Big Data Concept

  Introduction to Sisense and the Embedded Analytics Landscape In the era of big data, organizations are increasingly seeking ways to integrate analytics directly into their applications and workflows to drive real-time, data-driven decisions. Sisense, a leading business intelligence (BI) platform, specializes in embedded analytics, enabling businesses to seamlessly incorporate AI-powered insights into their products and processes. Founded in 2004 and headquartered in New York, Sisense has evolved from a traditional BI tool to a developer-first platform focused on embedding analytics within SaaS applications, enterprise systems, and customer-facing products. This chapter explores how Sisense leverages its no-code, low-code, and pro-code capabilities, along with generative AI, to streamline big data analytics and deliver actionable insights where users need them most. What is Sisense? Sisense is a cloud-based analytics platform designed to simplify the process of preparing, analy...

  Introduction In today's data-driven world, organizations face the challenge of managing vast amounts of data while leveraging it for actionable insights and innovative AI applications. Databricks, founded in 2013 by the creators of Apache Spark, has emerged as a leading cloud-based platform that unifies big data processing, machine learning, and artificial intelligence (AI) within a single, scalable framework. Built on the innovative lakehouse architecture, Databricks combines the flexibility of data lakes with the governance and performance of data warehouses, offering a robust solution for enterprises aiming to harness data and AI at scale. This chapter explores the core components, capabilities, and transformative potential of Databricks as the unified AI platform for big data and machine learning. The Databricks Data Intelligence Platform The Databricks Data Intelligence Platform is designed to democratize data and AI, enabling organizations to manage, analyze, and operati...