SAS is a registered trademark of SAS Institute. Access, Visual
FoxPro, and SQL Server are registered trademarks of Microsoft
Corporation. Apache Hadoop is a project of the Apache Software
Foundation. z/OS and DB2 are registered trademarks of IBM
Corporation. Oracle database is a registered trademark of Oracle
Corporation. Sybase SQL is a registered trademark of Sybase, Inc. and
Over the past decade, there has been a huge increase in collected data by
organizational enterprise. The information has been generated both
from traditional sources such as computerized systems for tracking
operations, customers, and sales and new data sources such as web
site visits, social network chatter, and public records accessible
over the Internet in digital form. This data explosion is an
untapped asset at most organizations which lack the tools and skills
to exploit it. The challenge is to use data for fine-grained
analysis of markets, customer behavior and operations, and transform
business operations more toward evidence-based decision-making. This
market is a huge opportunity for software companies.
SAS Business Analytics
For the better part of 40 years, SAS Institute software has been
the leader in the business intelligence software. Historically, this
has been a niche market where SAS software is used to analyze huge
datasets and generate predictive statistical models for large
corporations and government agencies. According to leading market
research firms, over ninety percent of the largest companies 100
worldwide use SAS software. Developed in response to industry
specific operational requirements, SAS has a significant advantage
in its software technology, programming language, and tools. SAS has
always invested heavily in research and development. The SAS
stronghold is advanced analytics and predictive modeling software
which uses historical and current data to model and predict future
outcomes. However, SAS comparative advantage has been for the most
part derived from the legacy world of statisticians and programmers.
Developed in the 1970's for the mainframe platform, SAS EIP:
Enterprise Intelligence Platform is comprised of the business
intelligence and analytic/data mining toolset and data integration
stack analytics. There are also versions available on other
platforms: MS Windows and Linux-variants.
The challenge facing SAS is to transition and develop software
for deployment to be used by information technology and business
professionals in a global market. Towards that end, SAS has been
moving toward the Internet model of software delivery as a service
that customers access into over the web; some initial products have
Business intelligence software has become increasingly mainstream; there are now both free open source and commercial software alternatives to
SAS emerging in the market. Until recently SAS has been slow to recognize the challenge from free, open source alternatives to some of its products. The R programming language is a free programming
language and set of software tools for statistical computing; it has become increasingly popular at universities and labs. Programs written with R work integrate with SAS technology and there is a
long-term commitment from management at SAS to work with the open source community. Red Hat is working with SAS Institute to optimize performance and I/O throughput for SAS software and applications
running on the Red Hat Enterprise Linux-based operating system. The preliminary results have been excellent scalability in tests up to 64 cores on a single system.
In response to the growth and success of SAS software, new competition is emerging from major software companies to gain market share with lower prices and substitute technology. Oracle, SAP,
Microsoft, and especially, IBM have invested considerable resources in bringing competitive business intelligence software to market. Oracle bought Hyperion and SAP bought Business Objects. In the
summer of 2009, IBM bought SPSS, a maker of predictive modeling software, and prior to that purchased Cognos. IBM has placed SPSS and Cognos into a new business analytics and optimization group.
That business will be supported by 200 scientists, and the company has said it will retrain or hire 4,000 consultants and analysts to work in the group. IBM has stated that business intelligence
software is part of its strategy for growth.
The SAS platform software can be used to work with Hadoop. SAS combines analytics with Hadoopís ability to use commodity-based storage and perform distributed processing. Hadoop data can be accessed with the SAS language. SAS abstracts the complexity of Hadoop by making it function as a data source. Data stored in Hadoop can be consumed across the SAS software stack. SAS support
for Hadoop provides a framework to the information management life cycle with metadata, lineage, monitoring, federation and security capabilities. Data stored in Hadoop can be integrated with other
sources. There is SAS text mining and predictive analytics and business intelligence which can be applied to Hadoop data. There is a SAS Metadata Server which creates and manages metadata.
