Winter Internships For College Students – Step By Step Guide

Choosing Winter internships is a big decision for college students. It is important that they choose one where they will learn as much as possible but, after all, it is their Winter vacation and they should have a bit of fun as well. There are a few steps that every student should follow in order to land the Winter internship that will truly fit their educational and personal needs.
There are a few questions that every student should ask themselves before they even start looking for their dream internship. For example, do they want an Winter Internship that is full time or part time? Does the Winter Internship need to be paid or can they afford an paid internship? Do they want to travel or find a position close to home? The answers to all of these questions will have a significant impact on the kind of Winter Internship that a student will apply for.
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Once a student has an idea of what kind of Winter Internship they want, they need to find the specific Winter Internship they will apply for. A great way to start looking for an Winter Internship is meeting with a career counselor at the college or university the student attends. They will have extensive information on a variety of opportunities that the student may never have known about if they simply did an online search for Winter Internships.
Students need to remember that just because they need an Winter Internship for school does not mean that a company is required to take them on, and they will have to go through an interview process. It is important to be as prepared as possible for the interview. The student should research some background on the company, prepare questions they may want to ask the interviewer and prepare answers to some basic interview questions.
Once a student lands their Winter Internship, their work is just beginning. They need to make the most out of their experience, taking everything in and learning as much as they can from the experience. They should also make an effort to go the extra mile in all of their tasks because they never know if they will return to the company for a job interview someday.
If students follow these simple steps, they should have no trouble finding Winter Internships that they will love. They need to be very clear about the kind of Winter Internship they are looking for and seek the advice of a career counselor. Once they get the Winter Internship, they need to truly shine and show the company that they would make an excellent employee in the future.
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DevOps benefits from data-driven private clouds

lso during our webinar, we explored how a data-driven cloud offers powerful solutions.

First, let’s define “data-driven cloud.”  A data-driven cloud is one that uses real-time, continuous analysis and measurement against totally customizable and configurable SLAs. An example is  Rackspace Private Cloud, which now includes the AppFormix cloud service optimization platform that delivers all of the game-changing benefits of a data-driven cloud.

With a data-driven cloud, operators have the ability to:

Know which parts of their infrastructure are healthy and which are not

AppFormix provides real-time monitoring of every aspect of the cloud stack, right down to the processor level. This includes visibility into every virtual and physical resource at your disposal. The user-friendly interface and customizable dashboard provide a comprehensive list of metrics based on industry best practices. SLAs are completely configurable.

Empower developers with visibility and control

AppFormix offers a dashboard that operators can share with developers via a self-service user experience. Developers then have access to process-level monitoring, with real-time and historical views of their resources and the ability to drill down to deeper and deeper levels of specificity about performance. Both operators and developers can create project-level reports with a click; the report content and the recipients are customizable, and data can be exported in any format. In addition, operators and developers have access to advanced alarming and notification capabilities and can establish static and dynamic thresholds based on their preferences.

Make well-informed capacity decisions

With AppFormix, operators know the true capacity levels of their infrastructure, any time and all the time. AppFormix also enables operators to model potential changes to see what impacts will be on capacity, availability and performance.

If this sounds great on a theoretical level, below are some “real-life” examples of what a DevOps-ready private cloud can do.

  1. Troubleshoot when a user is experiencing slowness;
  2. Real-time notification of events;
  3. Maximize infrastructure ROI using utilization reports;
  4. Determine if there is capacity for a new or expanding project;
  5. Improve availability with configurable policy for SLA.

2016: The year we see the real cloud leaders emerge

Amazon, Google, and Microsoft know what it means to run hyperscale public clouds, while IBM is learning. Which will capture the enterprise as it lurches skyward?

clouds-100630160-primary.idgeAmazon, Google, and Microsoft know what it means to run hyperscale public clouds, while IBM is learning. Which will capture the enterprise as it lurches skyward?

You can probably rattle off the top enterprise software vendors without thinking: Microsoft, IBM, Oracle, and SAP. According to the best estimates I can find, those four companies together racked up close to $140 billion in software revenue in 2015, led of course by Microsoft and its well-known offerings.

Our cloud future will feature a different foursome — Amazon, Microsoft, Google, and IBM — and although public cloud revenues remain a small fraction of those driven by software, growth is by leaps and bounds across the board. AWS, whose long lead seems to grow and grow, pulled in more than $7 billion in 2015, a year-over-year expansion rate of around 80 percent.

Microsoft’s cloud business appears to be jumping as well, with an analyst at the firm FBR Capital Markets predicting that Redmond will break $8 billion in cloud revenue for 2016, up from an estimated $5 billion this year. That number includes Office 365, however (which may be cloud connected and cloud delivered, but you can’t really call it SaaS).

Based on purported revenue alone, IBM is next in line, since its last quarterly earnings report claimed $4.5 billion in annual public cloud revenue, a 45 percent jump year over year. But like Microsoft — which was recently chastised for fudging its cloud numbers by none other than ex-CEO Steve Ballmer — IBM has a history of inflating cloud revenue for the enjoyment of analysts.

Google doesn’t even break out its cloud revenue, but one source, The Information, estimates it to be a mere $400 million for all of 2015. Sounds about right, because until recently, it’s been hard to determine whether Google had an enterprise cloud strategy at all.

Then, two months ago, Google Technical Fellow Urs Hölzle predicted that Google’s cloud business could outpace its advertising business in five years. To put that in context, Google made around $65 billion in advertising in 2015.

