This document provides an overview of database backups for MS SQL, including defining backups, preparing a backup plan, creating different types of backups using T-SQL scripts, and recovery models. It discusses topics such as creating a dedicated backup user, modifying the user in SSMS, introducing full, differential, transaction log, and copy only backups. The document is intended to help readers understand and implement database backups.
This document discusses randomizing data in Microsoft SQL Server. It explains how to generate unique identifiers (GUIDs) to randomize data, create a temporary table to insert randomized data, and display results randomly ordered by the GUID field. Examples are provided of inserting a subset of user data from Stack Overflow based on location into a temporary table, and displaying 10 random records from that table. The randomized results could be useful for applications like jury selection, assigning volunteers, or selecting employees for training.
In this slides we describe about the databases of Amazon Web Services and what are there features and there other functionality and uses in real time scenario and types of database available in Amazon web services.
Software architecture case study - why and why not sql server replicationShahzad
This document discusses using replication to consolidate check list data from multiple ships into a central database server. Replication is suitable because the data from different ships does not require real-time consistency and each ship's records will be updated independently. However, the document notes that an alternative like periodic file transfers may work as well depending on the volume and frequency of data changes. The key factors in choosing replication or another method are how critical up-to-date data consolidation is and how much data needs to be transferred.
The document provides an overview of basic concepts related to SQL server databases including database objects, file systems, storage structures, and query processing. It discusses topics like SQL server databases, storage files and file groups, data pages and extents, data organization in heaps vs indexed tables, and how queries are processed through either full table scans or using indexes.
● Distributed Database Management Systems Advantages and Disadvantages.
● Characteristics of Distributed Database Management Systems.
● Levels of Data and Process Distribution.
● Distributed Database Transparency Features.
● Transaction Performance and Failure Transparency.
In this presentation I talk about various topics related to Memory Management in SQL Server such as:
1. Memory Manager: Windows NT
a. Virtual memory
i. Address Space Layout
ii. Virtual Memory Manager
iii. 32-bit Virtual Addresses
iv. Address Translation
b. Memory Pool
c. 4GT Tuning
i. /3GB Switch (Two slides)
ii. Effects of /3GB Tuning
iii. /USERVA Switch
d. PAE
i. Using /3GB & PAE together
e. AWE
f. 32-bit vs 64-bit Virtual Memory
2. Memory Manager: SQLOS
a. SQLOS
i. Memory Management
ii. Scheduling
iii. Exception handling
b. NUMA (Non-Uniform Memory Architecture)
c. BP and MTL ?
d. Memory Types
e. Memory Pressure
This document discusses randomizing data in Microsoft SQL Server. It explains how to generate unique identifiers (GUIDs) to randomize data, create a temporary table to insert randomized data, and display results randomly ordered by the GUID field. Examples are provided of inserting a subset of user data from Stack Overflow based on location into a temporary table, and displaying 10 random records from that table. The randomized results could be useful for applications like jury selection, assigning volunteers, or selecting employees for training.
In this slides we describe about the databases of Amazon Web Services and what are there features and there other functionality and uses in real time scenario and types of database available in Amazon web services.
Software architecture case study - why and why not sql server replicationShahzad
This document discusses using replication to consolidate check list data from multiple ships into a central database server. Replication is suitable because the data from different ships does not require real-time consistency and each ship's records will be updated independently. However, the document notes that an alternative like periodic file transfers may work as well depending on the volume and frequency of data changes. The key factors in choosing replication or another method are how critical up-to-date data consolidation is and how much data needs to be transferred.
The document provides an overview of basic concepts related to SQL server databases including database objects, file systems, storage structures, and query processing. It discusses topics like SQL server databases, storage files and file groups, data pages and extents, data organization in heaps vs indexed tables, and how queries are processed through either full table scans or using indexes.
● Distributed Database Management Systems Advantages and Disadvantages.
● Characteristics of Distributed Database Management Systems.
● Levels of Data and Process Distribution.
● Distributed Database Transparency Features.
● Transaction Performance and Failure Transparency.
