Category: Big Data Beginner

  • A quick tour on Big Data and Business Intelligence

    This course is devoted to beginners and practitioners of Big Data and AI fields. It will be a quick overview of some basic concepts that could be further elaborated by professionals. Ranging from CAP theorem to Turing assumption, we will provide a starting guide for diving in these fascinating topics. https://www.classcentral.com/course/big-data-business-intelligence-203537

  • Big Data Analysis with Scala and Spark (Scala 2 version)

    Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we’ll…

  • Big Data Strategies to Transform Your Business

    While big data infiltrates all walks of life, most firms have not changed sufficiently to meet the challenges that come with it. In this course, you will learn how to develop a big data strategy, transform your business model and your organization. This course will enable professionals to take their organization and their own career…

  • Software Architecture Patterns for Big Data

    The course is intended for individuals looking to understand the architecture patterns necessary to take large software systems that make use of big data to production. You will transform big data prototypes into high quality tested production software. After measuring the performance characteristics of distributed systems, you will identify trouble areas and implement scalable solutions…

  • Fundamentals of Software Architecture for Big Data

    The course is intended for individuals looking to understand the basics of software engineering as they relate to building large software systems that leverage big data. You will be introduced to software engineering concepts necessary to build and scale large, data intensive, distributed systems. Starting with software engineering best practices and loosely coupled, highly cohesive…

  • Applications of Software Architecture for Big Data

    The course is intended for individuals who want to build a production-quality software system that leverages big data. You will apply the basics of software engineering and architecture to create a production-ready distributed system that handles big data. You will build data intensive, distributed system, composed of loosely coupled, highly cohesive applications. This course can…

  • Software Architecture for Big Data

    This specialization is for software engineers interested in the principles of building and architecting large software systems that use big data. Through three courses you will learn about how to build and architect performant distributed systems from industry experts at Initial Capacity. This specialization can be taken for academic credit as part of CU Boulder’s…

  • Big Data Computing with Spark

    Big data systems such as Hadoop and Spark emerge as enabling technologies in managing massive amounts of data across hundreds or even thousands of computing nodes. Meanwhile, cloud computing platforms have made these technologies easily accessible to individuals as well as large enterprises. This course is an online adaptation of the signature course MSBD 5003…

  • Google Cloud Big Data and Machine Learning Fundamentals

    This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud. https://www.classcentral.com/course/gcp-big-data-ml-fundamentals-8234

  • Web Intelligence and Big Data

    The past decade has witnessed the successful of application of many AI techniques used at `web-scale’, on what are popularly referred to as big data platforms based on the map-reduce parallel computing paradigm and associated technologies such as distributed file systems, no-SQL databases and stream computing engines. Online advertising, machine translation, natural language understanding, sentiment…

Big Data Labs
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