Searching for god job, or dream job and Career Cast has been shifted from side to side from the database opportunities’ to nationwide IT jobs search and grown up with a list of the best for 2016, based on research, analysis, salary and the importance of the work at their companies. The analysis of 2016 not only helped what makes the career grow fast but also how fast each type of job is growing, and anticipated how possible that job is to keep growing.
Let’s have a look on some of the in-demand jobs of 2016, and the jobs that will grow like crazy in 2017.
As per recent survey web developers earned $64,970 on average in 2016, however, this is not the highest paying IT job in the industry, but this job has one major thing going for it. The jobs for web developers will be on high pace and on-demand demand and are predictable to grow by 30% through 2020.
As long as computers and applications exist; computer systems analysts also exit. The survey says that this proportion of job has earned more than Dollars 85,800 on average by 2016. As long as we use computers and write software for them, we would be in need of troubleshooting the troubles when things may go wrong. The need of a systems analyst will grow and this job is expected to rise up by 21% through 2020.
Information Security Analysts was one of top notch jobs of 2016, which earned nearly Dollars 90,120 in 2016. As our computers, devices and system usage is more, the data storage need is also increasing more and more to store the important, huge and sensitive information. This is the reason there's rising demand for professionals who know how to keep all your stuff secure. Jobs for this skill is predictable to be on the rise by 20% through 2020.
The need and demand for the Software engineers will stay till we have the software. This is again on demand and most happening jobs since a few years from now. The earning of Software Engineers have reached on top of every job we saw up to now, the analysis shows that the earnings reached to $100,690 on average in 2016, and without any doubt, they can rise to unexpected numbers by the end on 2017. Any level of company you see, there is a very high need of a person with some basic knowledge in software skills. This is a skill in demand all over; from high-tech companies to everyday organizations need custom software expert to serve their own customers and employees. The estimated growth for software engineers is projected to rise 25% through 2020.
The demand for Data storage, Data Analysis, Data Analytics, and Data Scientists are going to be on top on top and this job has earned Dollars 28,240 in 2016 and may be on high rise by mid of 2017; we need to thank the boom in all things of data and big data; demand for this job isn't going away anytime soon. You will see huge Jobs coming in 2017 for Data Scientists with a rise of 20% through 2020.
The IT professionals who are into managing the computers and computer networks are also in high positions in every organization. This job is in boom globally and earned $77,810 in 2016 alone. It's true that the trend towards cloud computing is renting the computers you need to access over the internet, but it doesn’t mean that the companies are buying fewer computers than they usually do. However, the demand and need of this job is high and will remain the same and it’s not going to vanish. Job openings for this job are expected to be 15% through 2020.
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Growing the business in very short time is not that very easy for everyone. It requires boosting sales; but it is not just simply selling your product or service to existing and potential customers. A business will be successful only if it has a methodical and well-organized way of meeting leads so that they can be transformed to sales and eventually loyal customers. After so much research and study on the various CRM’s, Salesforce is recommended as one of the best CRM software for the businesses as it offers the whole lot needed to make it earlier and easier to close the sales for a business. Here are some credible reasons as to why it is the best CRM software in the marketplace.
Customer Relationship Management software solutions are offered often in ‘on-premises’ delivery models since 15 years from now; usually companies install this software on their servers and maintain it in-house. However, with the help of on-premise CRM software’s today the IT companies had a benefit to take the technical responsibilities that include the system design, infrastructure and server supervision.
However there is a lined way for a narrative kind of CRM and the Cloud based CRM. While these CRM applications can be hosted by the vendors and organizations in any cloud based CRM’s and help to increase access to data throughout the web without having to fret about any practical aspects of managing it.
Cloud has become so popular over time; and upsetting the thought of the on-premise CRM model as there was no software license fee involved, and the organizations don’t need devoted IT staff or infrastructure. The Cloud CRM has in turn reduced the cost of monthly services and eased the set up process.
Organizations are in need of a cloud CRM as it helps them to deal with all sorts of customer concerns varying from marketing to sales and towards promoting to customer service. This process not only streamlines the enterprises but in turn help in saving valuable capital and time. Salesforce was founded in the year 1999 by former Oracle executive Marc Benioff, Dave Moellenhoff, Parker Harris, and Frank Dominguez - with a dream to reinvent the Cloud CRM model and now, Salesforce defines the new era of cloud computing.
Salesforce proficient version helps the marketing teams of a company create and track a variety of marketing campaigns to determine the success rate and automatically provide leads to the sales team of the company.
