way you process data.
Machine learning algorithms should be used.

The Certified Data Engineer Course will give you competence in the real world data engineer work scale. The instruction provided by this learning path, together with relevant experience, can help you prepare.
Learn about the different aspects of Data Engineering and stay up to date on the cutting-edge tools and technology that work together to make a business successful.
Be thorough in designing and implementing data management, monitoring, security, and privacy using the entire stack of data services. Master the Data Engineering techniques used by the top Data Engineers!
The course will instil knowledge and abilities in the candidates and industry benchmarks in order to show potential employers that the individual is capable of developing and implementing enterprise data strategies.

Aspiring candidates who wish to make a career out of the data science field.
Database administrators, Business intelligence analysts who wish to advance their careers in data engineering.
Professionals in the analytics industry who desire to pursue data science as a profession.