Your Browser is Out of Date

Nytro.ai uses technology that works best in other browsers.
For a full experience use one of the browsers below
Design Guide — Oracle Big Data SQL on Dell EMC PowerFlex
Introduction Solution architecture Solution components Phase I: Infrastructure design and deployment Network design Phase II: Storage design Phase III: Oracle 19c database design and deployment Hadoop cluster design and deployment
Introduction
Configuring the Cloudera Manager Server
Configuring Cloudera Hadoop from Cloudera Manager Server
Configuring Big Data SQL Oracle NoSQL design and deployment Microsoft SQL Server design and deployment Oracle Gateways design and deployment Generate and load data References Appendix A

Introduction

Introduction

  • Hadoop is an ecosystem of open-source components that fundamentally change the way enterprises store, process, and analyze their data. Unlike traditional systems, Hadoop enables multiple types of analytic workloads to run on the same data, simultaneously, at massive scale on industry-standard hardware[2].

    Hadoop’s infinitely scalable flexible architecture is based on the HDFS file system. HDFS allows organizations to store and analyze unlimited amounts and types of data in a single open-source platform on industry-standard hardware. Hadoop can quickly integrate with existing applications and transform complex data using multiple data access options like Apache Hive, or Apache Pig for batch processing, or Apache Spark for fast in-memory processing.

    While there are several vendors for Hadoop, our tested configuration implemented Cloudera Hadoop.

    There are two steps to configure Cloudera Hadoop:

    1. Configure the Cloudera Manager Server.
    2. Configure Cloudera Hadoop from Cloudera Manager Server.

    Both steps are described in the following sections