Best Oracle and Hadoop Institute: orienit is the best Oracle Institute in Hyderabad.Providing oracle courses and Hadoop courses by realtime faculty in hyderabad.
The document discusses different types of joins in SQL including inner joins, outer joins, equi joins, and self joins. Inner joins return rows that match between tables, outer joins return all rows including non-matches, and equi joins join tables on equality of columns. Examples are provided to demonstrate left, right, full, and self outer joins as well as equi joins on the same table.
We at www.it-corporate-training.com offer advanced excel courses in Mumbai
For course details visit:
http://www.it-corporate-training.com/it_corporate_training_advance_excel.html
Hash Table is a data structure that stores data in an associative manner using an array format. Each data value has a unique index value. A hash function is used to compute an index, called a hash code, into an array of buckets from which the desired value can be retrieved. During lookup, the key is hashed and the resulting hash indicates where the corresponding value is stored. Collisions, where two keys hash to the same index, are handled using techniques like chaining or probing.
The document discusses different hashing techniques including linear probing, quadratic probing, and linked list chaining. It provides animations demonstrating how each technique handles collisions when storing data in an array. The document also discusses some common applications of hashing like symbol tables in compilers and spell checkers, as well as when hashing is most suitable compared to other data structures.
JOINS are used to combine data across tables by matching rows. There are 5 types of joins: equi, non-equi, outer, self, and inner. Outer joins return all rows from the first table and matched rows from the second table, returning null values for non-matches. The 3 types of outer joins are left (returns all rows from left table), right (returns all rows from right table), and full (returns all rows from both tables).
This document provides information about spreadsheet software and key concepts in Microsoft Excel. It defines common spreadsheet terms like rows, columns, cells, cell references, and formulas. It also explains commonly used functions in Excel like SUM, AVERAGE, IF, and financial functions. The document includes examples of formulas to calculate averages, find highest/lowest grades, sum ranges, extract parts of names, and concatenate text.
This document provides an overview of functions in Excel, including common functions such as SUM, PRODUCT, QUOTIENT, AVERAGE, MAX, and MIN. It explains that functions can perform calculations on numbers, cells, or ranges of cells and uses examples to demonstrate how to write functions using numbers, individual cells, or ranges. Functions provide shortcuts for common calculations compared to writing out formulas.
Functions in Excel are pre-defined formulas that come with Excel and differ from regular formulas by not requiring arithmetic operators after the equal sign. Functions perform calculations using specific values called arguments in a defined order or syntax. The Function Wizard can be used to access all available functions in Excel and functions provide a more efficient way to perform calculations than manually typing formulas.
The document discusses different types of joins in SQL including inner joins, outer joins, equi joins, and self joins. Inner joins return rows that match between tables, outer joins return all rows including non-matches, and equi joins join tables on equality of columns. Examples are provided to demonstrate left, right, full, and self outer joins as well as equi joins on the same table.
We at www.it-corporate-training.com offer advanced excel courses in Mumbai
For course details visit:
http://www.it-corporate-training.com/it_corporate_training_advance_excel.html
Hash Table is a data structure that stores data in an associative manner using an array format. Each data value has a unique index value. A hash function is used to compute an index, called a hash code, into an array of buckets from which the desired value can be retrieved. During lookup, the key is hashed and the resulting hash indicates where the corresponding value is stored. Collisions, where two keys hash to the same index, are handled using techniques like chaining or probing.
The document discusses different hashing techniques including linear probing, quadratic probing, and linked list chaining. It provides animations demonstrating how each technique handles collisions when storing data in an array. The document also discusses some common applications of hashing like symbol tables in compilers and spell checkers, as well as when hashing is most suitable compared to other data structures.
JOINS are used to combine data across tables by matching rows. There are 5 types of joins: equi, non-equi, outer, self, and inner. Outer joins return all rows from the first table and matched rows from the second table, returning null values for non-matches. The 3 types of outer joins are left (returns all rows from left table), right (returns all rows from right table), and full (returns all rows from both tables).
This document provides information about spreadsheet software and key concepts in Microsoft Excel. It defines common spreadsheet terms like rows, columns, cells, cell references, and formulas. It also explains commonly used functions in Excel like SUM, AVERAGE, IF, and financial functions. The document includes examples of formulas to calculate averages, find highest/lowest grades, sum ranges, extract parts of names, and concatenate text.
This document provides an overview of functions in Excel, including common functions such as SUM, PRODUCT, QUOTIENT, AVERAGE, MAX, and MIN. It explains that functions can perform calculations on numbers, cells, or ranges of cells and uses examples to demonstrate how to write functions using numbers, individual cells, or ranges. Functions provide shortcuts for common calculations compared to writing out formulas.
