SQL Data Analysis

SQL Data Analysis

Yohz Software
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About

Oracle Big Data SQL Cloud Service enables organizations to immediately analyze data across Apache Hadoop, NoSQL and Oracle Database leveraging their existing SQL skills, security policies and applications with extreme performance. From simplifying data science efforts to unlocking data lakes, Big Data SQL makes the benefits of Big Data available to the largest group of end users possible. Big Data SQL gives users a single location to catalog and secure data in Hadoop and NoSQL systems, Oracle Database. Seamless metadata integration and queries which join data from Oracle Database with data from Hadoop and NoSQL databases. Utilities and conversion routines support automatic mappings from metadata stored in HCatalog (or the Hive Metastore) to Oracle Tables. Enhanced access parameters give administrators the flexibility to control column mapping and data access behavior. Multiple cluster support enables one Oracle Database to query multiple Hadoop clusters and/or NoSQL systems.

About

Import data sets from your databases using SQL queries. Analyze your data sets using analysis tables and pivot tables. Discover new patterns and trends from your analysis. Share your discoveries using PDF reports, or export to Excel, HTML, and XML files. Get actionable insights from your SQL data sets in a fast and easy way. Sort, filter, group, and summarize your SQL data sets in whichever way you need. You can group columns in whichever order you require. This allows you to summarize your data in many possible ways, potentially uncovering new information or patterns. Create summaries for any columns, or even multiple summaries for the same column using different functions. View summaries in group headers, group footers, and column footers. Highlight exceptional values using flexible rules and formulas. Sort one or more columns in ascending or descending orders, in the sequence you require. Each column can be filtered to display only the data you want to see.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Organizations and enterprises looking for a solution to analyze data and unlock data lakes

Audience

Individuals interested in a solution to get actionable insights from their SQL data sets

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$45 one-time payment
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Oracle
Founded: 1977
United States
www.oracle.com/big-data/big-data-sql/

Company Information

Yohz Software
Malaysia
www.yohz.com/sda_details.htm

Alternatives

Alternatives

InstaDB

InstaDB

Atinea
Apache Phoenix

Apache Phoenix

Apache Software Foundation

Categories

Categories

Integrations

Collate
Oracle Database
AnalyticsCreator
Azure SQL Database
Docker
Firebird
HTML
Hadoop
Kubernetes
Legion AI
MariaDB
Microsoft Access
Microsoft Excel
MySQL
PostgreSQL
SQL Server
Supaboard
XML

Integrations

Collate
Oracle Database
AnalyticsCreator
Azure SQL Database
Docker
Firebird
HTML
Hadoop
Kubernetes
Legion AI
MariaDB
Microsoft Access
Microsoft Excel
MySQL
PostgreSQL
SQL Server
Supaboard
XML
Claim Oracle Big Data SQL Cloud Service and update features and information
Claim Oracle Big Data SQL Cloud Service and update features and information
Claim SQL Data Analysis and update features and information
Claim SQL Data Analysis and update features and information