Salesforce also keeps a track of various customer issues and tracks them for resolution based on various increase rules such as the significance of the client and beyond time. This improves customer satisfaction levels as the issues do not fall through pitfalls and are directly escalated to the next level.
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Development and testing walk side by side in any organization, and will also work apart in some scenarios. The use of Independent software testing companies today is huge as they play a vital role and carry immense technological understanding and are solely dedicated to testing different types of software applications thoroughly. You can choose custom made software testing services and solution offerings which allow various companies to get a break from testing activities and focus more on other business areas.
Many businesses now rely on software applications and software development companies which projected to provide fully functional, high performance based and secured software applications. If these factors are omitted, then it could lead to the heavy loss for the businesses. Before the product or the software is ready to release the development team needs to filter the product through many phases and ensure that the application or software is moved to testing, this helps the development teams to find all the minor and major bugs before they release the product and help them to realize the pre-development issues and post development issues that always leads to close down the task before it goes out the market.
The testing phase is essential for any application or software. If it is not performed properly, then it will not only effect the pre-developed applications, but complete software development life cycle, due to this the product / applications might not come out with the quality expected. This is the practice companies perform testing of their software applications just before they are released to the market. This can be terrible as testing in the last stages as on the things to see will be with of many defects which could be functional or nonfunctional. The major purpose of testing is to make sure that software applications work accurately and meet user prospect. The development companies that work on multiple projects might face difficulties in testing for each assignment due to lack of required time. If they want to perform testing in-house, the management might need to maintain multiple teams to handle testing projects which can be costly.
These companies might also face challenges in finding the suitable testing tool for the project, and even face difficulties in finding accurate testers who carry knowledge on current tools than the existing testers have. To maintain development and testing activities is a huge challenge. The Independent software testing service providers’ help vendors to have a better choice for the software development companies that want to get free from testing activities and achieve quality service for their money. These vendors offer only software testing services, and more to it they are able to provide preferred testing services for different applications, where as some vendors also offer software testing services and solutions that provide flexibility and competence for the testing seeking companies. On average, these vendors connect a pool of capable testers who have deeper expertise in the relevant projects, identify right tools for the project and adhere to deadlines. Most independent software testing vendors are equipped with capabilities like best practices, robust test management, effective test execution, monitoring, global delivery, and 24/7 support. This will help a software development company accelerate time to market.
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Two development firms in Big data and Analytics space; DATA -Tableau and Hortonworks saw a critical time when their data released missed the forecast by 0.05$, and dropped their stock by five percent. This is what going frequently with companies and no one has any clue on what is going on with BI business Intelligent and Hadoop space. Should companies run from BI and Big data space before it completely collapses?
Instead of focusing on the sensational headlines; the investors and technology corporate leaders should also focus on the missed forecasts as they leave some clue on some important analysis and trends which will help them to grow.
While the companies need to look at their results in the context of the industry as a whole; which will show the exact results as per the worldwide analysis. As per the Gartner’s analysis for worldwide dollar-valued IT; it says that IT spending has grown in 2016 at a flat percent of 0.0. However, 35% of growth is fairly incomparable by this benchmark, and if we look at Hortonworks’ results for this gone quarter: then the total revenue grew by 46% year over a year.
This means, the Investors’ expectations are growing high and even they are tough to manage. To manage this kind of issues the industry observers and technology buyers should standardize the performance of both organizations against the rest of the industry before they make a knowledgeable conclusion.
As per recent survey —Teradata also reported revenue and its business shrink by 4% Year over a year. Leaving other things remaining equal, the analysis says that Hortonworks could generate more revenue than Teradata by 2020.
Let’s look on some of the data analysis pitfalls you should avoid before you are sucked in.
Confirmation Preference
If you have a proposed explanation in your mind; but you are only looking for the data patterns that support it and ignore all data points that reject It. Then let us see what will happen.
First, analyze the results of that particular patterns performed well and find the conversion rate on the landing page. This will help you to really perform high than the average you think. By doing or following such analysis you can use that as the sole data point to prove your explanation. While, completely ignoring the fact of those leads will qualify or the traffic to the landing page will be sub-par.
There is again a thumb rule which is very important to remember, you should never approach data exploration with a precise conclusion in mind; as most of the professional data analysis methods are built in a way that you can try them before you actually go and reject your proposed explanation without proving it or to reject it to the void.
