Big Data Architecture Review
Our Big Data Architecture Review approach provides expert recommendations by joining your business, architecture and use case objectives and align them with your overall strategy. We develop tailored plans, integrating your short-term delivery targets with long-term business goals. The resulting architecture is strategic and designed to scale seamlessly to support your full vision and roadmap…
Kylo: Boosting Business Returns with Faster and Smarter Data Lakes
Over the past several years, organizations building Hadoop-enabled data lakes have often struggled with the challenges that come with custom engineering open source solutions. Most organizations in this position are willing to absorb the pain of early adoption for the promise of big data insights. However, when data is lodged in silos, locked-down due to … Continued
Kylo: Delivering Enhanced Data Lake Value with Open Source Solutions
Capturing and processing big data isn't easy. That's why Apache products such as Spark, Kafka, Hadoop and NiFi that scale, process and manage immense data volumes are so popular. The drawback is that they do not make data flows easy for business users to access, optimize and analyze. Kylo, from Think Big, overcomes that challenge. It lets businesses easily configure and monitor data pipelines in and through the data lake so users have constant access to high quality data. It also enhances data profiling and discovery with extensible metadata.
Driving Customer Outcomes
At Think Big, how do we help our customers succeed with big data? We start with a commitment to our Velocity Services, a set of services including: Strategy & Architecture; Data Lake; Analytic Solutions; Data Science; Managed Services; and Training that help to drive rapid value from the business...
Data Science Analytics
We at Think Big think that Data Science should be a business-led effort. Our Data Science teams have helped customers with problems as diverse as predicting failure of engines on ships, building churn models to predict when users are likely to leave transportation services and helping customers build real-time personalization for consumer engagement in a large-scale video streaming environment. Operationalized analytics, for us, is when we are able to leverage all analytics capabilities in production, at scale, to benefit the whole enterprise.
The Think Big Velocity™ Services
Velocity = Speed + Direction. Our Velocity Services help customers drive value from their business. The methodology and framework allows our Data Scientists and Data Engineers. When we engage with our clients, we show up with a set of best practices, principles, process assets and technology assets, enabling us to work with any tool, on any platform to facilitate that velocity.
While many organizations have managed to implement Hadoop and other big data solutions successfully, data management, performance and security paradigms remain. Getting business value from Hadoop and maintaining the service levels isn't automatic. Coupled with the ever evolving broader Hadoop ecosystem, it's becoming increasingly difficult for organizations to keep their big data consultants' skills updated. With this in mind, Think Big has developed a battle-tested Managed Services solution to deliver business value via Hadoop.
Data Lake Foundation
At Think Big, we have years of experience delivering business outcome-led solutions by using cutting-edge technologies in the Hadoop ecosystem. Our expertise helps you to maintain governance and keep your data trusted, secure and ready for analytics. We offer a portfolio of services with predefined deliverables, scope and price, enabling you to gain predictable big data spend and outcomes.
Big Data Strategy Definition
The Think Big Big Data Strategy Definition service delivers the detailed information required to build a comprehensive big data strategy. Our team of experts establish a set of high-level 'Roadmap of Opportunity' use cases, designed to drive value in both the short and long-term. We also guide you through available tools and hosting solutions to ensure you adopt the best-suited options that will drive your results.
Big Data Roadmap
Organizations worldwide are just getting started incorporating big data into their operations, and many are unsure where they will get the best ROI. Without a solid, well-considered plan in place, many companies waste months, if not years in trying to deploy complex big data programmes that produce little or no returns. To that end, Think Big's Big Data Roadmap service provides organizations with the vital structure required for their big data journeys quickly and economically, introducing tangible business outcomes from the outset.
Big Data Platform Development
Based on our expertise from over 150+ projects, our Big Data Platform Development service supports customers at whatever stage they are of their journey. We tailor solutions by offering world-class Data Engineering, Data Science and Delivery of complex big data programs to work alongside your team. The combination of these skill sets to build production grade solutions with an overarching focus on business outcomes sets us apart from vendor solutions and system integrators.
