This chapter discusses advanced SQL concepts including:
- Performing joins between multiple tables to combine data from related tables. The chapter defines different types of joins like equi-joins, natural joins, outer joins, and self joins.
- Using subqueries to retrieve data from one or more tables and use that data in the main query. The chapter discusses noncorrelated vs correlated subqueries.
- Ensuring transaction integrity through commands like BEGIN TRANSACTION, COMMIT, and ROLLBACK.
- Additional topics covered include query efficiency, guidelines for better query design, and using SQL in procedural languages.
This document discusses different types of SQL queries that can be used to process multiple tables, including joins, subqueries, and unions. It defines join, equi-join, natural join, outer join, union join, and self-join operations. Examples are provided to illustrate equi-joins, natural joins, outer joins, self-joins, subqueries used in WHERE and FROM clauses, and correlated versus noncorrelated subqueries. The document also discusses how UNION queries can combine the output of multiple queries into a single result table.
This document summarizes advanced SQL concepts including joins, subqueries, transactions, and other features. It discusses join types like equi-joins and outer joins. It describes how to use subqueries in the WHERE, FROM, and HAVING clauses. It also covers ensuring transaction integrity with commands like BEGIN TRANSACTION, COMMIT, and ROLLBACK. The document provides examples of joins, subqueries, and transactions.
1. A database is a collection of structured data organized by metadata that describes the structure.
2. The first normal form requires each attribute contain one value per tuple and each tuple be unique. The second normal form requires satisfying the first normal form and that all attributes depend on the candidate key.
3. The three primary types of relationships in a relational database are one-to-one, one-to-many, and many-to-many.
The document is an introduction to SQL that covers:
- The history and purpose of the SQL standard for managing relational databases
- Key components of SQL including the data definition language for defining database structure, the data manipulation language for querying and modifying data, and the data control language.
- How to define database tables using SQL data types and constraints, insert/update/delete data, and retrieve data using queries with functions, operators, and clauses for sorting and grouping results.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, the SQL standards, and the basic components and statements in SQL for defining schemas, querying and manipulating data, and enforcing data integrity. These include the data definition language (DDL) for creating tables, the data manipulation language (DML) for queries, inserts, updates and deletes, and data control language (DCL) for security. Examples are provided to illustrate how to define tables and relationships, and write queries using SQL statements.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, the SQL standards, and the basic components of SQL including data definition, data manipulation, and data control. It also provides examples of using SQL commands to define database tables, insert and modify data, write queries, and create views.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, including how it was created at IBM in the 1970s and became a standard through ANSI in 1986. The chapter also defines key SQL concepts like the data definition language, data manipulation language, schemas, tables, views, and queries. It provides examples of how to define database tables in SQL and write queries to select, insert, update, and delete data.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, the SQL standards, and the basic components of the SQL language including data definition, data manipulation, and data control. Examples are provided to demonstrate how to define database tables with attributes, primary keys, foreign keys and relationships using SQL data definition language statements.
This document discusses different types of SQL queries that can be used to process multiple tables, including joins, subqueries, and unions. It defines join, equi-join, natural join, outer join, union join, and self-join operations. Examples are provided to illustrate equi-joins, natural joins, outer joins, self-joins, subqueries used in WHERE and FROM clauses, and correlated versus noncorrelated subqueries. The document also discusses how UNION queries can combine the output of multiple queries into a single result table.
This document summarizes advanced SQL concepts including joins, subqueries, transactions, and other features. It discusses join types like equi-joins and outer joins. It describes how to use subqueries in the WHERE, FROM, and HAVING clauses. It also covers ensuring transaction integrity with commands like BEGIN TRANSACTION, COMMIT, and ROLLBACK. The document provides examples of joins, subqueries, and transactions.
1. A database is a collection of structured data organized by metadata that describes the structure.
2. The first normal form requires each attribute contain one value per tuple and each tuple be unique. The second normal form requires satisfying the first normal form and that all attributes depend on the candidate key.