Correlation Vs Cause
Combining the cause of a fact with correlation somewhat will not show any action. While, when one action causes another, then they are most certainly correlated. However, just because two things occur together doesn’t mean that one caused the other, even when it seems to make some sense.
You might find a high positive association between high website traffic and high revenue; however, it doesn’t mean that high website traffic will be the only cause for high revenue. There might be an indirect or a common cause to both that may help to generate high revenue more likely to occur when high website traffic occurs.
For example, if you find a high association between the number of leads and number of opportunities from a classic B2B data quest, then you might gather a high volume of leads with a high number of opportunities.
Here are some more things that you need to watch when doing data analysis:
• Do not compare unrelated data sets or data points and conclude relationships or similarities.
• Analyze incomplete or “poor” data sets and make proper decisions based on the final analysis of that data.
• Do not analyze the data sets without considering other data points that might be critical for the analysis.
• The act of grouping data points collectively and treating them as one. Which means, looking at various visits to your website and creating unique visits and total visits as one and inflating the actual number of visitors and converting it to the best conversion rate.
• Do not ignore any simple mistakes and oversights which may happen anytime.
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Digitalization, digital networking, research, network automation, education and educational networks; are all these the buzz words of recent technology and for education institutions? Why everyone is talking about digitalization and networks, how are these both interconnected; and what is network automation and education networks are what we are going to know on this blog today .
While what the smaller research say about the education networks and individual campus networks; we can say that both stand for the same aim which is implementing education through current network automation strategies and tools. Are these tools, strategies, and significant efficiencies or the network automation wave more hype than these smaller institutions?
Let us look at some of the regional networks, how they are succeeded and what are the challenges involved in this path of deploying various network automation with relatively small and outsourced staff and support. Also discussed will be the experience of working with this diverse technology and how it increased the awareness about the possible proposed value of network automation and how regional’s can assist smaller schools through this network path.
Digital learning and collaboration have become an essential part of today’s education. From k-12 schools are implementing the methods of digital learning. These blended learning methods and one to one computing programs are reshaping the classroom studies and engaging more students to become tech-savvy’s. The higher educational institutions are announcing BYOD- which means bring your own device concept; students are also allowed to use their smart phones, laptops, tablets and other gadgets to be connected. This helps the institutions to meet the unprecedented demand for connectivity with high performance and to get recognized as highly reliable campus and data network center solution provider.
Challenges:
The hike of latest technologies, mobile devices and growing appetite for applications and rising security concerns are placing new burdens on educational networks. To meet these challenges, schools are expanding their networks to meet student and faculty expectations for high performance, highly reliable, and always-on connectivity.
The school network is always mission-critical, and downtime will be more and un-tolerable when class lectures, research projects, assignments are involved. We can see diversity and richness using these educational applications as learning is increasingly leveraging interactive curricula, collaboration tools, streaming media, and digital media. The success of the Common Core Assessments hugely depends on connectivity. The higher education, universities, and colleges that have poor quality, non-ubiquitous network access, quickly discover that this is affecting their registration/enrollment rates.
The other challenge is with the number of Wi-Fi devices and the types of devices students bring to a university or college campus; Students commonly have three or more devices like; smartphone, tablet, laptop, gaming device, or streaming media player and expect flawless connectivity. While higher education is deploying wireless IP phones for better communications, IP video cameras to develop physical security, and sensors for a more efficient environment. The projections for the Internet of Things, which will connect hundreds of billions of devices in a few short years, are nothing short of staggering.
The trends that educational networks are looking today for students, faculties and administrator expectations is that of for the connectivity which is rising and the complexity and cost of networking are also growing exponentially. In addition to this growth, the “adding on” to networking equipment for old designs is causing the network to become ever more fragile. IT budgets are tight, and technology necessities are growing faster than the funding.
What if schools took a step back and had a unique opportunity to proactively aim their networks to meet the challenges which hit today and tomorrow? What if deploying the network was simple, not a manual, time-consuming chore? What if your initial design and build could scale for years to come, without having to build configurations on the fly every time? What if networks were easier to plan and build, configure and deploy, visualize and monitor—and had automated troubleshooting and broad reporting?
The tools which are of high configurations help the educational networks are Juniper Networks, HP, CODE42, DLT, EKINOPS, Level 3, cloudyCluster, OSI and much more. It’s time to update the educational institutions towards the design, building, and maintaining the network and taking the advantage of automation and modern management tools to create scale, consistency, and efficiency.
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