Welcome!

@CloudExpo Authors: Zakia Bouachraoui, Elizabeth White, Yeshim Deniz, Pat Romanski, Liz McMillan

Related Topics: SYS-CON ITALIA, Containers Expo Blog

SYS-CON ITALIA: Article

Cloud Computing: Making Analytics in the Cloud a Reality

There will soon be a myriad of announcements of DBMS offerings in the cloud

There will soon be a myriad of announcements of DBMS offerings in the cloud. Many of these will NOT be marriages made in heaven. However, the most innovative new DBMS software combined with new cloud computing services are here today and truly take advantage of the cloud architecture in order to change the economics and the responsiveness of business analytics.

My belief is that cloud computing will change the economics of business intelligence (BI) and enable a variety of new analytic data management projects and business possibilities. It does so by making the hardware, networking, security, and software needed to create data marts and data warehouses available on demand with a pay-as-you-go approach to usage and licensing.

A computing cloud, such as the Amazon Elastic Compute Cloud, is composed of thousands of commodity servers running multiple virtual machine instances (VMs) of the applications hosted in the cloud. As customer demand for those applications changes, new servers are added to the cloud or idled and new VMs are instantiated or terminated.

Cloud computing infrastructure differs dramatically from the infrastructure underlying most in-house data warehouses and data marts. There are no high-end servers with dozens of CPU cores, SANs, replicated systems, or proprietary data warehousing appliances available in the cloud. Therefore, a new DBMS software architecture is required to enable large volumes of data to be analyzed quickly and reliably on the cloud's commodity hardware. Recent DBMS innovations make this a reality today, and the best cloud DBMS architectures will include:

  1. Shared-nothing, massively parallel processing (MPP) architecture. In order to drive down the cost of creating a utility computing environment, the best cloud service providers use huge grids of identical (or similar) computing elements. Each node in the grid is typically a compute engine with its own attached storage. For a cloud database to successfully "scale out" in such an environment, it is essential that the database have a shared-nothing architecture utilizing the resources (CPU, memory, and disk) found in server nodes added to the cluster. Most databases popularly used in BI today have shared-everything or shared-storage architectures, which will limit their ability to scale in the cloud.

  2. Automatic high availability. Within a cloud-based analytic database cluster, node failures, node changes, and connection disruptions can occur. Given the vast number of processing elements within a cloud, these failures can be made transparent to the end user if the database has the proper built-in failover capabilities. The best cloud databases will replicate data automatically across the nodes in the cloud cluster, be able to continue running in the event of 1 or more node failures ("k-safety"), and be capable of restoring data on recovered nodes automatically -- without DBA assistance. Ideally, the replicated data will be made "active" in different sort orders for querying to increase performance.

  3. Ultra-high performance. One of the game-changing advantages of the cloud is the ability to get an analytic application up quickly (without waiting for hardware procurement). However, there can be some performance penalty due to Internet connectivity speeds and the virtualized cloud environment. If the analytic performance is disappointing, the advantage is lost. Fortunately, the latest shared-nothing columnar databases are designed specifically for analytic workloads, and they have demonstrated dramatic performance improvements over traditional, row-oriented databases (as verified by industry experts, such as Gartner and Forrester, and by customer benchmarks). This software performance improvement, coupled with the hardware economies of scale provided by the cloud environment, results in a new economic model and competitive advantage for cloud analytics.

  4. Aggressive compression. Since cloud costs are typically driven by charges for processor and disk storage utilization, aggressive data compression will result in very large cost savings. Row-oriented databases can achieve compression factors of about 30% to 50%; however, the addition of necessary indexes and materialized views often swells databases to 2 to 5 times the size of the source data. But since the data in a column tends to be more similar and repetitive than attributes within rows, column databases often achieve much higher levels of compression. They also don't require indexes. The result is normally a 4x to 20x reduction in the amount of storage needed by columnar databases and a commensurate reduction in storage costs.

  5. Standards-based connectivity. While there are a number of special-purpose file systems that have been developed for the cloud environment that can provide high performance, they lack the standard connectivity needed to support general-purpose business analytics. The broad base of analytic users will use existing commercial ETL and reporting software that depend on SQL, JDBC, ODBC, and other DBMS connectivity standards to load and query cloud databases. Therefore, it's imperative for cloud databases to support these connection standards to enable widespread use of analytic applications.
In summary, cloud databases with the architectural characteristics described above will be able to not just run in the cloud, but thrive there by:

  • "Scaling out," as the cloud itself does
  • Running fast without high-end or custom hardware
  • Providing high availability in a fluid computing environment
  • Minimizing data storage, transfer, and CPU utilization (to keep cloud computing fees low)

More Stories By Jerry Held

Jerry Held is Executive Chairman of Vertica and CEO of the Held Consulting Group, a firm that provides strategic consulting to CEOs and senior executives of technology firms ranging from startups to very large organizations and private equity firms. Prior to his current position, Held was a senior executive at both Oracle Corp. and Tandem Computers.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


CloudEXPO Stories
Transformation Abstract Encryption and privacy in the cloud is a daunting yet essential task for both security practitioners and application developers, especially as applications continue moving to the cloud at an exponential rate. What are some best practices and processes for enterprises to follow that balance both security and ease of use requirements? What technologies are available to empower enterprises with code, data and key protection from cloud providers, system administrators, insiders, government compulsion, and network hackers? Join Ambuj Kumar (CEO, Fortanix) to discuss best practices and technologies for enterprises to securely transition to a multi-cloud hybrid world.
"Calligo is a cloud service provider with data privacy at the heart of what we do. We are a typical Infrastructure as a Service cloud provider but it's been designed around data privacy," explained Julian Box, CEO and co-founder of Calligo, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
We are seeing a major migration of enterprises applications to the cloud. As cloud and business use of real time applications accelerate, legacy networks are no longer able to architecturally support cloud adoption and deliver the performance and security required by highly distributed enterprises. These outdated solutions have become more costly and complicated to implement, install, manage, and maintain.SD-WAN offers unlimited capabilities for accessing the benefits of the cloud and Internet. SD-WAN helps enterprises to take advantage of the exploding landscape of cloud applications and services, due to its unique capability to support all things cloud related.
Discussions of cloud computing have evolved in recent years from a focus on specific types of cloud, to a world of hybrid cloud, and to a world dominated by the APIs that make today's multi-cloud environments and hybrid clouds possible. In this Power Panel at 17th Cloud Expo, moderated by Conference Chair Roger Strukhoff, panelists addressed the importance of customers being able to use the specific technologies they need, through environments and ecosystems that expose their APIs to make true change and transformation possible.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure using the Kublr platform, and how Kubernetes objects, such as persistent volumes, ingress rules, and services, can be used to abstract from the infrastructure.