What i always wanted to know about big data_ (_but was afraid to ask) – news – the freecodecamp forum
When I first heard the term Big Data few years ago, I didn’t think much of it. Top 10 data recovery software Soon after, Big Data started appearing in many of my conversations with many of my tech friends. Database oracle So I started asking a very simple question ‘What is Big Data?’. Data recovery services reviews I kept asking that question to various folks and I did not get the same answer twice from any number of people. Database 12c new features ‘Oh, it’s lot of data’. Database lyrics ‘It’s variety of data’. Database 360 ‘It’s how fast the data is piling up’. Database architect salary Really? I thought to myself but was afraid to ask more questions.
Database administrator job description As none of it made much sense to me, I decided to dig into it myself. Data recovery app Obviously, my first stop was Google.
Ahh, It all made sense right away. R database connection None of the people I was talking to really knew much about Big Data but were talking about it anyway as everyone else was talking about it.
Big Data is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing application.
So Wikipedia’s definition is focusing on ‘volume of data’ and ‘complexity of processing that data’. Database weak entity Good start but doesn’t clearly answer the question of what is the volume threshold of data that makes it Big Data. Data recovery vancouver Is it 100 GB? A Peta Byte? What are the on-hand database management tools? Are they referring to Relational Database Systems from Oracle and IBM etc? Most likely but not answered in this definition.
Big data is data that exceeds the processing capacity of conventional database systems. Level 3 data recovery The data is too big, moves too fast, or doesn’t fit the structures of your database architectures. Database blob To gain value from this data, you must choose an alternative way to process it.
To some extent, Wikipedia and O’Reilly’s definitions are similar in that both refer to ‘processing capacity’ and ‘conventional database systems’ but O’Reilly media adds a new twist by mentioning ‘too big’ and ‘moves fast’. Database examples Hmm, animals like elephants and cheetahs started running through my head.
High-volume, high-velocity and/or high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insight, decision making, and process automation.
Gartner is referring to the size of data (large volume), speed with which the data is being generated (velocity), and the different types of data (variety) and this seemed to align with the combined definition of Wikipedia and O’Reilly media.
Not so fast said Mike Gualtieri of Forrester, who said that the 3 ‘V’s mentioned by Gartner are just measures of data and Mike insisted that Forrester’s definition is more actionable. Database knowledge And that definition is:
Big Data is the frontier of a firm’s ability to store, process, and access (SPA) all the data it needs to operate effectively, make decisions, reduce risks, and serve customers.
Let us try to digest this together. H2 database Forrester seems to be saying that any data that is beyond the current reach (i.e. Nexus 5 data recovery frontier) of that firm to store (i.e. Data recovery uk large volumes of data), process (i.e. Database collation needs innovative processing), and access (new ways of accessing that data) is the Big Data. Database yugioh So the question is: What is the ‘frontier’? Who defines the frontier?
Then I came across this article from University of Wisconsin which gave some specificity to the ‘Volume’. Top 10 data recovery software free The article said ‘some have defined big data as an amount that exceeds a petabyte – one million gigabytes.’ Thank you Wisconsin for clearing that up. Data recovery vancouver bc But the same article mentioned the numerous ‘V’s that are being added to the 3 ‘V’s that Gartner originally came up with.
Visualization refers to the art of turning data science into visual stories via graphs and other charts to transform data into information, into insight, into knowledge etc.
Even though there is no single definition for Big Data that is universally accepted, there are some common concepts that almost all seem to converge on. 7 data recovery suite crack And they are:
Hope this article was helpful. Database normalization definition If it was, please feel free to ‘Follow’ me. Data recovery wizard If you want to stay in touch, please ‘Connect’ on LinkedIn or follow on twitter @rkdontha1 as well.
So what other Big Data questions you have but are afraid to ask? Go ahead and comment below OR send me a note. Data recovery video Look forward to hearing from you!!!