How Does Understanding ‘Big Data Tools’ Affect Your Business For The Better?

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Businesses nowadays stand to benefit immensely from big data. In fact, there is no single business today that lacks data. With this wave, smart companies have a kill. If your business is yet to pick on the big data wave, here is how your understanding of big data tools affects your business for the better.

How Does Understanding 'Big Data Tools' Affect Your Business For The Better? 1

 

Business Intelligence

In the past, businesses generated little to no data. During this time, even the limited SQL storage was insufficient to handle the volume of data involved. Currently, companies using big data tools can generate more data. They also can store large volumes of structured and unstructured data. In this age and era, businesses generate more useful data in marketing and targeting. Additionally, they have plenty of storage to store customer data, consumer behavior, and preferences. This is how these big data tools affect your business for the better.

Apache Hadoop

This Java-based software helps your business to store large amounts of customer data in a cluster. Critical consumer insights like buying behavior, product recommendation, and information can be held. The Hadoop Distributed File System (HDFS) helps businesses sort big data files and distribute them across many nodes in a cluster. Apache Hadoop replicates data in a group to ensure big data availability every time for analysis.

NoSQL

Companies are often challenged with the possibility of storing big data files. These may be critical customer records and other business insights. While conventional data storage is costlier, this big data tool bridges the gap. Similarly, the NoSQL tool stores structured and unstructured data in one place. The availability of this data is also fast and secure. Businesses can, therefore, quit worrying about the security or availability of their data.

Microsoft HDInsight

This big data from Microsoft is powered by Apache Hadoop. Available as a cloud service, it could also efficiently run on Spark and Kafka using Azure HDInsight. Using the Microsoft Blob as the default storage, this tool helps to manipulate big data clusters to allow you to scale up or down. The additional benefit of these big data tools is they integrate effortlessly with Data Lakes and Data Factory. This enables the business to have more data to extract analytics from. Its Azure Virtual Network helps to protect and encrypt your data assets. The encryption also ensures safety and restricted access to your Azure Active Directory and data.

HiveSQL

This distributed data management for Hadoop gives businesses access to big data through SQL-like query options. It provides a platform where you could mine useful business insight to better understand your customers, products, and consumer behavior. Businesses that used SQL in the past will find HSQL a breeze. This SQL-like query language ensures access to valuable business insight necessary to take you to the next level.

Big Data in Excel 2013

Excel has provided data analysis services for quite a long time. If conversant with excel data analysis, you could link your Excel 2013 to Apache Hadoop for more data. Here, you can gain access to more detailed data and insights. This data helps you to become more targeted in your marketing. It also allows you to know about the dynamic consumer behavior, what they want, and their current taste.

Conclusion

In an age where all businesses have data floating around, this data can be stored, analyzed, and applied to benefit a company. To maximize success, smart companies take advantage of big data tools. These tools enable enterprises to optimize the available data and leverage existing data elsewhere for more productivity. Big data tools are some of the most cost-effective storage options available.

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