Microsoft SQL Server Training Classes in Tyler, Texas
Learn Microsoft SQL Server in Tyler, Texas 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 Microsoft SQL Server related training offerings in Tyler, Texas: Microsoft SQL Server Training
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Blog Entries publications that: entertain, make you think, offer insight
Studying a functional programming language is a good way to discover new approaches to problems and different ways of thinking. Although functional programming has much in common with logic and imperative programming, it uses unique abstractions and a different toolset for solving problems. Likewise, many current mainstream languages are beginning to pick up and integrate various techniques and features from functional programming.
Many authorities feel that Haskell is a great introductory language for learning functional programming. However, there are various other possibilities, including Scheme, F#, Scala, Clojure, Erlang and others.
Haskell is widely recognized as a beautiful, concise and high-performing programming language. It is statically typed and supports various cool features that augment language expressivity, including currying and pattern matching. In addition to monads, the language support a type-class system based on methods; this enables higher encapsulation and abstraction. Advanced Haskell will require learning about combinators, lambda calculus and category theory. Haskell allows programmers to create extremely elegant solutions.
Scheme is another good learning language -- it has an extensive history in academia and a vast body of instructional documents. Based on the oldest functional language -- Lisp -- Scheme is actually very small and elegant. Studying Scheme will allow the programmer to master iteration and recursion, lambda functions and first-class functions, closures, and bottom-up design.
Supported by Microsoft and growing in popularity, F# is a multi-paradigm, functional-first programming language that derives from ML and incorporates features from numerous languages, including OCaml, Scala, Haskell and Erlang. F# is described as a functional language that also supports object-oriented and imperative techniques. It is a .NET family member. F# allows the programmer to create succinct, type-safe, expressive and efficient solutions. It excels at parallel I/O and parallel CPU programming, data-oriented programming, and algorithmic development.
Scala is a general-purpose programming and scripting language that is both functional and object-oriented. It has strong static types and supports numerous functional language techniques such as pattern matching, lazy evaluation, currying, algebraic types, immutability and tail recursion. Scala -- from "scalable language" -- enables coders to write extremely concise source code. The code is compiled into Java bytecode and executes on the ubiquitous JVM (Java virtual machine).
Like Scala, Clojure also runs on the Java virtual machine. Because it is based on Lisp, it treats code like data and supports macros. Clojure's immutability features and time-progression constructs enable the creation of robust multithreaded programs.
Erlang is a highly concurrent language and runtime. Initially created by Ericsson to enable real-time, fault-tolerant, distributed applications, Erlang code can be altered without halting the system. The language has a functional subset with single assignment, dynamic typing, and eager evaluation. Erlang has powerful explicit support for concurrent processes.
Machine learning systems are equipped with artificial intelligence engines that provide these systems with the capability of learning by themselves without having to write programs to do so. They adjust and change programs as a result of being exposed to big data sets. The process of doing so is similar to the data mining concept where the data set is searched for patterns. The difference is in how those patterns are used. Data mining's purpose is to enhance human comprehension and understanding. Machine learning's algorithms purpose is to adjust some program's action without human supervision, learning from past searches and also continuously forward as it's exposed to new data.
The News Feed service in Facebook is an example, automatically personalizing a user's feed from his interaction with his or her friend's posts. The "machine" uses statistical and predictive analysis that identify interaction patterns (skipped, like, read, comment) and uses the results to adjust the News Feed output continuously without human intervention.
Impact on Existing and Emerging Markets
The NBA is using machine analytics created by a California-based startup to create predictive models that allow coaches to better discern a player's ability. Fed with many seasons of data, the machine can make predictions of a player's abilities. Players can have good days and bad days, get sick or lose motivation, but over time a good player will be good and a bad player can be spotted. By examining big data sets of individual performance over many seasons, the machine develops predictive models that feed into the coach’s decision-making process when faced with certain teams or particular situations.
General Electric, who has been around for 119 years is spending millions of dollars in artificial intelligence learning systems. Its many years of data from oil exploration and jet engine research is being fed to an IBM-developed system to reduce maintenance costs, optimize performance and anticipate breakdowns.
Over a dozen banks in Europe replaced their human-based statistical modeling processes with machines. The new engines create recommendations for low-profit customers such as retail clients, small and medium-sized companies. The lower-cost, faster results approach allows the bank to create micro-target models for forecasting service cancellations and loan defaults and then how to act under those potential situations. As a result of these new models and inputs into decision making some banks have experienced new product sales increases of 10 percent, lower capital expenses and increased collections by 20 percent.
Emerging markets and industries
By now we have seen how cell phones and emerging and developing economies go together. This relationship has generated big data sets that hold information about behaviors and mobility patterns. Machine learning examines and analyzes the data to extract information in usage patterns for these new and little understood emergent economies. Both private and public policymakers can use this information to assess technology-based programs proposed by public officials and technology companies can use it to focus on developing personalized services and investment decisions.