In this presentation I talk about various topics related to Memory Management in SQL Server such as:
1. Memory Manager: Windows NT
a. Virtual memory
i. Address Space Layout
ii. Virtual Memory Manager
iii. 32-bit Virtual Addresses
iv. Address Translation
b. Memory Pool
c. 4GT Tuning
i. /3GB Switch (Two slides)
ii. Effects of /3GB Tuning
iii. /USERVA Switch
d. PAE
i. Using /3GB & PAE together
e. AWE
f. 32-bit vs 64-bit Virtual Memory
2. Memory Manager: SQLOS
a. SQLOS
i. Memory Management
ii. Scheduling
iii. Exception handling
b. NUMA (Non-Uniform Memory Architecture)
c. BP and MTL ?
d. Memory Types
e. Memory Pressure
If your files get deleted due to the occurrence of the disk is unreadable error then you can easily access the files by using Macbook data recovery software.
Ms sql database repair software repairs corrupt, damaged sql database mdf files and also recovers deleted database files in all cases. It effectively repairs mssql database, when DBCC CHECKDB fails to do so.
This document provides a sample database design methodology using MS SQL Server 2017. It discusses concepts such as database creation, filegroups, files, tables, indexes, and storage considerations. Sample T-SQL scripts are provided to demonstrate how to create a database called "DB_SAMPLE_2017" that includes filegroups, files, a customers table with a primary key and blob field, and a non-clustered index on the SSN field. The document is intended to explain basic database design concepts in a concise manner.
The document discusses information system architecture, data structures, data analysis, data validation, and database management systems. It provides examples of common data structures like arrays and linked lists. It also describes different methods of data validation such as format checks, range checks, and uniqueness checks. Finally, it outlines key features of database management systems including querying, backup and replication, rule enforcement, and security.
This document provides information about databases and how to use OpenOffice Base. It discusses:
1) How databases work by centralizing data in one location so all applications can access the same updated information.
2) The advantages of databases like reducing data redundancy, controlling inconsistencies, and facilitating data sharing.
3) The differences between flat and relational databases and that OpenOffice Base is a relational database management system (RDBMS).
4) The basic functions of OpenOffice Base including creating tables, setting primary keys, opening existing databases, and writing queries.
Save and Save As commands allow users to save files. Save saves the file with the original name and location, while Save As allows saving with a new name or in a new location. Cut and Delete are commands that remove content from a document - Cut removes and saves to the clipboard while Delete permanently removes without saving. Conditional Formatting applies specific formatting to cells that meet criteria to draw attention to important data.
The document contains interview questions and answers for an SQL Server database administrator position. It includes questions about improving query performance, resolving deadlocks, blocking troubleshooting, database backup types, database isolation levels, creating schemas and cursors, and database architecture. Key points covered are the wait for graph deadlock detection method, types of database backups, isolation levels, how to create schemas and dynamic/scrollable cursors, and the basic architecture of SQL Server databases. More interview questions and answers can be found at the provided link.
SQL Database Performance Tuning for DevelopersBRIJESH KUMAR
1. The document provides SQL performance tuning techniques for developers, including proper use of indexes, avoiding coding loops, and temporary tables.
2. It also discusses how developers and database administrators (DBAs) can work together effectively through improved communication, understanding different roles, and establishing processes for testing and changes.
3. Tips for both parties include being patient, providing database status updates, helping with testing, and planning for future migrations.
DB2 uses a multithreaded architecture with processes and execution demand units (EDUs) to improve performance. The DB2 process model includes client programs, communication listeners that clients first contact, three types of agents (idle, coordinator, sub-agents) that are managed in an agent pool, and important database EDUs like prefetchers and page cleaners. Key configuration parameters related to the process model include the number of agents in the pool, number of coordinating agents, and number of I/O cleaners and servers per database.
The document discusses using PHP to connect to and manipulate MySQL databases. It covers using MySQLi and PDO to connect to MySQL from PHP, and provides examples of inserting, selecting, updating, and deleting data from MySQL databases using PDO commands. Key points include that PDO can work with multiple database types while MySQLi only works with MySQL, and that both support prepared statements to protect against SQL injection.
This document provides an overview of SQL Server 2005 memory management. It discusses how SQL Server interacts with the Windows operating system for physical memory allocation and uses a virtual address space. The buffer pool is used to cache database pages in memory. SQL Server uses memory clerks to allocate memory for different components and will free memory from clerks in response to low memory conditions reported by the resource monitor.
