Why Big Data Security Should Be Your Biggest Concern?

Data Security

Big data processing is a hot trend these days and every company is trying its level best to make the most of big data processing. Though there are several big data tools, however, Apache Spar is considered as one of the strongest tools in the market. It is a very fresh and highly advanced big data tool. The tool offers tons of benefits as it contains a large number of high-end features. Latest technologies like graph processing and machine learning are also integrated into Spark, thus, it has been made more powerful. It is a scalable product that empowers businesses to perform big data analysis at a great pace. The tool is preferred extensively for graph processing. However, what makes them too highly impressive is the fact that it offers mobility. At the same time, it keeps the data highly secure. 

No matter how excited you are to adopt big data and to make data processing strategies. At the end of the day, if you are not able to safeguard the data, the data would be of no use. Data thefts and breaches leave the company bleeding; therefore they have to be avoided at any cost. Data breaches are severe. As per one of the reports, only 12 breaches have the potential to expose almost 100 million sensitive records, that’s a huge number! 

Stringent security measures of Spark 

An effective big data strategy is reliant on the acceptance and utilization of a top big data tool. Although there are several interesting and useful big data management tools in the market, at the end of the day, every business has to make the right choice by adopting the best tool possible. One of the key features to look for while adopting a big data tool is data security and governance. After all, if the data is not secure then there is no point storing or assessing the data, as you will never get the desired outcomes. 

Apache Spark helps validation through a common mystery. It tends to be effectively coordinated with HDFS. Additionally, it is even programmed to use the HDFS ACLs. Also, if you want to integrate it with the file-level permissions, you can do that in Spark. This, there is no doubt about the fact that Spark is quite strong and secure. 

Apache Spark implementations are programmed to offer strong security features to safeguards the big data. As the traditional data architectures were supposed to be quite safe, therefore, Spark has also made sure that the data is safe in the tool. The Governance models designed for Spark is meant to complete safeguard the information. The high-end big data security and governance frameworks have been creating a pull on even the traditional companies. And, even the finance sectors are planning to adopt Spark. Thus, the adoption rate of Spark is expected to touch the skies in the near future. 

Is Spark a perfect solution? 

Yes, definitely! Apache Spark is considered as one of the top choices of the businesses across the planet. It takes care of data mobility and governance, but at the same time, there are tons of other benefits that Spark has to offer as well. For example, it is extremely quick. In this world, today, where everyone is after speed, any program, tool or solution that works at a fantastic pace is preferred over the vast majority of other tools. And, when it comes to the competition that Spark enjoys, be it Hadoop or anything else, Spark stands out because of its high speed. 

Apache Spark offers tons of business benefits 

Speed is certainly not it; Spark empowers the data scientists, the engineers, the developers, and many others to work together. They are able to collaborate with machine learning, graph processing, SQL as well as streaming data into the advanced data pipelines. This is done to quickly access, transform as well as analyze big data. Also, scalability is a major factor that makes Spark a top preference of the world. The Apache Spark Services and Implementation allows you to deploy apps that are meant to run 10-100xs faster in production environments. And, at the same time, they continue their in-memory data processing. Thus, there are tons of business benefits that Spark offers and therefore, it is considered as one of the best in the world right now. 

The fact that data mobility and governance are Spark’s top priorities, hence, Spark is and will be adopted by a large number of companies. The number will continue to grow in the long run. For any firm that is planning to use big data, the biggest concern is the security of the data, but, Spark ensures complete security of the data, then any business would like to adopt it.