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ORACLE WORLD - Understanding Oracle Optimizer Statistics part-1st
 
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Hello friends in this video i'm just showing to you what is optimizer statistics into oracle,optimizer help to improve the performance of sql statements during execution period.Oracle database #ORACLEWORLD #OracleOptimizerStatistics Unbeatable,Unbreakable Platform..
Views: 7068 Oracle World
Tutorial 40 : INDEX in Oracle. Simple Index, Composite Index, Unique Index
 
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Hi Friends, Here we are learning about INDEX in Oracle. Simple Index, Composite Index and Unique Index is explained. Please let me know your feedback in comment box. Thanks! Happy Coding.
Views: 95 YourSmartCode
SQL Server Cardinality Estimation – Quick Notes – Part 1 by Amit Bansal
 
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In this video you will learn how the SQL Optimizer uses Density information to compute default cardinality estimations Twitter: http://www.twitter.com/SQLMaestros Twitter: http://www.twitter.com/A_Bansal http://www.SQLMaestros.com http://www.amitbansal.net
Views: 3078 SQLMaestros
Indexes Table Filter SQL Command window - English
 
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Indexes, Table Filter, SQL Command window
Calculate query performance with Explain Plan in Oracle PLSQL.
 
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Explain plan is a wonderful utility in Oracle PL SQL. It helps you to understand how much cost a query takes to perform based on indexed table or table without index. In this oracle tutorial a full description is given on a table containing huge number of rows first based on index on a column and then without index.
Views: 3790 Subhroneel Ganguly
WDM 46: How To build distributed indexes
 
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How To build distributed indexes For Full Course Experience Please Go To http://mentorsnet.org/course_preview?course_id=1 Full Course Experience Includes 1. Access to course videos and exercises 2. View & manage your progress/pace 3. In-class projects and code reviews 4. Personal guidance from your Mentors
Views: 3520 Oresoft LWC
How to calculate Standard Deviation and Variance
 
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Tutorial on calculating the standard deviation and variance for statistics class. The tutorial provides a step by step guide. Like us on: http://www.facebook.com/PartyMoreStudyLess Related Videos: How to Calculate Mean and Standard Deviation Using Excel http://www.youtube.com/watch?v=efdRmGqCYBk Why are degrees of freedom (n-1) used in Variance and Standard Deviation http://www.youtube.com/watch?v=92s7IVS6A34 Playlist of z scores http://www.youtube.com/course?list=EC6157D8E20C151497 David Longstreet Professor of the Universe Like us on: http://www.facebook.com/PartyMoreStudyLess Professor of the Universe: David Longstreet http://www.linkedin.com/in/davidlongstreet/ MyBookSucks.Com
Views: 1667540 statisticsfun
Oracle Tutorial - How to add virtual column in oracle 11g
 
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Hello friends in this video i'm going to demonstrate you how to add virtual column in ORACLE 11g step by step. Oracle 11g supports virtual columns which are derived from the other columns in the table. You can use the virtual columns in your queries, you can index them, you can collect the statistics, etc. There are few restrictions on the virtual columns. You cannot write/insert the data into virtual columns. There is no support for index_organized, external, object, cluster, temporary tables.
Views: 1412 OCP Technology
SQL index
 
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. Index 1) Why indexes? Indexes are used by queries to find data from tables quickly. Indexes are created on tables and views. Index on a table or a view, is very similar to an index that we find in a book. Clustered and Non-Clustered indexes Note that Id column is marked as primary key. Primary key, constraint create clustered indexes automatically if no clustered index already exists on the table and a nonclustered index is not specified when you create the PRIMARY KEY constraint. a clustered index dictates the physical storage order of the data in a table, a table can contain only one clustered index. A clustered index is analogous to a telephone directory Non Clustered Index: A nonclustered index is analogous to an index in a textbook. The data is stored in one place, the index in another place. Difference between Clustered and NonClustered Index: 1. Only one clustered index per table, where as you can have more than one non clustered index 2. Clustered index is faster than a non clustered index, because, the non-clustered index has to refer back to the table, if the selected column is not present in the index. 3. Clustered index determines the storage order of rows in the table, and hence doesn't require additional disk space, but where as a Non Clustered index is stored seperately from the table, additional storage space is required. Unique index is used to enforce uniqueness of key values in the index. Let's understand this with an example. Note: 1. By default, a PRIMARY KEY constraint, creates a unique clustered index, where as a UNIQUE constraint creates a unique nonclustered index. These defaults can be changed if you wish to. 2. A UNIQUE constraint or a UNIQUE index cannot be created on an existing table, if the table contains duplicate values in the key columns. Obviously, to solve this,remove the key columns from the index definition or delete or update the duplicate values. 3. By default, duplicate values are not allowed on key columns, when you have a unique index or constraint. For, example, if I try to insert 10 rows, out of which 5 rows contain duplicates, then all the 10 rows are rejected. However, if I want only the 5 duplicate rows to be rejected and accept the non-duplicate 5 rows, then I can use IGNORE_DUP_KEY option. An example of using IGNORE_DUP_KEY option is shown below.
Views: 13 R K
Indexing Fundamentals
 
