If you have an interest in technology and love for data, a career as a big data engineer may be ideally suited for you. Mastering several big data tools and big data software is an essential part of executing big data projects. It’s something you’ll need to understand to work in big data technologies. After all, once you begin working as a big data professional, these tools will likely be part of your daily duties.
Some of the essential big data tools you’ll want to master to jumpstart your career include, but are not limited to:
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5 Big Data Tools
1. Apache Cassandra
Many of the big data tools and programs typically used are open source, meaning that they are freely available and can be changed and redistributed. Apache Cassandra is one of these must-know open source tools that all big data professionals should master. With Apache Cassandra, you can easily manage your database, as this tool is equipped to handle large amounts of data.
2. Statwing
Statwing isn’t just a useful tool for those working in big data, but it is also a valuable tool for those working in other professions, such as market research. This statistical tool can take massive amounts of data and quickly create bar charts, scatterplots, and other graphs, and then export these visuals to PowerPoint or Excel.
3. Tableau
Tableau is another tool that can create visuals with your data, but it also allows for no-code data queries. For optimal convenience, users can operate Tableau while on the go with its mobile option. Tableau is too grand for teams, as it has shareable and interactive dashboards.
4. Apache Hadoop
When it comes to big data frameworks, Apache Hadoop is often the go-to tool. Providing cross-platform support, this Java-based tool is highly scalable. It has the capability of handling any variation of data needed, including photos and videos.
5. MongoDB
Data can change often, and if you’re dealing with large datasets that continually require modifications, MongoDB is a great tool. As such, mastering this tool is crucial if you’re pursuing a career in big data. It allows for the storage of data from various sources, including product catalogs, mobile applications, and much more.
Conclusion
More companies recognize the value in those formally trained in big data as they see just how much big data can help business operations. So, now is the perfect time to begin your training in this growing field.
The first step toward becoming a big data professional is to enroll in a training program that will allow you to earn your Big Data Hadoop Certification. Although big data professionals are in high demand, the job market is also competitive, with many qualified professionals frequently competing for a single open position. You’ll want to stand out amongst the competition in the best way possible, and the relevant training and certification can help you do just that.
Simplilearn’s Big Data Hadoop Certification Training Course teaches students the skills needed to master Hadoop framework concepts. The ultimate objective of the course is to prepare students for taking and successfully passing the Cloudera CCA175 Big Data Certification Exam. Our training program can also help you to master all of the big data analytics tools needed to succeed in your career.
Learn more about how certification in this field can help make your dreams of a big data engineer a reality, and enroll in our accredited program today!