3. The three primary types of relationships in a relational database are one-to-one, one-to-many, and many-to-many.
The document is an introduction to SQL that covers:
- The history and purpose of the SQL standard for managing relational databases
- Key components of SQL including the data definition language for defining database structure, the data manipulation language for querying and modifying data, and the data control language.
- How to define database tables using SQL data types and constraints, insert/update/delete data, and retrieve data using queries with functions, operators, and clauses for sorting and grouping results.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, the SQL standards, and the basic components and statements in SQL for defining schemas, querying and manipulating data, and enforcing data integrity. These include the data definition language (DDL) for creating tables, the data manipulation language (DML) for queries, inserts, updates and deletes, and data control language (DCL) for security. Examples are provided to illustrate how to define tables and relationships, and write queries using SQL statements.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, the SQL standards, and the basic components of SQL including data definition, data manipulation, and data control. It also provides examples of using SQL commands to define database tables, insert and modify data, write queries, and create views.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, including how it was created at IBM in the 1970s and became a standard through ANSI in 1986. The chapter also defines key SQL concepts like the data definition language, data manipulation language, schemas, tables, views, and queries. It provides examples of how to define database tables in SQL and write queries to select, insert, update, and delete data.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, the SQL standards, and the basic components of the SQL language including data definition, data manipulation, and data control. Examples are provided to demonstrate how to define database tables with attributes, primary keys, foreign keys and relationships using SQL data definition language statements.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, including how it was created at IBM in the 1970s and became a standard through ANSI in the 1980s. The chapter also defines key SQL concepts like the data definition language, data manipulation language, schemas, tables, views, and queries. It provides examples of how to define database tables in SQL and perform common operations like inserting, updating, deleting, and selecting data.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, the SQL standards, and the basic components and statements in SQL for defining schemas, querying and manipulating data, and enforcing data integrity. These include the data definition language (DDL) for creating tables, the data manipulation language (DML) for inserting, querying, updating and deleting data, and data control language (DCL) for security. Examples are provided to illustrate how to define tables and relationships, and write queries using SQL statements.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL from the 1970s to present day. The chapter also defines the key components of SQL including data definition language, data manipulation language, and data control language. It provides examples of creating tables and defining columns in a SQL database.
Microsoft Excel: Using Advanced Functions and Conditional Formatting document provides an overview of advanced Excel functions and conditional formatting. It discusses how to [1] use the IF, AND, and OR logical functions to evaluate conditions, [2] nest IF functions to test multiple conditions, [3] use structured references in formulas, and [4] apply conditional formatting to highlight or format cells based on their values. The document also demonstrates how to [3] summarize data using COUNTIF, SUMIF and AVERAGEIF functions to conditionally count, sum or average values that meet certain criteria.
This document discusses various SQL techniques for querying and manipulating data in multiple tables. It covers joining tables, using inner and outer joins, self-joins, and nested queries. It also discusses combining query results using set operators like UNION, INTERSECT, and MINUS. Finally, it discusses creating and using database views to encapsulate queries and allow convenient access to subsets of data.
This document provides an overview of using the MERGE statement in SQL Server to efficiently update or insert rows of data. It describes how the MERGE statement can match source and target rows, and use clauses like WHEN MATCHED, WHEN NOT MATCHED BY TARGET, and WHEN NOT MATCHED BY SOURCE to specify actions like updates, inserts, or deletes. It also discusses using the OUTPUT clause to return rows after data modifications from the MERGE statement. The goal is to process sets of data rather than individual rows to minimize network roundtrips between the client and server.
This document provides tips and tricks for using various Excel functions and formulas. It includes 23 tips covering functions such as DATEDIF, SUMIF, MATCH, INDEX, DSUM, IF, AND, COUNTIF and RANDBETWEEN. Each tip explains how to use the function, includes an example formula, and step-by-step instructions for applying the formula. The tips cover a wide range of functionality including calculating months of service, custom formatting, auditing dependencies, finding maximum values, combining text, lookups, adding criteria to sums, and more.
