Pentaho and Think Big Analytics have entered into a partnership focused on helping customers achieve measurable results from massive amounts of machine-generated data. With several joint device-data user engagements already completed, the two companies initially will focus on this fast-growing market opportunity.
Think Big Analytics and Pentaho recently implemented a Hadoop-based solution on NetApp's E-Series storage to address SLA and capacity limitations in NetApp's phone-home processing.
Pentaho provides a big data analytics solution that supports the entire big data analytics process, from discovering and preparing data sources, to integration, visualization, analysis. and prediction. Think Big Analytic's data science and engineering services and Pentaho's products deliver applications that include the following:
- Modern, scalable, flexible architecture integrating leading technologies such as Hadoop, NoSQL, real-time dashboards, and scalable streaming services.
- Full capture of all historical data.
- Blended data sets from different data sources - hardware, software, CRM, transactions, system logs, mobile, social and web.
- Predictive data science models such as identifying capacity limits and bottlenecks, root cause analysis, failure risk analysis, and upgrade requirements.
"The speed and volumes of data coming from sensors, mobile apps, ecommerce, email and social media presents many challenges for data managers keen to leverage legacy infrastructure investments, contain storage and hardware costs and embrace new big data processing technologies," said Eddie White, executive vice president of business development at Pentaho, in a statement. "Yet, data is useless if you don't have the right analytics and integration technology strategy and architecture to enable you to extract and quickly visualize valuable information. This partnership helps enterprises quickly overcome these hurdles, pairing Think Big Analytics consulting expertise with Pentaho's data flow management capabilities to move data from one source to another."
"The number and types of devices emitting valuable data back to organizations is growing at unprecedented rates. Capturing 100 percent of that data and extracting meaningful, actionable information from it requires a modern architecture with device-oriented applications sitting on top of it," said Ron Bodkin, founder and CEO of Think Big Analytics, in a statement. "Analyzing external device data can greatly benefit all departments within an organization, including customer service, sales, product planning, marketing, operations and IT."