Working with Spark for big data analytics

Apache Spark is an open-source unified analytics engine for large-scale data processing. It is designed to be fast and general-purpose, making it ideal for big data processing tasks such as data preparation, machine learning, and graph processing. In this tutorial, we will cover the basics of working with Spark for Continue Reading

Big Data Analytics with Apache Spark

Apache Spark is an open-source, distributed computing system used for big data processing and analytics. It is designed to be faster, more efficient and easy to use than its predecessors like Hadoop MapReduce. Spark allows you to process large amounts of data in-memory, thereby providing high speed analytics and machine Continue Reading

Implementing Azure Stream Analytics for data streaming

Introduction: Azure Stream Analytics is a cloud-based real-time analytics service provided by Microsoft that helps to process and analyze high-speed data streams from multiple sources. It integrates with various Azure services such as Azure Event Hubs, Azure IoT Hub, and Azure Blob Storage, and allows processing of data from cloud-based Continue Reading