This document contains information about the Oracle Database 12c: SQL Fundamentals certification exam including the exam number, passing score, time limit, and sample questions. The sample questions test knowledge of SQL functions, joins, aggregates, date functions, and other SQL topics. Feedback from exam takers praises the accuracy and realism of the sample questions to help prepare for the actual exam.
The document discusses using subqueries and managing databases in SQL. It covers using subqueries with clauses like IN and EXISTS, nested and correlated subqueries, and the SELECT INTO statement. It also discusses creating, viewing, renaming, deleting, and modifying databases, as well as the system databases and files that store database objects and data in SQL Server.
Database DESIGN CONCEPTS
Dr. Dexter Francis
2
Data Design Concepts
Data Structures
Framework for organizing, storing, and managing data
Comprises of files or tables that interact in various ways
Each file or table contains data about people, places, things, or events
2
Mario and Danica - A Data Design Example
Mario’s auto shop uses file-oriented systems
MECHANIC SYSTEM uses the MECHANIC file to store data about shop employees
JOB SYSTEM uses the JOB file to store data about work performed at the shop
Danica’s auto shop uses a relational model
SHOP OPERATIONS SYSTEM - Tables are linked by a common field named Mechanic No field
3
Data Design Concepts (Cont. 1)
3
4
Data Design Concepts (Cont. 2)
FIGURE 9-4 Danica’s SHOP OPERATIONS SYSTEM uses a database design, which avoids duplication. The data can be viewed as if it were one large table, regardless of where the data is stored physically.
FIGURE 9-2 Mario’s shop uses two separate systems, so certain data must be entered twice. This redundancy is inefficient and can produce data errors.
Mario’s Auto Shop
Danica’s Auto Shop
4
Is File Processing Still Important?
Used by some companies to handle large volumes of structured data on a regular basis
Cost-effective in certain situations
5
Data Design Concepts (Cont. 3)
FIGURE 9-4 A credit card company that posts thousands of daily transactions might consider a file processing option.
5
The Database Environment
Database management system (DBMS): Collection of tools, features, and interfaces that enables users to add, update, manage, access, and analyze data
DBMS advantages
Scalability - System can be expanded, modified, or downsized
Economy of scale
Database design allows better utilization of hardware
6
Data Design Concepts (Cont. 4)
Figure 9-5 In this example, a sales database can
support four separate business systems.
6
Enterprise-wide application
A database administrator (DBA) assesses overall requirements and maintains the database
Stronger standards
Standards for data names, formats, and documentation are followed uniformly throughout the organization
Better security
Only legitimate users can access the database
Different users have different levels of access
Data independence
Systems that interact with a DBMS are relatively independent of how physical data is maintained
7
Data Design Concepts (Cont. 5)
7
8
DBMS Components
Interfaces for Users, Database Administrators, and Related Systems
Users
Work with predefined queries and switchboard commands
Use query languages to access stored data
Database administrators
Responsible for DBMS
management and support
Related information systems
DBMS provides support to
related information systems
FIGURE 9-6 In addition to interfaces or users, database administrators, and related information systems, a DBMS also has a data manipulation language, a schema and subschemas, and a physical data repository.
8
Data Manipulation Language (DML)
Controls ...
This document discusses advanced SQL topics including joins, subqueries, and ensuring transaction integrity. It provides examples of different types of joins like equi-joins, natural joins, outer joins, and union joins. It also discusses using subqueries in WHERE clauses, FROM clauses, and HAVING clauses, and differentiates between correlated and noncorrelated subqueries. The document concludes by defining transactions and describing SQL commands like BEGIN TRANSACTION, COMMIT, and ROLLBACK that are used to ensure transaction integrity.