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Database indexes can drastically improve the performance of queries. They can seem like magic if you don’t understand how they work. You may have heard the terms clustered, nonclustered, or heap and are not quite sure what those terms mean. In this session, you will learn what indexes are and why the right indexes make such a big difference.
SQL Server Calculating Cumulative Sums
 
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7. Calculating Cumulative Sums
Views: 2623 Eagle
How is SQL Server Statistics Histogram Computation Used by The Query Optimizer – Part 1 by Amit
 
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In this video, you will understand how is the histogram computation (SQL Server Statistics Data) used by the Query Optimizer for cardinality estimation. Particularly, you will see the usage of EQ_ROWS & AVG_RANGE_ROWS. Video resources including presentation, demo files, code snippets and more learning material is available on http://www.dataplatformgeeks.com/ (Join for free and access all the resources) Connect With The Speaker (Amit Bansal) -Follow on Twitter: https://twitter.com/A_Bansal -Follow on FaceBook at http://www.facebook.com/amit.r.bansal -Follow on LinkedIN: http://www.linkedin.com/in/amitbansal2010 -Facebook Page: https://www.facebook.com/AmitRSBansal/ Connect with SQLMaestros: http://sqlmaestros.com/ -http://www.twitter.com/SQLMaestros -https://www.facebook.com/SQLMaestros -Email us: [email protected] Have technical questions? Join the largest SQL group on FB www.facebook.com/groups/theSQLGeeks Our LinkedIn group https://www.linkedin.com/groups/6753546 DataPlatformGeeks (DPG) Community Join the fastest growing community of data & analytics professionals Why Join DPG? http://www.dataplatformgeeks.com/ -Attend all events hosted by DPG, including SQLMaestros Special Events -Get access to free videos, labs, magazines and host of learning resources -Download all events & conference material -Learn new skills. Sharpen existing skills -Be part of Asia’s Largest Data/Analytics Community -Opportunity to be a regional mentor & speaker at our events -Immense technical & professional development Do you know about Data Platform Summit? http://www.DPS10.com
Views: 643 SQLMaestros
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: 9882 Aaron Buma
Simplest way to create Tables on Oracle 12c
 
