Search Results - standalone

Topic: Job Board vs. Social Media: etworks? Fact is, the social networks are awesome and amazing at what they do: being social networks. Their challenge is how to effectively monetize their assets. Posting jobs seems an easy entrée and with the tools available, anyone with a website can do so. However, no social network has provided a platform rich enough to maximize the user experience and reach critical mass, and at times many seem confused and clumsy in their attempts. Why? Because they are social networks, not job boards. Search Engines: There is a lot of chatter about search engines replacing job boards. I agree that they are often used as starting points. However, when you use a search engine to conduct a job search the vast majority of results originate from job boards. As for job search engines doing in the job boards, they are great for what they are and certainly have carved out a nice place in this space that will continue to grow. However, as valuable as they are, as a standalone they are limited by design to offer the user the best possible experience and search filtering. “Walk up Hill both Ways” Recruiters: The recruiter who feels the need to walk both ways to work, uphill, barefoot in the snow, and insist that their clients would not pay a fee for a candidate sourced from a job board is missing out on a significant source of revenue. When I was recruiting I never had a client ask me the source of my candidates; they don't care. So long as you are making their job easier, they are getting the best candidate and that candidate says "yes" to their offer they are happy. Further, I assure you that every recruiter has placed a candidate from a job board, social network, directory, referral, etc. that was already in your clients database. The job of a successful recruiter is to not simply generate resumes but to source the best candidate by any means possible and manage the process for their clients. Therein lies the value. I’ll prove it. Before the internet how did recruiters source candidates? They placed ads in newspapers, bought stolen company directories and used their referral network. All these tools were available to internal recruiters, too. We all use the same tools, whether it is 1976 or 2010. The truth is, given the same set of tools, recruiters' proficiencies vary and the most successful recruiters use every tool in the tool box to the max. The “I work Linkedin.com” Recruiter I hear it all the time…”I will only work with passive candidates, no job board candidates for me, I use Linkedin.com”. Now I love Linkedin.com and use it daily as a source of networking and keeping ahead of the industry, but let’s face it, when a Linkedin.com user posts their entire career history and do not restrict contact, they are hardly passive. Even if they do restrict contact you know where they work. Truth is, Linkedin.com is one of the most fertile and accessible candidate resume databases on the market. Finally, why has bashing job boards almost become a national sport? Is it so difficult to accept that job boards have a place in every recruiting strategy and for the most part are simply the most efficient and effective way for employers to advertise their openings to job-seekers?…; Added by Christopher L. Poreda at 10:44am on February 1, 2010

Topic: Hadoop Or Apache Spark - Which one is Better for a Secure Career?: her as part of one same team. Naturally comparing the two directly will actually be complicated since Big Data Hadoop and Spark have many similar things in terms of functionality and there are also a lot of areas that overlap. With majority data science development having happened in the last few years, the need to see data differently and the approach of big data has changed significant things. One way to think about Big Data Hadoop and Spark is both are scenario based and they are never exclusive. However, you need to know that there are some business applications where in Hadoop is not as good a performer compared to the latecomer Spark. Then again, you have to know that either of the two cannot be replaced for the other but the two get to be compatible and form a powerful solution for a wide range of big data based applications. Understanding Hadoop Up CloseHadoop is a project of apache.org - a software library as well as a framework allowing distributed processing of big data sets across many clusters in context of computers.The mode of such processing is based on a number of varied programming models on a simple scale. The main Hadoop Framework modules include- ●Hadoop common●Hadoop Yarn●Hadoop distributed file system●Hadoop MapReduce Hadoop comes across as especially useful for companies when the sets of data become so huge or complex that existing solutions become unable to effectively process all the information within the right span of time. Looking Up Spark Up CloseSpark has been developed by Apache too, a fast and general engine for large scale data processing. Some critics from the internal memory-processing feature in Spark admits that it is much fast and nearly 100 times better than what Hadoop Mapreduce Framework offers. Spark’s claim to fame has been its data processing in real time capacity when compared to Hadoop's batch processing engine and disk bound processing. Spark is also a good processor when it comes to batch processing but it actually excels more at streaming workloads, it is machine based and promotes interactive queries. One fact you cannot overlook is Spark can actually run as part of a Hadoop module and provides a standalone solution. It is also a computing-based cluster framework and this means more competent with MapReduce than with the entire Hadoop ecosystem. One difference between both is they need to acknowledge Hadoop makes use of persistent storage while Spark makes use of resilient distributed datasets. Spark is better known for performance and it is actually more popular for its ability in terms of usage. It comes with interactive boards that age developers as well as users to provide immediate feedback in terms of actions and queries. This is missing in the Hadoop MapReduce framework. However, Hadoop beats Sparks in terms of being more cost-effective because the latter requires a lot of RAM. In terms of security, Hadoop offers Kereberos authentication, a tough thing to manage while the security in Spark comes across as sparse and is currently supported by authentication via password. Summing UpYou could say that while Spark alone is a better choice for big data apps but it is not so exactly. Both Hadoop and Spark are in a symbiotic relationship but each of them have exclusive and different features. Summing up, you could say that both the systems have to be used in coalition for getting maximum efficiency in big data management.…; Added by Michael Warne at 3:54am on October 24, 2017

Blog Post: The Candidate Experience – Part 1: Sourcing and the Thrill of the Chase

(reposted from Make HR Happen5/23/2012)

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Added by Tom Bolt at 10:47am on May 24, 2012

Blog Post: OPINION: Why Cyber Security should be taught in our schools: As opposed to past generations, schoolchildren today have been brought up around technology and the use of computers for as long as they can remember.…; Added by Jake Holyoak at 3:39am on December 3, 2019

Blog Post: How to Turbocharge Your Interview Scheduling Productivity: Conducting multiple interviews is a crucial step to find the candidates who have required competencies and show culture fit. However, recruiters often face …; Added by Rakuna at 10:54pm on October 15, 2021

Blog Post: The Business Closures That Shook the UK

Despite Brexit uncertainty, in 2019, the…

Added by Caitlin Purvis at 5:49am on March 18, 2021

Blog Post: What actually happens to online applications?: Every day thousands of professionals take the time to apply to a job opportunity online. The vast majority never receive a personal response, only an automated email confirming the…; Added by Mark Nelson at 4:53pm on May 8, 2012

Blog Post: Interview Schedule Advices for Recruiters: Best Time to Interview: In interview schedule arrangements, as recruiters, you must be thorough with every action you take. Specifically, it would help to consider meeting time among the most critical matters in this…; Added by Rakuna at 4:45am on November 11, 2024

Blog Post: The One About Video Interviewing: I had to write a post on video interviewing, because somehow, this has become…; Added by Matt Charney at 9:10am on October 16, 2013