IBM Training Classes in Toledo, Ohio
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10 June, 2024 - 14 June, 2024 - RED HAT SATELLITE V6 (FOREMAN/KATELLO) ADMINISTRATION
1 April, 2024 - 4 April, 2024 - OpenShift Fundamentals
22 April, 2024 - 24 April, 2024 - Object-Oriented Programming in C# Rev. 6.1
24 June, 2024 - 28 June, 2024 - RHCSA EXAM PREP
17 June, 2024 - 21 June, 2024 - See our complete public course listing
Blog Entries publications that: entertain, make you think, offer insight
It’s the eternal conundrum of a hiring manager – you have to hire for every single position in the company without any first-hand experience. How to do it? If you can have a trusted programmer sit in on the interview, that’s ideal, of course. But what if you’re hiring your first programmer? Or what if you’re hiring a freelancer? Or what if company policy dictates that you’re the only person allowed to do the interviewing? Well, in that case, you need some helpful advice and your innate bullshit detector. We questioned programmers and hiring managers and compiled a list of dos and don’ts. Here are some things to ask when interviewing programmers:
Past Experience
Ask the programmer about the biggest disaster of his career so far, and how he handled it. Did he come in at midnight to fix the code? Was he unaware of the problem until someone brought it up? Did someone else handle it? According to our programmer sources, “Anyone worth their salt has caused a major meltdown. If they say they haven’t, they’re lying. Or very, very green.” Pushing a code with bugs in it isn’t necessarily bad. Not handling it well is bad.
As usual, your biggest asset is not knowing the field, it is knowing people. Asking about career disasters can be uncomfortable, but if the interviewee is experienced and honest then she won’t have a problem telling you about it, and you will get an idea of how she handles mishaps. Even if you don’t understand what the disaster was or how it was fixed, you should be able to tell how honest she’s being and how she handles being put on the spot.
Viruses, trojans, and other malicious programs are everywhere. There's always a new threat to your computer's security, and many of these threats invade your computer without you even knowing. Most viruses aren't going to loudly announce themselves, so it's important to know the hidden ways in which your computer can become infected.
Infected Files from Other Computers
Whether you're borrowing someone's flash drive or grabbing a file from their computer, your computer can become infected if the file or device you're using already contains a virus, trojan, or other form of malware.
This is a very common issue, and you won't even know there's a problem most of the time. For example, if your computer is connected to other devices on a network, and you decide to pull an important file off of another computer on the network, your computer will become infected if the file you took has a virus attached to it.
Also, if you forgot your flash drive, and you need to use your friend or coworker's device for the day, then even plugging the device into your computer can cause the infection in the flash drive to be transmitted.
Downloading Legitimate Programs
Another way your computer can be secretly infected is when you download a legitimate program and run it. There are numerous legitimate programs on the internet that can help you in many ways. The programs themselves could be infected, though.
Also, one of the most common ways your computer can become infected is when you don't read the fine print before you download a program. Some of them may insist that you install another small program in addition to the one you initially chose. The boxes that you are supposed to click to give your consent may already be clicked.
This small extra program is the one that may carry an infection that will spread to your computer when you run the main program. You may get a lot of good use out of the legitimate program, but the virus attached to the extra hidden program can cause you a lot of trouble.
Using Vulnerable Applications
Security is a serious matter. If even one of the applications you use on your computer is vulnerable to becoming hacked or infected, then your entire computer is at risk and could become secretly infected. Anything from PDF viewing applications to your operating system can become infected if you don't download the latest security patches and keep everything up-to-date.
Not Using Antivirus Software
Antivirus software can protect your computer from a number of viruses, trojans, and other problems. Your computer can become infected in a number of ways, so you need to have good antivirus software to provide strong protection from hidden attacks.
Viruses, trojans, and other malware can infect your computer in a variety of hidden ways. To prevent infection and problems, you need to be careful about what you download, and you should keep your applications secure. Also, find reliable antivirus software to help.
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Java still has its place in the world of software development, but is it quickly becoming obsolete by the more dynamically enabled Python programming language? The issue is hotly contested by both sides of the debate. Java experts point out that Java is still being developed with more programmer friendly updates. Python users swear that Java can take up to ten times longer to develop. Managers that need to make the best decision for a company need concrete information so that an informed and rational decision can be made.