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--EMPLOYEE TABLE CREATE TABLE "EMP" ( "EMPNO" NUMBER(4,0), "ENAME" VARCHAR2(10 BYTE), "JOB" VARCHAR2(9 BYTE), "MGR" NUMBER(4,0), "HIREDATE" DATE, "SAL" NUMBER(7,2), "COMM" NUMBER(7,2), "DEPTNO" NUMBER(2,0) ) SEGMENT CREATION IMMEDIATE PCTFREE 10 PCTUSED 40 INITRANS 1 MAXTRANS 255 NOCOMPRESS LOGGING STORAGE(INITIAL 65536 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1 BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT) TABLESPACE "USERS" ; REM INSERTING into EMP SET DEFINE OFF; Insert into EMP (EMPNO,ENAME,JOB,MGR,HIREDATE,SAL,COMM,DEPTNO) values (5258,'ALEX','MANAGER',null,to_date('25-JAN-89','DD-MON-RR'),1500,500,null); Insert into EMP (EMPNO,ENAME,JOB,MGR,HIREDATE,SAL,COMM,DEPTNO) values (7875,'Aziz','MANAGER',7839,to_date('17-NOV-97','DD-MON-RR'),5000,1000,10); Insert into EMP (EMPNO,ENAME,JOB,MGR,HIREDATE,SAL,COMM,DEPTNO) values (7899,'HADI','PRESIDENT',null,to_date('09-MAY-99','DD-MON-RR'),9000,null,10); Insert into EMP (EMPNO,ENAME,JOB,MGR,HIREDATE,SAL,COMM,DEPTNO) values (3576,'ABDURAUF','MANAGER',null,null,null,null,null); Insert into EMP (EMPNO,ENAME,JOB,MGR,HIREDATE,SAL,COMM,DEPTNO) values (3131,'EBAD','CR',null,to_date('25-JAN-81','DD-MON-RR'),1500,500,null); Insert into EMP (EMPNO,ENAME,JOB,MGR,HIREDATE,SAL,COMM,DEPTNO) values (7955,'JOHNABRAHM','QWERT',null,to_date('18-JUN-20','DD-MON-RR'),2000,null,30); Insert into EMP (EMPNO,ENAME,JOB,MGR,HIREDATE,SAL,COMM,DEPTNO) values (5952,'JENN','MANAGER',null,to_date('25-JAN-81','DD-MON-RR'),1500,500,null); Insert into EMP (EMPNO,ENAME,JOB,MGR,HIREDATE,SAL,COMM,DEPTNO) values (7369,'SMITH','CLERK',7902,to_date('17-DEC-80','DD-MON-RR'),800,null,20); Insert into EMP (EMPNO,ENAME,JOB,MGR,HIREDATE,SAL,COMM,DEPTNO) values (7499,'ALLEN','SALESMAN',7698,to_date('20-FEB-81','DD-MON-RR'),1600,300,30); Insert into EMP (EMPNO,ENAME,JOB,MGR,HIREDATE,SAL,COMM,DEPTNO) values (7521,'WARD','SALESMAN',7698,to_date('22-FEB-81','DD-MON-RR'),1250,500,30); Insert into EMP (EMPNO,ENAME,JOB,MGR,HIREDATE,SAL,COMM,DEPTNO) values (7566,'JONES','MANAGER',7839,to_date('02-APR-81','DD-MON-RR'),2975,null,20); Insert into EMP (EMPNO,ENAME,JOB,MGR,HIREDATE,SAL,COMM,DEPTNO) values (7654,'MARTIN','SALESMAN',7698,to_date('28-SEP-81','DD-MON-RR'),1250,1400,30); Insert into EMP (EMPNO,ENAME,JOB,MGR,HIREDATE,SAL,COMM,DEPTNO) values (7698,'BLAKE','MANAGER',7839,to_date('01-MAY-81','DD-MON-RR'),2850,null,30); Insert into EMP (EMPNO,ENAME,JOB,MGR,HIREDATE,SAL,COMM,DEPTNO) values (7782,'CLARK','MANAGER',7839,to_date('09-JUN-81','DD-MON-RR'),2450,null,10); Insert into EMP (EMPNO,ENAME,JOB,MGR,HIREDATE,SAL,COMM,DEPTNO) values (7788,'','ANALYST',7566,to_date('19-APR-87','DD-MON-RR'),3000,null,20); Insert into EMP (EMPNO,ENAME,JOB,MGR,HIREDATE,SAL,COMM,DEPTNO) values (7839,'KING','PRESIDENT',null,to_date('17-NOV-81','DD-MON-RR'),5000,null,10); Insert into EMP (EMPNO,ENAME,JOB,MGR,HIREDATE,SAL,COMM,DEPTNO) values (7844,'TURNER','SALESMAN',7698,to_date('08-SEP-81','DD-MON-RR'),1500,0,30); Insert into EMP (EMPNO,ENAME,JOB,MGR,HIREDATE,SAL,COMM,DEPTNO) values (7876,'ADAMS','CLERK',7788,to_date('23-MAY-87','DD-MON-RR'),1100,null,20); Insert into EMP (EMPNO,ENAME,JOB,MGR,HIREDATE,SAL,COMM,DEPTNO) values (7900,'JAMES','CLERK',7698,to_date('03-DEC-81','DD-MON-RR'),950,null,30); Insert into EMP (EMPNO,ENAME,JOB,MGR,HIREDATE,SAL,COMM,DEPTNO) values (7902,'FORD','ANALYST',7566,to_date('03-DEC-81','DD-MON-RR'),3000,null,20); Insert into EMP (EMPNO,ENAME,JOB,MGR,HIREDATE,SAL,COMM,DEPTNO) values (7934,'MILLER','CLERK',7782,to_date('23-JAN-82','DD-MON-RR'),1300,null,10); Insert into EMP (EMPNO,ENAME,JOB,MGR,HIREDATE,SAL,COMM,DEPTNO) values (5230,'SCARLET','MANAGER',null,to_date('26-JAN-81','DD-MON-RR'),1600,600,null); CREATE UNIQUE INDEX "PK_EMP" ON "EMP" ("EMPNO") PCTFREE 10 INITRANS 2 MAXTRANS 255 COMPUTE STATISTICS STORAGE(INITIAL 65536 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1 BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT) TABLESPACE "USERS" ; ALTER TABLE "EMP" ADD CONSTRAINT "PK_EMP" PRIMARY KEY ("EMPNO") USING INDEX PCTFREE 10 INITRANS 2 MAXTRANS 255 COMPUTE STATISTICS STORAGE(INITIAL 65536 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1 BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT) TABLESPACE "USERS" ENABLE; ALTER TABLE "EMP" ADD CONSTRAINT "FK_DEPTNO" FOREIGN KEY ("DEPTNO") REFERENCES "DEPT" ("DEPTNO") ENABLE;
Views: 67 Fareed Ullah
Optimizing SQL Queries
 
