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Analytical Functions in oracle explained with real examples
 
25:24
This video explains analytical functions and how they are implemented in real projects. Analytical functions are somewhat similar to aggregate functions,but they offer much more. Why use analytical function ? They allow you to write fast and concise queries which otherwise will involve self join and long processing times They allow you to perform aggregate functions independently on sets of partitions. You can access values from previous rows in current row and you can restrict the window on which you want to apply this analytical function. I have given additional practice exercises along with the dataset so that you can comfortably work with analytical functions. You can find the sample problems along with dataset in the below link. http://www.internshipsfromhome.com/oracle-analytical-functions-ddl-and-dml/
Views: 13972 Tech Coach
Oracle Tutorial || Oracle|Adv Sql | Analytical Functions Part-1 by basha
 
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DURGASOFT is INDIA's No.1 Software Training Center offers online training on various technologies like JAVA, .NET , ANDROID,HADOOP,TESTING TOOLS ,ADF,INFORMATICA,TABLEAU,IPHONE,OBIEE,ANJULAR JS, SAP... courses from Hyderabad & Bangalore -India with Real Time Experts. Mail us your requirements to [email protected] so that our Supporting Team will arrange Demo Sessions. Ph:Call +91-8885252627,+91-7207212428,+91-7207212427,+91-8096969696. http://durgasoft.com http://durgasoftonlinetraining.com https://www.facebook.com/durgasoftware http://durgajobs.com https://www.facebook.com/durgajobsinfo......
How to Code Oracle Analytic Functions
 
52:40
Many more free Oracle Database and SQL tutorials at http://skillbuilders.com/free-oracle-tutorials. SQL is a language that allows you to perform queries to answer a wide range of questions about your data. While standard SQL is quite powerful, there are many questions that it cannot answer at all or that it can only answer with complex and inefficient SQL workarounds. Questions about running totals, percent of total, and ranking within a group fall into this area. Also, more complex issues such as Top-N within a group and aggregates over a range also fall in this arena. These questions can be easily answered via a new class of SQL statements called Analytic Functions. This presentation will show you how to use Oracle's Analytic Function extensions to SQL to answer these questions simply and efficiently.
Views: 25894 SkillBuilders
SQL: Analytical Functions
 
09:20
In this tutorial, you'll learn how to use the analytical functions..
Views: 35546 radhikaravikumar
Oracle Partition By clause, Oracle Analytic Functions tutorial
 
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More about analytic functions, visit http://www.learn-with-video-tutorials.com Oracle Analytic Functions and Over By Partition clause enable calculating cumulative and moving aggregates returning multiple rows for each group.
What the PARTITION BY clause does in Analytic Functions Oracle SQL
 
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In this tutorial video we will learn how to use PARTITION BY clause in Analytic Functions Oracle SQL
Views: 1689 Spod ssppoodd
Analytical Functions | ORACLE/ SQL
 
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Analytical Functions are used in ORACLE/SQL ..... RANK,DENSE_RANK, LEAD,LAG,AND LISTTAG ARE ANALYTICAL FUNCTIONS
Views: 9056 Adam Tech
ORACLE Analytic Functions for Data Warehousing 3/ Arabic
 
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ORACLE Analytic Functions for Data Warehousing 3/ Arabic RANK() VS DENSE_RANK() select employee_id, first_name, salary from employees where DEPARTMENT_ID=30 order by salary desc; select employee_id, first_name, salary , rank() OVER ( ORDER BY salary desc) from employees where DEPARTMENT_ID=30 select employee_id, first_name, salary , rank() OVER ( ORDER BY salary desc) from employees select employee_id, first_name, salary , DENSE_rank() OVER ( ORDER BY salary desc) from employees select * from ( select employee_id, first_name, salary , DENSE_rank() OVER ( ORDER BY salary desc) from employees ) where first_name='Alberto' select employee_id, first_name, salary , department_id , DENSE_rank() OVER ( partition by department_id ORDER BY salary desc) from employees ---------------------- select employee_id, first_name, salary , DENSE_rank() OVER ( ORDER BY salary desc) from employees SELECT DENSE_RANK(9150) WITHIN GROUP (ORDER BY salary desc ) "Rank" FROM employees;
Views: 628 khaled alkhudari
ORACLE Analytic Functions for Data Warehousing 2/ Arabic
 