SAS/ACCESS makes Hive-based tables appear native to SAS. Development of analytics or data processes can be performed using SAS tools and run-time execution within either Hadoop or the SAS environment.
The advantages associated with SAS/ACCESS Interface to Hadoop includes:
Integrating data stored in Hadoop with data from other sources.
Directly accessing data with native interfaces.
LIBNAME statement makes Hive tables look like SAS datasets.
PROC SQL for performing explicit HiveQL commands into Hadoop.
Leverage Hadoop data for existing SAS capabilities.
Hadoop functionality can be executed by enabling MapReduce programming, scripting, and the execution of HDFS commands from within the SAS environment. This complements SAS/ACCESS and Hive and extends support for
Pig, MapReduce, and HDFS commands. By running a thin-layer SAS process on each Hadoop node, SAS commands have efficient throughput for large analytic workloads. Hadoop provides the distributing processing, memory
management, and job flow control.
Base SAS integration with Hadoop includes support for external file reference to Hadoop files and parameters for file processing and procedures: PROC FREQ, PROC MEANS, PROC RANK, PROC REPORT, PROC SORT, PROC SUMMARY, and PROC TABULATE.
SAS Information Management provides:
An interface to Hadoop which uses Pig, Hive,
MapReduce, and HDFS commands inline.
A visual editor and built-in syntax checker for Pig
and MapReduce code.
Submissions of Hive queries through PROC SQL, Base
SAS, and other SAS components.
The capability to create UDF: user-defined functions
for deployment within HDFS.
Apply data quality capabilities to Hadoop data.
Data Integration Studio transformations to Hadoop
data and building job flows.
SYS-ED SAS courses teach industry standard subject matter in interrelated
information technology required for efficient data management, data mining, and report generation such as:
Credit card companies for detecting unusual buying patterns in real time, and spotting potentially fraudulent charges.
Retail chains for tailoring pricing and product offerings down to the store level.
Telecommunications companies for identifying the few thousand customers, among millions, that are most likely to switch to another cellphone carrier.
Energy companies parsing sensor signals from oil rigs and combining that information with weather and structural data, to predict failure of parts.
Analysis SMF data to determine bottlenecks, I/O activity, CPU utilization, and contention issues.
SYS-ED's multi-platform SAS training teaches the Base SAS Procedures and the language enhancements.
Invoking RFC-Remote Function Call or RFC-compatible functions on an SAP System from a SAS program.
Creating, testing, and storing SAS functions and subroutines before using them in other SAS procedures.
Provides diagnostic information to the user about the Java environment that SAS is using.
Registering in batch mode, external functions that are written in the C or C++ programming languages.
Specifying a filename or fileref that will contain the output of the SAS Code Analyzer and write output to the file.
Reads XML input from a file that has a fileref and writes XML output to another file that has a fileref. The procedure PROC SOAP can run on any platform.
The HTTP procedure invokes a Web service that issues requests.
SYS-ED's system consultant instructors average 30 years experience in information technology. We provide insights required for effective maintenance coding and web-based utilization of SAS
analytics with a variety of databases - IBM DB2, MS SQL Server, Oracle database platform, and operating system environments: IBM mainframe, MS Windows, and Red Hat Linux.
Few independent training companies have been
providing SAS training longer or better than SYS-ED.
A telephone consultation with our Director of Education is required prior to SYS-ED's accepting a SAS training assignment. As part of this process we will review the subject matter in relation to the system software
installation standards and provide a training plan in writing. Client-specific sample data, examples, and exercises are used to address query and reporting requirements with SAS software in increasingly
commercial and open source operating environments.
How to code and utilize SAS procedures for data manipulation, information storage, information retrieval, statistical analysis, and report writing.
How to utilize the Java client, XML Mapper, for importing and exporting XML documents to the SAS platform.