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Task: Identify slow SQL queries and optimize them. Approach: Demonstrate using query plan, Index Analyzer, runtime stats, etc., to identify slow SQL queries. Then show how to make then faster using Tune Table, indices, %Parallel, SQL hints, and frozen plan, etc. Presenter: Harry Tong See additional resources: https://learning.intersystems.com/course/view.php?id=707 You can discuss all the details and ask any questions about this video on the dedicated post on Developer Community. Here it is: https://community.intersystems.com/post/new-video-optimizing-sql-queries
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: 8688 Charlie Berger
Partition functions and the index | Corrado De Concini | Лекториум
 
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Partition functions and the index | Лектор: Corrado De Concini | Организатор: Математическая лаборатория имени П.Л.Чебышева Смотрите это видео на Лекториуме: https://lektorium.tv/lecture/26253 Given a sequence X = (a1, . . . , am) of positive integers, the partition function PX(n) computes the number of solutions of the equation Xm j=1 xiai = n, xi ∈ Z ≥0 . More generally we can consider the vector case in which X consists of vectors in a lattice Λ (lying on the same side of some hyperplane). In relation to this problem, we will discuss how one is led to study some modules of functions on Λ which, among other thing, can be used to give a simple proof of the local quasi-polynomiality of PX. Following some joint work with Procesi and Vergne, if G is the torus having Λ as character group, M the linear representation of G, whose list of weights is X, these modules give the range of the index map for Gtransversally elliptic operators on M. Подписывайтесь на канал: https://www.lektorium.tv/ZJA Следите за новостями: https://vk.com/openlektorium https://www.facebook.com/openlektorium
Views: 396 Лекториум
Oracle DV - Ways to show Inter Quartile Range (IQR) in your projects
 
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This video shows several ways to calculate and represent Inter Quartile Range of a data population in Oracle DV : Using Reference lines, or Box Plot charts, or directly calculating in a formula leveraging By Clauses and Attribute function. The video is narrated, turn sound on.
Views: 345 Oracle Analytics
WDM 51: Issues With Multiple Indexes
 
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Issues With Multiple Indexes For Full Course Experience Please Go To http://mentorsnet.org/course_preview?course_id=1 Full Course Experience Includes 1. Access to course videos and exercises 2. View & manage your progress/pace 3. In-class projects and code reviews 4. Personal guidance from your Mentors
Views: 1532 Oresoft LWC
Index Function Tutorial
 
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Lean how to combine multiple Excel tools to create a powerful spreadsheet. In this video you'll learn how to use the Index function, the conditional formatting by using a formula and you will create 2 different Form controls and link them to some cells.
Views: 319 Officeinstructor
Oracle SQL MEDIAN Function Examples and Guide
 
