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What is ZetaAnalytics?

In order to make the most of the ZetaAnalytics product, having a compatible database appliance is vital for setting up the Data Warehouse. Landmark has confirmed that the ZetaAnalytics software works seamlessly with various systems, such as Teradata, EMC Greenplum, and IBM Netezza; for the most current approved versions, consult the ZetaAnalytics Release Notes. Before installing and configuring the ZetaAnalytics software, it is imperative to verify that your Data Warehouse is operational and ready for data exploration. As part of the installation process, you will need to run scripts that establish the necessary database components for Zeta within the Data Warehouse, which requires access from a database administrator (DBA). Furthermore, ZetaAnalytics depends on Apache Hadoop for both model scoring and streaming data in real time, meaning that if you haven't already set up an Apache Hadoop cluster in your environment, you must do so prior to running the ZetaAnalytics installer. During the installation, you will be asked to input the name and port number of your Hadoop Name Server along with the Map Reducer. Following these instructions carefully is essential for a successful implementation of the ZetaAnalytics product and its functionalities. Additionally, ensure that you have all required permissions and resources available to avoid any interruptions during the installation process.

What is Hadoop?

The Apache Hadoop software library acts as a framework designed for the distributed processing of large-scale data sets across clusters of computers, employing simple programming models. It is capable of scaling from a single server to thousands of machines, each contributing local storage and computation resources. Instead of relying on hardware solutions for high availability, this library is specifically designed to detect and handle failures at the application level, guaranteeing that a reliable service can operate on a cluster that might face interruptions. Many organizations and companies utilize Hadoop in various capacities, including both research and production settings. Users are encouraged to participate in the Hadoop PoweredBy wiki page to highlight their implementations. The most recent version, Apache Hadoop 3.3.4, brings forth several significant enhancements when compared to its predecessor, hadoop-3.2, improving its performance and operational capabilities. This ongoing development of Hadoop demonstrates the increasing demand for effective data processing tools in an era where data drives decision-making and innovation. As organizations continue to adopt Hadoop, it is likely that the community will see even more advancements and features in future releases.

Media

Media

Integrations Supported

Apache Bigtop
Apache Cassandra
Apache Parquet
Apache Phoenix
Azkaban
Brainwave GRC
ContextIQ
IBM Analytics Engine
Kylo
Microsoft Power Query
NFVgrid
Okera
OpenText Analytics Database (Vertica)
PacketRanger
SAS Federation Server
SOLIXCloud
SOLIXCloud CDP
Salesforce Data Cloud
Value Innovation Labs Enterprise HRMS
iFinder

Integrations Supported

Apache Bigtop
Apache Cassandra
Apache Parquet
Apache Phoenix
Azkaban
Brainwave GRC
ContextIQ
IBM Analytics Engine
Kylo
Microsoft Power Query
NFVgrid
Okera
OpenText Analytics Database (Vertica)
PacketRanger
SAS Federation Server
SOLIXCloud
SOLIXCloud CDP
Salesforce Data Cloud
Value Innovation Labs Enterprise HRMS
iFinder

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Halliburton

Company Website

www.halliburton.com

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

hadoop.apache.org

Categories and Features

Oil and Gas

Compliance Management
Equipment Management
Inventory Management
Job Costing
Logistics Management
Maintenance Management
Material Management
Project Management
Resource Management
Scheduling
Work Order Management

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

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