Blaze Advisor Training Classes in Folsom, California
Learn Blaze Advisor in Folsom, California and surrounding areas via our hands-on, expert led courses. All of our classes either are offered on an onsite, online or public instructor led basis. Here is a list of our current Blaze Advisor related training offerings in Folsom, California: Blaze Advisor Training
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- Introduction to C++ for Absolute Beginners
16 December, 2024 - 17 December, 2024 - Introduction to Spring 5 (2022)
16 December, 2024 - 18 December, 2024 - See our complete public course listing
Blog Entries publications that: entertain, make you think, offer insight
We’re often asked by companies about how they can get the most value from Agile/Scrum practices. More specifically, they want to know if they are being as effective as best they possibly can be by using the Scrum framework for their explicit needs.
The other objective for individuals is determining if it necessary to be certified in order to be effective in the Agile Scrum world? In short, a good Scrum Master must understand four things: the business they work in, the technology they work with, the Agile and Scrum principles, and, most importantly, people! Based on these facts, Scrum Master Certification is not enough – real life experience and a bit of soft skills should be part and parcel of their training. For organizations, the main goal is to understand industry best practices when adopting and applying agile principles, to build strong teams, understand and distill business needs into software requirements.
In terms of getting a good grip on training for Agile/Scrum, one can opt to pursue a certification in Scrum (CSM) Certified Scrum Master for personal reasons or for a job requirement. Or, one can simply opt to learn the benefits and pitfalls of the methodology and decide the best approach for them.
There are different ways to get started with Agile training. Below are two of the most common paths to Agile our students take.
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
I will begin our blog on Java Tutorial with an incredibly important aspect of java development: memory management. The importance of this topic should not be minimized as an application's performance and footprint size are at stake.
From the outset, the Java Virtual Machine (JVM) manages memory via a mechanism known as Garbage Collection (GC). The Garbage collector
- Manages the heap memory. All obects are stored on the heap; therefore, all objects are managed. The keyword, new, allocates the requisite memory to instantiate an object and places the newly allocated memory on the heap. This object is marked as live until it is no longer being reference.
- Deallocates or reclaims those objects that are no longer being referened.
- Traditionally, employs a Mark and Sweep algorithm. In the mark phase, the collector identifies which objects are still alive. The sweep phase identifies objects that are no longer alive.
- Deallocates the memory of objects that are not marked as live.
- Is automatically run by the JVM and not explicitely called by the Java developer. Unlike languages such as C++, the Java developer has no explict control over memory management.
- Does not manage the stack. Local primitive types and local object references are not managed by the GC.
So if the Java developer has no control over memory management, why even worry about the GC? It turns out that memory management is an integral part of an application's performance, all things being equal. The more memory that is required for the application to run, the greater the likelihood that computational efficiency suffers. To that end, the developer has to take into account the amount of memory being allocated when writing code. This translates into the amount of heap memory being consumed.
Memory is split into two types: stack and heap. Stack memory is memory set aside for a thread of execution e.g. a function. When a function is called, a block of memory is reserved for those variables local to the function, provided that they are either a type of Java primitive or an object reference. Upon runtime completion of the function call, the reserved memory block is now available for the next thread of execution. Heap memory, on the otherhand, is dynamically allocated. That is, there is no set pattern for allocating or deallocating this memory. Therefore, keeping track or managing this type of memory is a complicated process. In Java, such memory is allocated when instantiating an object:
String s = new String(); // new operator being employed String m = "A String"; /* object instantiated by the JVM and then being set to a value. The JVM calls the new operator */
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.
