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If you would like to find out what Big Data can deliver for your enterprise, please get in touch here.Contact
Consultancy, analytics, visualisation.
At WHISHWORKS we help you unlock the Big Data opportunity, by cutting it to a size and shape that fits your requirements. From programming framework to visualisation and compliance, we partner with the best to deliver the best.
Whether you are planning a new data initiative, revising your data strategy, upgrading your architecture or simply want to improve outcomes, WHISHWORKS can help you gain clarity on how to derive real business value from your data.
We work with an ecosystem of Big Data partners, including Hortonworks, MapR and Cloudera, to ensure that you get the most value from your investment.
We offer flexible 24x7, 9x7 or 8x5 platinum, gold and silver support options to proactively monitor and support your Big Data architecture. Our expert support teams are dedicated to keeping your applications running.
WHISHWORKS comprehensive managed services offering is designed to give you the peace of mind, the responsiveness and the flexibility you need in turning data into actionable insights.
A data lake is a large-scale repository of many types of enterprise data, stored in its native format. Types might include structured, semi-structured, or unstructured state, like databases, tagged data, text messages or video.
By storing all information in a single repository, all data is available for analysis, removing the need to hunt for it, transform it, or integrate systems before running Big Data initiatives.
This single data pool unifies the enterprises’ data until the schema and data requirements are defined for query, using business analytics and data mining tools.
Big data is a term for data sets –both structured (eg databases) and unstructured (eg patient records)– that are too large or complex for traditional applications to process.
The reason Big Data has gained such momentum in the past decade is the acceleration of the amount of data generated and stored, enabled by the advancements in digital transformation and storage technologies. A new economy is emerging driven by companies that leverage data proliferation with the help of these technologies, and bigger organisations are starting to realise that they need to catch up if they want to remain competitive.
There are two main challenges organisations face when dealing with big data. The first concerns the ability to access and process the data, which comes in different shapes and forms and may reside in legacy systems, in proprietary formats and/or in different locations. The second challenge has to do with the ability to understand the potential of data and derive accurate, actionable insights.
Despite the challenges, one thing is certain. The insights that can be gained by analysing and actioning an organisation’s Big Data can have tremendous impact across industries and functions.
The architecture defines the value and insight an enterprise can derive from Big Data.
Big Data systems and solutions architecture is a complex design incorporating the volume, variety, and velocity of the all the data generated from around the enterprise. The ELT (extracted, loaded, and transformed) data is used for Big Data and data lakes.
The architecture must be scalable and able to deal with constantly changing tools, software and technological advancement. Efficient planning around capacity, infrastructure, security, and deployment forms the basis of a robust Big Data architecture.
Big Data analytics involves deep understanding and examining of very large data sets to produce actionable insight from identifiable patterns that help organisations make informed business decisions.
Technological advancements mean analytics brings benefits in both speed and accuracy.
For the best in security, reliability, real-time performance, and reporting for open data platforms and applications, our Big Data partners are the power behind the world’s data economy.
Business Information Analyst,
WHISHWORKS’ solution enabled us to achieve our business objectives and goals with increased service levels, demonstrating a high level of expertise by effectively implementing the project to the agreed timelines and going a level beyond what we thought was achievable.
Hadoop & Partner