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Your business and the markets you operate in are rapidly changing. This new world is driven by globalization, consumerization, hyper competition and data explosion.
Organizations that derive insights from more data sources outperform their peers. The challenge is that the myriad of different types of data and in some cases the scale and complexities of the data make it awkward or impractical to analyze with traditional analytic and database tools, systems and technologies. NoSQL technologies and advanced analytics cater for the range of data types and scale of data but create their own operational challenges. The technical capability and capacity required to use and manage these advanced analytics have created skills shortages and introduced new operational risks. Companies looking to gain competitive advantage through advanced analytics want to ensure successful and timely implementations at a cost that is aligned with projected returns and can be operated and managed at scale.
CSC provides a fully integrated and managed Big Data Platform in an as-a-Service model that utilizes advanced web-scale technologies to enable application developers to quickly develop, test and deploy applications that require any combination of ad hoc, batch and real-time analytics.
CSC Big Data Platform as a Service allows you to:
- Have a full managed, analytic development environment ready to use in under 30 days, not months, and scale to address the most complex hybrid environments
- Support batch, adhoc and in-memory analytics
- Provide application developers a platform designed to ingest, integrate and manage data from any source and in any format
- Benefit from the technologies and operating principles that underpin Facebook, Twitter, Yahoo and other businesses that rely on big data to improve customer experience, generate revenue, improve operations, manage risk more effectively and transform business processes
- Ensure that your environment is always available, performs at scale and grows as needed
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CSC's service eliminates the implementation and operational headaches caused by big data. Our proprietary systems management wraps a proven configuration of standard open source technologies to provide a robust, scalable, secure and reliable service, giving you a simple, developer-friendly environment. CSC service comes with the option of a modular security approach to appropriately protect your data and support regulatory compliance requirements like PCI, HIPPA. It can be deployed in public cloud, virtual private cloud, enterprise private cloud and dedicated clusters depending on your business use case and data sensitivities.
Our service allows you to focus on creating the applications that will drive value for your business instead of spending your time learning to design, test, deploy and manage a secure, scalable and available big data "infrastructure stack." Our primary services include:
- Hadoop — Elastic Hadoop clusters and batch analytics
- Queries — NoSQL database and ad hoc, query-based analytics
- Streams — Streaming data and real-time analytics
CSC service offers a range of options so it can be tailored to support a wide variety of use cases from proofs of concept through to real-time machine to machine predictive analytics using web-scale data volumes.
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YES, the big data is a simple concept, but if this information is stored in secure place like a cloud servers of microsoft or google, is very secure.
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But don't we need to convert NoSQL data into some other structured format first before we can make sense and relations among what we've collected?
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Well, yes and no.
But there are a few things you can do to make it secure.
Protect programming frameworks
Improve security on non-relational data tests
Work on endpoint security
Ensure the safety of data storage logs
Implement real-time security monitoring
Look into Big Data cryptography
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Thank you for the thread, it was very useful for me to find that much interesting information
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Really based on how you work on it, do look into big data cryptography
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