 ॐ यूँजन ॐ ॉजन ौदूल 41 अप योर न्प्रदूक्षन ज्डदेटा सैंच्कोर्स। ब Έश्ड़े कुछ मार्डि웃음 मे थोंस्ट्क्झरी लेंगव्來了ं। next couple of modules is no SQL, does not mean in literals as no SQL, it does not mean no structured query language, it means not only SQL we can store the data in some other formats instead of table and rows and then we can use it for further analysis, basically our focus will be on these things and we will try to understand its history and evolution as SQL history is about 20-25 years and how they are related or impacting your life, your work as a data scientist just imagine that you use social media or if you have a very big website, let's stick to social media now if I talk about Facebook, there are crores of people on Facebook who are the account holders of Facebook and one more interesting fact is that to understand the evolution of no SQL, we have been listening to global village for many years now we live in a global village, let's stick to the Facebook example, Facebook started somewhere in a university in America at that time there were around 1.5-2 Arab people around the world who use Facebook, you can find out exact numbers but definitely it will not be less because if I have Facebook, LinkedIn, Instagram, I have 2-5 accounts, so you can imagine that there are so many people who use Facebook and this is one of the most popular social media for the general public, professionally people use LinkedIn, Twitter but if we talk about the general public then Facebook and I think Instagram, these two are most popular and almost everyone who is on social media uses them now coming back to over scenario, lakhs of people on one minute, this is again very interesting number how many thousands of people like on Facebook on one second, pass a comment or send a friend request how many people, please do this research, I don't remember that number of the cuff but if you have that number then you will be surprised how many people in the world, lakhs of people in a second, in a minute, in a day, how many people use Facebook and they do different kinds of data entry so when you have to do something like this then you mean as a data scientist or as an organization you don't have enough time to collect that data and keep it in column or row because it takes some time and whatever time it takes, you may lose some data so basically this is how the databases that have come in the market, they came into picture where there is a lot of data, distributed environment and you don't have any other way you just want to keep getting data and keep dumping it but at the same time, as soon as you have liked someone, the system of Facebook where you are as a user, your friend, your social circle all that thing, its impact or the change that has come is visible so this was the situation which was to be handled and it didn't happen in one day obviously, the things that have spread, they kept changing it and Facebook is one of the first few who have worked on NoSQL databases and they have used the real applications of Facebook and they are doing it for a very long time as we said that there is a distributed environment so along with time, as the scale out has been added, they have added more servers it means that the NoSQL is so high scalable we will do a little comparison of the NoSQL and SQL but this is how it works now when there are NoSQL databases, as I said that they are not rows and columns and there are attributes and there is no data dictionary there is a different style of it which is of the need of the social media or distributed system to meet it they have developed there are document based systems, object based systems and basically if there is a document in it, then the database is stored in it no one is doing anything but we think that this is the unstructure of Bazaar but its language which controls it, it knows how to handle it your natural language processing which is your text based analysis each area is a separate subject we will discuss one more thing after some time about social network analysis you will understand a little bit more about the SQL databases key values are graph based graph basically is like a star if there is a social network of 5 people then they can store it in a random order if the subject is in the mind of a human being his education is on the one corner his friends circle is on the other side his education and interest is saved in a different way like the MongoDB there is one column in telecom there is a user in one column the data is being thrown in it it is not doing anything else but the data is going in it and it is being saved there and then it is used later on for something different for a practical purpose this is an interesting area not only SQL there are 4 types of data even if they are not structured within each there is a structured data it has a small data everyone has made it how long does the data last its retention, policy, logic but every no SQL has an SQL within this thank you