Functions in Excel are pre-defined formulas that come with Excel and differ from regular formulas by not requiring arithmetic operators after the equal sign. Functions perform calculations using specific values called arguments in a defined order or syntax. The Function Wizard can be used to access all available functions in Excel and functions provide a more efficient way to perform calculations than manually typing formulas.
This document discusses various types of joins in SQL including equi joins, outer joins, cartesian joins, and self joins. It also covers set operators like UNION, INTERSECT, and MINUS that combine results from multiple queries. Subqueries are discussed as an alternative way to retrieve data from multiple tables using a query nested within another query.
This document provides an overview of common Excel formulas taught by Mrs. Asih including AVERAGE, MAX, MIN, COUNT, and COUNTA. It explains that Excel formulas begin with an equal sign (=) and can include functions, references to cells, constants, and basic operators. Examples are provided for each formula type. The AVERAGE formula returns the average arithmetic value of a range, MAX finds the highest value in a range, MIN finds the lowest value, COUNT calculates the number of numeric values in a range, and COUNTA counts all non-empty cells.
How to use Hlookup find an exact match Excel Advise
In this presentation we are telling you guys that In Microsoft Excel How to use Hlookup find an exact match.
The H in HLOOKUP stands for horizontal.
Hlookup Function is used to search a value in another Table and if found return the corresponding value of that table for the specified row.
You can lookup value in one of the two following ways:
Range Lookup
Range lookup is used when you want to search for ranges, it will look for nearest minimum value from the first row of the table.
Exact Lookup
We use this kind of lookups when we need to seek exact value.
Lookup value is the value to be found in the first row of the table. It can be a number, text or cell address..
Table array is a range where you want to find your lookup value.
Row num is the row number in table array from which the matching value will be returned
Range lookup is a logical value that specifies whether you want HLOOKUP to find an exact match or an approximate match.
if range lookup is true then it will return you exact match or an approximate matching value. And if range lookup is false it will give you exact match.
This document provides an introduction to fundamental spreadsheet skills. It discusses what spreadsheets are, how they are made up of cells organized in rows and columns, and how cells can contain text, numbers, or formulas. It describes common formatting options and how formulas use mathematical and relational operators to perform calculations by referring to cell ranges. Functions like SUM, AVERAGE, MAX and MIN are introduced which make calculations easier. The document also covers filling formulas across cells and using absolute cell references.
10 Excel Formulas that will help you in any JobHitesh Biyani
These are some basic and moderate excel formulas but are widely used in a corporate world be it any industry. A must read for freshers looking to seek a job with profiles in Banking, Insurance, BPO / KPO (Data support), etc
Use of Excel Spreadsheets in Computing GradesElli May Cañas
This document discusses using Excel to compute grades. It explains how Excel formulas can be used to automatically calculate totals, averages, dropped scores, and weighted averages. Common functions like SUM, AVERAGE, MIN, and COUNT are described. Conditional logic and lookup functions like IF, AND, OR, ISBLANK, and VLOOKUP allow Excel to perform different calculations based on cell values. The document provides examples of formulas to calculate class averages that drop scores, apply weighting, and perform letter grade conversions using lookup tables.
The document discusses the VLOOKUP function in Excel. VLOOKUP is used to find a value in a table and return a value from the same row based on the column index number. It has four required parameters: the lookup value, the table array, the column index number to return, and an optional range lookup parameter to specify an exact or approximate match. The document provides examples of using VLOOKUP to look up employee hourly rates from a table based on their names and explains how the range lookup parameter impacts whether it returns exact or approximate matches.
The document is a presentation about lookup functions in Microsoft Excel. It introduces LOOKUP, VLOOKUP, and HLOOKUP functions. It provides examples of how to use each function to lookup values in tables and return results. It also shares some fun facts about Excel's history and capabilities.
The document discusses how to use basic arithmetic operators like addition, subtraction, multiplication, and division to create formulas in Excel. It explains that cells are identified by their column letter and row number intersection, and that formulas use cell references and arithmetic operators to perform calculations on the data in those cells. As an example, it shows how to use the SUM function to add the values in a range of cells by writing the formula =SUM(B4:B7) to total the numbers in cells B4 through B7.
The document discusses the INDEX and MATCH functions in Excel. It explains that INDEX returns the value at the intersection of a row and column, and can take the output of MATCH as an argument for the row number. MATCH finds the row number that matches a lookup value within a lookup array. Nested together, INDEX and MATCH allow you to perform a vlookup-type lookup on data to return the value at the matched row and column number.
