Documents
  • Invariant Documents
  • Platform
    • Data Platform
      • Install Overview
      • System Requirement
      • Software Requirement
      • Prepare the Environment
      • Installing Ambari Server
      • Setup Ambari Server
      • Start Ambari Server
      • Single Node Install
      • Multi-Node Cluster Install
      • Cluster Install from Ambari
      • Run and monitor HDFS
    • Apache Hadoop
      • Compatible Hadoop Versions
      • HDFS
        • HDFS Architecture
        • Name Node
        • Data Node
        • File Organization
        • Storage Format
          • ORC
          • Parquet
        • Schema Design
      • Hive
        • Data Organization
        • Data Types
        • Data Definition
        • Data Manipulation
          • CRUD Statement
            • Views, Indexes, Temporary Tables
        • Cost-based SQL Optimization
        • Subqueries
        • Common Table Expression
        • Transactions
        • SerDe
          • XML
          • JSON
        • UDF
      • Oozie
      • Sqoop
        • Commands
        • Import
      • YARN
        • Overview
        • Accessing YARN Logs
    • Apache Kafka
      • Compatible Kafka Versions
      • Installation
    • Elasticsearch
      • Compatible Elasticsearch Versions
      • Installation
  • Discovery
    • Introduction
      • Release Notes
    • Methodology
    • Discovery Pipeline
      • Installation
      • DB Event Listener
      • Pipeline Configuration
      • Error Handling
      • Security
    • Inventory Manager
      • Installation
      • Metadata Management
      • Column Mapping
      • Service Configuration
      • Metadata Configuration
      • Metadata Changes and Versioning
        • Generating Artifacts
      • Reconciliation, Merging Current View
        • Running daily reconciliation and merge
      • Data Inventory Reports
    • Schema Registry
  • Process Insight
    • Process Insight
      • Overview
    • Process Pipeline
      • Data Ingestion
      • Data Storage
    • Process Dashboards
      • Panels
      • Templating
      • Alerts
        • Rules
        • Notifications
  • Content Insight
    • Content Insight
      • Release Notes
      • Configuration
      • Content Indexing Pipeline
    • Management API
    • Query DSL
    • Configuration
  • Document Flow
    • Overview
  • Polyglot Data Manager
    • Polyglot Data Manager
      • Release Notes
    • Data Store
      • Concepts
      • Sharding
    • Shippers
      • Filerelay Container
    • Processors
    • Search
    • User Interface
  • Operational Insight
    • Operational Insight
      • Release Notes
    • Data Store
      • Concepts
      • Sharding
    • Shippers
      • Filerelay Container
    • Processors
    • Search
    • User Interface
  • Data Science
    • Data Science Notebook
      • Setup JupyterLab
      • Configuration
        • Configuration Settings
        • Libraries
    • Spark DataHub
      • Concepts
      • Cluster Setup
      • Spark with YARN
      • PySpark Setup
        • DataFrame API
      • Reference
  • Product Roadmap
    • Roadmap
  • TIPS
    • Service Troubleshooting
    • Service Startup Errors
    • Debugging YARN Applications
      • YARN CLI
    • Hadoop Credentials
    • Sqoop Troubleshooting
    • Log4j Vulnerability Fix
Powered by GitBook
On this page
  1. Platform

Data Platform

Platform

PreviousInvariant DocumentsNextInstall Overview

Last updated 4 years ago

The Invariant Data Platform is designed to power your enterprise analytical needs. It integrates key Hadoop[1] components which allow you to continuously ingest and analyze large amount of data in near real time and make informed business decisions. Invariant provides data management and orchestration tooling that makes it easy, fast, and cost-effective to process vast amounts of data across servers in your datacenter.

Our goal is to build data management tools and analytics driven applications. To that end, we have put together a platform which build upon the Apache Hadoop ecosystem. The platform leverages the raw processing power of Hadoop, the near real time data streaming prowess of Kafka and the search capabilities of Elasticsearch and makes them seamlessly work together.

The current version 1.0.9 includes the following components

  • Apache Hadoop 2.7.3

  • Elasticsearch 7.8

The platform provides a set of architectural capabilities that the other modules can build upon.

Key Features

  • Scale up from single server to large clusters with thousands of machines

  • Based on Open data standards to ensure broad tool support and data portability

  • SQL supports so analysts can use familiar modeling tools