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ORACLE Analytic Functions for Data Warehousing 2/ Arabic FIRST_VALUE last_VALUE row_number() --FIRST_VALUE and LAST_VALUE Analytic Functions select EMPLOYEE_ID, FIRST_NAME, HIRE_DATE from employees order by hire_date; select EMPLOYEE_ID, FIRST_NAME, HIRE_DATE , min(HIRE_DATE) over ( ) first_HIRE_DATE from employees select EMPLOYEE_ID, FIRST_NAME, HIRE_DATE , FIRST_VALUE(HIRE_DATE) over ( ) first_HIRE_DATE from employees order by hire_date; select EMPLOYEE_ID, FIRST_NAME, HIRE_DATE , max(HIRE_DATE ) over ( ) last_HIRE_DATE from employees select EMPLOYEE_ID, FIRST_NAME, HIRE_DATE , last_VALUE(HIRE_DATE ) over ( ) last_HIRE_DATE from employees order by HIRE_DATE drop table student_exam_result; CREATE TABLE student_exam_result (student_id number, exame_name varchar2(100), exame_try number, exame_results number ); insert into student_exam_result values(1,'calcluas',1,50); insert into student_exam_result values(1,'calcluas',2,66); insert into student_exam_result values(1,'calcluas',3,20); insert into student_exam_result values(2,'calcluas',1,66); insert into student_exam_result values(2,'calcluas',2,null); insert into student_exam_result values(2,'calcluas',3,7); insert into student_exam_result values(3,'calcluas',1,50); insert into student_exam_result values(3,'calcluas',2,98); insert into student_exam_result values(3,'calcluas',3,null); select * from student_exam_result select student_id, exame_name,exame_try,exame_results, last_value(exame_results) IGNORE NULLS over (PARTITION BY student_id, exame_name ) last_grade from student_exam_result order by student_id, exame_name, exame_try select student_id, exame_name,exame_try,exame_results, last_value(exame_results) IGNORE NULLS over (PARTITION BY student_id, exame_name ) last_grade, max(exame_results) over (PARTITION BY student_id, exame_name ) max_grade, avg(exame_results) over (PARTITION BY student_id, exame_name ) avg_grade from student_exam_result order by student_id, exame_name, exame_try ------------------------ select employee_id,first_name ,row_number() over(order by employee_id ) from employees select employee_id,first_name ,rownum from employees select employee_id,first_name ,department_id, row_number() over(partition by department_id order by employee_id ) from employees
Views: 556 khaled alkhudari
Data analytics with PLSQL analytical functions part 1
 
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Data analysis is the most essential in today's business world. We need to know every details from customer's requirement to modern trends. What product we will bring to market, price of the product everything depends on data analysis. So in this tutorial I have tried to start with simple data analysis on attendance and salary of employees.
Views: 286 Subhroneel Ganguly
Functions – date_diff()
 
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This video reviews the date_diff() function available in Oracle Service Cloud Analytics. You will learn what the date_diff() function does and how to configure it for use in your reports. Also covered are subtle tips and tricks like the value formatting, nesting of the date_diff function in expressions and a couple of business use cases examples to help you think about how you might use this function in your business reporting.
Date_group() Function
 
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This video reviews the date_group() function available in Oracle Service Cloud Analytics. You will learn what how group data into aggregate reporting using the date_group() function. Also covered are subtle tips and tricks like the hard coded vs runtime variable formatting, required filter info and a couple of business use case examples to help you think about how you might use this function in your reporting.
Tuorial : Oracle Analytical Functions rank , denserank , top n query
 
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This video gives introduction on how oracle analytical functions like rank , dense rank work. How they should be used practically. How to perform Top N Query with Analytical Functions. Sofware used can be downloaded from : www.querylight.in
Views: 1284 Query Light
Oracle Partition By clause, Oracle Analytic Functions tutorial
 