The document provides samples of complex Excel formulas, macros, and functions for tasks like data mining, data conversion, tracking metrics, daily booking, summarizing data, splitting data into individual sheets, and calculating summarized survey data. It also includes examples of using checkboxes, SUMPRODUCT formula, date calculations, and INDEX-MATCH functions to build robust and functional spreadsheets.
joins and subqueries in big data analysisSanSan149
This document discusses joins and subqueries in SQL for big data analysis. It defines different types of SQL joins such as inner, left, right, and full outer joins. It explains that joins combine rows from two or more tables based on related columns. It also defines subqueries as queries nested within other SQL statements, most commonly in the WHERE clause, and notes they must be enclosed in parentheses and placed on the right side of a comparison operator.
The document provides an overview of various Excel functions organized into categories including:
1. Mathematical functions such as ROUND, MOD, INTEGER, GCD, and LOG functions.
2. Statistical functions such as COUNT, AVERAGE, MAX, MEDIAN, and financial functions such as NPV, PV, PMT.
3. Lookup functions including VLOOKUP, HLOOKUP, MATCH to find data in tables or perform lookups.
4. Date and time functions like DATE, TIME, TODAY, NOW and DATEDIF to work with dates and times.
5. Text functions including LEFT, RIGHT, MID, UPPER, LOWER, LEN to manipulate
The document provides examples and explanations of the SUMIF formula in Excel. The SUMIF formula sums values from a range that meet criteria specified in another range. For example, it shows how to use SUMIF to sum the number of Excel students registered on all dates in a table by specifying the criteria as "*excel*" to match cells containing "Excel" anywhere in the text. It also demonstrates using SUMIF to match criteria at the start or end of cells by using "excel*" and "*excel" respectively.
Types Of Join In Sql Server - Join With Example In Sql Serverprogrammings guru
Do you know How many types of Joins in SQL. In this ppt presentation we are discussion about types of joins in sql server eg: INNER JOIN , SELF JOIN ,OUTER JOIN ,Right outer Join,Left outer Join,Full Outer Join,CROSS JOIN .
This document discusses different types of joins in Oracle including equijoins to retrieve data from multiple tables where join columns are equal, non-equijoins where join columns are not equal, outer joins to return all rows from one table even if they do not meet the join condition, and self-joins to join a table to itself. It provides the syntax for writing SELECT statements to perform these different types of joins in Oracle by specifying the join condition in the WHERE clause and using table aliases to qualify column names.
Joins are used to combine data from multiple tables and come in several types. The main types are inner joins, left joins, right joins, full joins, and self joins. Inner joins return rows where there are matches in both tables, left joins return all rows from the left table even if no match exists in the right table, and right joins are the opposite of left joins. Full joins are not directly supported in MySQL and require a combination of joins and unions. Self joins match a table to itself.
This document provides an introduction to fundamental spreadsheet skills. It discusses that spreadsheets consist of rows and columns with cells at each intersection that can contain text, numbers, or formulas. Formulas use cell references and mathematical/logical functions to perform calculations. Common functions include SUM, AVERAGE, MAX and MIN. Formulas can be filled across cells, and absolute references lock cell references when filling.
Excel Tutorials - VLOOKUP and HLOOKUP FunctionsMerve Nur Taş
Excel Tutorials with screenshots.
Reference and lookup functions in Excel: How to use VLOOKUP and HLOOKUP functions. VLOOKUP function example.
MS Excel 2016 for Mac
This document discusses different types of joins in SQL, including inner joins, outer joins, cross joins, and natural joins. It provides guidelines for writing join conditions, handling ambiguous column names, and joining more than two tables. The key types of joins covered are equijoins for matching column values, outer joins to also return non-matching rows, and self joins to join a table to itself.
The document discusses various techniques for optimizing database performance in Oracle, including:
- Using the cost-based optimizer (CBO) to choose the most efficient execution plan based on statistics and hints.
- Creating appropriate indexes on columns used in predicates and queries to reduce I/O and sorting.
- Applying constraints and coding practices like limiting returned rows to improve query performance.
- Tuning SQL statements through techniques like predicate selectivity, removing unnecessary objects, and leveraging indexes.
1) The document discusses various database indexing concepts including tables, heaps, clustered and non-clustered indexes.
2) It covers the pros and cons of indexes, and how to balance performance with index overhead.
3) The author provides tips on choosing appropriate indexes including covering indexes and using system views to identify high impact missing indexes.
