In today’s tech world, data is everything. As the focus on data grows, it keeps multiplying by leaps and bounds each day. If earlier mounds of data were talked about in kilobytes and megabytes, today terabytes have become the base unit for organizational data. This coming in of big data has transformed paradigms of data storage, processing, and analytics.
Instead of only gathering and storing information that can offer crucial insights to meet short-term goals, an increasing number of enterprises are storing much larger amounts of data gathered from multiple resources across business processes. However, all this data is meaningless on its own. It can add value only when it is processed and analyzed the right way to draw point insights that can improve decision-making.
Processing and analyzing big data is not an easy task. If not handled correctly, big data can turn into an obstacle rather than an effective solution for businesses. Effective handling of big data management requires to use of tools that can steer you toward tangible, substantial results. For that, you need a set of great big data tools that will not only solve this problem but also help you in producing substantial results.
Data storage tools, warehouses, and data lakes all play a crucial role in helping companies store and sort vast amounts of information. However, the true power of big data lies in its analytics. There are a host of big data tools in the market today to aid a business’ journey from gathering data to storing, processing, analyzing, and reporting it. Let’s take a closer look at some of the top big data tools that can help you inch closer to your goal of establishing data-driven decision-making and workflow processes.
Top 10 Big Data Tools That You Can Use in 2021
The importance of big data in the current ecosystem has been reiterated over and over again. However, this big data is redundant without the right set of tools to support every step of data processing and analysis. While the number of big data tools available to businesses today is growing exponentially, not all of these tools are created equal.
To pick the best big data tools, you need to consider factors such as the size of datasets, nature of analytics required, the pricing of the tool, among others. Based on these parameters, you can choose from any of these top 10 big data tools to speed along the process of analysis while lowering the cost
- Apache Hadoop
- Apache Spark
- Flink
- Apache Storm
- Apache Cassandra
- MongoDB
- Kafka
- Tableau
- RapidMiner
- R Programming
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