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Gaining insights Companies across industry sectors have leveraged CSC Big Data Platform as a Service to better manage their data and gain actionable insights. • Cisco uncovered revenue opportunities through a real-time product insights dashboard within its customer support function. • Western Digital used real-time, ad hoc and batch analytics for improved customer support, better product management and optimized supply chain capabilities. • Infomart, the data services division of Postmedia Network, implemented a big data platform that integrated structured and unstructured data from multiple sources. This was used to track, report on and analyze consumer sentiment, tone, authority and other metrics that its clients need to build competitive campaigns. Introducing a big data platform into your business can help you to quickly start driving value from your data, and gain a competitive advantage through advanced analytics. Are you benefitting from big data? Information is increasingly viewed as the new competitive battleground. Research from MIT’s Sloan School of Business indicates companies that engage in “data-driven decision-making” enjoy a 5-6% increase in output and productivity over firms that do not. Powerful technologies and analytic models can be used to analyze the wealth of available data to create an increasingly rich, multi-faceted perspective. NoSQL technologies such as Hadoop, offer the ability to store and process all types of data cost effectively. However, organizations struggle to deal with the huge volume and variety of data available to them. Traditional IT infrastructure is simply not able to meet the demands of this new situation. Many organizations attempt to design, build and operate their own big data infrastructure. However, research by Sandhill Group found that organizations face three significant challenges when doing so — knowledge and experience (65.2%), skills availability (52.6%) and development effort (40.7%). Another survey by Infochimps revealed that 55% of big data projects fail or stall, primarily due to inaccurate scope and the big data talent gap. A fully integrated and managed big data platform, delivered as-a-Service, helps to rapidly acquire and apply analytics insights. Making it faster, simpler and less costly to develop, deploy and manage big data applications. CSC Big Data Platform as a Service helps to: Vastly increase success rates: A purpose-built architecture with self- contained, self-healing, scalable, high availability features means that your environment is always available and performs at scale. Derive faster time to value: It will enable you to handle the ingestion, integration and management of structured and unstructured data from any source and in any format to quickly analyze and draw actionable insights. Reduce costs: An open source big data platform delivered as-a-Service provides a cost-effective, fast and flexible service where you pay only for what you need. CSC Big Data Platform as a Service The CSC Big Data Platform as a Service (BDPaaS) helps you to manage the wide variety of data handled by your business. It uses advanced web-scale technologies to enable application developers to quickly develop, test and deploy applications with any combination of ad hoc, batch and real-time analytics. It can help you to start driving value from your data in less than 30 days, even in the most complex hybrid environments. CSC BIG DATA PLATFORM AS A SERVICE HARNESSING BIG AND FAST DATA SIMPLIFIED
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CSC BIG DATA PLATFORM AS A SERVICE … · CSC Big Data Platform as a Service includes support for all types of analytics: ... any format of document analytics, ... real-time distributed

May 02, 2018

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Page 1: CSC BIG DATA PLATFORM AS A SERVICE … · CSC Big Data Platform as a Service includes support for all types of analytics: ... any format of document analytics, ... real-time distributed

Gaining insightsCompanies across industry sectors have leveraged CSC Big Data Platform as a Service to better manage their data and gain actionable insights.

• Cisco uncovered revenue opportunities through a real-time product insights dashboard within its customer support function.

• Western Digital used real-time, ad hoc and batch analytics for improved customer support, better product management and optimized supply chain capabilities.

• Infomart, the data services division of Postmedia Network, implemented a big data platform that integrated structured and unstructured data from multiple sources. This was used to track, report on and analyze consumer sentiment, tone, authority and other metrics that its clients need to build competitive campaigns.

Introducing a big data platform into your business can help you to quickly start driving value from your data, and gain a competitive advantage through advanced analytics.

Are you benefitting from big data?Information is increasingly viewed as the new competitive battleground. Research from MIT’s Sloan School of Business indicates companies that engage in “data-driven decision-making” enjoy a 5-6% increase in output and productivity over firms that do not.

Powerful technologies and analytic models can be used to analyze the wealth of available data to create an increasingly rich, multi-faceted perspective. NoSQL technologies such as Hadoop, offer the ability to store and process all types of data cost effectively. However, organizations struggle to deal with the huge volume and variety of data available to them. Traditional IT infrastructure is simply not able to meet the demands of this new situation.