This document discusses various types of joins in SQL including equi joins, outer joins, cartesian joins, and self joins. It also covers set operators like UNION, INTERSECT, and MINUS that combine results from multiple queries. Subqueries are discussed as an alternative way to retrieve data from multiple tables using a query nested within another query.
This document provides an overview of common Excel formulas taught by Mrs. Asih including AVERAGE, MAX, MIN, COUNT, and COUNTA. It explains that Excel formulas begin with an equal sign (=) and can include functions, references to cells, constants, and basic operators. Examples are provided for each formula type. The AVERAGE formula returns the average arithmetic value of a range, MAX finds the highest value in a range, MIN finds the lowest value, COUNT calculates the number of numeric values in a range, and COUNTA counts all non-empty cells.
How to use Hlookup find an exact match Excel Advise
In this presentation we are telling you guys that In Microsoft Excel How to use Hlookup find an exact match.
The H in HLOOKUP stands for horizontal.
Hlookup Function is used to search a value in another Table and if found return the corresponding value of that table for the specified row.
You can lookup value in one of the two following ways:
Range Lookup
Range lookup is used when you want to search for ranges, it will look for nearest minimum value from the first row of the table.
Exact Lookup
We use this kind of lookups when we need to seek exact value.
Lookup value is the value to be found in the first row of the table. It can be a number, text or cell address..
Table array is a range where you want to find your lookup value.
Row num is the row number in table array from which the matching value will be returned
Range lookup is a logical value that specifies whether you want HLOOKUP to find an exact match or an approximate match.
if range lookup is true then it will return you exact match or an approximate matching value. And if range lookup is false it will give you exact match.
This document provides an introduction to fundamental spreadsheet skills. It discusses what spreadsheets are, how they are made up of cells organized in rows and columns, and how cells can contain text, numbers, or formulas. It describes common formatting options and how formulas use mathematical and relational operators to perform calculations by referring to cell ranges. Functions like SUM, AVERAGE, MAX and MIN are introduced which make calculations easier. The document also covers filling formulas across cells and using absolute cell references.
10 Excel Formulas that will help you in any JobHitesh Biyani
These are some basic and moderate excel formulas but are widely used in a corporate world be it any industry. A must read for freshers looking to seek a job with profiles in Banking, Insurance, BPO / KPO (Data support), etc
Use of Excel Spreadsheets in Computing GradesElli May Cañas
This document discusses using Excel to compute grades. It explains how Excel formulas can be used to automatically calculate totals, averages, dropped scores, and weighted averages. Common functions like SUM, AVERAGE, MIN, and COUNT are described. Conditional logic and lookup functions like IF, AND, OR, ISBLANK, and VLOOKUP allow Excel to perform different calculations based on cell values. The document provides examples of formulas to calculate class averages that drop scores, apply weighting, and perform letter grade conversions using lookup tables.
The document discusses the VLOOKUP function in Excel. VLOOKUP is used to find a value in a table and return a value from the same row based on the column index number. It has four required parameters: the lookup value, the table array, the column index number to return, and an optional range lookup parameter to specify an exact or approximate match. The document provides examples of using VLOOKUP to look up employee hourly rates from a table based on their names and explains how the range lookup parameter impacts whether it returns exact or approximate matches.
The document is a presentation about lookup functions in Microsoft Excel. It introduces LOOKUP, VLOOKUP, and HLOOKUP functions. It provides examples of how to use each function to lookup values in tables and return results. It also shares some fun facts about Excel's history and capabilities.
The document discusses how to use basic arithmetic operators like addition, subtraction, multiplication, and division to create formulas in Excel. It explains that cells are identified by their column letter and row number intersection, and that formulas use cell references and arithmetic operators to perform calculations on the data in those cells. As an example, it shows how to use the SUM function to add the values in a range of cells by writing the formula =SUM(B4:B7) to total the numbers in cells B4 through B7.
The document discusses the INDEX and MATCH functions in Excel. It explains that INDEX returns the value at the intersection of a row and column, and can take the output of MATCH as an argument for the row number. MATCH finds the row number that matches a lookup value within a lookup array. Nested together, INDEX and MATCH allow you to perform a vlookup-type lookup on data to return the value at the matched row and column number.
