Category: Big Data Beginner

  • Hadoop Administration – Cloudera Hadoop on AWS

    This course covers the following learning outcomes and goals: understanding Amazon Web Services (AWS) basics, setting up Hadoop on AWS, learning Hadoop administration with CDH5 on AWS, configuring HDFS, mastering HDFS commands, setting up MapReduce v1 and MRv2 + YARN, and preparing for Hadoop certifications (HDPCA, CCAH). The course teaches individual skills such as AWS…

  • Cloudera Hadoop Administration

    This course on Cloudera Hadoop Administration aims to teach learners how to install, configure, and manage a CDH cluster using Cloudera Manager. By the end of the course, students will be able to add various services like HDFS, YARN, and Zookeeper, integrate OpenLDAP and HUE with Hadoop servers, enable Kerberos for security, configure high availability…

  • Google Cloud Big Data and Machine Learning Fundamentals

    This course introduces participants to the big data capabilities of Google Cloud.This course introduces participants to the big data capabilities of Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants get an overview of Google Cloud and a detailed view of the data processing and machine learning capabilities. This course showcases the…

  • Microsoft Professional Capstone : Big Data

    The Microsoft Professional Program for Big Data is a comprehensive curriculum that teaches you how to build big data solutions. In this capstone project, you will undertake challenges to design, implement, and document a big data solution based on what you have learned. https://www.classcentral.com/course/edx-microsoft-professional-capstone-big-data-8648

  • Introduction to Big Data

    Learn what it takes to build Big Data analytics solutions. This is the first stop in the Big Data curriculum from Microsoft. It will help you get started with the curriculum, plan your learning schedule, and connect with fellow students and teaching assistants. Along the way, you’ll get an introduction to working with data and…

  • Deploying a Hadoop Cluster

    Learn how to tackle big data problems with your own Hadoop clusters! In this course, you’ll deploy Hadoop clusters in the cloud and use them to gain insights from large datasets. https://www.classcentral.com/course/udacity-deploying-a-hadoop-cluster-6274

  • Big Data Applications: Real-Time Streaming

    There is a significant number of tasks when we need not just to process an enormous volume of data but to process it as quickly as possible. Delays in tsunami prediction can cost people’s lives. Delays in traffic jam prediction cost extra time. Advertisements based on the recent users’ activity are ten times more popular.…

  • Hadoop Ecosystem Essentials

    For data analysts, Hadoop is an extremely powerful tool to help process large amounts of data and is used by successful companies such as Google and Spotify. On this four-week course, you’ll learn how to use Hadoop to its full potential to make it easier for you to store, analyse, and scale big data. Through…

  • Managing Big Data with R and Hadoop

    This course will give you access to a virtual environment with installations of Hadoop, R and Rstudio to get hands-on experience with big data management. Several unique examples from statistical learning and related R code for map-reduce operations will be available for testing and learning. Those with basic knowledge in statistical learning and R will…

  • MAPREDUCE – Big Data with Hands-on MapReduce

    Master concepts and applications of MapReduce in Big Data. MapReduce can be defined as the sub-module of Hadoop that offer huge scalability of data spread across numerous of commodity clusters. MapReduce comprises of two things that work consecutively to process the analytics. The process in both the different parts is done in a parallel manner…

Big Data Labs
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.