1. SQL is the standard language for relational database management systems and defines commands for data definition, manipulation, and control.
2. The document discusses SQL components like DDL, DML, DCL and SQL statements such as CREATE, SELECT, INSERT, UPDATE, DELETE.
3. Examples are provided for defining database schema including tables, views, and indexes as well as manipulating data using various SQL statements.
This document provides step-by-step instructions for writing an SQL query to answer a question involving multiple tables and aggregate functions. It describes each step of decomposing the question, determining necessary tables and fields, writing joins, adding filters with WHERE and HAVING clauses, using aggregate functions like SUM, and formatting results with functions like TO_CHAR. Common errors are also outlined to help with troubleshooting.
Sql Server 2014 Course Content consists Course 20461-Querying Microsoft SQL Server. It discusses editions, versions, tools used to query, documentation sources, and the logical structure of databases.
1. (TCO 1) Which of the following sets of SQL clauses represent the minimum combination of clauses to make a working SQL statement? (Points : 5)
SELECT, WHERE
FROM, WHERE
SELECT, FROM
FROM, ORDER BY
The document discusses database management systems (DBMS) and their components, architecture, and models. It describes the relational database model and common operations on relations like select, project, join, union, intersection, and difference. It also introduces the structured query language (SQL) used to perform operations on relational databases and briefly discusses other database models like distributed and object-oriented databases.
Power BI Interview Questions and Answers | Power BI Certification | Power BI ...Edureka!
( Power BI Training - https://www.edureka.co/power-bi-training )
This Edureka "PowerBI Interview Questions and Answers" tutorial will help you unravel concepts of Power BI and touch those topics that are very vital for succeeding in Power BI Interviews.
This video helps you to learn the following topics:
1. General Power BI Questions
2. DAX
3. Power Pivot
4. Power Query
5. Power Map
6. Additional Questions
Check out our Power BI Playlist: https://goo.gl/97sJv1
This document provides tips for improving the performance of stored procedures and SQL queries. Some key points include:
1) Use column lists instead of "*" in SELECT statements to minimize network traffic and only return needed columns.
2) Use ANSI 92 syntax like INNER JOIN instead of older syntax to future proof queries.
3) Consider using table variables instead of temp tables to avoid recompiles in some cases.
4) Add proper indexes to avoid full table scans and improve performance of queries.
5) Avoid dynamic SQL when possible to prevent recompilation of execution plans.
This summarizes best practices for writing efficient stored procedures and queries discussed in the document.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, including how it was created at IBM in the 1970s and became a standard through ANSI in the 1980s. The chapter also defines key SQL concepts like the data definition language, data manipulation language, schemas, tables, views, and queries. It provides examples of how to define database tables in SQL and perform common operations like inserting, updating, deleting, and selecting data.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL, the SQL standards, and the basic components and statements in SQL for defining schemas, querying and manipulating data, and enforcing data integrity. These include the data definition language (DDL) for creating tables, the data manipulation language (DML) for inserting, querying, updating and deleting data, and data control language (DCL) for security. Examples are provided to illustrate how to define tables and relationships, and write queries using SQL statements.
This chapter introduces SQL (Structured Query Language) as the standard language for relational database management systems. It discusses the history and development of SQL from the 1970s to present day. The chapter also defines the key components of SQL including data definition language, data manipulation language, and data control language. It provides examples of creating tables and defining columns in a SQL database.
Microsoft Excel: Using Advanced Functions and Conditional Formatting document provides an overview of advanced Excel functions and conditional formatting. It discusses how to [1] use the IF, AND, and OR logical functions to evaluate conditions, [2] nest IF functions to test multiple conditions, [3] use structured references in formulas, and [4] apply conditional formatting to highlight or format cells based on their values. The document also demonstrates how to [3] summarize data using COUNTIF, SUMIF and AVERAGEIF functions to conditionally count, sum or average values that meet certain criteria.
