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Big Data 50 - Companies Driving Innovation in 2018

Helping to transform complex data into actionable insights, Cloudera recently launched a new version of the Cloudera Data Science Workbench, a platform that lets data scientists manage their own analytics pipelines, thus accelerating machine learning projects from exploration to production.  

CloverDX helps companies tackle tough data challenges. For individuals or small groups that strive to take on a new approach and challenge the status quo within an organization, the CloverDX Data Integration Platform and our consultancy services will help deliver tangible, real-world results.

A provider of data governance and catalog software, Collibra helps organizations gain competitive advantage by maximizing the value of their data across the enterprise and addressing the gamut of data stewardship, governance, and management needs of the most complex, data-intensive industries.

Built with NoSQL technology, the Couchbase Data Platform was architected for “the massively interactive enterprise,” and offers its geo-distributed Engagement Database to provide developer agility and manageability, as well as high performance at any scale—from cloud to the edge.

Powering the “Right-Now Enterprise” with an always-on, distributed cloud database, built on Apache Cassandra and designed for hybrid cloud, DataStax Enterprise gives businesses full data autonomy, allowing them to retain control and strategic ownership of their data in a hybrid cloud world.

Denodo Technologies
A provider of data virtualization software, Denodo helps organizations to achieve faster and easier access to unified business information for agile BI, big data analytics, web and cloud integration, single-view applications, and enterprise data services.

Big Data Trailblazer by Ravi Shankar, CMO

Big data has given rise to data lakes and enabled many use cases that were not possible earlier—multidimensional analysis, IoT integration, and offloading data storage among other things. However, the earlier presumption that data lake will become the single repository for the entire enterprise has not materialized. The reason being that many enterprises have still kept the legacy technologies while adding new data lakes for specific lines of businesses like marketing, sales, and customer service. As a result, the data has become further siloed across the new big data systems and legacy infrastructure.

Fortunately, there is a way to unify the data across the enterprise irrespective of its location, format, or latency, and all without having to replicate the data into another central repository. That solution is data virtualization. It is part of a big data fabric that integrates the entire enterprise information and delivers it to business users in real time. As a data abstraction layer, it hides the complexities of accessing data from the underlying data systems, their formats and structures. Unlike ETL (Extract-Transform-Load), it does not replicate the information into another repository.

Denodo is a leader in data virtualization. Many Fortune 1000 organizations like Autodesk, Logitech, and Vizient rely on Denodo for enabling critical big data solutions within their organizations. Analysts such as Forrester Research have acknowledged Denodo as “Today, several large Fortune 1000 companies leverage Denodo to support their mission-critical data virtualization strategies.” Denodo continues to innovate on data virtualization with support for in-memory fabric, data cataloging, and enterprise-wide deployments.

It is easy to take Denodo on a self-test-drive.

Visit www.denodo.com/test-drive.


Now a standalone company, erwin, Inc., announced its evolution to “the data governance company” in January 2018, and has acquired A&P Consulting and most recently AnalytiX DS as part of that focus.

Big Data Trailblazer by Adam Famularo, CEO

erwin Helps Solve the Enterprise Data Dilemma

Most organizations don’t use all the data they’re flooded with to reach deeper conclusions about how to grow revenue, achieve regulatory compliance or make strategic decisions. They face a data dilemma: not knowing what data they have or where some of it is—plus integrating known data in various formats from numerous systems without a way to automate that process.

To accelerate the transformation of business-critical information into accurate and actionable insights, organizations need an automated, real-time, high-quality data pipeline. Then every stakeholder—data scientist, ETL developer, enterprise architect, business analyst, compliance officer, CDO and CEO—can fuel the desired outcomes based on reliable information.

erwin delivers the integration and automation that simplifies the total enterprise data management and governance lifecycle. Its persona-based erwin EDGE Platform creates an “enterprise data governance experience” that facilitates collaboration between both IT and the business to discover, understand and unlock the value of data both at rest and in motion.

By bringing together enterprise architecture, business process modeling, data mapping and data modeling around a data governance hub, the erwin EDGE helps organizations get a handle on how they manage their data. The broadest set of metadata connectors and automated code generation, data mapping and cataloging tools gives users the most agile, efficient and cost-effective means of launching and sustaining comprehensive data governance.

Ultimately, the erwin EDGE provides greater efficiencies to technical users and better, more dependable analytics to business users.

erwin, Inc.

An early innovator in AI and supplier of semantic graph database technology with expert knowledge in developing and deploying cognitive computing solutions, Franz counts dozens of Fortune 500 companies among its customers—spanning the healthcare, intelligence, life sciences, telecommunications, and research sectors.

Big Data Trailblazer by Jan Aasman, CEO

AllegroGraph—Semantic Graph Database for Knowledge Graphs

Artificial Intelligence (AI) is one of the top investment areas for companies looking to improve ROI on operations and products, and to create customer 360 views. Using AI to create “Enterprise Knowledge” and link it across the Enterprise to create a “Knowledge Graph” is a key differentiator for companies in an ever-increasing competitive landscape. The foundation for Knowledge Graphs and Artificial Intelligence lies in the facets of semantic technology provided by Franz’s AllegroGraph database. Semantic Graph databases, such as AllegroGraph, provide the core technology environment to enrich and contextualize the understanding of data. The ability to rapidly integrate new knowledge is the crux of the Knowledge Graph and depends entirely on semantic technologies.

An early innovator in Artificial Intelligence, Franz Inc. is a leading supplier of Knowledge Graph solutions with Semantic Graph Database technology as the foundation. If you really want to develop your corporate Knowledge Graph and address complex Artificial Intelligence problems, you need a data system that goes beyond just data. You have to create a system that can link to anything outside your own predefined parameters—and that can learn from previous experiences. That is where a Semantic Graph Database, like AllegroGraph, comes into the picture.

Franz Inc. provides a variety of services as part of its Knowledge Graph platform solution: from architectural consulting and technical seminars to training. Franz’s flagship product, AllegroGraph, provides the necessary power and flexibility to address high-security data environments such as HIPAA access controls, privacy rules for banks, and security models for policing, intelligence, and government.

Contact Franz Inc. to unleash the potential of your Company’s Knowledge Graph.

Franz, Inc.

Providing a real-time data integration solution that supports enterprise digitization efforts, the HVR platform offers a reliable, secure, and scalable way to move large data volumes in complex environments, enabling real-time data updates, access, and analysis.

One of the largest IT companies in the world, IBM is “putting smart to work” with innovative big data solutions and services spanning AI and machine learning, cloud, blockchain, Hadoop, and Spark.

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