Big data is in talks nowadays. Have you also heard about it? Do you know what it is? Or are you here to get some details about the same? If yes, then read the article till the end, and I guarantee you that you’ll get some helpful information regarding kabar5.com big data and its respective tools here. Let’s start –
| Details | Information |
|---|---|
| Topic | Kabar5.com Big Data |
| Home | Click Here |
| Author | Brusselstribunal |
| Category | Tech News |
| Article About | Big Data |
| Year | 2022 |
What is Big data?
Big data is a combination of structured + semi-structured + unstructured data gathered by companies. This data can be mined for information and used in many things like machine learning projects, etc.
It is characterized by three V’s –
- Volume, variety, and velocity.
➡️ These V’s were identified by Doug Lange in 2001.
Organizations use big data to improve their work, provide better customer care services, run personalized marketing campaigns, and many more things. Businesses that use it have an advantage over those that don’t. Why? Because they have the potential to make quick and informed decisions.
It gives valuable insights into customers that can be used for various purposes. It can be used to find out the evolving preferences of customers.
What are the tools that help in the organization of big data?
You might have heard about “big data,” as it is going to be the next big thing. It has the potential to change our lives, but on the other hand, it is a mess.
To organize the massive amount of data, time, knowledge, and perseverance were a must. But, nowadays, the organization process has become a bit simple.
Many big data tools are designed to help with that thing. Some famous ones are –
- Apache Spark
- Apache hadoop
- Apache Flink
- Google Cloud Platform
- MongoDB
Apache Spark
It is a free and open-source tool with many deployment strategies.
Apache Software Foundation is a United States-based charity that funds free and open-source software initiatives.
Apache spark is one of the famous tools designed by the apache software foundation. It was introduced in 2012 for managing large datasets via distributed computing. It has high-level APIs and machine-learning algorithms.
Its open-source character and pre-built functions make it best suited for use wherever data science is applied.
It is 100 times faster than MapReduce and has the ability to process 100 tb of big data efficiently.
Apache Hadoop
It offers various development plans you can select from. It is an open-source framework that stores and processes a large amount of data.
Many companies are using this despite its comparatively slower speed than spark.
Some of the positive sides of hadoop are –
- It’s tried and tested, so you don’t need to worry whether it will work or not.
- Solid
- Dependable
- Can be deployed on various standard hardware.
- Pocket friendly
Apache Flink
It was introduced in 2011 and is similar to spark. It uses streaming to implement both batch and streaming jobs. It can process data quickly and with lower latency (than spark).
You can consider it better than spark.
Google Cloud Platform
Both a free and paid version of this tool is available. It unifies a variety of google’s own cloud computing services. But it lacks focus on big data.
Some of its advantages are –
- User-friendly
- Can be easily integrated with existing SQL infrastructure.
- Low cost
- Fully managed analytics data warehouse.
- Has built-in machine-learning tools.
MongoDB
You can use this tool for free for a longer period of time. Although for testing, it lets the users use it for free.
Some benefits of using it are –
- Flexible
- Scalable non-relational database
- Used can be both by startups and large organizations.
- Quick deploy
- Can be used with negligible efforts
- Schema free
- Less setup time
- Great customer services
End Note
So this is about kabar5.com big data. I’ve tried my best to explain the big data and some tools that can help you with organizing it. If you have any doubts, please clarify them by asking me in the comment section.
One more thing, For more information regarding big data, you can consider visiting the kabar5.com website as they contain a variety of information about the same.
Frequently Asked Questions
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What are the 3 types of big data?
It is structured, unstructured and semi-structured data.
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What are the 5 V’s of big data?
The 5 V’s are – volume, value, variety, velocity and veracity.
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What is big data used for?
It is a technology designed to store, examine and manage a large amount of data. So anyone who prefers to have it can use it for whichever purpose they want.