Tag Archives: Business Intelligence

WEBINAR: Real-Time Data Ingestion and Streaming Analytics with Oracle and Hortonworks

November 24th, 2016 at 10am BST / 11am CEST


Organizations today are looking to exploit modern Data Architectures that combine the power and scale of Big Data Hadoop platforms with operational data from their Transactional Systems. In order to react to situations in an agile manner in real-time, low-latency
access to data is essential.

Hortonworks and Oracle can provide comprehensive solutions that allow organisations to respond rapidly to data events.



During this webinar we will cover:

  • How Oracle GoldenGate empowers organisations to capture,route, and deliver transactional data from Oracle and non-Oracle databases for ingestion in real-time to HDP :registered:.
  • How GoldenGate complements HDF providing optimised delivery to Hadoop targets such as HDFS, Hive, Hbase, NoSQL, Kafka, to support customers with their real-time big data analytics initiatives.
  • How Oracle GoldenGate enables uses cases for analysis of data in motion

Attend this webinar to learn how Hortonworks and Oracle can help you with your real-time big data analytics and streaming initiatives!


Why Self Service Data Wrangling Speeds Up Time to Value

By Sandrine Riley-Oracle on Sep 09, 2016

Oracle’s Big Data Preparation Cloud Service (BDP) provides value in analytics and data management projects at any scale. It empowers business users to process complex business data of any source, size and format; from small departmental data to large enterprise data to massive IOT and log data. The service is the only data wrangling tool using a unique combination of Machine Learning, Natural Language Processing leveraging a semantic knowledge graph in the Cloud. This means that it is more efficient in mapping relationships and making more accurate repair and enrichment recommendations. Are you curious?  Check out this short BDP Video to have BDP explained to you!

Image result for big data prep oracle

It is becoming more evident that Data Preparation is important in speeding time to value.  Due to growing data volumes, and siloed data, businesses are finding that further and faster growth can be achieved via better data, of which one preliminary step is that of preparing, enriching, and wrangling the data.  With the help of Forrester, 160 IT decision makers from around the world were surveyed, which yielded great clues and information on the growing importance of streamlining the data preparation and data to deliver cutting-edge business insights.

READ the Technology Adoption Profile:  Data Preparation Accelerates Self-Service.

Oracle’s cloud based technology with Oracle Big Data Preparation helps to bridge the IT-Business gap, showing how self service data wrangling, when done right imparts great value, provides rich recommendation and helps streamline and automate the data preparation pipeline.  Oracle Big Data Preparation Cloud Service provides an agile, intuitive interface that automates, streamlines, and guides the process of data ingestion, preparation, enrichment, and publishing of data targeted at the data integration needs of the data steward and IT.

To learn more about Oracle Big Data Preparation Cloud Service, visit us at our websites here and here.  We hope you find this research compelling!

Original Post

About the Author:

Sandrine Riley

Product Management – Data Integration Solutions at Oracle

Sandrine Riley

The future of data modeling has arrived!

The future of data modeling has arrived!

ER/Studio 2016 Launch Webinar | 2nd February | 1:00 PM GMT


We’re excited to kick off the new year with the launch of ER/Studio 2016. Register now for our webinar on 2nd February, where you’ll learn about how the new features and capabilities in this release can help you build your business-driven data architecture.


13:00 London
14:00 Berlin / Milano / Paris
15:00 Helsinki / Istanbul


ER/Studio 2016: Build a Business-Driven Data Architecture

ER/Studio is the complete business-driven data architecture solution that combines data modeling, business process, and application modeling and reporting with cross-organizational team collaboration for data architectures and enterprises of all sizes.



What’s New in 2016

Business Data Objects
You can now group your entities/tables in to Business Data Objects. These objects allow you to better describe your business concepts by grouping entities or tables that share a common relationship in to a visible container.

Model/Submodel NSTs
You can now bind Naming Standards Templates to Models and Submodels

Windows 10 Support
You can now install your favorite Data Modeling software on your newest OS.

Teradata Support
We now support Teradata 15.x.

Teradata Enhancements

  •  Period Datatypes.
  • Temporal Datatypes.
  • Teradata JSON Support.

SQL Azure Support
Microsoft SQL Azure is now fully supported for all operations.

VIDEO: Superior Data Modeling Techniques for Teradata users

Taking your Teradata Database to the Next Level

As a Teradata customer, you already know that managing your data is a big job. Perhaps you’ve been wishing for a database tool to help you do that more efficiently. Your wish has been granted!

ER/Studio includes first-tier support for Teradata, enabling data professionals to better manage their data warehouses from logical and physical models. Teradata is recognized as a leading provider in very large scale mission critical enterprise data warehouses, and their customers have come to rely on these features to obtain best functionality and performance.

Watch this 10 minute Teradata video on demand to see how ER/Studio can help you:

  • Use ALTER scripts to make modifications to a Teradata database
  • Leverage MLPPI to improve the performance of certain queries and high-volume insert, update and delete operations
  • Manage your historical data with temporal data types

With a dedicated approach to helping data management professionals raise the bar, ER/Studio can help save you time with powerful data modeling and architecture tools to meet the evolving demands of today’s data warehouse environments.