A Complete Overview of Big Data Tools and How it Can Help Companies

In the IT world, managing big data is one of the biggest issues which require the use of best tools. From the selection of software to use it to collect and manage data, many factors require the consideration. Due to this reason, it is necessary that you focus on the use of an effective tool.

Generally, Big Data term is used in the dataset collections that are large and complex to process. With the use of some traditional applications or tools, you can easily manage all. The data which exceed size in terabyte are considered in Big Data. The reason behind the use of the tool is the variety of data you face.

There is no doubt in the fact that it can be challenging and hard to manage all but you have to stay selective with the tool and use it correctly to obtain the best out of it. There are two types of data, structured and unstructured.

According to a survey, it is proved that more than 80% of the created data is unstructured and these are hard to manage. Even chances of getting into issues are higher due to this particular reason. If you want to eradicate it, then some other methods can come in handy for you.

The use of an effective tool matters the most here, and this guide will help you learn about some of the popular tools which are loved all around the world. The below-mentioned tools are easy to use, and bring a vast number of features. Let’s check out all of them to find the suitable one for you.

Apache Hadoop – Effective for the large amount

Among all the big data software, Apache Hadoop has a significant presence due to its amazing design, and you can definitely rely on it. The very first thing that you will notice about this software is, it is a free software framework and open source. It can easily store a large amount of data even in a cluster which will make things easier for you.

Apart from all, it will always run in the parallel on clusters which will provide you the ability of processing data across the nodes. In case, you want to replicate data even in the cluster; you are definitely going to get it with the Apache Hadoop. Such things make sense and provide a huge number of benefits for sure. The high availability is the most loved feature of this tool.

NoSQL – Effective for Unstructured data

As you learned before that more than 80% of data is unstructured which can lead to many issues and managing all the things become harder. If you want to eradicate such issues with ease, then you can focus on the use of NoSQL. SQL is surely a good tool to handle a large amount of data, but it only works for structured data and manages that properly.

In case of managing unstructured data, the NoSQL (Not Only SQL) will come handy to manage the unstructured data with ease. It can store data without any particular schema which can make things easier and make you rely on it. The good thing is, each row can have the set of column values, and it will manage all with great performance also.

Sqoop – Data Transfer Tool

Despite the fact that Hadoop and Hive are effective tools and comes with a vast number of features, they still have some points where they lag. To eradicate all their deficiencies, Sqoop can come handy and provide many benefits with ease. It can make the work of transferring unstructured data easier. Due to its effective data transferring, the productivity increases in the company and gain many benefits out of it. It is significantly loved by most of the companies for effective working and easing up their work.

Hive – Best in Data Management

With the help of this tool, you can use Hadoop more productively because Hive will help in to distribute data management for Apache Hadoop. Apart from it, the Hive can support SQL with ease. For query options, the Hive SQL will work perfectly and provide a vast number of benefits with ease. There are many other purposes offered by it.

The common use of Hive is Data Mining purpose which can make things easier and come handy for you. However, there are many other uses of Hive which can be learned by considering the interactive feature of this tool. In other words, you can say that Hive is running on the top of Hadoop and such other tools. One can hire the services of RemoteDBA.com as well.

Presto

The previously mentioned tools are old and still working well due to new updates and features. Considering a tool that is developed recently then you can look for Presto which is designed and developed by Facebook. It is open sourced recently, and it is a query engine which means that it will offer you SQL on Hadoop. The good thing about this tool is the ability to manage large size data.

With Hadoop, you can manage tera-byte of data, but the presto can take it to the next level. Presto is capable of managing petabytes of data, and it does not depend upon the MapReduce technique to work effectively. Even, presto has the ability to retrieve data at the higher speed which will make you rely on it and get rid of all the issues.

Conclusion

The above given are some of the well-known tools which are used for Big data management and analytics. Microsoft Excel, PolyBase, and Microsoft HDInsight are also the tools which are known for their incredible functionality. You can try it out without a single issue and go well in the future. Make sure that you stay selective in approach to avoid getting into any issue in future.

In addition to this, you should consider the effective working, low in cost and features to manage structured and unstructured data. These factors will help you choose the best and eradicate all the issues with ease.