5 Best Data Analytics Tools

Processing and analyzing large datasets for the purpose of Data Analytics is not that easy. It is a very complex and time-consuming process and can be quite overwhelming for data professionals if done manually. Luckily, there are lots of great data analytics tools in the market that you can use to solve this problem. But how you can find the right tool that satisfies all your needs. Well, that’s not an easy thing to do especially when there are hundreds of amazing data analytics tools in the market. So, to help you out today we are sharing with you a list of the five best data analytics tools that are available in the market.

Splunk

It is a platform that allows data analysts to investigate, analyze their data from different mediums and data channels. Using it you can collect, process, and visualize your data in milliseconds. The platform allows its users to unify their data on a single platform and help them in improving their data accessibility and quality of insights. Besides this, it has a very user-friendly interface and comes with lots of robust features like usability and collaboration, breakthrough analytics, search and analytics, data streaming, etc. Overall, it is a great tool and can provide many advantages to a data analyst or scientist. To learn more about Splunk feel free to join the Data Analytics Online Certification in Oman program.

Talend

Talend is a great data integration tool that allows its users to easily connect, access, process and manage their data from different mediums and data channels. It is a great tool and can easily satisfy all the needs of data professionals. Besides this, it comes with robust data checking capabilities that help its users easily maintain the integrity of their data. Additionally, the software comes with lots of great features like data integration, pipeline designer, data inventory, data preparation, etc. Overall, it is a phenomenal data integration tool and can satisfy all the needs of data professionals.

QlikView

It is a phenomenal tool that allows its users to convert raw data into useful and actionable insights. The tool allows data analysts to investigate and analyze their data for discovering useful insights. Besides this, it comes with robust visualization capabilities and helps its users easily represent found insights via appealing dashboards and graphs. Additionally, it comes with features like associative data modeling, visual analytics & in-direct searches, hybrid data delivery, data warehouse automation, etc. In simple terms, it is a great business intelligence tool and can easily convert raw data into useful and actionable insights.

Apache Spark

It is a robust data processing framework that allows data professionals to easily process and analyze large data sets. Using it you can easily discover actionable insights from large data sets. Besides this, it is very easy to use and comes with features like batch/streaming data, SQL analytics, adaptive query execution, etc. In simple terms, it is a very powerful and useful data processing framework and can make the task of analyzing large data sets very easy for data scientists and analysts.

Microsoft Power BI

It is a robust business data analytics tool that allows its users to convert data from different data sources into appealing dashboards and analysis reports. Using this amazing tool you can easily and quickly convert your data into useful information or insights. Besides this, it also features a very simple and user-friendly interface that allows data professionals to use this tool for data analysis without any difficulty. Additionally, the software comes with features like datasets filtration, customizable dashboards, informative reports, real-time dashboard updates, etc. Overall, it is amazing data analytics and data visualization tool and can be very helpful for data professionals. To learn more about this great data analytics tool, feel free to enroll yourself in the Data Analytics Online Course in Saudi Arabia.

Conclusion

These are some of the best tools when it comes to performing data analytics and data analysis. Using these tools an analyst can easily perform his duties and responsibilities. So, do check out all these fabulous tools and use the one that satisfies all your needs and requirements. All these tools come with robust data processing/analyzing capabilities and can make your work very easy.