Big Data

Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java. This certification course is designed to teach you how to publish and subscribe to streams of records, store streams of records in a fault-tolerant durable way, and process streams of records as they occur.

The Azure Data Engineer Certification (DP-203) course is designed for professionals who aim to implement and manage the data solution lifecycle on Microsoft Azure. This certification is geared towards data engineers who are responsible for data-related tasks such as integrating, transforming, and consolidating data from various structured and unstructured data systems into structures suitable for building analytics solutions.

The Big Data Hadoop Certification Training Course is designed to provide comprehensive knowledge and skills in Hadoop, an essential framework for handling large datasets in a distributed computing environment. The course covers all key aspects of Hadoop, including its core components and ecosystem technologies associated with it.

This course focuses on teaching professionals how to use big data technologies to uncover insights that can improve decision-making and business strategies. It combines concepts of data analysis, machine learning, and data visualization to enhance business intelligence (BI).

PySpark is the Python API for Apache Spark, an open-source, distributed computing system that provides an interface for programming entire clusters with implicit data parallelism and fault tolerance. The PySpark Online Training Course is designed to teach professionals how to use Python with Spark to handle big data processing jobs efficiently.

This comprehensive training course is designed to prepare participants for the Splunk Certified Power User and Splunk Certified Admin certifications. It covers the core skills needed to collect, index, search, report, and analyze operational intelligence data using Splunk.