Manejando datos

Small data

Posted by in Big Data

Big Data is gaining more and more importance, but … what if we don’t have so many data? Another way of the problem is … can we analize data from another point of view? Let’s read this post!, because it describes perfectly how to use information, what are the benefit of collecting and analizing data: Big Data has no importanc, except if you know how to use it Big Data and Small Data Big Data tries to define people or consumer behaviour where Small Data tries to retrieve emotions…read more

what is analysis of data

Posted by in Big Data

The definition, from Wikipedia , is: Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains. Basicaly, the existence of data alows you to make data analysis. I have remark about  existence of data because not all business (phisical or virtual) are concious about the way their business can generate data…read more

Big Data actors

Posted by in Big Data

One aspect we haven’t talked enought and it has a very high impact on #BigData are the actors that make Big Data possible. I am developing my own soccer betting software for more than 10 years, and i am the analyst, the developer, the client, the statistician, … You can ask me if there are so many data to analyze, but I will tell you all that I do, the data I collect, the data I create, the analysis I do, and some decisions I take! My software “seems” simple,…read more

4 big data realities

Posted by in Big Data

After reading this article, I’ll write about the 4 Big Data features that in my case, you should take into account. Big Data is a new culture in the company and to the staff If you want to know everything of your company, it’s complusory to introduce a new way of thinking in every employee, and ALL data should be saved, analyzed and processed. The most decisive aspect of  Big Data is people mentality, the key to became Big Data a success. EVERY member of a complany should know what every…read more

Analyzing 5 Big Data premises

Posted by in Big Data

On the previous post I enumarate 5 premises about Big Data, that are: Integrate high data volumes of transactional data and interaction.. Trust your data. Provide auto service to users, analist, developers, data stewards, project owners and usuers of a business. Adaptative service. Administration of metadata. Let’s explain better. High volumes of data Big Data requires to deal with high volumnes of data, but this volumes can be higher or lower dependineg on the frecuency of data generation. So, if you have a small business where you store all transactions…read more

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