NoSQL, Big Data, and Spark Foundations Specialization

Springboard your Big Data career. Master fundamentals of NoSQL, Big Data, and Apache Spark with hands-on job-ready skills in machine learning and data engineering.

Instructors: IBM Skills Network Team +6 more

What you'll learn

  •   Work with NoSQL databases to insert, update, delete, query, index, aggregate, and shard/partition data.
  •   Develop hands-on NoSQL experience working with MongoDB, Apache Cassandra, and IBM Cloudant.
  •   Develop foundational knowledge of Big Data and gain hands-on lab experience using Apache Hadoop, MapReduce,  Apache Spark, Spark SQL, and Kubernetes.
  •   Perform Extract, Transform and Load (ETL) processing and Machine Learning model training and deployment with Apache Spark.

    • Skills you'll gain

  •   Applied Machine Learning
  •   Apache Cassandra
  •   Machine Learning
  •   NoSQL
  •   PySpark
  •   Apache Hive
  •   IBM Cloud
  •   Database Management
  •   MongoDB
  •   Scalability
  •   Distributed Computing
  •   Supervised Learning

    • Specialization - 3 course series

    In the final course you will use Spark for ETL processing, and Machine Learning model training and deployment using IBM Watson.

    Introduction to Big Data with Spark and Hadoop

    Machine Learning with Apache Spark

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