SQR (Hyperion SQR Production Reporting, Part of OBIEE) is a programming language designed for generating reports from database management systems. The name is an acronym of Structured Query Reporter, which suggests its relationship to SQL (Structured Query Language). Any SQL statement can be embedded in an SQR program. History SQR, in the early 80's was given out as a 'free' add-on to Gupta's SQLBase. At the time (1985?), SQLBase was the only relational database that could be run on PCs (x86) machines. SQR was written by a programmer, Israel Stern, in Cleveland, probably around 1984 or 1985. SQ Software created SQR in the mid 1980s. It had a marketing agreement with D & N Systems, which changed its name to SQL Solutions and was later acquired by Sybase Inc. Sybase purchased SQ Software in the early 1990s. To avoid competing directly with Oracle Corporation, Sybase had a marketing and development agreement with MITI for the Oracle database versions of SQR. MITI acquired the full rights to SQR in the mid 1990s. MITI changed its name to SQRiBE Technologies in 1997. Brio Technology acquired SQRiBE in August, 1999. Brio Technology later changed its name to Brio Software. Brio licensed the compiler source code to PeopleSoft Inc. sometime around 2000. Hyperion Solutions Corporation acquired Brio Software in October, 2003. Oracle Corporation acquired PeopleSoft in December, 2004. In March 2007, Oracle Corporation acquired Hyperion Solutions. SQR-Related Products ORACLE: Hyperion SQR Production Reporting - System 9 (Release 9.3.1, 2008); ORACLE: Hyperion SQR Production Reporting - System 11 (Release 11.1.2, 2010); ORACLE: PeopleSoft Enterprise Tools & Technology (PeopleTools, Release 8.52, 2011) General Components SQR Server SQR Viewer SQR Print SQR Execute SQR Workbench for Windows; SQR Developer Features SQR is notable for its powerful database and printing functions. It can embed any SQL statement almost anywhere in a program. There is a version of SQR that can use multidimensional databases like Essbase.
Business Analytics Training & Certification Courses in Kolkata and Noida, India Data Brio Academy offers business analytics certification Course & training in collaboration with Webel, Data Brio Academy delivers training by industry experts in the areas of Business Analytics, Clinical Research Analytics, Financial Analytics, Marketing Analytics etc. on tools like SAS, SPSS, R, MS Excel, Tableau, PowerBI etc. The course content is developed by analytics experts from around the globe. It is updated continuously to reflect the latest requirements of technology and business. Certification options from: Data Brio Academy Centre of Excellence, Dept. of IT, Govt. of West Bengal (CEIAT) The course introduces participants to fundamental concepts of statistics, and guides them all the way to building predictive models using simple, multiple and logistic regression, time-series forecasting, optimization etc. All the topics are explained with the help of hands-on practice with case studies and real-time data, enabling a deeper understanding of the underlying concepts of analytics. Business Analytics Course – Outline Core Analytics (Module I) Analytics Fundamentals Introduction to Analytics, Data Types, Levels of Measurement Descriptive Statistics (Measures of Central Tendency & Dispersion); Diagrammatic Representation – charts & graphs Population, Sampling and Sample Size Elementary Probability, Expectation, Variance, Correlation, and Statistical Distributions Point Estimation, Interval Estimation Inferential Statistics Hypothesis Testing, Type I & Type II Error, P-Value Inferential Statistics: Normality Test, 1-Sample and 2-Sample T-tests, HOV, 1-Way ANOVA, Moods Median Test, Chi-square test, DOE 7 assignments with data sets Modelling Linear & Logistic Regression – Case studies Multivariate Multivariate Analysis – Factor & Cluster Analysis Data Pre-processing Outliers & Extreme Value Analysis (+ Case study) Missing Value Analysis (+ Case study) Other Topics Business Forecasting – Time Series (+ Case study) Optimization Techniques (+ Case study) SAS (Module II) Data structure SAS interface, library structure and definition Types of variables, Importing/exporting datasets, Variable attributes and data modification Data Management &
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