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https://www.databasestar.com/median-mean-mode-in-oracle/ In this video, you’ll learn what the term “median” means, and how to generate an Oracle SQL median value. What is median? It’s the middle value in a list of values, after the values have been sorted in ascending order. It’s kind of like an average, but it’s different, as the average finds the total of the values divided by the number of values and will often not be one of the values in the list. Median will usually be the value in the list that is the middle point. So, how can you calculate the median in Oracle SQL? We use a function called MEDIAN. And in this video, I’ll show you how to use the function and see some examples. For more information on the MEDIAN function, including the SQL used in this video, read the related article here: https://www.databasestar.com/median-mean-mode-in-oracle/
Views: 294 Database Star
Oracle OOW 2013 - Jonathan Lewis ( 10 optimizer tips ) part
 
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Jonathan and Maria Colgan, presenting at OOW 2013
Views: 308 Helio Dias
B+ Tree Basics 1
 
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This lecture introduces B+ tress, and is a topic of a course in database design and database management systems
Views: 295118 Douglas Fisher
OHMPI Demo - Oracle Healthcare Master Person Index, Master Index Data Manager, Part 2
 
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Watch in full screen at high resolution! Software demonstration of Master Index Data Manager, the web based GUI for managing the MPI. Potential duplicate management, assumed match list, dashboards, reports. Part 2 of 4.
Views: 1310 HealthIT2
Let's Learn SQL! Lesson 70 : What is the Percent_Rank Over Statement?
 
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Explore SQL with Tom Coffing of Coffing Data Warehousing! In this lesson, learn about the Percent_Rank Over statement in Rank!
Oaktable World 2014 Jonathan Lewis on Calculating Selectivity
 
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Oaktable World 2014 Jonathan Lewis on Calculating Selectivity
Views: 1051 kyle Hailey
T SQL Level Up Chapter 3 CASE Expressions
 
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There are times in your T-SQL code when you need to return not a column, but rather a value that’s derived from a column or columns in your query. When that happens it’s time to use a CASE expression.
OTOMATİK İNDEX HAZIRLAMA PROGRAMI ||  EFSANE PROGRAM||
 
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Views: 810 Eren Er
Oracle Performance Monitoring in less than 12 minutes 20  part 1/2
 
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CAPTIONS AVAILABLE - Part 1 - The basics of Oracle Performance Monitoring, and how you can get fancy (and even useful) reports without spending a fortune.
Views: 11202 roughsealtd
T SQL Level Up Chapter 2 Number and Date Tables
 
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f we’re going to be great SQL Server developers, then we need to develop two qualities in ourselves, awesomeness and laziness. Being awesome means that we write code that executes quickly and efficiently. Being lazy means that we write as little code as possible to get the job done, and we write that, hopefully, only once.
Views: 1440 Brent Ozar Unlimited
21. Generalized Linear Models
 
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MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet In this lecture, Prof. Rigollet talked about linear model, generalization, and examples of disease occurring rate, prey capture rate, Kyphosis data, etc. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 25513 MIT OpenCourseWare
Let's Learn SQL! Lesson 98: The Combined and Horizontal Case Statement
 
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Explore SQL with Tom Coffing of Coffing Data Warehousing! In this lesson, learn some Advanced Case Statements such as the Combined Case Statement and the Horizontal Case Statement!
Visual SQL Tuning
 
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Views: 1735 kyle Hailey
What is SQL in Data Analytics - Data Science Jargon for Beginners
 
