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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Oracle Big Data Service simplifies the deployment of Hadoop clusters for customers, offering a range of VM configurations from 1 OCPU up to dedicated bare metal setups. Users can select between high-performance NVMe storage or more budget-friendly block storage options, and have the flexibility to adjust the size of their clusters as needed. They can swiftly establish Hadoop-based data lakes that either complement or enhance existing data warehouses, ensuring that all data is both easily accessible and efficiently managed. Additionally, the platform allows for querying, visualizing, and transforming data, enabling data scientists to develop machine learning models through an integrated notebook that supports R, Python, and SQL. Furthermore, this service provides the capability to transition customer-managed Hadoop clusters into a fully-managed cloud solution, which lowers management expenses and optimizes resource use, ultimately streamlining operations for organizations of all sizes. By doing so, businesses can focus more on deriving insights from their data rather than on the complexities of cluster management.

Description

Effortlessly leverage your entire system's data with our SHREWD Platform, which features advanced tools and open APIs. The SHREWD Platform is equipped with integration and data collection tools that support the operations of various SHREWD modules. These tools consolidate data and securely store it in a UK-based data lake. Subsequently, the data can be accessed by SHREWD modules or through an API, allowing for the transformation of raw information into actionable insights tailored to specific needs. The platform can ingest data in virtually any format, whether it’s in traditional spreadsheets or through modern digital systems via APIs. Additionally, the system’s open API facilitates third-party connections, enabling external applications to utilize the information stored in the data lake when necessary. By providing an operational data layer that serves as a real-time single source of truth, the SHREWD Platform empowers its modules to deliver insightful analytics, enabling managers and decision-makers to act promptly and effectively. This holistic approach to data management ensures that organizations can remain agile and responsive to changing demands.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Hadoop Yes 
Oracle Cloud Infrastructure Yes 

Integrations

Hadoop No 
Oracle Cloud Infrastructure No 

Pricing Details

$0.1344 per hour
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Oracle

Founded

1977

Country

United States

Website

www.oracle.com/big-data/big-data-service/

Vendor Details

Company Name

Transforming Systems

Founded

2009

Country

United Kingdom

Website

www.transformingsystems.com/shrewd/platform/

Product Features

Big Data

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

Product Features

Big Data

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

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