How to use ODS: Output Delivery System for reporting, report formatting, and report delivery for:
1- Capturing data output from a Base procedure into a SAS dataset for additional processing or reporting.
2- Creating and separating datasets for a subgroup.
It is our prerogative to ensure that the employee
has the prerequisite background for the training. Not everyone is
allowed to enroll in a SYS-ED course.
Upon completion of a
instructor-led course at the client location, it is standard policy
to organize subject matter for future utilization in a web-based
SYS-ED's courseware library consists of student hand-outs, training aids, documented walkthroughs, and industry-specific exercises. The course workbooks and training aids included in SYS-ED SAS instructor-led and distance-learning training services are highly respected; they extends the source vendor documentation with an examination of program logic, diagrams, and sample programs.
The Computer Education Techniques knowledge base is a service for answering questions, inclusive of the research and validation of the accuracy of information in the public domain. Citation of source
documentation and examples are used to provide answers to the questions. Content is selectively added to SYS-ED course hand-outs and training aids.
SYS-ED's distance-learning training service is 65% lecture with the remaining 35% of the service provided in the form of hands-on
exercises, validation assessment, and scheduled interactive question and answer sessions.
Enrollment is contingent upon the prospective trainee's having been qualified by our Director of Education to have the appropriate background for the training and review of a checklist of items required for transmission of the service to the client location: bandwidth, firewall, base operating system, software requirements, and set-up of hands-on machine exercises.
SAS and software
companies have partnered to integrate mobile applications with
solution with SAS Enterprise Business Intelligence Server. This
allows SAS business intelligence data to be ported onto the
Apple iPhone and iPad.
SAS Visual Analytics provides high performance in-memory facilities to examine data for
identifying patterns and publishing reports to mobile devices and
the Internet. SAS software and development platform can be taught in conjunction with an industry standard training program. A program can be augmented with sample programs, case
studies, and subject matter from thecourse search engine.
The client makes the final determination on the content and program duration. At the client's discretion,
pre and post course assessment,
checklists of completed assignments, grading system, and a final examination can be utilized.
SAS Courses SYS-ED's SAS courses are tough, but they're worth it. Our challenging hands-on training draws upon our extensive library of sample programs and case studies to explain, demonstrate, and implement real-world applications. This
will provide the foundation and experience to design, develop, and update SAS applications. 1
SYS-ED courseware and training aids have been designed to compliment the class lecture and provide a framework for coding and debugging SAS programs. They also serve as a reference source after a course is over.
Teaching is Our Only Business Most computer training companies are divisions of large software or consulting companies. Not SYS-ED. Our only goal is to provide quality computer training for highly motivated business and information technology professionals
- no more and no less. Because we're independent, we're free to concentrate on teaching - and we do it very well.
Our Teachers Know How to Teach
SYS-ED instructors combine teaching skills with broad practical experience as consultants. And they know to teach. We teach not only "how to" but "why",
building a solid foundation in fundamentals and specialized SAS capabilities. After a course, our staff remains available to
Enrollment - SYS-ED SAS Courses are NOT for Everyone
No one is allowed to enroll in a SYS-ED SAS course, without a consultation with our Director of Education. We review the operational objectives and project specifications for the organization evaluating whether to send its employee for
the training. The employee is only allowed to register if they have the background corresponding to the appropriate learning path.
SAS Training - Distance-learning or at Your Office
SYS-ED SAS courses are provided over the Internet through a
distance-learning delivery medium or
classroom instruction on-site at the client location. Client location
courses can include the identical workshops, case studies, and hands-on approach as the distance-learning service offered through the
For additional information including outlines, availability of private courses, references, and course customization, contact David Shapiro at 212-724-2094 or
SYS-ED's technology exchange websites compile,
organize, and present software specific and established operational
categorizations of information technology. They provide a framework for
assessing knowledge transfer: web-based training, classroom instruction,
courseware, learning paths, and validation assessment.