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In this episode of data analytics terms for beginners I am going to explain what SQL, or structured query language is in data analytics. ► Full Playlist Explaining Data Jargon ( https://www.youtube.com/playlist?list=PL_9qmWdi19yDhnzqVCAhA4ALqDoqjeUOr ) ► http://jobsinthefuture.com/index.php/2017/11/28/what-is-sql-data-science-jargon-for-beginners/ There are a lot of terms in the data science industry and I wanted to create this beginner series to help explain the large mass of data analytics terms. Previously we defined what a database was, and if you missed that article click here, then come back and read about SQL. It is important that you understand each one and their relation. What is SQL? Structured Query Langauge Structure: Database or an organized collection of items, specifically data for our situation. Query: The way in which you call an item or information out from a database or collection to be accessed. In the physical world I would say, "I queried my friend Jim about the steak sandwich he eat at the new restaurant in Bronx." I gathered information from him. Language: A specific dialect in which you can communicate (whether that be systems or people). In the computer science world: Python, Java Script, HTML5, etc... Once you breakdown SQL it is a very simple concept for a complex system. You are simply extracting data from a very large database. You are using that data to help companies formulate a plan of action for their business. SQL = Structure: Database full of data, Query: you call out the data, Language: using a computer science language. ------- SOCIAL Twitter ► @jobsinthefuture Facebook ►/jobsinthefuture Instagram ►@Jobsinthefuture WHERE I LEARN: (affiliate links) Lynda.com ► http://bit.ly/2rQB2u4 edX.org ► http://fxo.co/4y00 MY FAVORITE GEAR: (affiliate links) Camera ► http://amzn.to/2BWvE9o CamStand ► http://amzn.to/2BWsv9M Compute ► http://amzn.to/2zPeLvs Mouse ► http://amzn.to/2C0T9hq TubeBuddy ► https://www.tubebuddy.com/bengkaiser ► Download the Ultimate Guide Now! ( https://www.getdrip.com/forms/883303253/submissions/new ) Thanks for Supporting Our Channel! DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!
Views: 815 Ben G Kaiser
VTS: The Oracle Optimizer...Great complexity, but...
 
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Oracle Ace Liron Amitzi presents an entertaining session about appreciating the Oracle Optimizer; exploring the stability of plans and examining new features that ruin your system performance, just when you get it tuned just right.
Views: 597 Database Community
1Z0-531 - Oracle Test Essbase 11 Exam Essentials Questions
 
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For Oracle 1Z0-531 Test Questions and Answers Please Visit: https://www.PassEasily.com/1Z0-531.htm Exam Section 1 – Overview of Oracle Test Essbase Questions (Test Coverage 10%) Exam Section 2 – Smart View Questions (Test Coverage 5%) Exam Section 3 – Essbase Test Application Creation Fundamentals Questions (Test Coverage 20%) Exam Section 4 – Aggregate Storage Databases Questions (Test Coverage 5%) Exam Section 5 – Block Storage Databases Questions (Test Coverage 20%) Exam Section 6 – Working with Calculation Test Scripts Questions (Test Coverage 20%) Exam Section 7 – Essbase Administration Questions (Test Coverage 20%) Exam Section 8 – Essbase Studio Questions (Test Coverage 20%) (Exam Time): 105 minutes (Number of Test Questions): 69 (1Z0-531 Passing Score): 62% 1. Overview of Oracle Essbase • Describe multidimensional analysis • Describe Test Oracle Essbase 2. Smart View • Describe Test Smart View • Retrieve 1Z0-531 Data using Smart View 3. Essbase Application Creation Fundamentals • Perform manual outline creation • Build exam dimensions from sources • Perform initial data questions loads • Use test calculations and aggregations • Assign security 4. Aggregate Storage Databases • Describe when to deploy exam aggregate storage, block storage, or a combined solution • Convert block storage to aggregate test storage • Create, load, and pre-aggregate aggregate storage databases • Employ database partitioning in combined block/aggregate storage solutions • Write member formulas using 1Z0-531 MDX • Perform test management tasks for aggregate storage databases • Partition block and aggregate storage questions databases • Describe and implement aggregate storage design best practices • Describe multiple hierarchies and the use of Shared Members 5. Block Storage Databases • Describe block storage calculations • Describe the default database calculation order • Describe data blocks • Describe how data blocks exam are indexed • Interpret database statistics • Describe when data blocks are created • Describe the block storage database questions calculation process • Tune and optimize block storage databases • Describe and implement block storage design best practices • Describe 1Z0-531 BSO load techniques 6. Working with Calculation Scripts • Identify correct and incorrect exam calculation script syntax • Describe calculation script behavior questions for various ASO data structures • Describe calculation script behavior for various 1Z0-531 BSO data structures • Design calculation scripts to meet specified requirements 7. Essbase Administration • Describe the file Essbase.cfg and its settings. • Describe the file Essbase.sec and its settings. • Identify and interpret Essbase questions log files • Manage Essbase security via Administration Services • Manage Essbase security via Shared Services • Back up and recover exam Block Storage Databases • Automate database processes with 1Z0-531 MaxL • Describe and use substitution exam variables and location aliases
Views: 1182 Easily Test Oracle
ACL Tutorial: viewing your data with ACL Analytics
 
