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 […]

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 […]

Databricks Accredited Lakehouse Platform Fundamentals is an accreditation that validates your understanding of fundamental concepts related to the Databricks Lakehouse Platform. Here are the key details: Certification Overview: Description: This accreditation assesses your knowledge about the Databricks Lakehouse Platform. Focus Areas: Basics: Understand the essentials of the Databricks Lakehouse Platform. Lakehouse Architecture: Describe the architecture […]

The CloudxLab Webinar on Scalable Machine Learning is an informative session that delves into the world of scalable machine learning. Here are the key details: Objective: The webinar aims to provide insights into building scalable machine learning systems. Participants will learn about best practices, tools, and techniques for handling large-scale data and models. Topics Covered: […]