Many organizations attempt to design, build and operate their own big data infrastructure. However, research by Sandhill Group found that organizations face three significant challenges when doing so — knowledge and experience (65.2%), skills availability (52.6%) and development effort (40.7%). Another survey by Infochimps revealed that 55% of big data projects fail or stall, primarily due to inaccurate scope and the big data talent gap.

A fully integrated and managed big data platform, delivered as-a-Service, helps to rapidly acquire and apply analytics insights. Making it faster, simpler and less costly to develop, deploy and manage big data applications.

CSC Big Data Platform as a Service helps to:

• Vastly increase success rates: A purpose-built architecture with self-contained, self-healing, scalable, high availability features means that your environment is always available and performs at scale.

• Derive faster time to value: It will enable you to handle the ingestion, integration and management of structured and unstructured data from any source and in any format to quickly analyze and draw actionable insights.

• Reduce costs: An open source big data platform delivered as-a-Service provides a cost-effective, fast and flexible service where you pay only for what you need.

CSC Big Data Platform as a ServiceThe CSC Big Data Platform as a Service (BDPaaS) helps you to manage the wide variety of data handled by your business. It uses advanced web-scale technologies to enable application developers to quickly develop, test and deploy applications with any combination of ad hoc, batch and real-time analytics. It can help you to start driving value from your data in less than 30 days, even in the most complex hybrid environments.

CSC BIG DATA PLATFORM AS A SERVICE

HARNESSING BIG AND FAST DATA SIMPLIFIED

Page 2: CSC BIG DATA PLATFORM AS A SERVICE … · CSC Big Data Platform as a Service includes support for all types of analytics: ... any format of document analytics, ... real-time distributed

Why CSC?At CSC, we’re experts in big data and analytics. We know which data sets to combine and which analytic techniques to apply, to reveal new insights for your business. Our integrated Big Data Platform delivered as a Service is the easiest way to develop, deploy and manage big data infrastructure.

We have been working with Hadoop since its creation and our solutions and services have been developed around the integration of open source technology.

Our technology independence enables us to offer proven reference architectures and best-of-breed solutions comprising of both open source and vendor proprietary technologies at limited upfront investment.

Our modular security provides multi-tier protection for your data and supports regulatory compliance requirements (Eg: PCI, HIPAA, ITAR) aligned to your business needs.

Our flexible service supports quick start business proofs of concept through to advanced analytic applications. And our approach to implementing a big data system takes weeks, not months. So we can deploy a complete solution to the cloud environment of your choice within 30 days.

Take the first stepTo learn more about CSC Big Data Platform as a Service or to schedule a demonstration, speak to your CSC account manager, visit our website at csc.com/bigdata or contact us via http://www.csc.com/contact_us.

Handling the complexity of big dataCSC BDPaaS is a fully integrated scalable bundle that includes big data software, infrastructure, tools and managed services billed as part of a unified monthly subscription. It combines a proven configuration of open source technologies with CSC proprietary big data service management software.

The command and control dashboard links projects and lets you continuously roll out apps. It gives real-time visibility into the performance metrics of projects enabling you to take control of your clouds, project configuration, user access and data flows.

CSC Big Data Platform as a Service includes support for all types of analytics:

• Hadoop: Elastic Hadoop clusters and batch analytics. This service offers large-scale Hadoop analytics through Cloudera Distribution for Hadoop (CDH) or Hortonworks Data Platform (HDP). IT and power users can interact with the data stored in Hadoop through a wide range of tools such as MapReduce, Hive, Pig and Wukong.

• Queries: NoSQL database and ad hoc, query-based analytics engine delivered alongside the core Hadoop cluster. This is an advanced service for any format of document analytics, distributed text search and billion+ row structured tables, covering ad hoc and query-based analytics. It supports the most demanding SQL and NoSQL queries and applications, enabled through a wide range of tools including HBase, Elasticsearch and Impala.

• Streams: A fully managed, real-time distributed ETL and complex event-processing engine delivered alongside the core Hadoop cluster. It lets you connect to any source of data in a distributed, scalable fashion. Streaming is a linearly scalable, fault-tolerant distributed routing framework for data integration, collection, and streaming data processing.

Flexible Deployment OptionsCSC offers a choice of deployment options to suit different use cases and data protection requirements:

• Public Cloud — Amazon Web Services

• Virtual Private Cloud — CSC data center

• Enterprise Private Cloud — CSC or your data center

• Dedicated Cluster — A dedicated hardware service hosted in your own or CSC’s data center

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