The use of Big Data in marketing as in companies and businesses is increasing and more important.
Knowing the Big Data tools are used to manage the large amounts of information that are generated.
But which one to choose? they’re all the same?
In this note we tell you everything you need to know to become an expert.
A brief introduction to Big Data
Before we dive into the Big Data tools, let’s see a little what Big Data is all about.
What is Big Data?
Big Data is a term that refers to the set that is generated with a large volume of data that is present in business today. This data can be structured or unstructured.
The amount of data is not the only important thing, but what is done with that data.
The uses of Big Data range from analyzing ideas and decisions to generating strategic movements that affect the lives of companies.
Since the volume, complexity, and growth are very large, it is not possible to analyze them using traditional databases.
That is why there are Big Data tools that are used to quantify and analyze everything that is collected in a faster and more efficient way.
Why is data analysis important?
What makes Big Data very useful for companies and businesses is that it provides answers to questions that many times they did not know existed.
Data analysis provides a starting point, a reference to act accordingly.
Thanks to Big Data, organizations can identify their difficulties in an understandable and accessible way and begin to think about ways to overcome them.
Some of the advantages of Big Data analysis are:
- Cost reduction: some Big Data tools provide advantages in terms of costs since they allow to store data in large quantities and very efficiently.
- Faster speed, better decisions: the analytics and memory of Big Data tools allow you to analyze data immediately and make decisions based on it.
- Novelty: by measuring the needs of customers and how satisfied they are, it is possible to provide new proposals that meet their needs accurately.
Top 10 Big Data Tools
Being able to take advantage of data and transform it into knowledge to be used in organizations has become the main objective of Big Data.
The characteristics of Big Data tools are used to make decisions around this in order to understand the large volumes that are generated.
For this reason, and as we said a few paragraphs above, Big Data has a leading role and is essential for any company.
Data analysis becomes of vital importance to attract new clients as well as to increase sales and generate commercial strategies.
In either case, having Big Data tools is as necessary as the collection itself.
Much data is obtained in these processes and is sometimes difficult to analyze.
Big Data Tools List:
- Apache Hadoop
- Apache storm
- Apache spark
- Apache cassandra
- Language R
- Apache Drill
Let’s see what each of them is about.
1. Apache Hadoop: the most used Big Data tool
If perhaps you heard about this Big Data tool and you wonder what Hadoop is , we will tell you that it is the most used to perform data analysis.
Very large companies like The New York Times and even Facebook use it to take the data they collect and be able to do things with it.
At the same time, it has served as a model for other Big Data tools.
The main characteristic of Hadoop is that it is a framework that allows to process very large volumes of data in batches.
In addition, they are organized in batches that use simple programming models so it is friendly and very simple.
Another advantage is that it is scalable. This means that it can operate with either one or many servers.
It is open source and you can download it directly from its website .
2. Elasticsearch: a software for Big Data in real time
Another Big Data tool is Elasticsearch. Some of the companies that work with her are Mozilla and Etsy.
In this Big Data software you will be able to process large amounts of data and see their evolution in real time.
In addition, it has elements for Big Data analysis such as graphs that allow you to more easily understand the information you are obtaining.
One of the advantages of this Big Data tool is that it allows you to apply an expansion.
What does it mean? Easy: it can be complemented with a package of extra products that serve to increase its benefits.
This set of products for Elasticsearch is called Elastic Stack and you can download it from their website for free.
Something to highlight about this Big Data tool is that it is a free and open source search and analytics engine.
Like its add-ons, you can download it for free by entering its site .
3. Apache Storm: a system for machine learning
Another Big Data tool that is open source and that can be used with any programming language is Storm.
This Big Data software works by processing a lot of data in real time and in a simple way.
The Storm system creates topologies with the big data (the broader and less specific) and transforms it to analyze it.
This Big Data analysis is carried out continuously as the information flows constantly feed the system.
Apache Storm is a system for machine learning that you can download from its official site .
4. MongoDB: a software for Big Data on mobiles
This Big Data tool is a database optimized to work with groups that are frequently variable.
It also serves for data that is unstructured or semi-structured.
Its main function is to store data from mobile applications and content management systems.
The companies that use it are Bosch and Telefónica.
You can find it to try for free on their website.
5. Apache Spark: the fastest Big Data tool
The most important feature of this Big Data tool is that it is very fast.
Its speed is up to 100 times faster than Hadoop
It performs batch and real-time data analysis and allows you to create Big Data applications in different programming languages such as Java, Python, R and Scala.
6. Python: Big Data analysis with minimal knowledge
Maybe you have wondered what Python is and what it is used for as it is very popular nowadays.
This Big Data tool has a fundamental advantage compared to others on this list: the knowledge that is necessary to use it is basic and minimal.
To know how to use Python, it is enough to have a minimal idea of programming and computing and you will not have major problems.
This means that it has a large community of users and that it is one of the best known and most widespread Big Data tools not only for Big Data.
It is consolidated as one of the simplest languages to program and is easy to learn.
Python has a large community that create their own libraries and share them on many platforms.
The disadvantage of this tool for handling Big Data is that it is considerably slower than the rest of the existing ones on the market.
You can both download it and use the libraries from its website .
7. Apache Cassandra: a Big Data software developed by Facebook
Cassandra is a Big Data tool that was originally developed by Facebook.
It is a database and it is your best option if you need scalability and high availability but without affecting performance.
Some of Cassandra’s users are Netflix and Reddit.
You can download it from its official site where you will also find interesting documentation and a community to answer your questions.
8. Language R: a language for data analysis
This Big Data tool is a programming language and environment that focuses on statistical data analysis since it is very similar to mathematical language .
It is used for Big Data analysis and has a community of users that generate a series of extensive libraries and bookstores. On their website you can find up-to-date information and tools.
The R language is widely used in data mining as well.
9. Apache Drill: an interactive Big Data tool
This Big Data tool is an open source framework that allows interactive data analysis work.
This is done in groups and on a large scale.
Its design was thought to reach and process petabytes of data and thousands and thousands of records in a few seconds.
It supports a wide variety of systems and databases and can be downloaded from its official website .
10. Apache Oozie: Big Data analysis in different programming languages
The last big data tool on the list is Oozie.
It is a system that allows defining a range of jobs in different programming languages.
Oozie allows users who carry out their Big Data analysis on it to establish relationships with these jobs.
It also serves as a programmer to work in conjunction with Hadoop.
Big Data in marketing as well as in business is very useful and beneficial.