Big Data

Blog posts about Big Data

Nov. 16, 2017, 11:47 a.m.
When applying a magnifying glass to data which has data quality all is seamlessly perfect. In the past, data was relatively easy to understand, and so the concept of data quality had little importance. If data had poor quality then somebody would have to spend a few days working through all the pieces of paper which contained them to fully grasp order out of the chaos and that was the end of...
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Feb. 17, 2017, 2:16 p.m.
Data quality is essential when getting big data to work properly. What is big data? Big data are data which are so large and complex that it can be challenging to produce meaningful information from them. However, large quantities of raw data captured and stored in your data lake, or your data warehouse, have limited value in themselves. They are not considered big data until they are ana...
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Jan. 27, 2017, 7:57 a.m.
Spotless Data's prediction for 2017 is that data quality is going to be a new buzzword! There is no doubt both that data itself has been one of the key themes of the last few years, and that the other popular tech subjects of the moment, such as artificial intelligence, machine learning, robotics, the internet of things, and big data, are all related to data, without which none of these ...
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Nov. 14, 2017, 11:40 a.m.
Miniature cleaners cleaning a laptop symbolises the importance of data cleaning. The need for data cleaning has never been so important in a world dominated by big data, which are of no use at all unless they have been suitably cleaned, and by artificial intelligence, which is about as smart as a wet blanket if it is working with data which have not undergone a thorough data cleaning process...
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Oct. 13, 2017, 5:45 a.m.
Without veracity, expressed through data quality, your big data are worse than useless, a positive menace. The three traditional Vs to describe big data are volume, variety, and velocity, and, between them, they portray basic characteristics of data which are so vast and complex that they have been given this memorable name, one of the buzzwords of the present era. For us at Spotless Data, h...
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Aug. 18, 2017, 7:59 a.m.
Recruiting a data science team to manage big data is no easy task but easier when you already use Spotless Data's machine learning filters. Managing your big data is no longer a task that only tech companies specialising in artificial intelligence require. Until recently big data managers only really existed in big IT companies with billions of dollars of resources while simple data mana...
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July 7, 2017, 7:58 a.m.
Big data analytics are complicated but much less so when the data have been properly cleaned. Continuing the blog on big data and analytics. Part 1 can be found here. Different varieties of data While data come from various sources and have differing file formats, an issue which is generally fixed by data cleaning the data and placing them all into a single data warehouse, there is a s...
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June 23, 2017, 1:55 p.m.
Big data has so many different aspects, but all of them need to be quality data to be useful rather than worse than useless You can also read part 2 of this big data analytics blog. With the explosion of data that the world is seeing big data have become a regular part of modern life and are required for SMEs and large companies to thrive and fully engage with their customers; though this...
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May 5, 2017, 6:50 a.m.
Financial institutions are very aware of the perils and pitfalls of rogue data affecting the quality of their data in every area of their organisations. Fintech describes those companies which are part of the financial world and use the latest data-driven technologies in order to achieve the best results. There is considerable variation in the way different organizations use fintech to advan...
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