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Oracle Analytic Functions and Over By Partition clause enable calculating cumulative and moving aggregates returning multiple rows for each group
SQL Query Training   70 461 TOP Ranking and Analytic functions
 
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Additional Training: http://amzn.to/1RjjJCf Other Trainings: www.AaronBuma.com/free-sql-server-training/ We cover features around the TOP(N) in your query, followed by using the RANK(), DENSE_RANK and ROW_NUMBER. Then on to Analytic Functions to help with your statistical analysis of data. Similar to aggregate functions, analytics functions compute over a group of rows with multiple results within each group. Learn how to properly use each of these analytics functions in combination with enhancements to the OVER clause. Learn the value of CUME_DIST and PERCENT_RANK in your analysis, use LAST_VALUE and FIRST_VALUE along with PERCENTILE_DISC, PERCENTILE_CONT, LEAD and LAG you can look at data in the next and previous row. For previous presentations and notifications of upcoming events, checkout my blog: www.AaronBuma.com or follow @AaronDBuma Slides and scripts are also available at: www.AaronBuma.com
Views: 9060 Aaron Buma
What Oracle SQL analytic functions are?
 
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In this training video we will learn how to usу analytic SQL functions in Oracle
Views: 52 Spod ssppoodd
Oracle Tutorial || Oracle|Adv Sql | Analytical Functions Part-2 by basha
 
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DURGASOFT is INDIA's No.1 Software Training Center offers online training on various technologies like JAVA, .NET , ANDROID,HADOOP,TESTING TOOLS ,ADF,INFORMATICA,TABLEAU,IPHONE,OBIEE,ANJULAR JS, SAP... courses from Hyderabad & Bangalore -India with Real Time Experts. Mail us your requirements to [email protected] so that our Supporting Team will arrange Demo Sessions. Ph:Call +91-8885252627,+91-7207212428,+91-7207212427,+91-8096969696. http://durgasoft.com http://durgasoftonlinetraining.com https://www.facebook.com/durgasoftware http://durgajobs.com https://www.facebook.com/durgajobsinfo......
Machine Learning with Oracle
 
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Introduction - 0:00 Overview Machine Learning in Oracle - 1:31 Machine Learning theory - 6:04 Demonstration: preparation and building the model - 11:52 Demonstration: run the prediction and adapt the application - 26:24 How to get started - 33:33 Without a doubt Machine Learning / Artificial Intelligence is an incredibly powerful technology with a huge potential. It brings benefits across many industries and business functions: From better targeting in the marketing/sales domain to predictive maintenance in manufacturing. This video-webinar is a kickstart to Machine Learning. You will learn the required theoretical knowledge and then we'll go through a real-life example: intelligent sales with ML. We'll create our very first ML model, and use it to make an existing application intelligent with sales recommendations. After this webinar you will have the basic ingredients to apply ML to your own business cases! Note that you don't require any previous knowledge of ML to be able to understand this session. Powerpoint and background material can be found here: https://ptdrv.linkedin.com/cmaj4xt
Views: 4738 Jeroen Kloosterman
Analytic Functions: Databases for Developers #13
 
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Analytic or windowing functions are one of the most powerful features of SQL. They allow you do to things like: - Add running totals - Generate row numbers - Calculate moving averages This video explains how to use them to analyze your data. Want to learn more? Take the course! https://devgym.oracle.com/pls/apex/dg/class/databases-for-developers-next-level.html Further reading: Analytic functions in the docs: https://docs.oracle.com/en/database/oracle/oracle-database/18/sqlrf/Analytic-Functions.html Analytic SQL video series: https://www.youtube.com/watch?v=0cjxYMxa1e4&list=PLJMaoEWvHwFIUwMrF4HLnRksF0H8DHGtt Need help with SQL? Ask us over on AskTOM: https://asktom.oracle.com Twitter: https://twitter.com/ChrisRSaxon Daily SQL Twitter tips: https://twitter.com/SQLDaily All Things SQL blog: https://blogs.oracle.com/sql/ ============================ The Magic of SQL with Chris Saxon Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 824 The Magic of SQL
FIRST_VALUE and LAST_VALUE Analytic Functions in Oracle Database
 