First, Java is a static typed language while Python is dynamically typed. Static typed languages require that each variable name must be tied to both a type and an object. Dynamically typed languages only require that a variable name only gets bound to an object. Immediately, this puts Python ahead of the game in terms of productivity since a static typed language requires several elements and can make errors in coding more likely.
Python uses a concise language while Java uses verbose language. Concise language, as the name suggests, gets straight to the point without extra words. Removing additional syntax can greatly reduce the amount of time required to program. A simple call in Java, such as the ever notorious "Hello, World" requires three several lines of coding while Python requires a single sentence. Java requires the use of checked exceptions. If the exceptions are not caught or thrown out then the code fails to compile. In terms of language, Python certainly has surpassed Java in terms of brevity.
Additionally, while Java's string handling capabilities have improved they haven't yet matched the sophistication of Python's. Web applications rely upon fast load times and extraneous code can increase user wait time. Python optimizes code in ways that Java doesn't, and this can make Python a more efficient language. However, Java does run faster than Python and this can be a significant advantage for programmers using Java. When you factor in the need for a compiler for Java applications the speed factor cancels itself out leaving Python and Java at an impasse.
While a programmer will continue to argue for the language that makes it easiest based on the programmer's current level of knowledge, new software compiled with Python takes less time and provides a simplified coding language that reduces the chance for errors. When things go right, Java works well and there are no problems. However, when errors get introduced into the code, it can become extremely time consuming to locate and correct those errors. Python generally uses less code to begin with and makes it easier and more efficient to work with.
Ultimately, both languages have their own strengths and weaknesses. For creating simple applications, Python provides a simpler and more effective application. Larger applications can benefit from Java and the verbosity of the code actually makes it more compatible with future versions. Python code has been known to break with new releases. Ultimately, Python works best as a type of connecting language to conduct quick and dirty work that would be too intensive when using Java alone. In this sense, Java is a low-level implementation language. While both languages are continuing to develop, it's unlikely that one language will surpass the other for all programming needs in the near future.
Big data is now in an incredibly important part of how many major businesses function. Data analysis, or the finding of facts from large volumes of data, helps businesses make many of their important decisions. Companies that conduct business on a national or international scale rely on big data in order to plot the general direction of their business. The concept of big data can be very confusing due to the sheer scale of information involved. By following a few simple guidelines, even the layman can understand big data and its impacts on everyday life.
What Exactly is Big Data?
Just about everyone can understand the concept of data. Data is information, and information is everywhere in the modern world. Anytime you use any piece of technology you are making use of data. Anytime you read a book, skim the newspaper or listen to music you are also making use of data. Your brain interprets and organizes data constantly from your senses and your thoughts.
Big data, much like its name infers, simply describes this same data on a large sale. The internet allowed the streaming, sharing and collecting of data on a scale never before imaginable and storage technology has allowed ever increasing hoards of data to be accumulated. In order for something to be considered “big data” it must be at least 10 terabytes or more of information. To put that in perspective, consider that 10 terabytes represents the entire printed collection of material in the Library of Congress. What’s even more remarkable is that many businesses work with far more than the minimum 10 terabytes of data. UPS stores over 16 petabytes of data about its packages and customers. That’s 16,000 terabytes or the equivalent to 1,600 printed libraries of congress. The sheer amount of that data is nearly impossible for a human to comprehend, and analysis of this data is only possible with computers.
How do Big Data Companies Emerge?
All of this information comes from everywhere on the internet. The majority of the useful data includes customer information, search engine logs, and entries on social media networks to name a few. This data is constantly generated by the internet at insane rates. Specified computers and software programs are created and operated by big data companies that collect and sort this information. These programs and hardware are so sophisticated and so specialized that entire companies can be dedicated to analyzing this data and then selling it to other companies. The raw data is distilled down into manageable reports that company executives can make use of when handling business decisions.
The Top Five:
These are the five biggest companies, according to Forbes, in the business of selling either raw data reports or analytics programs that help companies to compile their own reports.
1. Splunk
Splunk is currently valued at $186 million. It is essentially a program service that allows companies to turn their own raw data collections into usable information.
2. Opera Solutions
Opera Solutions is valued at $118 million. It serves as a data science service that helps other companies to manage the raw data that pertains to them. They can offer either direct consultation or cloud-based service.
