Cloud computing provides off-premises data-processing and storage applications for businesses, developers and independent software vendors (ISVs).
To this extent, it has already changed the way business IT is deployed:
While leveraging these benefits can deliver considerable financial and strategic advantage to an organization, only limited standardization of professionally-approved qualifications and practices exists.
In this environment of growing cloud-application, certification of appropriate and acceptable cloud processes and user skills is necessary “Visit A Guide to Cloud Computing Certifications”.
Enterprise cloud applications will only proliferate in the future. The need for professional standards of performance, and accountability to them, will grow commensurately. Cloud computing training and certification can generate these objectives in a way that manages cloud’s expected growth, through development of a qualified cadre of professionals well-equipped to provide a stability of innovative cloud-practice for businesses and consumers.
There has been some progress in providing certification and training sufficient to promote further professionalization of cloud services. Among those firms providing cloud training are IBM for both cloud Architecture and Infrastructure, CompTIA for Cloud Essentials, Cloud Security Alliance for cloud computing security (CCSK) certification, and CloudU for cloud fundamentals; all offer accreditation for cloud skills development and expertise Visit Top 10 Cloud Computing Certifications for 2012.
CompTIA, one of the leading proponents of certification for cloud enterprise and technical performance, suggests these domain areas be measured for appropriate proficiency before certification is awarded.
Figure 1: Cloud Proficiency Domains for Certification
|Domain||% of Examination|
|1.0 Characteristics of Cloud Services From a Business Perspective||15%|
|2.0 Cloud Computing and Business Value||20%|
|3.0 Technical Perspective/Cloud Types||20%|
|4.0 Steps to Successful Adoption of Cloud Computing||15%|
|5.0 Impact and Changes of Cloud Computing on IT Service Management||15%|
|6.0 Risks and Consequences of Cloud Computing||15%|
CompTIA Cloud Essentials Certification Exam Objectives (CLO-001) With the expanded use of big-data analyses, training and certification for Apache Hadoop has become an increasingly important IT-qualification.
Intel, the semiconductor chip-maker, offers training based on its years of experience working with Hadoop.Visit Hadoop Training Overview: Why get Hadoop Training.
Hadoop has become so favored for its big-data capacities that that something of a crisis has emerged – there are more enterprise-uses for Hadoop (to warehouse, process and evaluate huge quantities of information) than there are skilled Hadoop-practitioners.Training programs for the open source framework have multiplied to meet the demand.
Hortonworks, MapR, Cloudera, and Big Data University are four of the most prominent. Visit Get started with Hadoop.
GlobalKnowledge is a certified Cloudera Hadoop-training partner; all these programs provide certification for analyzing the world’s 2 trillion gigabytes of data, an amount expected to double by 2015 Visit Cloudera: GlobalKnowledge.Certification also requires training for managing systems and their strategies. While cloud IT offers lower costs and increased agility, selecting the system format most applicable to an organization’s specific needs can be problematic.
This reduces data-center time and cost expenditures by 50% – 70%, as personnel are freed from manually designing, building and deploying environments. However, these essentials must be supplemented by both practical and theoretical knowledge of a multitude of cloud functions and environments before certification is achieved.
Qubole is a significantly more polished product than EMR. Data scientists can explore their data in S3, create tables and query those tables all via an easy-to-use web UI
Qubole’s fantastic support has been key in our successful deployment. They continue to deliver of new features and revisit the ones that we ask for
Our goal at MediaMath was to take our existing industry leading infrastructure to the next level handling new complex analytics tasks. Qubole has helped us enable this goal with minimal risk.
Instead of worrying about provisioning clusters of machines or job flows or whatever, Qubole lets you focus on your data and your queries … The Qubole guys have been extremely helpful!
The service spins up users’ clusters only when a job is started, then automatically scales or contracts them based on the workload, and spins the servers down once the job is done.
Qubole’s Hadoop and Hive interfaces are vastly superior to the default CLIs, which scare business analysts and hinder meaningful analyses of the gaming logs that we collect. With Qubole, business analysts are self-sufficient in using a Big Data platform to meet their advanced analytic needs.
Online Gaming Company
top-performing technologies in the data industry are definitely taking aim at democratizing data tools and bringing the power of data to smaller businesses. This is a major change in the data industry, and Qubole Data Service is a great example
I’m very happy to be using Qubole in production. Qubole has saved me a lot of time, effort, and trouble in getting my data processing pipelines up and running. My data pipelines process Appnexus data in Amazon S3 which is then stored in Vertica. The engineering team understands the complexities and provided awesome support!
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There’s a whole world of web companies, SMBs and other non-Facebooks or Yahoos that will want to use Hadoop but not want to run it in-house…offering a cloud service makes it easier for these users to get started with the platform and for Qubole to keep improving.
Qubole offers a big data ETL and exploration service through auto-scaling Hadoop clusters with a web user interface for data exploration and integration with various data sources. The service can do (nearly) everything EMR can do, and it goes further
Big Data Republic
Simba knows Big Data access. Qubole knows Big Data. Qubole’s founders authored Apache Hive, built key parts of the Hadoop eco-system and brought Apache HBase to Facebook
“The integration of Tableau and Qubole makes it faster and easier for our customers to operationalize Big Data…lowers the resource barriers to deriving the benefits of Big Data because customers can deploy our joint solution seamlessly and cost effectively.”