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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.
Overview
Syllabus
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Course 1: Introduction to NoSQL Databases
- Offered by IBM Skills Network. This course will provide you with technical hands-on knowledge of NoSQL databases and Database-as-a-Service ... Enroll for free.
Course 2: Introduction to Big Data with Spark and Hadoop
- Offered by IBM Skills Network. Bernard Marr defines Big Data as the digital trace that we are generating in this digital era. In this ... Enroll for free.
Course 3: Data Engineering and Machine Learning using Spark
- Offered by IBM Skills Network. Organizations need skilled, forward-thinking Big Data practitioners who can apply their business and ... Enroll for free.