The document provides samples of complex Excel formulas, macros, and functions for tasks like data mining, data conversion, tracking metrics, daily booking, summarizing data, splitting data into individual sheets, and calculating summarized survey data. It also includes examples of using checkboxes, SUMPRODUCT formula, date calculations, and INDEX-MATCH functions to build robust and functional spreadsheets.
joins and subqueries in big data analysisSanSan149
This document discusses joins and subqueries in SQL for big data analysis. It defines different types of SQL joins such as inner, left, right, and full outer joins. It explains that joins combine rows from two or more tables based on related columns. It also defines subqueries as queries nested within other SQL statements, most commonly in the WHERE clause, and notes they must be enclosed in parentheses and placed on the right side of a comparison operator.
The document provides an overview of various Excel functions organized into categories including:
1. Mathematical functions such as ROUND, MOD, INTEGER, GCD, and LOG functions.
2. Statistical functions such as COUNT, AVERAGE, MAX, MEDIAN, and financial functions such as NPV, PV, PMT.
3. Lookup functions including VLOOKUP, HLOOKUP, MATCH to find data in tables or perform lookups.
4. Date and time functions like DATE, TIME, TODAY, NOW and DATEDIF to work with dates and times.
5. Text functions including LEFT, RIGHT, MID, UPPER, LOWER, LEN to manipulate
The document provides examples and explanations of the SUMIF formula in Excel. The SUMIF formula sums values from a range that meet criteria specified in another range. For example, it shows how to use SUMIF to sum the number of Excel students registered on all dates in a table by specifying the criteria as "*excel*" to match cells containing "Excel" anywhere in the text. It also demonstrates using SUMIF to match criteria at the start or end of cells by using "excel*" and "*excel" respectively.
Types Of Join In Sql Server - Join With Example In Sql Serverprogrammings guru
Do you know How many types of Joins in SQL. In this ppt presentation we are discussion about types of joins in sql server eg: INNER JOIN , SELF JOIN ,OUTER JOIN ,Right outer Join,Left outer Join,Full Outer Join,CROSS JOIN .
This document discusses different types of joins in Oracle including equijoins to retrieve data from multiple tables where join columns are equal, non-equijoins where join columns are not equal, outer joins to return all rows from one table even if they do not meet the join condition, and self-joins to join a table to itself. It provides the syntax for writing SELECT statements to perform these different types of joins in Oracle by specifying the join condition in the WHERE clause and using table aliases to qualify column names.
Joins are used to combine data from multiple tables and come in several types. The main types are inner joins, left joins, right joins, full joins, and self joins. Inner joins return rows where there are matches in both tables, left joins return all rows from the left table even if no match exists in the right table, and right joins are the opposite of left joins. Full joins are not directly supported in MySQL and require a combination of joins and unions. Self joins match a table to itself.
This document provides an introduction to fundamental spreadsheet skills. It discusses that spreadsheets consist of rows and columns with cells at each intersection that can contain text, numbers, or formulas. Formulas use cell references and mathematical/logical functions to perform calculations. Common functions include SUM, AVERAGE, MAX and MIN. Formulas can be filled across cells, and absolute references lock cell references when filling.
Excel Tutorials - VLOOKUP and HLOOKUP FunctionsMerve Nur Taş
Excel Tutorials with screenshots.
Reference and lookup functions in Excel: How to use VLOOKUP and HLOOKUP functions. VLOOKUP function example.
MS Excel 2016 for Mac
This document discusses different types of joins in SQL, including inner joins, outer joins, cross joins, and natural joins. It provides guidelines for writing join conditions, handling ambiguous column names, and joining more than two tables. The key types of joins covered are equijoins for matching column values, outer joins to also return non-matching rows, and self joins to join a table to itself.
The document discusses various techniques for optimizing database performance in Oracle, including:
- Using the cost-based optimizer (CBO) to choose the most efficient execution plan based on statistics and hints.
- Creating appropriate indexes on columns used in predicates and queries to reduce I/O and sorting.
- Applying constraints and coding practices like limiting returned rows to improve query performance.
- Tuning SQL statements through techniques like predicate selectivity, removing unnecessary objects, and leveraging indexes.
1) The document discusses various database indexing concepts including tables, heaps, clustered and non-clustered indexes.
2) It covers the pros and cons of indexes, and how to balance performance with index overhead.
3) The author provides tips on choosing appropriate indexes including covering indexes and using system views to identify high impact missing indexes.
This document discusses hashing techniques for implementing abstract data types like tables. It begins by describing tables as data structures with fields that can be searched using a key. Different implementations of tables are then examined, including unsorted and sorted arrays, linked lists, and binary trees. The document focuses on hashing as a way to enable fast search (O(1) time) by using a hash function to map keys to array indices. It covers hash table implementation using arrays with collision resolution via separate chaining or open addressing. Factors like hash functions, collision handling, and table size that influence hashing performance are also summarized.
