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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Effortlessly load your data into or extract it from Hadoop and data lakes, ensuring it is primed for generating reports, visualizations, or conducting advanced analytics—all within the data lakes environment. This streamlined approach allows you to manage, transform, and access data stored in Hadoop or data lakes through a user-friendly web interface, minimizing the need for extensive training. Designed specifically for big data management on Hadoop and data lakes, this solution is not simply a rehash of existing IT tools. It allows for the grouping of multiple directives to execute either concurrently or sequentially, enhancing workflow efficiency. Additionally, you can schedule and automate these directives via the public API provided. The platform also promotes collaboration and security by enabling the sharing of directives. Furthermore, these directives can be invoked from SAS Data Integration Studio, bridging the gap between technical and non-technical users. It comes equipped with built-in directives for various tasks, including casing, gender and pattern analysis, field extraction, match-merge, and cluster-survive operations. For improved performance, profiling processes are executed in parallel on the Hadoop cluster, allowing for the seamless handling of large datasets. This comprehensive solution transforms the way you interact with data, making it more accessible and manageable than ever.

Description

To effectively utilize the ZetaAnalytics product, a compatible database appliance is essential for the Data Warehouse setup. Landmark has successfully validated the ZetaAnalytics software with several systems including Teradata, EMC Greenplum, and IBM Netezza; for the latest approved versions, refer to the ZetaAnalytics Release Notes. Prior to the installation and configuration of the ZetaAnalytics software, it is crucial to ensure that your Data Warehouse is fully operational and prepared for data drilling. As part of the installation, you will need to execute scripts designed to create the specific database components necessary for Zeta within the Data Warehouse, and this process will require database administrator (DBA) access. Additionally, the ZetaAnalytics product relies on Apache Hadoop for model scoring and real-time data streaming, so if an Apache Hadoop cluster isn't already set up in your environment, it must be installed before you proceed with the ZetaAnalytics installer. During the installation, you will be prompted to provide the name and port number for your Hadoop Name Server as well as the Map Reducer. It is crucial to follow these steps meticulously to ensure a successful deployment of the ZetaAnalytics product and its features.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Hadoop
Impala
Microsoft 365
Microsoft Power BI
SAS Analytics for IoT
SAS Anti-Money Laundering
SAS Business Intelligence
SAS Business Rules Manager
SAS Customer Intelligence
SAS Data Management
SAS Data Quality
SAS Energy Forecasting
SAS Enterprise Miner
SAS MDM
SAS Risk Management

Integrations

Hadoop
Impala
Microsoft 365
Microsoft Power BI
SAS Analytics for IoT
SAS Anti-Money Laundering
SAS Business Intelligence
SAS Business Rules Manager
SAS Customer Intelligence
SAS Data Management
SAS Data Quality
SAS Energy Forecasting
SAS Enterprise Miner
SAS MDM
SAS Risk Management

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

SAS

Founded

1976

Country

United States

Website

www.sas.com/en_us/software/data-loader-for-hadoop.html

Vendor Details

Company Name

Halliburton

Website

www.halliburton.com

Product Features

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Product 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

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