Monthly Subscription Starting at AED 99 + VAT

Level Foundation
Course by IBM
Offered by

About

Big Data Engineers and professionals with NoSQL skills are highly sought after in the data management industry. This Specialization is designed for those seeking to develop fundamental skills for working with Big Data, Apache Spark, and NoSQL databases. Three information-packed courses cover popular NoSQL databases like MongoDB and Apache Cassandra, the widely used Apache Hadoop ecosystem of Big Data tools, as well as Apache Spark analytics engine for large-scale data processing. You start with an overview of various categories of NoSQL (Not only SQL) data repositories, and then work hands-on with several of them including IBM Cloudant, MonogoDB and Cassandra. You’ll perform various data management tasks, such as creating & replicating databases, inserting, updating, deleting, querying, indexing, aggregating & sharding data. Next, you’ll gain fundamental knowledge of Big Data technologies such as Hadoop, MapReduce, HDFS, Hive, and HBase, followed by a more in depth working knowledge of Apache Spark, Spark Dataframes, Spark SQL, PySpark, the Spark Application UI, and scaling Spark with Kubernetes. In the final course, you will learn to work with Spark Structured Streaming Spark ML - for performing Extract, Transform and Load processing (ETL) and machine learning tasks. This specialization is suitable for beginners in the fields of NoSQL and Big Data – whether you are or preparing to be a Data Engineer, Software Developer, IT Architect, Data Scientist, or IT Manager.

Auto Summary

Embark on a transformative learning journey with the "NoSQL, Big Data, and Spark Foundations" specialization, perfect for aspiring Big Data Engineers and data management professionals. This comprehensive program, offered by Coursera under the expert guidance of seasoned instructors, delves deep into the dynamic realm of Data Science and AI. Designed to equip you with essential skills, the specialization covers three engaging courses focusing on popular NoSQL databases such as MongoDB and Apache Cassandra, the intricate Apache Hadoop ecosystem, and the powerful Apache Spark analytics engine. You'll start by exploring various NoSQL data repositories and gain hands-on experience with IBM Cloudant, MongoDB, and Cassandra, mastering tasks like database creation, replication, querying, indexing, and sharding. Next, you will build a solid foundation in Big Data technologies, including Hadoop, MapReduce, HDFS, Hive, and HBase, before diving into advanced Apache Spark topics. Learn to harness Spark Dataframes, Spark SQL, PySpark, and scale Spark with Kubernetes. The final segment introduces you to Spark Structured Streaming and Spark ML, empowering you to perform ETL and machine learning tasks. This specialization is ideal for beginners and professionals preparing for roles as Data Engineers, Software Developers, IT Architects, Data Scientists, or IT Managers. With flexible subscription options starting at the Starter level, you can tailor your learning experience to suit your pace and schedule. Join now and unlock the potential of Big Data with foundational knowledge and practical skills that are highly sought after in today's data-driven world.