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FIRST_VALUE and LAST_VALUE in Oracle Database Oracle FIRST Function Oracle last Function
Views: 33 Adam Tech
KISS series on Analytics: 05 Dealing with null
 
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Welcome to the KISS video series. Solving problems that typically required complicated SQL in the past, that can now be easily solved with Analytic SQL syntax. In this session, we look at using our ranking functions when nulls are present. Scripts: https://livesql.oracle.com/apex/livesql/s/cokpdete3hiy3jo0yzoa4eerz Watch the entire Analytics playlist at https://www.youtube.com/playlist?list=PLJMaoEWvHwFJDyhMLCkNSSUQWw9waFkIj ========================================­­============== Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 1335 Connor McDonald
Oracle data mining tutorial, data mining techniques: classification
 
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What is data mining? The Oracle Data Miner tutorial presents data mining introduction. Learn data mining techniques. More lessons, visit http://www.learn-with-video-tutorials.com/oracle-data-mining-tutorial-video
SQL: Rank & Dense_rank functions
 
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In this tutorial, you'll learn the difference between rank() and dense_rank() functions..
Views: 26044 radhikaravikumar
Analytical Functions   ORACLE  SQL
 
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Analytical Functions ORACLE SQL
Views: 190 Zain Mohamed
Oracle SQL: Use Analytical Functions
 
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http://www.informit.com/store/oracle-sql-livelessons-video-training-downloadable-9780134275741?WT.mc_id=Social_YT Oracle SQL: Use Analytical Functions is an excerpt from Oracle SQL LiveLessons Video Training -- 6+ Hours of Video -- Oracle SQL LiveLessons Video Training covers the basics of the Oracle SQL programming language. This course covers both Oracle standard SQL and the ANSI approved SQL that Oracle supports. The focus of the course is to give students working knowledge of the Oracle SQL language and at the conclusion of this course, students should be able to query the Oracle database. Description In this LiveLessons video course, Oracle ACE Director Dan Hotka will teach you how to use the SQL query language, interpret business questions into SQL code, and how to use Where clauses sub-queries, complex table join conditions, and how to create table objects and populate tables with data. Students will also learn how to access Oracle from Microsoft products such as Excel. In addition, they will learn how analytical SQL can be used for business analysis. This course will use both Toad and SQL Developer for SQL examples. About the Instructor Dan Hotka is a training specialist and an Oracle ACE director who has more than 37 years in the computer industry and more than 31 years of experience with Oracle products. His experience with the Oracle RDBMS dates back to the Oracle V4.0 days. Dan enjoys sharing his knowledge of the Oracle RDBMS. Dan is well published with 12 Oracle books and well over 200 published articles. He is also the video author for Oracle SQL Performance Tuning for Developers LiveLessons and Oracle PL/SQL Programming Fundamentals. He is frequently published in Oracle trade journals, regularly blogs, and speaks at Oracle conferences and user groups around the world. Visit his website at www.DanHotka.com. Skill Level Beginner Learn How To Use the SQL query language Interpret business questions into SQL code Understand Oracle standard SQL and ANSI SQL Work with Where clauses, sub-queries, and complex table join conditions Create table objects and populate these tables with data Access Oracle from Microsoft products such as Excel Use analytical SQL, useful for business analysts Who Should Take This Course Students who are new to SQL and want to learn Oracle SQL Course Requirements Basic knowledge of what is a database, especially RDBMS and what is a computer programming language http://www.informit.com/store/oracle-sql-livelessons-video-training-downloadable-9780134275741?WT.mc_id=Social_YT
Views: 1181 LiveLessons
Oracle Pl/Sql Analytical Function Example
 
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Oracle Pl/Sql Analytical Function Example
Views: 981 Subhroneel Ganguly
Overview presentation and demonstration of Oracle Advanced Analytics Option
 
