The IBM Data Science with Scala program equips participants with the ability to apply Scala and Spark for statistics and machine learning tasks. Here are the key skills covered in this program: Scala and Spark: Participants learn how to use Scala and Apache Spark for data analysis and machine learning. They gain proficiency in preparing […]

The IBM Hadoop Programming (Level 2) program is designed to advance your Hadoop programming skills to the next level. In this course, you’ll learn how to use advanced features of the Hadoop ecosystem, including tools such as Spark, Hive, Pig, and Sqoop. By mastering these tools, you’ll be well-prepared to tackle complex data challenges and […]

The IBM Simplifying Data Pipelines with Apache Kafka program provides essential knowledge related to leveraging Apache Kafka for addressing data engineering needs. Here are the key points covered in this program: Kafka Architecture and Components: Participants gain insights into the architecture and components of Apache Kafka. They understand how Kafka allows geographically distributing data streams […]

IBM’s Spark – Level 1 training program provides a foundational understanding of Apache Spark, a powerful open-source big data processing framework. Here are the key details: Course Overview: Objective: Gain insights into Spark, its benefits, and practical usage. Skills Covered: Spark Basics: Understand what Spark is and its significance. Resilient Distributed Datasets (RDD): Learn to […]