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 to Alteryx and Big Data Challenges In today’s data-driven world, organizations face the daunting task of managing and analyzing vast amounts of data from diverse sources. Big data preparation—cleaning, transforming, and integrating raw data into a usable format—is a critical yet time-consuming step in the analytics process. Traditional methods, such as manual Excel manipulations or complex coding in Python or SQL, often lead to inefficiencies, errors, and bottlenecks. Alteryx, a leading self-service data analytics platform, addresses these challenges by offering a no-code, user-friendly interface that empowers both technical and non-technical users to streamline big data preparation with automation and AI-driven tools. This chapter explores how Alteryx transforms data preparation, making it faster, more accessible, and scalable, while leveraging generative AI to enhance insights and decision-making. Alteryx Streamlining Big Data Preparation with No-Code AI Tools Wh...