This document discusses various topics related to enterprise resource planning (ERP) systems and technologies. It defines ERP as business process management software that integrates applications to manage business functions. It describes the typical lifecycle of an ERP implementation project, including pre-evaluation, evaluation, project planning, gap analysis, reengineering, training, testing, and post-implementation. It also discusses ERP-related technologies like business intelligence, supply chain management, and customer relationship management.
The document provides information about various SQL concepts like views, triggers, functions, indexes, and joins. It defines views as virtual tables created by queries on other tables. Triggers are blocks of code that execute due to data modification language statements on tables. Functions allow reusable code and improve clarity. Indexes speed up searches by allowing fast data retrieval. Joins combine data from two or more tables based on relationships between columns. Stored procedures are SQL statements with an assigned name that are stored for shared use.
The document discusses multiple database concepts including different types of joins, set operators, subqueries, views, sequences, synonyms, indexes, and security. It provides syntax examples for performing joins, subqueries, creating views, sequences, and indexes. It also describes controlling access and privileges at the system and database level.
This document discusses various database objects including sequences, indexes, and synonyms. It provides instructions on how to create, use, modify and delete sequences to generate unique numbers. It also explains how to create indexes on columns to improve query performance and view index information. Additionally, it covers creating public or private synonyms to simplify accessing objects and dropping objects using DROP statements.
This document provides a summary of MySQL commands in 3 parts. Part 1 covers general commands for databases, tables, data manipulation, and privileges. Commands include USE, SHOW, CREATE TABLE, INSERT, DELETE, GRANT, and REVOKE. The summary explains syntax, purpose, and common options for many basic MySQL statements.
MySQL is a database management system where data is stored in tables which consist of columns and rows. The document provides instructions on installing MySQL on Linux using RPM files and setting the root password. It also describes some basic MySQL concepts like queries, creating/modifying tables, and joining tables.
This document describes Empowerment Technologies, a tool for financial analysis, modeling, and collaboration. It features calculation and graphing tools, pivot tables, and a macro programming language. It can compute costs, create tables and findings, and generate reports for business or research projects. It is also a collaboration tool for financial analysis or modeling.
This document provides an overview of the MySQL database including:
- The different types of databases including MySQL, MS SQL Server, Oracle Server, and MS Access.
- The advantages of using MySQL such as being open-source, powerful, standard SQL language, works on many operating systems and with many languages.
- Key aspects of MySQL including queries, clauses, operators, keys, joins, and datatypes. Queries are used to manipulate and retrieve data while keys uniquely identify records. Joins combine data from multiple tables.
1 Week 4 What Well Be Working on This Week B.docxdorishigh
1
Week 4 What We'll Be Working on This Week
Besides typing data into fields, there are a number of excellent ways in which you can populate your
Access tables. You can use the Paste Append command to:
copy records from one table to another, either within a single database file or from one
database to another
copy records within the same table
You can also import Excel data into an Access table,
The techniques for transferring data from one table to another or from one database to another will be
invaluable to you as you go about creating your database files, because they will represent
tremendous time savings.
Two other excellent options that are available to you in Access are the ability to create drop-down
lists from which the user may simply select an item rather than typing. In this way, many typing errors
are avoided, not to mention the added benefit of tremendous time savings.
Value Lists are extremely easy to create, and display static drop-down lists of items for the
user to select.
Lookup Lists display a drop-down list where the contents of the list are looked up in another
table and change when the source list changes.
Goals:
Using the Paste Append command to copy records from one table to another page 2
Using the Paste Append command to copy records within a table page 7
Importing data from Excel into an Access table page 12
Copying the Excel data into an Access table page 21
Creating a Value List with the Wizard page 24
Creating a Lookup List with the Wizard page 33
Modifying a Lookup List page 43
Changing Relationships page 48
Changing the data to test the Lookup field page 54
Testing Referential Integrity page 56
This is where we're headed this week. So here we go.
2
Goals for this section:
Using the Paste Append command to copy records from one table to another
Using the Paste Append command to copy records within a table
Using the Paste Append Command to Copy Records between Tables
So far, we've seen how you can copy the structure of a table and use it as the basis for another table.
But you can also copy the records from one table to another. This could be especially valuable if you
have several people creating tables with the same fields and different records, because it would make
much more sense to keep all the records in a single table. This procedure can also be extremely
beneficial for archiving old or inactive records.
The Paste Append command is an invaluable tool for copying records in the following three ways:
Within a table
From one table to another in the same database
From one table in one database to another table in a different database
When you paste rows into another table, the rows you are adding must satisfy the validation rules of
the receiving table, and the primary key values (if any) must be unique. If any validation ...
