Big Data, Big Data, Big Data... Episode 1


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Big Data, Big Data, Big Data... Episode 1

The evolution of our activities, for which I invite you to read again the article posted on 5/03/2018 entitled " Change of course" , in the " news " area of our site, has been particularly important in recent years. More than ever, through our customised collaborative development and Business Intelligence (BI)More than ever, through our projects, we are required to handle more and more data to get the best out of it for your teams and their efficiency.

Big Data, Big Data, Big Data
, this is the refrain that seems to be heard more and more. On closer inspection, it seems that this subject, as fashionable as it may be, remains quite confusing for most. Let's try to make some sense of it.

Of course, to " say " Big Data is to " talk " about volumes, and volumes of data that have grown considerably. Giga (Go), Tera (To)...

Today we are talking about Zeta Bytes (Zo). Just imagine! 10 to the 21st power of bytes, 10 to the 12th power of To! Yes, a thousand billion billion terabytes !!!!

If one byte was worth one second, 1 gigabyte would be more than thirty years. More than one generation! And a Zeta byte would be more than 3,000 billion years! 217 times longer than the time separating us from the Big Bang! This is beyond considerable.

These volumes of data are fundamentally changing our data world (and our world itself). Such volume requires new solutions and new approaches to classify, save, study and query data.

These volumes are also linked to another notion: variety . Big Data is thus an immense variety of data types. Captured data, but also text files, images, videos, films, conversations on social networks, AND data automatically produced or brought up by our machines, our objects, our telephones, such as GPS positions, Internet connections, logs, connections to the terminals of our mobile networks, to the servers of our Data Centres..... And all the time!!!

A huge amount of traffic. And this amount of data is growing, faster and faster, as is its processing. This is known as velocity, with a huge paradox. The more data there is, the faster it has to be analysed, which requires new ways of examining it, generating new approaches and so on.

Management information systems gave us CRMs, after having allowed us to computerise our accounting, warehouse management, maintenance and order management systems, etc., based on data that we entered in information systems organised around linked tables.
This was and still is the undisputed rise of relational databases. Based on these management information systems, BI or decisional computing developed, to develop the indicators and dashboards that are essential for decision-making.Big Data is something else entirely, and at the same time the logical continuation of the history of computing.

If you are as passionate about this story as we are, we invite you to follow the next episodes. They will relate our different experiences around data and will try to help you to see the subject a little more clearly.

And if you liked this article, don't hesitate to share it on social networks and to invite your contacts to subscribe to our newsletter very soon.

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