Tech Life in California
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
Mattel, Inc. | El Segundo | Retail | Sporting Goods, Hobby, Book, and Music Stores |
Spectrum Group International, Inc. | Irvine | Retail | Retail Other |
Chevron Corp | San Ramon | Energy and Utilities | Gasoline and Oil Refineries |
Jacobs Engineering Group, Inc. | Pasadena | Real Estate and Construction | Construction and Remodeling |
eBay Inc. | San Jose | Software and Internet | E-commerce and Internet Businesses |
Broadcom Corporation | Irvine | Computers and Electronics | Semiconductor and Microchip Manufacturing |
Franklin Templeton Investments | San Mateo | Financial Services | Investment Banking and Venture Capital |
Pacific Life Insurance Company | Newport Beach | Financial Services | Insurance and Risk Management |
Tutor Perini Corporation | Sylmar | Real Estate and Construction | Construction and Remodeling |
SYNNEX Corporation | Fremont | Software and Internet | Data Analytics, Management and Storage |
Core-Mark International Inc | South San Francisco | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
Occidental Petroleum Corporation | Los Angeles | Manufacturing | Chemicals and Petrochemicals |
Yahoo!, Inc. | Sunnyvale | Software and Internet | Software and Internet Other |
Edison International | Rosemead | Energy and Utilities | Gas and Electric Utilities |
Ingram Micro, Inc. | Santa Ana | Computers and Electronics | Consumer Electronics, Parts and Repair |
Safeway, Inc. | Pleasanton | Retail | Grocery and Specialty Food Stores |
Gilead Sciences, Inc. | San Mateo | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
AECOM Technology Corporation | Los Angeles | Real Estate and Construction | Architecture,Engineering and Design |
Reliance Steel and Aluminum | Los Angeles | Manufacturing | Metals Manufacturing |
Live Nation, Inc. | Beverly Hills | Media and Entertainment | Performing Arts |
Advanced Micro Devices, Inc. | Sunnyvale | Computers and Electronics | Semiconductor and Microchip Manufacturing |
Pacific Gas and Electric Corp | San Francisco | Energy and Utilities | Gas and Electric Utilities |
Electronic Arts Inc. | Redwood City | Software and Internet | Games and Gaming |
Oracle Corporation | Redwood City | Software and Internet | Software and Internet Other |
Symantec Corporation | Mountain View | Software and Internet | Data Analytics, Management and Storage |
Dole Food Company, Inc. | Thousand Oaks | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
CBRE Group, Inc. | Los Angeles | Real Estate and Construction | Real Estate Investment and Development |
First American Financial Corporation | Santa Ana | Financial Services | Financial Services Other |
The Gap, Inc. | San Francisco | Retail | Clothing and Shoes Stores |
Ross Stores, Inc. | Pleasanton | Retail | Clothing and Shoes Stores |
Qualcomm Incorporated | San Diego | Telecommunications | Wireless and Mobile |
Charles Schwab Corporation | San Francisco | Financial Services | Securities Agents and Brokers |
Sempra Energy | San Diego | Energy and Utilities | Gas and Electric Utilities |
Western Digital Corporation | Irvine | Computers and Electronics | Consumer Electronics, Parts and Repair |
Health Net, Inc. | Woodland Hills | Healthcare, Pharmaceuticals and Biotech | Healthcare, Pharmaceuticals, and Biotech Other |
Allergan, Inc. | Irvine | Healthcare, Pharmaceuticals and Biotech | Biotechnology |
The Walt Disney Company | Burbank | Media and Entertainment | Motion Picture and Recording Producers |
Hewlett-Packard Company | Palo Alto | Computers and Electronics | Consumer Electronics, Parts and Repair |
URS Corporation | San Francisco | Real Estate and Construction | Architecture,Engineering and Design |
Cisco Systems, Inc. | San Jose | Computers and Electronics | Networking Equipment and Systems |
Wells Fargo and Company | San Francisco | Financial Services | Banks |
Intel Corporation | Santa Clara | Computers and Electronics | Semiconductor and Microchip Manufacturing |
Applied Materials, Inc. | Santa Clara | Computers and Electronics | Semiconductor and Microchip Manufacturing |
Sanmina Corporation | San Jose | Computers and Electronics | Semiconductor and Microchip Manufacturing |
Agilent Technologies, Inc. | Santa Clara | Telecommunications | Telecommunications Equipment and Accessories |
Avery Dennison Corporation | Pasadena | Manufacturing | Paper and Paper Products |
The Clorox Company | Oakland | Manufacturing | Chemicals and Petrochemicals |
Apple Inc. | Cupertino | Computers and Electronics | Consumer Electronics, Parts and Repair |
Amgen Inc | Thousand Oaks | Healthcare, Pharmaceuticals and Biotech | Biotechnology |
McKesson Corporation | San Francisco | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
DIRECTV | El Segundo | Telecommunications | Cable Television Providers |
Visa, Inc. | San Mateo | Financial Services | Credit Cards and Related Services |
Google, Inc. | Mountain View | Software and Internet | E-commerce and Internet Businesses |
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 California 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 Blaze Advisor programming
- Get your questions answered by easy to follow, organized Blaze Advisor experts
- Get up to speed with vital Blaze Advisor 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…