Welcome!

Cloud Security Authors: Elizabeth White, Pat Romanski, Maria C. Horton, Liz McMillan, Ravi Rajamiyer

Related Topics: @CloudExpo

@CloudExpo: Blog Post

Cloud Analytics Checklist

What are enterprise users looking for from a cloud analytics solution?

Cloud Data Analytics on Ulitzer

In the previous article we looked at how realtime cloud analytics looks set to disrupt the $25B SQL/OLAP sector of the IT industry. What are users looking for from a next-generation post-SQL/OLAP enterprise analytics solution? Let's look at the requirements:

  • Realtime + Historical Data. In addition to analyzing (historical) data held in databases (Oracle, SQLServer, DB2, MySQL) or datastores (Hadoop, Amazon Elastic MapReduce), a next-gen analytics solution needs to be able to analyze, filter and transform live data streams in realtime, with low latency, and to be able to "push" just the right data, at the right time, to users throughout the enterprise. With SQL/OLAP or Hadoop/MapReduce, users "pull" historical data via queries or programs to find what they need, but for many analytics scenarios today what's needed instead, to handle information overload is a continuous "realtime push" model where "the data finds the user".

  • External + Internal Data. In the past it was so simple, an enterprise had only to deploy a few large specialized systems (ERP, CRM, Supply Chain, Web Analytics) to handle the internal data flowing through the organization. Today, in order to be able to operate with peak efficiency, a large enterprise will need to have a detailed realtime integrated awareness of all kinds of data sources that could impact the business, for example, information on: customers, partners, employees, competitors, marketing, advertising, pricing, web, news, markets, locations, gov data, communications, email, collaboration, social, IT, datacenters, networks, sensors.
  • Unstructured + Structured Data. SQL/OLAP analytics was built on the idea that data would be held in relational databases, and that the data would be highly structured. Today, this no longer applies. Much of the most valuable data to an enterprise today is either semi-structured or unstructured.
  • Easy-To-Use. SQL/OLAP has proved to be too complex for most enterprise users who need access to analytics for their work. Excel with its simple charting, visualization, sharing and collaboration features provides a much more attractive interface for most users. Other products and services such as Qlikview and GoodData also provide ease-of-use, but none of them (Excel included) offers the kind of realtime analytics, scalability and parallel processing required in analytics today. Despite its complexity and lack of mainstream adoption within the enterprise, a few companies have taken SQL/OLAP and made it even more complex by adding in features to support realtime stream processing. None of these StreamSQL solutions seem to have achieved any widespread adoption to date.
  • Cloud-Based, Pay-Per-Use. Every company looking to compete in the next-generation analytics market will have to have at least a public cloud offering, and most will also have virtual private cloud and private cloud offerings. Since enterprise data will often be held on more than one cloud, it will be increasingly important to have an "intercloud" capability, where analytics apps can be run simultaneously across multiple (public and/or private) clouds, e.g. across Amazon AWS and Windows Azure.
  • Elastic Scalability, Parallel Processing, MapReduce. With exponentially growing data volumes it will be essential to offer the elastic scalability and parallel processing required required to handle anything from one-off personal data analysis tasks up to the most demanding large-scale analytics apps required by the world's leading organizations in business, web, finance and government.
  • Seamless Integration With Standard Tools (Excel). With 40 Million analytics power users using Excel, this is a must for any analytics solution looking to achieve significant market adoption.

At Cloudscale, we've compiled a Cloud Analytics Checklist, showing how various analytics products/services measure up against this set of requirements. If you're thinking about cloud analytics and would like a copy of the Checklist then send a request with your email address via the Cloudscale website (no signup required) or by email to [email protected], with the word Checklist in the Subject line.

More Stories By Bill McColl

Bill McColl left Oxford University to found Cloudscale. At Oxford he was Professor of Computer Science, Head of the Parallel Computing Research Center, and Chairman of the Computer Science Faculty. Along with Les Valiant of Harvard, he developed the BSP approach to parallel programming. He has led research, product, and business teams, in a number of areas: massively parallel algorithms and architectures, parallel programming languages and tools, datacenter virtualization, realtime stream processing, big data analytics, and cloud computing. He lives in Palo Alto, CA.

IoT & Smart Cities Stories
The platform combines the strengths of Singtel's extensive, intelligent network capabilities with Microsoft's cloud expertise to create a unique solution that sets new standards for IoT applications," said Mr Diomedes Kastanis, Head of IoT at Singtel. "Our solution provides speed, transparency and flexibility, paving the way for a more pervasive use of IoT to accelerate enterprises' digitalisation efforts. AI-powered intelligent connectivity over Microsoft Azure will be the fastest connected pat...
There are many examples of disruption in consumer space – Uber disrupting the cab industry, Airbnb disrupting the hospitality industry and so on; but have you wondered who is disrupting support and operations? AISERA helps make businesses and customers successful by offering consumer-like user experience for support and operations. We have built the world’s first AI-driven IT / HR / Cloud / Customer Support and Operations solution.
Codete accelerates their clients growth through technological expertise and experience. Codite team works with organizations to meet the challenges that digitalization presents. Their clients include digital start-ups as well as established enterprises in the IT industry. To stay competitive in a highly innovative IT industry, strong R&D departments and bold spin-off initiatives is a must. Codete Data Science and Software Architects teams help corporate clients to stay up to date with the mod...
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
Druva is the global leader in Cloud Data Protection and Management, delivering the industry's first data management-as-a-service solution that aggregates data from endpoints, servers and cloud applications and leverages the public cloud to offer a single pane of glass to enable data protection, governance and intelligence-dramatically increasing the availability and visibility of business critical information, while reducing the risk, cost and complexity of managing and protecting it. Druva's...
BMC has unmatched experience in IT management, supporting 92 of the Forbes Global 100, and earning recognition as an ITSM Gartner Magic Quadrant Leader for five years running. Our solutions offer speed, agility, and efficiency to tackle business challenges in the areas of service management, automation, operations, and the mainframe.
The Jevons Paradox suggests that when technological advances increase efficiency of a resource, it results in an overall increase in consumption. Writing on the increased use of coal as a result of technological improvements, 19th-century economist William Stanley Jevons found that these improvements led to the development of new ways to utilize coal. In his session at 19th Cloud Expo, Mark Thiele, Chief Strategy Officer for Apcera, compared the Jevons Paradox to modern-day enterprise IT, examin...
With 10 simultaneous tracks, keynotes, general sessions and targeted breakout classes, @CloudEXPO and DXWorldEXPO are two of the most important technology events of the year. Since its launch over eight years ago, @CloudEXPO and DXWorldEXPO have presented a rock star faculty as well as showcased hundreds of sponsors and exhibitors! In this blog post, we provide 7 tips on how, as part of our world-class faculty, you can deliver one of the most popular sessions at our events. But before reading...
DSR is a supplier of project management, consultancy services and IT solutions that increase effectiveness of a company's operations in the production sector. The company combines in-depth knowledge of international companies with expert knowledge utilising IT tools that support manufacturing and distribution processes. DSR ensures optimization and integration of internal processes which is necessary for companies to grow rapidly. The rapid growth is possible thanks, to specialized services an...
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...