This document discusses various SQL techniques for querying and manipulating data in multiple tables. It covers joining tables, using inner and outer joins, self-joins, and nested queries. It also discusses combining query results using set operators like UNION, INTERSECT, and MINUS. Finally, it discusses creating and using database views to encapsulate queries and allow convenient access to subsets of data.
This document provides an overview of using the MERGE statement in SQL Server to efficiently update or insert rows of data. It describes how the MERGE statement can match source and target rows, and use clauses like WHEN MATCHED, WHEN NOT MATCHED BY TARGET, and WHEN NOT MATCHED BY SOURCE to specify actions like updates, inserts, or deletes. It also discusses using the OUTPUT clause to return rows after data modifications from the MERGE statement. The goal is to process sets of data rather than individual rows to minimize network roundtrips between the client and server.
This document provides tips and tricks for using various Excel functions and formulas. It includes 23 tips covering functions such as DATEDIF, SUMIF, MATCH, INDEX, DSUM, IF, AND, COUNTIF and RANDBETWEEN. Each tip explains how to use the function, includes an example formula, and step-by-step instructions for applying the formula. The tips cover a wide range of functionality including calculating months of service, custom formatting, auditing dependencies, finding maximum values, combining text, lookups, adding criteria to sums, and more.
This document contains information about the Oracle Database 12c: SQL Fundamentals certification exam including the exam number, passing score, time limit, and sample questions. The sample questions test knowledge of SQL functions, joins, aggregates, date functions, and other SQL topics. Feedback from exam takers praises the accuracy and realism of the sample questions to help prepare for the actual exam.
The document discusses using subqueries and managing databases in SQL. It covers using subqueries with clauses like IN and EXISTS, nested and correlated subqueries, and the SELECT INTO statement. It also discusses creating, viewing, renaming, deleting, and modifying databases, as well as the system databases and files that store database objects and data in SQL Server.
Database DESIGN CONCEPTS
Dr. Dexter Francis
2
Data Design Concepts
Data Structures
Framework for organizing, storing, and managing data
Comprises of files or tables that interact in various ways
Each file or table contains data about people, places, things, or events
2
Mario and Danica - A Data Design Example
Mario’s auto shop uses file-oriented systems
MECHANIC SYSTEM uses the MECHANIC file to store data about shop employees
JOB SYSTEM uses the JOB file to store data about work performed at the shop
Danica’s auto shop uses a relational model
SHOP OPERATIONS SYSTEM - Tables are linked by a common field named Mechanic No field
3
Data Design Concepts (Cont. 1)
3
4
Data Design Concepts (Cont. 2)
FIGURE 9-4 Danica’s SHOP OPERATIONS SYSTEM uses a database design, which avoids duplication. The data can be viewed as if it were one large table, regardless of where the data is stored physically.
FIGURE 9-2 Mario’s shop uses two separate systems, so certain data must be entered twice. This redundancy is inefficient and can produce data errors.
Mario’s Auto Shop
Danica’s Auto Shop
4
Is File Processing Still Important?
Used by some companies to handle large volumes of structured data on a regular basis
Cost-effective in certain situations
5
Data Design Concepts (Cont. 3)
FIGURE 9-4 A credit card company that posts thousands of daily transactions might consider a file processing option.
5
The Database Environment
Database management system (DBMS): Collection of tools, features, and interfaces that enables users to add, update, manage, access, and analyze data
DBMS advantages
Scalability - System can be expanded, modified, or downsized
Economy of scale
Database design allows better utilization of hardware
6
Data Design Concepts (Cont. 4)
Figure 9-5 In this example, a sales database can
support four separate business systems.
