India Friday
login

A lot of people are familiar with the term “Big Data,” or they have at least heard it thrown around. But what exactly is it? Have you ever tried to google the definition only to be met with a bunch of different definitions that all say something different? Well don’t worry – we’re here to make the whole concept a little easier to understand.


Data is everywhere, but in order to use it, it needs to be stored, organized and analyzed.


In order to use data, it must be stored and organized. Data is a collection of facts or statistics from which conclusions may be drawn. Data is used in science, engineering and business to make decisions about products and services. It’s collected by observing the natural world or recording human activities (like buying groceries).


Data can also be collected through surveys or online questionnaires that ask people questions about themselves. This information can then be organized into databases so that it can easily be accessed whenever needed for analysis purposes (analyzing data means searching for patterns).


Analyzing this vast amount of information requires special skills such as programming languages like Python, SAS or R; statistical programs like SPSS; visualization software like Tableau; machine learning algorithms such as deep learning neural networks; artificial intelligence (AI) systems such as IBM Watson Analytics Cognitive Services etcetera…


Collecting the data itself isn’t the issue.


Collecting the data itself isn’t the issue. In fact, it’s pretty easy to collect a lot of data these days with all the sensors that are out there collecting information about us, our environment and our interactions with each other and our surroundings. The challenge is to store this flood of information in a way that makes sense and can be analyzed easily by anyone who wants access to it.


The problem is that most data is collected in many different formats that are hard to compare and combine together so they can tell more meaningful stories. This is why traditional database management systems (DBMS) usually aren’t suitable for big data: they only allow you retrieve data from one specific database at a time or have limited scalability when dealing with large volumes of information coming from different sources over time—like log files generated by web servers hosting millions of websites at any given moment online right now!


Because big data is so enormous, it can be challenging to work out how best to use it or what questions you should ask of it.


There is no magic fix to big data. You can't just throw the information at a problem and expect it to solve itself. You need to be specific about what you want to know, what questions you will ask of your data, and how you plan on asking them.


It can be difficult to determine the value of data when its size is so large – especially because a lot of stored data just isn’t necessary.


The first step in making data useful is to be able to determine what data is useful. Data comes in many forms and from many sources, so it can be difficult to know which types of data are actually important for your business. For example, if you run a garment company that sells t-shirts, you may have hundreds of thousands of customers who make purchases through your website each month. But only about 10% of these customers ever come back after their first purchase. And yet the information about those 90% of people likely contains some valuable information that could help improve your sales process or marketing strategy – if only you could figure out how best to use it!


If you don’t have a plan for what exactly your data will be used for, then chances are high that it won't be worth much at all - even if it seems like there should be some value there somewhere! This is why being able to understand the value of information before collecting or storing it (and especially before analyzing) is so important - because otherwise any potential benefits from analyzing large amounts might not outweigh potential costs associated with gathering/storing/accessing such large amounts in the first place."


While right now we are mostly talking about big data in regards to larger organizations and business, that doesn’t mean that consumers don’t have their own issues with big data as well.


While right now we are mostly talking about big data in regards to larger organizations and business, that doesn’t mean that consumers don’t have their own issues with big data as well.


People are concerned about privacy, security, data usage and manipulation, selling things to them based on their interests (that they may not even know), and making decisions about them without their knowledge or input.


As more information becomes available on the cloud, people have started to wonder if they really need more than a few gigabytes worth of storage space on their devices – though it seems like there will always be those who hold on tightly to their flash drives.


Cloud storage has become more popular in recent years, especially as the price of cloud storage has been dropping. Cloud storage is cheaper than hard drives and provides a higher level of security for your files, as well as easier access to them. Additionally, it's more convenient and mobile (no physical drive), environmentally friendly due to less waste from discarded hard drives, and flexible so you can upload your files remotely from any location (assuming you have an internet connection).


Data is becoming part of our lives in nearly every aspect.


Data is becoming part of our lives in nearly every aspect. From the products and services we buy, to where we go, who we interact with and how much time we spend on a particular activity. Data is everywhere—and it’s not going anywhere anytime soon.


In fact, there were over 3 billion internet users worldwide as of 2015. That number has increased substantially since then and shows no signs of slowing down anytime soon. This means that more people are connected than ever before and generating an incredible amount of data through their online activity. And this isn’t just limited to social media platforms like Facebook; even your favorite search engine generates information from the queries you type into it every day!


You may have heard that big data refers to large sets of unstructured information that cannot be analyzed using traditional database techniques -- but what does this mean for us as marketers?


Conclusion


Big data has the potential to change our lives. With it, we can gain valuable insights in all sorts of areas, and companies are constantly finding new uses for it. One thing is certain: the amount of information being produced on the web is only going to continue to grow, which means more opportunities for businesses looking to improve their products and streamline their processes.




0 COMMENTS

There is no comments.


Cinque Terre

Manya Arora