3. Mu Sigma
Mu Sigma is valued at $114 million. It is a slightly smaller version of Opera Solutions, offering essentially the same types of services.
4. Palantir
Palantir is valued at $78 million. It offers data analysis software to companies so they can manage their own raw data analysis.
5. Cloudera
Cloudera is valued at $61 million. It offers services, software and training specifically related to the Apahce Hadoop-based programs.
The software and services provided by these companies impact nearly all major businesses, industries and products. They impact what business offer, where they offer them and how they advertise them to consumers. Every advertisement, new store opening or creation of a new product is at least somewhat related to big data analysis. It is the directional force of modern business.
Sources:
http://www.sas.com/en_us/insights/big-data/what-is-big-data.html
http://www.forbes.com/sites/gilpress/2013/02/22/top-ten-big-data-pure-plays/
http://www.whatsabyte.com/
Related:
Top Innovative Open Source Projects Making Waves in The Technology World
Is the U.S. the Leading Software Development Country?
How to Keep On Top Of the Latest Trends in Information Technology
Tech Life in Ohio
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
Nationwide Insurance Company | Columbus | Financial Services | Insurance and Risk Management |
Owens Corning | Toledo | Manufacturing | Concrete, Glass, and Building Materials |
FirstEnergy Corp | Akron | Energy and Utilities | Gas and Electric Utilities |
The Lubrizol Corporation | Wickliffe | Manufacturing | Chemicals and Petrochemicals |
Sherwin-Williams | Cleveland | Retail | Hardware and Building Material Dealers |
Key Bank | Cleveland | Financial Services | Banks |
TravelCenters of America, Inc. | Westlake | Retail | Gasoline Stations |
Dana Holding Company | Maumee | Manufacturing | Automobiles, Boats and Motor Vehicles |
O-I (Owens Illinois), Inc. | Perrysburg | Manufacturing | Concrete, Glass, and Building Materials |
Big Lots Stores, Inc. | Columbus | Retail | Department Stores |
Limited Brands, Inc. | Columbus | Retail | Clothing and Shoes Stores |
Cardinal Health | Dublin | Healthcare, Pharmaceuticals and Biotech | Healthcare, Pharmaceuticals, and Biotech Other |
Progressive Corporation | Cleveland | Financial Services | Insurance and Risk Management |
Parker Hannifin Corporation | Cleveland | Manufacturing | Manufacturing Other |
American Financial Group, Inc. | Cincinnati | Financial Services | Insurance and Risk Management |
American Electric Power Company, Inc | Columbus | Energy and Utilities | Gas and Electric Utilities |
Fifth Third Bancorp | Cincinnati | Financial Services | Banks |
Macy's, Inc. | Cincinnati | Retail | Department Stores |
Goodyear Tire and Rubber Co. | Akron | Manufacturing | Plastics and Rubber Manufacturing |
The Kroger Co. | Cincinnati | Retail | Grocery and Specialty Food Stores |
Omnicare, Inc. | Cincinnati | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
The Procter and Gamble Company | Cincinnati | Consumer Services | Personal Care |
training details locations, tags and why hsg
The Hartmann Software Group understands these issues and addresses them and others during any training engagement. Although no IT educational institution can guarantee career or application development success, HSG can get you closer to your goals at a far faster rate than self paced learning and, arguably, than the competition. Here are the reasons why we are so successful at teaching:
- Learn from the experts.
- We have provided software development and other IT related training to many major corporations in Ohio since 2002.
- Our educators have years of consulting and training experience; moreover, we require each trainer to have cross-discipline expertise i.e. be Java and .NET experts so that you get a broad understanding of how industry wide experts work and think.
- Discover tips and tricks about IBM programming
- Get your questions answered by easy to follow, organized IBM experts
- Get up to speed with vital IBM programming tools
- Save on travel expenses by learning right from your desk or home office. Enroll in an online instructor led class. Nearly all of our classes are offered in this way.
- Prepare to hit the ground running for a new job or a new position
- See the big picture and have the instructor fill in the gaps
- We teach with sophisticated learning tools and provide excellent supporting course material
- Books and course material are provided in advance
- Get a book of your choice from the HSG Store as a gift from us when you register for a class
- Gain a lot of practical skills in a short amount of time
- We teach what we know…software
- We care…