Training Overview – Think Big Academy
Think Big Academy is the world’s leading independent big data training provider, helping you to learn about, utilize and apply new technologies to capitalize on business opportunities. Due to the ever–evolving nature of the big data landscape, it is critical to have a deep understanding of these emerging technologies that could have a positive impact on increasing the value derived from big data implementations and being able to deal with tomorrow’s challenges today.
Big Data Capability Assessment
In the tremendously competitive marketplace, the adoption of the multi-phased, big data strategy separates the distinguished leaders from the laggards. However, as these complex programmes often span years rather than months, it is imperative that organizations understand what the different facets of a big data strategy are and how to measure capabilities to align them with the business objectives. With these challenges in mind, Think Big has developed unique new offering, Big Data Capability Assessment.
Buyer’s Guide to Open-source Big Data
This buyer’s guide discusses how to analyze and evaluate the big data technology landscape so that you can make the right decisions to meet your business objectives. Although this guide will work through examples of how to evaluate specific technologies, the core purpose is to provide a framework to discern the best choices for your … Continued
Navigating the Big Data Journey
While Hadoop is a maturing technology, there are still many companies experimenting with big data initiatives, and other companies that don’t exactly know where or how to begin. As technology continuously changes, charting a successful course for big data investments is no easy task – even for organizations that have moved beyond the pilot phase.
Definitive Guide to the Data Lake
It would be an understatement to say that the hype surrounding the data lake is causing confusion in the industry. As the data lake term begins to come off its hype cycle and face the pressures of pragmatic IT and business stakeholders, the demand for clear data lake definitions, use cases and best practices continue to … Continued
Think Big Data Lake Services
Think Big has had years of experience delivering business solutions and navigating how best to use cutting-edge technologies in the Hadoop ecosystem. Through our service engagements, we can help you add just the right amount of governance to help keep your data trusted, secure and ready for analytics.
Driving Open-source Adoption Within the Enterprise
Ron Bodkin explains how Teradata drives open-source adoption inside enterprises through a range of initiatives, from direct contributions, to open-source projects designed to address key enterprise requirements to orchestration software that integrates Hadoop with other components of the analytical ecosystem, providing enterprises with the technical expertise required to fully leverage the benefits of open-source in … Continued
Strata + Hadoop 2015 – What We’ve Learned in 5 Years
How Think Big is helping a global organization utilize multi-petabyte Hadoop clusters to drive tangible business results. Highlights in this presentation will include how this company is using best practices for data ingestion across multiple manufacturing facilities in Asia and the US, utilizing robust patterns for handling data quality, metadata management, pipelining, buffering, and security … Continued
Ron Bodkin at BIGDATANYC 2015 – The Cube Interview
“People reach for real-time and streaming engines where it’s not really important for the use case”, according to Ron Bodkin, founder and president of Think Big, a Teradata company. Referring to the current trend towards real-time, Ron called it “hype technology” and says that many times, companies think that they need true, real-time analytics when … Continued
HGST Data Lake and Operational Analytics Case Study
Western Digital’s Corporation’s HGST brand helps organizations harness the power of data to unlock greater business potential through a broad portfolio of systems and storage solutions. HGST’s smarter storage solutions are everywhere, touching lives and enabling possibilities for the cloud, enterprise and sophisticated infrastructures, powering the markets and companies that shape our lives. HGST is … Continued
Asset Management Firm Gains Data-Driven advantage with Big Data Solutions
Asset management firms face a mountain of regulatory and competitive pressures, from evolving technoogies and increased regulations to shifting demographics. One major asset management firm with trillions of dollars of managed assets has flourished for several decades by adapting to shifting market pressures and making financial expertise and exceptional customer service easily accessible for a … Continued
Digital Media Company Uses Big Data to Drive More Revenue from Real-time Ad Auctions
Advertisers need access to audiences and strategic media curation. Publishers need demand for inventory and support of their monetization strategy. Both face a common challenge to streamline the transaction process, while effectively and efficiently managing budgets to free up time to think, create and innovate.