The “Raw Data -> Aggregated Data -> Contextual Intelligence ->
Analytical Insights -> Decisions” is a differentiating
causal chain separating winners from the rest today.
Bringing consistency, repeatability, reuse and process to this information supply chain requires discipline.
As companies have become more global and complex – and simultaneously more integrated – the need for cross-collaboration and more leverage of available resources via a shared services model has become a priority.
Cubic aggregator is hadoop based big data solutions for real time analytic insights from Cubic Analytics. Cubic analytics is developing what it says is an “all-in-one” business intelligence platform for Hadoop.
Cubic Analytics and Cloudera are working together to provide design and implementation for building two way data movement between Hadoop clusters and the data warehouse. Each brings unique large scale parallel processing skills to resolve difficult large-scale architectures. Working together, these experts are able to tackle large-scale designs that would otherwise be difficult for IT organizations.
IBM InfoSphere BigInsights brings the power of Hadoop to the enterprise. Apache Hadoop is the open source software framework, used to reliably managing large volumes of structured and unstructured data.
BigInsights enhances this technology to withstand the demands of your enterprise, adding administrative, workflow, provisioning, and security features, along with best-in-class analytical capabilities from IBM Research.
Companies, today, are facing a dynamic market environment that not only demands constant realignment of strategic business goals & directions, but also creates a need for rapid planning and implementation of comprehensive solutions, to adapt to changes in the business environment. We help them to make right decisions based on the analytics.
Cubic is a leading solution provider in big data analytics, enabling the powerful combination of cost-effective storage and ultra-fast analysis of new sources and types of data. Massively parallel software solution that embeds MapReduce analytic processing with data stores for deeper insights on new data sources and types to deliver new analytic capabilities with breakthrough performance and scalability.
Partnership with Cloudera
Provides an intuitive user interface for creating, managing, and monitoring MapReduce jobs, supporting Cloudera's Distribution for Hadoop
Facilitates ease of integration of data stored in Hadoop with other data sources
Provides business users powerful visualizations and analysis on data stored in Hadoop
Big Data presents an opportunity to create unprecedented business advantage and better service delivery. It also requires new infrastructure and a new way of thinking about the way business and IT work.
IBM InfoSphere BigInsights brings the power of Hadoop to the enterprise. Apache Hadoop is the open source software framework, used to reliably managing large volumes of structured and unstructured data. BigInsights enhances this technology to withstand the demands of your enterprise, adding administrative, workflow, provisioning, and security features, along with best-in-class analytical capabilities from IBM Research. The result is that you get a more developer and user-friendly solution for complex, large scale analytics.
Built upon the same world-class technology that powers Amazon.com, Amazon Web Services (AWS) provides businesses with a secure, reliable, easy-to scale, low-cost computing platform "in the cloud." Companies of all sizes, from all around the globe use AWS to build applications, store data, manage business processes, and more.
With Amazon Web Services, you pay only for what you use, with no up-front expenses or long-term commitments.
Business partner for IBM working on most prominent technoliges like BigInsight and built own products powered by IBM Technologies.
By using Hadoop , enterprises can perform high-performance data integration, replication and messaging and get reports quickly.
Together the enterprises can move numerous terabytes per hour of transaction, interaction and streaming data.
In addition to parsing and processing a range of structured and unstructured data natively in Hadoop—all without scripting.