Machine learning service providers targeting emerging economies in this example focus on evaluating demographic and socio-economic indicators and its impact on the way people use mobile technologies. The socioeconomic status of an individual or a population can be used to understand its access and expectations on education, housing, health and vital utilities such as water and electricity. Predictive models can then be created around customer's purchasing power and marketing campaigns created to offer new products. Instead of relying exclusively on phone interviews, focus groups or other kinds of person-to-person interactions, auto-learning algorithms can also be applied to the huge amounts of data collected by other entities such as Google and Facebook.
A warning
Traditional industries trying to profit from emerging markets will see a slowdown unless they adapt to new competitive forces unleashed in part by new technologies such as artificial intelligence that offer unprecedented capabilities at a lower entry and support cost than before. But small high-tech based companies are introducing new flexible, adaptable business models more suitable to new high-risk markets. Digital platforms rely on algorithms to host at a low cost and with quality services thousands of small and mid-size enterprises in countries such as China, India, Central America and Asia. These collaborations based on new technologies and tools gives the emerging market enterprises the reach and resources needed to challenge traditional business model companies.
From Brennan's Blog which is no longer up and running:
I use Remote Desktop all the time to work inside of my development systems hosted by Microsoft Virtual Server. I use the host system to browse the web for documentation and searches as I work and when I need to copy some text from the web browser I find many times the link between the host clipboard and the remote clipboard is broken. In the past I have read that somehow the remote clipboard utility, rdpclip.exe, gets locked and no longer allows the clipboard to be relayed between the host and the client environment. My only way to deal with it was to use the internet clipboard, cl1p.net. I would create my own space and use it to send content between environments. But that is a cumbersome step if you are doing it frequently.
The only way I really knew to fix the clipboard transfer was to close my session and restart it. That meant closing the tools I was using like Visual Studio, Management Studio and the other ancillary processes I have running as I work and then restarting all of it just to restore the clipboard. But today I found a good link on the Terminal Services Blog explaining that what is really happening. The clipboard viewer chain is somehow becoming unresponsive on the local or remote system and events on the clipboards are not being relayed between systems. It is not necessarily a lock being put in place but some sort of failed data transmission. It then goes on to explain the 2 steps you can take to restore the clipboard without restarting your session.
- Use Task Manager to kill the rdpclip.exe process
- Run rdpclip.exe to restart it
The clipboard communications should be restored. My clipboard is currently working because I just restarted my session to fix it, but I wanted to test these steps. I killed rdpclip.exe and started it and was able to copy/paste from the remote to the host system. The next time my clipboard dies I will have to check to see if these steps truly do work.
Writing Python in Java syntax is possible with a semi-automatic tool. Programming code translation tools pick up about 75% of dynamically typed language. Conversion of Python to a statically typed language like Java requires some manual translation. The modern Java IDE can be used to infer local variable type definitions for each class attribute and local variable.
Translation of Syntax
Both Python and Java are OO imperative languages with sizable syntax constructs. Python is larger, and more competent for functional programming concepts. Using the source translator tool, parsing of the original Python source language will allow for construction of an Abstract Source Tree (AST), followed by conversion of the AST to Java.
Python will parse itself. This capability is exhibited in the ast module, which includes skeleton classes. The latter can be expanded to parse and source each node of an AST. Extension of the ast.NodeVisitor class enables python syntax constructs to be customized using translate.py and parser.py coding structure.
The Concrete Syntax Tree (CST) for Java is based on visit to the AST. Java string templates can be output at AST nodes with visitor.py code. Comment blocks are not retained by the Python ast Parser. Conversion of Python to multi-line string constructs with the translator reduces time to script.
Scripting Python Type Inference in Java
Programmers using Python source know that the language does not contain type information. The fact that Python is a dynamic type language means object type is determined at run time. Python is also not enforced at compile time, as the source is not specified. Runtime type information of an object can be determined by inspecting the __class__.__name__ attribute.
Python’s inspect module is used for constructing profilers and debugging.
Implementation of def traceit (frame, event, arg) method in Python, and connecting it to the interpreter with sys.settrace (traceit) allows for integration of multiple events during application runtime.
Method call events prompt inspect and indexing of runtime type. Inspection of all method arguments can be conducted. By running the application profiler and exercising the code, captured trace files for each source file can be modified with the translator. Generating method syntax can be done with the translator by search and addition of type information. Results in set or returned variables disseminate the dynamic code in static taxonomy.
The final step in the Python to Java scrip integration is to administer unsupported concepts such as value object creation. There is also the task of porting library client code, for reproduction in Java equivalents. Java API stubs can be created to account for Python APIs. Once converted to Java the final clean-up of the script is far easier.
Related:
What Are The 10 Most Famous Software Programs Written in Python?