6
Enterprise-wide application
A database administrator (DBA) assesses overall requirements and maintains the database
Stronger standards
Standards for data names, formats, and documentation are followed uniformly throughout the organization
Better security
Only legitimate users can access the database
Different users have different levels of access
Data independence
Systems that interact with a DBMS are relatively independent of how physical data is maintained
7
Data Design Concepts (Cont. 5)
7
8
DBMS Components
Interfaces for Users, Database Administrators, and Related Systems
Users
Work with predefined queries and switchboard commands
Use query languages to access stored data
Database administrators
Responsible for DBMS
management and support
Related information systems
DBMS provides support to
related information systems
FIGURE 9-6 In addition to interfaces or users, database administrators, and related information systems, a DBMS also has a data manipulation language, a schema and subschemas, and a physical data repository.
8
Data Manipulation Language (DML)
Controls ...
This document discusses advanced SQL topics including joins, subqueries, and ensuring transaction integrity. It provides examples of different types of joins like equi-joins, natural joins, outer joins, and union joins. It also discusses using subqueries in WHERE clauses, FROM clauses, and HAVING clauses, and differentiates between correlated and noncorrelated subqueries. The document concludes by defining transactions and describing SQL commands like BEGIN TRANSACTION, COMMIT, and ROLLBACK that are used to ensure transaction integrity.
1. SQL is the standard language for relational database management systems and defines commands for data definition, manipulation, and control.
2. The document discusses SQL components like DDL, DML, DCL and SQL statements such as CREATE, SELECT, INSERT, UPDATE, DELETE.
3. Examples are provided for defining database schema including tables, views, and indexes as well as manipulating data using various SQL statements.
This document provides step-by-step instructions for writing an SQL query to answer a question involving multiple tables and aggregate functions. It describes each step of decomposing the question, determining necessary tables and fields, writing joins, adding filters with WHERE and HAVING clauses, using aggregate functions like SUM, and formatting results with functions like TO_CHAR. Common errors are also outlined to help with troubleshooting.
Sql Server 2014 Course Content consists Course 20461-Querying Microsoft SQL Server. It discusses editions, versions, tools used to query, documentation sources, and the logical structure of databases.
1. (TCO 1) Which of the following sets of SQL clauses represent the minimum combination of clauses to make a working SQL statement? (Points : 5)
SELECT, WHERE
FROM, WHERE
SELECT, FROM
FROM, ORDER BY
The document discusses database management systems (DBMS) and their components, architecture, and models. It describes the relational database model and common operations on relations like select, project, join, union, intersection, and difference. It also introduces the structured query language (SQL) used to perform operations on relational databases and briefly discusses other database models like distributed and object-oriented databases.
Power BI Interview Questions and Answers | Power BI Certification | Power BI ...Edureka!
( Power BI Training - https://www.edureka.co/power-bi-training )
This Edureka "PowerBI Interview Questions and Answers" tutorial will help you unravel concepts of Power BI and touch those topics that are very vital for succeeding in Power BI Interviews.
This video helps you to learn the following topics:
1. General Power BI Questions
2. DAX
3. Power Pivot
4. Power Query
5. Power Map
6. Additional Questions
Check out our Power BI Playlist: https://goo.gl/97sJv1
This document provides tips for improving the performance of stored procedures and SQL queries. Some key points include:
1) Use column lists instead of "*" in SELECT statements to minimize network traffic and only return needed columns.
2) Use ANSI 92 syntax like INNER JOIN instead of older syntax to future proof queries.
3) Consider using table variables instead of temp tables to avoid recompiles in some cases.
4) Add proper indexes to avoid full table scans and improve performance of queries.
5) Avoid dynamic SQL when possible to prevent recompilation of execution plans.
This summarizes best practices for writing efficient stored procedures and queries discussed in the document.
Open Source Contributions to Postgres: The Basics POSETTE 2024ElizabethGarrettChri
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
Build applications with generative AI on Google CloudMárton Kodok
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
Did you know that drowning is a leading cause of unintentional death among young children? According to recent data, children aged 1-4 years are at the highest risk. Let's raise awareness and take steps to prevent these tragic incidents. Supervision, barriers around pools, and learning CPR can make a difference. Stay safe this summer!