01:01:45
Overview presentation & demonstration of Oracle Advanced Analytics Option.
Views: 7852 Charles Berger
Oracle's Machine Learning & Advanced Analytics 12.2 & Oracle Data Miner 4.2 New Features
 
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Oracle's Machine Learning and Advanced Analytics 12.2 and Oracle Data Miner 4.2 New Features. This presentation highlights the new machine learning algorithms, features, functions and "differentiators" added to Oracle Database Release 12.2 and Oracle SQL Developer4.2. These features and functioned are "packaged" as part of the Oracle Advanced Analytics Database Option and Oracle Data Miner workflow UI on-premise and in the Oracle Database Cloud Service High and Extreme Editions. I hope you enjoy the video! Charlie Berger [email protected]
Views: 7670 Charlie Berger
Analytical functions in oracle part 2
 
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First_value , Last_value functions
Views: 54 DataSmith
Oracle Analytics Day by Day Demo
 
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This is a demonstration of Oracle Analytics Day by Day: a new mobile application that provides simple answers to daily business questions instantly. In this example, you are a regional sales director for electronics with offices in France. You have a lot of questions and need to share the answers with your colleagues, Matt and Reggie. For more information, check out the Day by Day page: https://www.oracle.com/solutions/business-analytics/day-by-day.html
Views: 11791 Oracle Analytics
Oracle Analytics Cloud (OAC) Demo
 
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Oracle Analytics Cloud (OAC) demonstration of features and functions
Views: 3269 Alithya Ranzal
How to Code Oracle FIRST LAST Aggregate Functions
 
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Learn Advanced Oracle SQL Aggregate functions FIRST and LAST. View all lessons in this tutorial at http://www.skillbuilders.com/advanced-aggregations-with-oracle-sql
Views: 762 SkillBuilders
SQL Analytic - Overview
 
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This podcast is the first in a series of podcasts that will look at the core concepts behind Oracle's in-database SQL Analytics and examine, in detail, some of the key features and functions. Copyright © 2013 Oracle and/or its affiliates. Oracle® is a registered trademark of Oracle and/or its affiliates. All rights reserved. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the "Materials"). The Materials are provided "as is" without any warranty of any kind, either express or implied, including without limitation warranties of merchantability, fitness for a particular purpose, and non-infringement.
Alex Nuijten - Analytic Functions: Unleash the SQL Power
 
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Analytic Functions have been around for quite a long time, and still they are a relatively unknown. If you are unfamiliar with these very powerful functions, you are missing out on something spectacular. Analytic Functions add inter-row calculations, aggregates over multiple dimensions, or rank assignment based on values within a group of values - all without a GROUP BY clause. The syntax might seem daunting at first, but it is really not that scary. This session will focus on the syntax with tons of real world uses for Analytic Functions.
Views: 865 Riga Dev Days
Lead and Lag functions in SQL Server 2012
 