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In this tutorial, learn all about viewing your data in ACL Analytics. In ACL Analytics, you can customize your view to your exact liking without modifying your source data. This video is a part of the ACL Academy course ACL 100: ACL Analytics Basics. ACL Academy courses are available for everyone with an active ACL subscription. Find out more and enroll at https://goo.gl/R7DGvw. Hungry for more learning? Check out the ACL Community: https://goo.gl/HN8HCx Not an ACL client yet? Click here to watch a demo: https://goo.gl/KrkG5g or get in touch and we'll answer any questions you might have: https://goo.gl/ZcVxyN
Views: 2544 ACL
Welcome by Mogens Norgaard
 
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Topic: Welcome Speaker: Mogens Norgaard Videos thanks to Delphix! Thank you to our sponsors: Delphix, Pythian, and Gluent.
Views: 165 Oaktable
Excel Magic Trick 1121: Excel 2013 RRI Function: Calculate Compounding Rate/Geometric Mean
 
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Download Excel File: http://people.highline.edu/mgirvin/ExcelIsFun.htm See how to: 1. Calculate Compounding Rate/Geometric Mean with the new RRI function in Excel 2013
Views: 9084 ExcelIsFun
Creating New Composite Indexes Steps - Developing Scalable Apps with Java
 
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This video is part of an online course, Developing Scalable Apps with Java. Check out the course here: https://www.udacity.com/course/ud859.
Views: 239 Udacity
Choosing your storage and database on Google Cloud Platform
 
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Different applications and workloads require different storage solutions. Google Cloud Platform offers a full suite of storage and database solutions to meet your needs, from a hobbyist in a garage to a Fortune 500 company. This video will help you understand which solutions fit your scenarios, be they mobile applications, hosting commercial software, data pipelines, or storing backups. Cloud Storage: https://cloud.google.com/storage/docs/ Cloud SQL: https://cloud.google.com/sql/docs/ Datastore: https://cloud.google.com/datastore/docs/ Bigtable: https://cloud.google.com/bigtable/docs/ BigQuery: https://cloud.google.com/bigquery/docs/
Views: 60499 Google Cloud Platform
Christian Antognini - Cursor Sharing
 
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Presentation from OakTable World - http://dboptimizer.com/2012/11/08/oaktable-world-2012-all-presentations-and-4-vidoes-up/
Views: 1167 pioro1231
สอน SQL: หลักการเบื้องต้นของการใช้งาน Index
 
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ความสำคัญของการสร้าง index ให้กับคอลัมน์ในตาราง เพื่อให้สามารถสืบค้นข้อมูลได้รวดเร็วขึ้น ดูวิธีการติดตั้งฐานข้อมูล AdventureWorks2014 ได้ที่ http://youtu.be/q2HhiNn4YHc ============ playlist สอน Microsoft SQL Server 2012, 2014, 2016 https://www.youtube.com/watch?v=IQdjbBrm38s&list=PLoTScYm9O0GH8gYuxpp-jqu5Blc7KbQVn ============ playlist สอน SQLite https://www.youtube.com/watch?v=BL1ncKBW3jw&list=PLoTScYm9O0GHjYJA4pfG38M5BcrWKf5s2 ============ playlist การใช้ Excel ในการทำงานร่วมกับกับฐานข้อมูล (SQL Server, MySQL, Access) https://www.youtube.com/watch?v=HfKl6eOfNFo&list=PLoTScYm9O0GGA2sSqNRSXlw0OYuCfDwYk ============ playlist การเชื่อมต่อกับฐานข้อมูล (SQL Server, MySQL, SQLite) ด้วย Python https://www.youtube.com/watch?v=2n2SLFET-GU&list=PLoTScYm9O0GEdZtHwU3t9k3dBAlxYoq59 ============ เชิญสมัครเป็นสมาชิกของช่องนี้ได้ที่ https://www.youtube.com/subscription_center?add_user=prasertcbs
Views: 4617 prasertcbs