How is Hölzle’s conjecture even remotely possible? Because in the public cloud business, infrastructure is everything. Check this recent post by InfoWorld contributor David Mytton: “Global location wars: Amazon vs. Microsoft vs. Google.” Google is No. 3 in its global coverage, but the point is the company already boasts an enormous cloud data center footprint thanks to its search/advertising business.

Note that David’s map charts public cloud availability regions, not capacity, but there’s a reason why he left out IBM: Most of IBM’s global presence has come from a buildout of SoftLayer, which lacks the platform services offered by the other three players. The IBM Bluemix PaaS has a rich bundle of services, but as far as we could determine, Bluemix as a public cloud offering is currently available only in the U.S. South, the United Kingdom, and Australia.

Given IBM’s traditional approach to business, this makes a certain degree of sense. IBM professional services can build out whatever its customers want on its SoftLayer infrastructure, with Bluemix availability gradually ramping up over time. Meanwhile, many Bluemix deployments will be on-premises, as IBM plays a hybrid long game. The other three players have more explicitly dedicated themselves to delivering public cloud self-service.

Amazon established that model, which accounts for its huge lead — although enterprise customers remain a small slice of its clientele. Microsoft has the unique advantage of a huge presence in the enterprise data center with Windows Server and System Center, which (with the help of Azure Pack and Azure Stack) it’s already using to foster a hybrid architecture for customers, with the goal of making Azure cloud a natural extension of on-premises customer infrastructure. That smooth on-ramp is part of the reason behind the bullish predictions that Azure may soon overtake AWS in the enterprise cloud competition.

Google has the most room to grow. It has a head start in the race to support production container deployments at scale, thanks to pioneering work on the Linux container spec and experience spinning up billions of containers per week — along with the recent launch of the Cloud Native Computing Foundation, which may well develop an effective hybrid play. In a December 2015 review, InfoWorld’s Peter Wayner found the Cloud Platform as it stands to be a flexible, elegant offering.

Will Google stay committed and figure out how to accommodate enterprise customers? Will Amazon offer enterprises an easier way to go hybrid with AWS? Can Microsoft sync the ongoing development of the Azure public cloud and the Azure Stack effectively? At the least, we’ll see a glimmering of answers to these and other questions in 2016.


SAP’s HANA Vora Query Engine Harnesses Spark, Hadoop for Data Analysis

SAP says its new HANA Vora query engine extends the Apache Spark processing engine to provide the data analytics muscle to pull business insights from all types of big data.

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SAP is introducing a new in-memory query engine called HANA Vora that leverages the Apache Spark open source data processing engine and Hadoop to mine business insights from vast stores of data produced by machines, business transactions and sensors.The name Vora, short for “voracious,” according to the company, reflects the product’s ability to apply big data analytics techniques to enormous quantities of data.”HANA Vora plugs into Apache Spark to bring business data awareness, performance and real-time analytics to the enormous volumes of data that industries of all types will generate just in the next five years,” said Quentin Clark, SAP’s chief technology officer, in a video introducing Vora.Clark cited estimates that global businesses will generate 44 trillion gigabytes of data by 2020. Vora will enable enterprises to merge this vast quantity of new data with existing enterprise data sets to “make meaning out of all that data.”

SAP says its goal with HANA Vora is to relieve much of the complexity and grunt work with Spark and Hadoop to produce meaningful business insights from distributed data sets.

The trick is to put big data analytics in context with an understanding of business processes to pull business insights from the data. That is what SAP says HANA Vora will achieve.Financial services, health care, manufacturing and telecommunications are just a few of the industries where big data analytics can produce significant improvements to business processes, according to SAP.For example, Vora can be used in the telecommunications industry to relieve network congestion by analyzing traffic patterns.  It can also be used to detect anomalies in large volumes of financial transactions that indicate the possibility of fraud.The company plans to release HANA Vora to customers in late September. Also available will be a cloud-based developer edition.SAP’s introduction of Vora is an “interesting strategic and practical move that could pay dividends over time,” said Charles King, principal analyst with Pund-IT.

“In essence, Vora is an in-memory query processor that can be used to speed queries of unstructured data in Hadoop/Apache Spark environments, as well as structured information in common enterprise data sources, including SAP HANA. That could be a very attractive proposition to SAP’s large enterprise customers.”The introduction of Vora is fairly timely because “Apache Spark is a very hot topic right now and other vendors, including IBM are making sizable investments” in Spark and Hadoop technology, King noted. SAP is bringing Vora to market at a time when adoption of Spark is still in its early stages and making it work with other SAP technology such as HANA, King noted.SAP also announced application development enhancements to the SAP HANA Cloud Platform that will enable enterprises to speed up the development of a variety of applicationsOne of the enhancements enables enterprises to develop applications that gather and analyze data collected from sensors and industrial control devices connected to the Internet of Things.

Services available on this platform include device data connectivity, device management and data synchronization features.SAP also announced new business services running on the HANA cloud platform. These include a new SAP global tax calculation service that is going into limited trial in September. It allows companies to calculate taxes from more than 75 countries around the world.The service supports many tax functions, including withholding taxes, value-added taxes and import/export taxes. The service also keeps pace with changes in tax laws that alter tax calculations.The company also announced a public beta test program for the SAP Hybris-as-a-Service on the HANA Cloud platform. Hybris is a cloud platform for building business services of virtually any kind. The Hybris- as-a-Service platform  is open to independent software vendors, enterprise IT organizations and systems providers to build their own cloud services and market them to customers or other application developers.

Article Source – http://www.eweek.com/cloud/saps-hana-vora-query-engine-harnesses-spark-hadoop-for-data-analysis.html