Reasons Securing Big Data in Hadoop is Big Deal
- From large enterprises to start-ups and small business, companies are generating more data than ever before. The global volume of data will grow by a factor of 300 – form 130 to 40,000 Exabyte – between the year 2005 and 2020. Not only the volume of data growing, but the velocity at which it is transferred is increasing too. By 2018, global fixed broadband speeds will reach 42 Mbps, up from 16 Mbps in 2013.
- More organization are deploying Hadoop because it provides scalable, cost effective storage and faster processing of Big Data. 32% of companies surveyed have already made a Hadoop deployment, 31 percent intend to deploy Hadoop in the next 12 months, and 36 percent say to use a Hadoop deployment in more than a year.
- Security breaches are on the rise, yet Hadoop lacks the ability to completely secure data in a cluster or in motion across your network, Between January and March 2014 alone, more than 200 million records were stolen – the equivalent of approximately 93,000 records stolen every hour. A 233 percent increase over the same period last year.
4 Tips to Secure Big Data in Hadoop
- Use Transparent and seamless Encryption:
- Encryption should not disrupt Hadoop performance or end user experience.
- Protect both the data-at-rest stored in a cluster and data – in – motion rapidly streaming across your network.
- Ensure implementation is fast and easy:
- Rapid deployment and implementation across multiple Data Nodes in a Hadoop cluster.
- No re-architecting of your Big Data implementation should be required.
- Leverage centralized key and policy management:
- Organization should control encryption keys for ultimate security.
- Granular access controls to guard against unauthorized or rouge access to high value data.
- Look for compliance-ready capabilities:
- Support and enforce compliance mandates, such as HIPAA and PCI DSS, in your Big Data implementation.