This document provides instructions on creating simple formulas in Excel 2003. It discusses using formulas to perform calculations with cell references and mathematical operators. Common functions like SUM, AVERAGE, MAX and MIN are explained. It also covers using the AutoSum button to easily insert formulas, and editing existing formulas by dragging range borders to modify the cell references. The document is intended to teach basic formula creation and functions to new Excel users.
This document discusses different searching methods like sequential, binary, and hashing. It defines searching as finding an element within a list. Sequential search searches lists sequentially until the element is found or the end is reached, with efficiency of O(n) in worst case. Binary search works on sorted arrays by eliminating half of remaining elements at each step, with efficiency of O(log n). Hashing maps keys to table positions using a hash function, allowing searches, inserts and deletes in O(1) time on average. Good hash functions uniformly distribute keys and generate different hashes for similar keys.
This document provides an introduction to SQL (Structured Query Language). It defines SQL as a standard language for accessing and manipulating databases. It describes some key SQL commands like SELECT, WHERE, AND, OR, NOT, ORDER BY and explains their usage and syntax. Examples are given using tables from the Northwind sample database to demonstrate how to retrieve, filter and sort data. The document also discusses using SQL with websites to display database content and some database concepts like tables, records and fields.
The document provides an introduction to the Oracle optimizer. It discusses key concepts like cost, selectivity, cardinality, clustering factor, access methods including table scans, index scans and joins. It covers partitioning, subqueries and hints. The examples show how statistics, histograms and indexes impact the optimizer's choice of access paths and joins.
Internal tables in ABAP allow storing multiple records of the same type. They can be defined with or without a header line, which acts as a work area. Data is accessed using statements like LOOP, READ, APPEND that place one record at a time in the work area. The MODIFY, INSERT, DELETE statements update records. The SORT, COLLECT statements rearrange records in the table.
The document discusses how to create and modify Oracle tables using SQL. It describes how to use the CREATE TABLE statement to define a table's structure, columns, constraints, and storage parameters. It also explains how to view table metadata using data dictionary views, add comments to tables and columns, and alter existing tables by adding or modifying columns while following certain restrictions.
The document discusses the components of the SQL Server database engine and services. The database engine includes key processes like the algebrizer, query optimizer, query engine, storage engine, buffer manager, and lock manager. SQL Server services allow controlling and communicating with SQL Server, including the SQL Server Agent, Database Mail, and Distributed Transaction Coordinator. The document also covers SQL statements, query flow, joins, and including data with subqueries and common table expressions.
1. The document provides an overview of MySQL concepts including databases, tables, keys, and SQL commands.
2. It defines databases, DBMS, relational databases, RDBMS, benefits of using a DBMS, and introduces MySQL as an open source RDBMS.
3. It also covers SQL commands like SELECT, INSERT, UPDATE, DELETE and concepts like data types, constraints, indexes and functions.
This document provides an overview of key concepts in Oracle database administration including:
1) Installing and configuring Oracle databases, exploring the physical and logical database architecture, and managing database storage structures.
2) Administering user security through creating users, granting privileges, and managing roles.
3) Performing backup and recovery of Oracle databases using both user-managed and RMAN-managed methods.
4) Additional topics covered include high availability features like Data Guard, performance tuning, and Oracle Grid Control.
orienit is the best Oracle ADF(Application Development Framework) training institutes in Hyderabad.We Providing Oracle ADF Training by realtime faculty in hyderabad.
orienit is the best Oracle ADF(Application Development Framework) training institutes in Hyderabad.We Providing Oracle ADF Training by realtime faculty in hyderabad.
This document provides an introduction to Oracle architecture. It describes the basic client-server environment with applications running on client computers connecting to the Oracle database server. It outlines the major Oracle versions and supported platforms. It explains the key Oracle database files including the parameter file, control file, redo log files, and data files. It describes the logical and physical storage structures including tables, tablespaces, and schemas. It provides an overview of the system global area components including the shared pool, redo log buffer, and data buffer pool. Finally, it briefly summarizes parsing and execution in Oracle.
This document outlines the topics that will be covered in an Oracle WebCenter 11g training course, including:
- An overview of Oracle WebCenter architecture and its components like Oracle JDeveloper, ADF, portlets, and services.
- How to build applications using the WebCenter framework, create pages and taskflows, integrate portlets, and customize components.
- Configuring and using various WebCenter services such as wikis, blogs, discussions, content management, and more.
