
Continuous Delivery in Big Data
The daily life of a developer is filled with monotonous and repetitive tasks. Fortunately, we live in a pre-artificial intelligence age, which means computers are great at handling boring chores […]
The daily life of a developer is filled with monotonous and repetitive tasks. Fortunately, we live in a pre-artificial intelligence age, which means computers are great at handling boring chores […]
Innovation in technologies like Artificial Intelligence and Machine Learning, but also business innovation is required to take advantage of the new reality in which value is increasingly created from intangible assets. […]
From Scala and Kubernetes to Google BigQueryML and Databricks’ MLFlow, in this month’s Big Data round-up we are sharing some of the most recent posts and announcements that caught the eye of […]
This animation explains in simple terms what is Big Data and when it’s time for a company to consider moving to a Big Data environment.
Coforge (Erstwhile WHISHWORKS), an expert MuleSoft Integration and Big Data services provider, has been successfully listed as an approved G-Cloud 10 supplier by the UK Government. Among the key inclusion […]
We asked delegates at the recent Big Data Analytics and MapR Convergence events in London, about their progress with implementing Big Data in their organisations. Here is what they told us.
When there is a continuous flow of data input, processing and output, this is when real-time or near real-time processing capabilities are required.
WHISHWORKS partners with Databricks to drive business value with Big Data Analytics, deeper customer insights and new competitive advantages
WHISHWORKS announced they are finalists under four categories in Computing’s Big Data Excellence Awards 2018.
To qualify for ‘Big Data’, you need to have a high volume of data that comes in at different speeds (velocity) and in different formats (variety)
Big Data is not expected to slow down any time soon. Healthcare and Retail, IoT and Cloud, as well as data security and processing will be key drivers.
Key developments of the past decade in the big data space and predictions for the near future; from the early Hadoop era to the data lake and data fabric eras.