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In this video we will discuss about Lead and Lag functions. Lead and Lag functions Introduced in SQL Server 2012 Lead function is used to access subsequent row data along with current row data Lag function is used to access previous row data along with current row data ORDER BY clause is required PARTITION BY clause is optional Syntax LEAD(Column_Name, Offset, Default_Value) OVER (ORDER BY Col1, Col2, ...) LAG(Column_Name, Offset, Default_Value) OVER (ORDER BY Col1, Col2, ...) Offset - Number of rows to lead or lag. Default_Value - The default value to return if the number of rows to lead or lag goes beyond first row or last row in a table or partition. If default value is not specified NULL is returned. We will use the following Employees table for the examples in this video SQL Script to create the Employees table Create Table Employees ( Id int primary key, Name nvarchar(50), Gender nvarchar(10), Salary int ) Go Insert Into Employees Values (1, 'Mark', 'Male', 1000) Insert Into Employees Values (2, 'John', 'Male', 2000) Insert Into Employees Values (3, 'Pam', 'Female', 3000) Insert Into Employees Values (4, 'Sara', 'Female', 4000) Insert Into Employees Values (5, 'Todd', 'Male', 5000) Insert Into Employees Values (6, 'Mary', 'Female', 6000) Insert Into Employees Values (7, 'Ben', 'Male', 7000) Insert Into Employees Values (8, 'Jodi', 'Female', 8000) Insert Into Employees Values (9, 'Tom', 'Male', 9000) Insert Into Employees Values (10, 'Ron', 'Male', 9500) Go Lead and Lag functions example WITHOUT partitions : This example Leads 2 rows and Lags 1 row from the current row. When you are on the first row, LEAD(Salary, 2, -1) allows you to move forward 2 rows and retrieve the salary from the 3rd row. When you are on the first row, LAG(Salary, 1, -1) allows us to move backward 1 row. Since there no rows beyond row 1, Lag function in this case returns the default value -1. When you are on the last row, LEAD(Salary, 2, -1) allows you to move forward 2 rows. Since there no rows beyond the last row 1, Lead function in this case returns the default value -1. When you are on the last row, LAG(Salary, 1, -1) allows us to move backward 1 row and retrieve the salary from the previous row. SELECT Name, Gender, Salary, LEAD(Salary, 2, -1) OVER (ORDER BY Salary) AS Lead_2, LAG(Salary, 1, -1) OVER (ORDER BY Salary) AS Lag_1 FROM Employees Lead and Lag functions example WITH partitions : Notice that in this example, Lead and Lag functions return default value if the number of rows to lead or lag goes beyond first row or last row in the partition. SELECT Name, Gender, Salary, LEAD(Salary, 2, -1) OVER (PARTITION By Gender ORDER BY Salary) AS Lead_2, LAG(Salary, 1, -1) OVER (PARTITION By Gender ORDER BY Salary) AS Lag_1 FROM Employees Text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/lead-and-lag-functions-in-sql-server.html Slides http://csharp-video-tutorials.blogspot.com/2015/10/lead-and-lag-functions-in-sql-server_5.html All SQL Server Text Articles http://csharp-video-tutorials.blogspot.com/p/free-sql-server-video-tutorials-for.html All SQL Server Slides http://csharp-video-tutorials.blogspot.com/p/sql-server.html All Dot Net and SQL Server Tutorials in English https://www.youtube.com/user/kudvenkat/playlists?view=1&sort=dd All Dot Net and SQL Server Tutorials in Arabic https://www.youtube.com/c/KudvenkatArabic/playlists
Views: 46872 kudvenkat
Analytics and Reporting with NetSuite
 
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This NetSuite video discusses the analytics and reporting capabilities of NetSuite's SuiteAnalytics and demonstrates specific tools that will help you extract and analyze data from a wide range of sources. The topics include: - Real-time transparency into company performance across all business functions - Drill down capabilities to easily slice and dice your data - Personalized and configurable dashboards and KPI charts - On-the-go access to all your company data via web browser and mobile devices - Self-serve reporting tools FMT Consultants is a leading NetSuite partner serving all of the US and Canada with a significant presence in Los Angeles County, Orange County and San Diego County. Learn more at http://www.fmtconsultants.com
Views: 36767 FMT Consultants
Oracle SQL Analytic Functions Tutorial
 
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Learn how to code Oracle Database SQL Analytic functions. Presented by Geoff Wiland of SkillBuilders.com/Oracle.
Views: 14198 SkillBuilders
KISS series on Analytics: 02 Options for ranking
 
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Welcome to the KISS video series. Solving problems that typically required complicated SQL in the past, that can now be easily solved with Analytic SQL syntax. In this session, we look at additional ranking functions The sample problem we'll solve is: How do handle ties when ranking values with analytics using DENSE_RANK and ROW_NUMBER Scripts here: https://livesql.oracle.com/apex/livesql/s/clebs8f5n4kr2b3vjvnvvgxkn Watch the entire Analytics playlist at https://www.youtube.com/playlist?list=PLJMaoEWvHwFJDyhMLCkNSSUQWw9waFkIj ========================================­­============== Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 2387 Connor McDonald
Get Started with Analyses and Dashboards in Oracle Analytics Cloud
 