- Setting up and administering WebCenter spaces, installing and configuring WebCenter, and performance tuning.
The document provides an overview of an Oracle SOA Suite 11g training course. The course covers concepts related to service-oriented architecture (SOA) and service component architecture (SCA), as well as how to install and configure the SOA Suite. It also describes how to create composite applications using SOA components like BPEL and mediators, develop adapter services, implement human tasks and business rules, manage transactions and security, and work with events and the B2B gateway. Hands-on practice is emphasized throughout the 35-40 day course.
This document provides an overview of the course content for an Oracle Applications Technical (R12) training course. The course covers topics such as ERP overview, Oracle application architecture, Oracle application modules, tables, forms, reports, interfaces, conversions, flex fields, XML/BI Publisher reports, workflows, and Discoverer administration. It also includes sections on real-time requirements, Oracle 11g and D2K 10g development, and frequently asked interview questions.
This document provides an overview of training topics for Oracle Applications Finance R12, including Oracle General Ledger, Purchasing, Payables, Payments, Cash Management, Fixed Assets, Order to Cash cycle, Receivables, and System Administration. Key areas covered are flexfields, setup options, business processes like procure to pay and order to cash, and reports. The training appears to provide fundamental to intermediate level instruction on configuration, navigation, and use of the various Oracle financial modules.
The document contains an outline for an Oracle Application Development Framework (ADF) training course. The course covers topics such as Oracle Fusion and ADF architecture, building ADF applications using JDeveloper, creating and working with ADF business components, ADF Faces rich components, navigation and task flows, data binding, validation, internationalization, web services, security, and deployment. Practical exercises are included for each concept to help students apply what they learn.
This document outlines the course content for a Hadoop training course taught by Mr. Kalyan, who has 7+ years of experience working with Hadoop in real-time environments and holds an M.Tech from IIT Kharagpur. The course covers introductory concepts in big data and Hadoop, HDFS architecture and operations, MapReduce programming, YARN, Pig, Hive, HBase, and ZooKeeper. It provides detailed descriptions of topics including HDFS components, MapReduce jobs, data types, joins, debugging, and configurations.
The document contains an outline for an Oracle Application Development Framework (ADF) training course. The course covers topics such as Oracle Fusion and ADF architecture, building ADF applications using JDeveloper, creating and working with ADF business components, ADF Faces rich components, navigation and task flows, data binding, validation, internationalization, web services, security, and deployment. Practical exercises are included for each concept to help participants gain hands-on experience applying what they learn.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
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This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
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How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
2. Hints give specific information that we
know about our data and application.
A way to override the default query
optimization in the DBMS
Influence the execution plan of query
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3. Oracle optimizer may not always choose
the best execution plan
Using hints may improve the performance
by changing the execution plan oracle
takes.
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4. Hints can be used in the Select, Delete, and
Update clauses.
In each statement, the hint goes directly
after the Select, Delete, or Update
keyword. A few hints use Insert.
Hints are placed in the /*+ */ tag, where
the hint goes after the + sign
Ex: SELECT /*+ ALL_ROWS */ From…
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6. ALL_ROWS: Minimizes total resource
consumption. Results will be returned
only after all processing has been
completed
FIRST_ROWS(n): Minimized response
time, or minimal resource usage to return
the first n rows.
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7. FULL(table): Chooses a full table scan for
the table, even if there is an index available.
INDEX(table [index [index]...]): Chooses an
Index scan for the table.
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8. CIS Department has far more males than
females
SELECT /*+ FULL(s) */ id, name
FROM Student s
WHERE sex = ‘m’;
SELECT /*+ Index(s sex_index) */ id, name
FROM Student s
WHERE sex = ‘f’;
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9. ORDERED: tables are joined in the order in
which they appear in the FROM clause.
LEADING(table): specified table is the first
table used in the join order.
USE_HASH(table [table] …): Tables are
joined using a hash join. Smaller table is
used to make a hash table on join key. The
larger table is scanned using hash table to
find joined rows.
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10. USE_NL(table [table]…): Joins tables using
nested loops join, using specified table as
inner join. For every row in outer table, oracle
accesses every row in inner table.
USE_MERGE(table [table]…): Joins tables
using a sort-merge join. Sorted list are made
and then merged together. Best if tables are
already sorted.
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11. APPEND: Data is appended to the end of table,
rather then using existing space.
CACHE(table): Blocks received are placed at
the most recently used end of the LRU list in
the buffer cache when a full table scan is
preformed.
NOCACHE(table): Blocks received are placed
at the least recently used end of the LRU list in
the buffer cache.
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