Big Data Heralding a Change in the Digital World, One Byte at a Time!
Data is the fundamental building block of any organisation. Any transactional data helps analyse how well your organisation is performing as well as optimize your operations for better results. With digitisation making its mark everywhere, it is not an easy task to keep track of the data pouring in from all directions. Organisations have to deal with transactional logs, social data, structured, unstructured, and semi-structured data, which are all going to be captured in a digital format. The traditional methods of simply storing data in a common database go for a toss with such large volumes of data.
Key Considerations While Estimating Manual and Automated Testing Efforts
To achieve a goal, it is important to estimate the effort and resources required to accomplish the different tasks involved in reaching that goal. Having estimated figures wind up close to the actual ones helps deliver the intended results per the defined schedules.
Cloud or Data Center — Where’s the Best Place for Your Data?
Clients often ask us questions about whether it’s better to have a data center for a company’s digital assets or be in the cloud. Because a dedicated data center doesn’t have to be at a client location, it is easy to get confused about these concepts.
Using Hadoop for a Successful Big Data Testing Strategy
In a world that produces more than 2.5 quintillion bytes of data per day, it is not a matter of ’if’ but ’when’ a software firm will have to face an assignment involving enormous datasets or “Big Data”. Along with the challenges it poses to mainstream programming, Big Data also demands radically new approaches to testing due to the sheer enormity and heterogeneous nature of constituent data. Traditional testing methods of simply executing read/write queries are no longer sufficient and a much more complex process needs to take their place.