Big Data
Everyone has heard the hype about it, but what is it really? And how does it impact your daily business? We've gathered all the information you need to know when it comes to the big data phenomenon. So keep reading!
This blog post will provide you with an overview of:
What is Big Data?
The history behind Big Data
Why Hadoop and MapReduce are important?
What's next in Big Data?
What is Big Data?
Big data or massive amounts of structured, semi-structured and unstructured data that just keeps growing exponentially. Businesses produce a massive amount of this data every day from customer transactions, web clicks, social media updates, sensor readings and more. But how can all this data help you make better business decisions? Let's find out…
The History behind Big Data
In order to understand the impact of big data on businesses today, we need to know a little about the past. In the 90s organizations had access to relatively small amounts of information because large databases were stored within their own systems. However, as technology advanced from the late 90#x1E6; 0s/early 2000#x1E6; 0s, companies found it easier to store data externally in different places.
By 2010, storage capacity became cheaper and more efficient to the point where organizations could easily transfer terabytes of data between systems for analysis purposes. Interconnected systems were now able to share large amounts of information that led to what we know today as Big Data.
Why Hadoop and MapReduce are Important
Since then |Hadoop@ platforms have become available to help businesses manage big data management tasks such as processing, storing and managing huge volumes of unstructured data.
No SQL databases were used before Hadoop but they were not designed specifically for querying large datasets or batch processing which is why they fell out of favor when compared to Hadoop.
Hadoop is an open-source system created by the Apache Software Foundation that allows users to store and process vast amounts of data across distributed computer clusters (or grids). This is why it earned its name as the leading big data management solution. MapReduce, which was developed at Google, works like a large number of computers working together to solve problems in parallel. It's designed to deal with huge volumes of data and make them available for querying purposes.
What's Next in Big Data?
While Hadoop has enabled organizations to collect huge amounts of information, there are still challenges when trying to analyze this big data properly. For example, many companies struggle with extracting business insights from their unstructured data.
That is why the buzzword you need to be listening out, for now, is ' Apache Spark' which can process data 100x faster than Hadoop MapReduce.
Spark's speed and ease of use make it a big player in the big data management sphere and it allows businesses to manage and analyze massive amounts of unstructured and structured data without needing expensive hardware or requiring specialized skills.
So there you have it! Big Data explained from its origin story right up to where we are today… With the way technology is going, business intelligence will only become more advanced as time goes on.
FAQs:
What is the next Big Data buzzword?
The next big buzzword in the world of data management and analysis is Apache Spark. It can process large amounts of data 100x faster than Hadoop MapReduce. However, considering that it's still an up-and-coming technology, you should remain alert for any other names being thrown around to claim this title!
What are some examples of Big Data technologies?
Hadoop, No SQL databases, MapReduce, and Apache Spark are all essential parts of the big data phenomenon. They provide businesses with a way to store vast amounts of information which helps them reach new insights for their business decisions.
Do I need Hadoop experience to make use of Big Data technologies?
Hadoop is an open-source system that allows users to manage large data sets. Its user-friendly platform enables businesses of all sizes and with varying levels of technical experience to utilize the power of big data.
Is there a real-life example of Hadoop in action?
We pulled our own example out of our butts! Just kidding… A great example of how these technology works is on Google Maps. When you look up directions or traffic, your computer takes the map information it has stored and distributes small parts of it across all its servers so that it can be accessed by everyone quickly instead of having every person access the same one server for that information.
Conclusion:
Big Data is the buzzword you're all going to be hearing in business in the next couple of years. The technology has evolved to allow for businesses of all sizes to access vast pools or resources, allowing them to make better decisions when it comes to their business.
If you have any questions about Big Data, feel free to ask us below in the comments! We would love nothing more than talking with our readers about this amazing technology that's allowing organizations large and small get ahead of their competition!