Tech Life in Texas
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
Dr Pepper Snapple Group | Plano | Manufacturing | Nonalcoholic Beverages |
Western Refining, Inc. | El Paso | Energy and Utilities | Gasoline and Oil Refineries |
Frontier Oil Corporation | Dallas | Manufacturing | Chemicals and Petrochemicals |
ConocoPhillips | Houston | Energy and Utilities | Gasoline and Oil Refineries |
Dell Inc | Round Rock | Computers and Electronics | Computers, Parts and Repair |
Enbridge Energy Partners, L.P. | Houston | Transportation and Storage | Transportation & Storage Other |
GameStop Corp. | Grapevine | Retail | Retail Other |
Fluor Corporation | Irving | Business Services | Management Consulting |
Kimberly-Clark Corporation | Irving | Manufacturing | Paper and Paper Products |
Exxon Mobil Corporation | Irving | Energy and Utilities | Gasoline and Oil Refineries |
Plains All American Pipeline, L.P. | Houston | Energy and Utilities | Gasoline and Oil Refineries |
Cameron International Corporation | Houston | Energy and Utilities | Energy and Utilities Other |
Celanese Corporation | Irving | Manufacturing | Chemicals and Petrochemicals |
HollyFrontier Corporation | Dallas | Energy and Utilities | Gasoline and Oil Refineries |
Kinder Morgan, Inc. | Houston | Energy and Utilities | Gas and Electric Utilities |
Marathon Oil Corporation | Houston | Energy and Utilities | Gasoline and Oil Refineries |
United Services Automobile Association | San Antonio | Financial Services | Personal Financial Planning and Private Banking |
J. C. Penney Company, Inc. | Plano | Retail | Department Stores |
Energy Transfer Partners, L.P. | Dallas | Energy and Utilities | Energy and Utilities Other |
Atmos Energy Corporation | Dallas | Energy and Utilities | Alternative Energy Sources |
National Oilwell Varco Inc. | Houston | Manufacturing | Manufacturing Other |
Tesoro Corporation | San Antonio | Manufacturing | Chemicals and Petrochemicals |
Halliburton Company | Houston | Energy and Utilities | Energy and Utilities Other |
Flowserve Corporation | Irving | Manufacturing | Tools, Hardware and Light Machinery |
Commercial Metals Company | Irving | Manufacturing | Metals Manufacturing |
EOG Resources, Inc. | Houston | Energy and Utilities | Gasoline and Oil Refineries |
Whole Foods Market, Inc. | Austin | Retail | Grocery and Specialty Food Stores |
Waste Management, Inc. | Houston | Energy and Utilities | Waste Management and Recycling |
CenterPoint Energy, Inc. | Houston | Energy and Utilities | Gas and Electric Utilities |
Valero Energy Corporation | San Antonio | Manufacturing | Chemicals and Petrochemicals |
FMC Technologies, Inc. | Houston | Energy and Utilities | Alternative Energy Sources |
Calpine Corporation | Houston | Energy and Utilities | Gas and Electric Utilities |
Texas Instruments Incorporated | Dallas | Computers and Electronics | Semiconductor and Microchip Manufacturing |
SYSCO Corporation | Houston | Wholesale and Distribution | Grocery and Food Wholesalers |
BNSF Railway Company | Fort Worth | Transportation and Storage | Freight Hauling (Rail and Truck) |
Affiliated Computer Services, Incorporated (ACS), a Xerox Company | Dallas | Software and Internet | E-commerce and Internet Businesses |
Tenet Healthcare Corporation | Dallas | Healthcare, Pharmaceuticals and Biotech | Hospitals |
XTO Energy Inc. | Fort Worth | Energy and Utilities | Gasoline and Oil Refineries |
Group 1 Automotive | Houston | Retail | Automobile Dealers |
ATandT | Dallas | Telecommunications | Telephone Service Providers and Carriers |
Anadarko Petroleum Corporation | Spring | Energy and Utilities | Gasoline and Oil Refineries |
Apache Corporation | Houston | Energy and Utilities | Gasoline and Oil Refineries |
Dean Foods Company | Dallas | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
American Airlines | Fort Worth | Travel, Recreation and Leisure | Passenger Airlines |
Baker Hughes Incorporated | Houston | Energy and Utilities | Gasoline and Oil Refineries |
Continental Airlines, Inc. | Houston | Travel, Recreation and Leisure | Passenger Airlines |
RadioShack Corporation | Fort Worth | Computers and Electronics | Consumer Electronics, Parts and Repair |
KBR, Inc. | Houston | Government | International Bodies and Organizations |
Spectra Energy Partners, L.P. | Houston | Energy and Utilities | Gas and Electric Utilities |
Energy Future Holdings | Dallas | Energy and Utilities | Energy and Utilities Other |
Southwest Airlines Corporation | Dallas | Transportation and Storage | Air Couriers and Cargo Services |
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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 Texas 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 Microsoft SQL Server programming
- Get your questions answered by easy to follow, organized Microsoft SQL Server experts
- Get up to speed with vital Microsoft SQL Server 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
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