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Big Data is a new technology for gathering, managing and processing large volumes of data in different formats. Its various innovative features set it apart from traditional technologies and mark a major break with the past.
Big Data has no need for the in-depth data schema design stage required for traditional relational databases. Indeed, it uses NoSQL, a mechanism allowing a single infrastructure to handle all of the following:
The second feature of Big-Data technology is its ability to handle huge volumes of data (of the order of Terabytes/Petabytes) generally at a fraction of the TCO of equivalent traditional systems. Big Data supports linear scalability and assures excellent data-handling performance by exploiting hardware architectures typically based on standard market components.
Big Data requires integrated teams with new professional skill sets. Like that of the
Data Scientist, for example. This data-analysis specialist with vertical competencies in Big-Data technologies – especially in data discovery and statistical analysis – must work alongside the business owners and Architecture/Integration experts to be able to produce fast results in an incremental approach.
The initial stages of a project no longer involve selecting information sources to use in the design (as in the traditional data-handling approach). Big Data turns this concept on its head by exploiting statistical techniques. The data “schema” is designed by looking at the entities that will need to be handled and the type of analysis to produce (reports/dashboards). With huge volumes of data that can be interrogated at stunning speed (with response times of the order of a tenth of a second per terabyte), the approach is genuinely revolutionary. Correlations between phenomena emerge from probing this body of data with statistical techniques and heuristics rather than predefined methods, as in the traditional approach. Big Data helps businesses “discover” the low-frequency, high-impact phenomena that are less known and more interesting in increasingly competitive, agile environments. In recent years, Reply has developed a range of expertise and formed close partnerships with the main players in the Big-Data platform arena. Some of them have a more traditional data-handling background and have only recently embraced Big-Data technologies, while others are the pure innovators that have helped to create this new market.
Cloudera develops and distributes Hadoop, the open-source software that powers the data-processing engines behind the world’s largest and most popular websites. Cloudera is now the market leader with tens of thousands of managed nodes, serving governments, telecoms, media, web, advertising, retail, energy, bioinformatics, pharmaceuticals/health, financial-services, university research, oil and gas, games and other markets. Reply offers services to set up the data platform for organisations to analyse and collect all their data – structured or otherwise – to address many of the problems affecting their business.
Hortonworks distributes the Hadoop Data Platform with a fully open-source model. Reply makes Hadoop available to customers through an offering that balances budgetary constraints with meticulous assistance to meet their business requirements, with a special focus on business-support and training services.
IBM was one of the first companies to embrace Big Data, and its BIG INSIGHT BLU offering helps clients exploit Big Data and analytics. Using solutions like BLU Acceleration for Cloud, clients can use advanced technologies to create in-memory databases for powerful, agile warehousing provided simply in the cloud. With this offering, in-house analysts and technicians can acquire invaluable self-service information quickly and easily.
Oracle’s comprehensive offering enables businesses to meet the Big-Data challenge using elite technologies and solutions covering the entire IT stack, from information-discovery technologies to engineered systems combining hardware and software designed for unrivalled power and speed.
Reply has years of experience with these technologies:
SAP HANA is a flexible platform that cuts the cost of operating data warehouses and lays the foundations for simplifying the IT infrastructure while boosting its power and functionality. SAP HANA gives real-time access to huge volumes of data within your organisation, enabling you to take decisions based on information from virtually any source, by instantly exploring and analysing the view provided.
Reply specialises in data-mining solutions powered by SAP HANA.
To support the information-governance process, organisations need a scalable, accurate and fast analytical platform that can distil vast quantities of data into the information required. SAS High-Performance Analytics can do it all, through strategic management of the information processes and the following functionality: