Easily and Accurately Bring ALL Data to Any Analytic Tool


✅ Unify big-data of all types into knowledge

✅ Easily scale up BI and analysis to all your data sources

✅ One search gets data from all sources

✅ New knowledge driven approach simplifies the most complex data architectures





Datanova’s Data Unifier (DU) is the best in class product for Unification and Visual Discovery of Big-Data. DU connects ALL data types, and simplifies complex data architectures for analysis. DU stitches together traditional and NoSQL databases, structured and unstructured data, reports, and documents so that all your data can be accessed in one place, all at one time - without having to replicate a single byte.

DU helps find hidden patterns and create new insights without programming or scripting. DU enables users with varying technical skill levels to produce high quality data products and analysis.

DU is pre-integrated with various data sources and popular analysis tools such as Power BI™, Tableau™ and Qlik™. Deployment is rapid and low impact. DU can unify data without replication, rekeying, or changing underlying databases or data models.

EASY

Simple and powerful visual data discovery. No scripting or programming needed. Eliminate repetitive data prep.

BEST FOR BIG DATA

DU’s patent pending tech is best-in-class for NoSQL-databases and non-traditional data such as text, geo, binary etc.

SCALE COMPLEXITY™

Simplify without losing quality. Unify and analyze unlimited data sources of any type. Catalog, Govern, and manage change.

SEE THE BIG PICTURE

Break silos, capture and unify knowledge spread across the enterprise. Create a common data layer.

KNOWLEDGE IS POWER

DU knowledge models are more expressive than any other product. Retain and socialize SME knowledge.

DATA QUALITY AND QA

Knowledge Models are real-time, lossless, and vastly improve data quality. Add quality assurance to analysis.


Rapid and Agile Deployment

There is knowledge hidden in the data. It is this knowledge that the analyst really needs to use. However, the analyst needs to wade through data-complexity to get to it. DU extracts and combines the knowledge from numerous data sources into a Knowledge Model. This presents a consistent, unified, & high-quality picture of the enterprise to all users.

Once system complexity has been abstracted behind a Knowledge Model, easy visual tools allow the user to discover and use the data in new and powerful ways. Users can slice, dice, combine, infer, and use relationships without any scripting or programming.

The data can then be analyzed in tools like Datanova’s Data Science Office™, which uses the power of cluster computing to join and analyze big data. DU connects to tools like Power BI™, Tableau™ and Qlik™.


Create a Common Knowledge Layer

Your approach to data integration is the most impressive we've seen.

- R&D Head of Fortune 50 Company


The Achilles heel for BI & analyses is data quality and complexity. The BI & analysis must be easy to consume, but the underlying data architecture is usually too difficult for most users. This degrades the value of BI with most self-serve tools, making them unsuitable.

Data Unifier’s new paradigm overcomes the weaknesses of traditional data-prep tools. DU delivers more accurate analysis faster. All analysts will simply work off a high-quality knowledge model instead of repeatedly plying numerous data sources.

DU training-time for analysts is typically under two hours.


New Paradigm is Easier and More Accurate than Competing Tools

  • Best-in-class for Big data
  • Easily scales up to complex systems
  • Knowledge models improve quality
  • Open standards prevent vendor lock in
  • Data governance - indipensible for long term success
  • Quality assurance for analysis data


Summary Specification

OPERATING SYSTEMS

  • Red Hat Enterprise Linux 5 (x64)
  • Red Hat Enterprise Linux 6 (x64)
  • CentOS 5 (x64)
  • Microsoft Windows Server 2008 R2+
  • Microsoft Windows 7, 8, 8.1 64-bit
ANALYSIS
  • Datanova Data Science Office™
  • Microsoft Power BI™
  • Tableau™
  • Qlik™
DATA SOURCES
  • Relational - MySQL, PostgreSQL, MS SQL Server, Oracle, JDBC/ODBC, SQLite, Azure
  • NoSQL - MongoDB, Accumulo, ElasticSearch
  • File systems - HDFS, Linux, and Windows
  • ASCII, XML, JSON, JSON-LD, RDF TTL/other, CSV/TSV, Spark
  • Excel™ XLS/XLSX/ XLSM, PDF, HTM/HTML/XML, MDB/ACCDB
  • Qlik QVX, SAS SAS7BDAT, Tableau TDE
  • Spatial Data Files
VIRTUALIZED ENVIRONMENTS
  • Microsoft Azure
  • Amazon EC2
  • VMware ESX (private cloud deployments)
BIG COMPUTING
  • Hadoop Enabled: YES
  • Spark Enabled: YES
MIN HARDWARE
  • 8GB RAM
  • 30GB Disk Space
  • 2 Core CPU




     Call - 1.877.619.6682

     Email - info@datanovasci.com