02:23
Create an analysis and a dashboard, and then add the analysis to the dashboard in Oracle Analytics Cloud. ================================= To improve the video quality, click the gear icon and set the Quality to 1080p/720p HD. For more information, see http://www.oracle.com/goto/oll and http://docs.oracle.com Copyright © 2017 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
TechBytes - Teradata Analytic Functions Overview
 
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This TechBytes is a quick overview of the new advanced analytic functions now available natively in Teradata Database. Learn what they are, how they are used, and what are some of the use cases are. Find out how Teradata enables you performing powerful data analyses without writing complex algorithms yourself.
Views: 629 Teradata
What's Unique About Oracle Utilties Analytics
 
03:45
Oracle Utilities has a unique approach to analytics. Learn what it is.
Views: 294 Oracle Utilities
Oracle Analytics Cloud - A Comprehensive Overview
 
01:01:40
Presenter: Alan Lee, Oracle Corporation The new Oracle Analytics Cloud provides a comprehensive collection of analytic capabilities to address requirements from the line of business user to the workgroup to the enterprise. Analytics Cloud support use cases such as self-service data analysis, scenario-based analysis, data collaboration, and enterprise business intelligence. Learn how you can benefit from Oracle Analytics Cloud today and our plans for the future.
Views: 4885 ODTUG
IBM Netezza Basic Analytical Functions
 
50:54
This video talks about below analytical functions: 1)RANK 2) DENSE_RANK 3) ROW_NUMBER 4) LAG 5) LEAD and the difference between aggregate and analytical functions.
Views: 1351 Etraining Guru
#FutureOfData with @CharlieDataMine, @Oracle discussing running analytics in an enterprise
 
52:32
In this Podcast Charlie Berger from Oracle discussed some of the challenges of data driven enterprise. Podcast Link: iTunes: http://math.im/itunes GooglePlay: http://math.im/gplay Charlie's favorite read suggestions: 1. The Naked Future: What Happens in a World That Anticipates Your Every Move? Link: http://amzn.to/2xMNdJP 2. Big Data: A Revolution That Will Transform How We Live, Work, and Think Link: http://amzn.to/2xIoHcj Charlie's BIO: Passionate technical professional skilled in building entrepreneurial, start-up initiatives and environments. Strong technical, product management, communication, marketing and leadership skills. • Experienced product management professional with over 30 years of experience in leading edge technologies in large corporations and entrepreneurial start-ups. • During 15 years at Oracle Corporation, developed an innovative portfolio of “big data analytics” products developed as in-database SQL data mining functions and integrated "predictive analytics" applications. • Strong technical, product management, communication and leadership skills. • Responsible for product management and direction for the Oracle Database data mining and predictive analytics technology including Oracle Data Mining, text mining and statistical functions. • Strong product champion, evangelist and frequent speaker in the field of predictive analytics and data mining. • Leveraged relationships with customers, development and sales to communicate product capabilities and value proposition. About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to come on show and discuss their journey in creating the data driven future. Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/ Want to sponsor? Email us @ [email protected] Keywords: FutureOfData Data Analytics Leadership Podcast Big Data Strategy
Views: 747 AnalyticsWeek
Oracle Analytical Queries
 
00:09
Oracle Analytics
Views: 917 Ritesh Raj Singh
SQL Query Training - 70-461 TOP(), Ranking, and Analytic functions
 
01:26:16
We will start off with all the features around the TOP(N) in your query, followed by using the RANK(), DENSE_RANK and ROW_NUMBER. Then on to Analytic Functions to help with your statistical analysis of data. Similar to aggregate functions, analytics functions compute over a group of rows with multiple results within each group. Learn how to properly use each of these analytics functions in combination with enhancements to the OVER clause. Learn the value of CUME_DIST and PERCENT_RANK in your analysis, use LAST_VALUE and FIRST_VALUE along with PERCENTILE_DISC, PERCENTILE_CONT, LEAD and LAG you can look at data in the next and previous rows.
Views: 3665 Steve Stedman

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