This document provides an overview of the basic architecture and terminology of SQL Server. It discusses the three main components: 1) the relational engine, which handles query processing, memory management, and other tasks; 2) the storage engine, which manages storage and retrieval of data to disk in the form of data files and log files; and 3) the SQL operating system, which acts as an interface between SQL Server and the host machine's operating system, handling services like memory management. The document serves as an introduction to SQL Server architecture for beginners by defining common terminology.
DB2 manages memory at four levels: database instance memory, database global memory, application global memory, and agent private memory. Database instance memory is used for instance-level tasks and is allocated when DB2 starts. Database global memory is allocated for each database and is used for backup, locking, and SQL execution. Application global memory coordinates messages between DB2 agents working for an application. Agent private memory is used by agents to perform tasks like building query plans, executing queries, and sorting. The amount of memory for each level is determined by configuration parameters that are usually set automatically.
This presentation is related to nosql database and nosql database types information. this presentationa also contains discussion about, how mongodb works and mongodb security and mongodb sharding information.
The document discusses Entourage Repair software that can be used to repair corrupted Microsoft Entourage databases and recover lost emails, contacts, tasks, and other data. It provides background on how Entourage databases can become corrupted, symptoms of corruption, and steps that can be taken to repair the database. The Entourage Repair software allows previewing recoverable data and recovers it with a simple three-step process.
DB2 architecture includes databases, the database configuration file, tablespaces, buffer pools, and log files. Databases are independent collections of objects like tables and indexes. The database configuration file defines database properties. Tablespaces are logical storage areas for tables, and the default tablespaces are SYSCATSPACE, TEMPSPACE1, and USERSPACE1. Buffer pools in memory improve query performance by caching table data and logs record all database operations for recovery.
The document provides an overview of database fundamentals including what a database is, relational databases, primary keys, foreign keys, advantages of relational databases, data warehousing, active data warehousing, and Teradata. Key points include:
- A database is a collection of logically related and shared data that is protected and managed.
- A relational database consists of related tables with rows and columns. Primary keys uniquely identify rows and foreign keys define relationships between tables.
- Relational databases are easy to use, understand, and allow for flexible responses to changing business needs.
- A data warehouse contains extracted and consolidated data from operational systems for analysis and reporting.
- Active data warehousing provides timely access
Easy to use (relative to other systems –Oracle may require one FTE to maintain the server as a database administrator and another FTE to serve as an application developer).
The document provides an introduction to database management systems and their components. It discusses that a database is a collection of related data representing some aspect of the real world. A database management system (DBMS) allows users to define, construct, manipulate and share databases. The key functions of a DBMS include data definition, data storage, data manipulation such as querying and updating, and sharing data among multiple users. The document also provides examples of database systems and their typical components such as utilities, tools, and centralized and client/server architectures.
1) Database systems provide several key advantages over file-based systems, including controlling redundancy, restricting unauthorized access, and representing complex relationships among data. They allow data to be stored logically in one place while supporting multiple views.
2) A DBMS allows defining data structures, manipulating and sharing databases for applications. It provides facilities for backup/recovery and enforcing integrity constraints.
3) A database administrator is responsible for authorizing access, coordinating use, and acquiring resources for the database and DBMS. Their role is to oversee the primary resource of the database and secondary resources of related software.
If your files get deleted due to the occurrence of the disk is unreadable error then you can easily access the files by using Macbook data recovery software.
Ms sql database repair software repairs corrupt, damaged sql database mdf files and also recovers deleted database files in all cases. It effectively repairs mssql database, when DBCC CHECKDB fails to do so.
This document provides a sample database design methodology using MS SQL Server 2017. It discusses concepts such as database creation, filegroups, files, tables, indexes, and storage considerations. Sample T-SQL scripts are provided to demonstrate how to create a database called "DB_SAMPLE_2017" that includes filegroups, files, a customers table with a primary key and blob field, and a non-clustered index on the SSN field. The document is intended to explain basic database design concepts in a concise manner.
The document discusses information system architecture, data structures, data analysis, data validation, and database management systems. It provides examples of common data structures like arrays and linked lists. It also describes different methods of data validation such as format checks, range checks, and uniqueness checks. Finally, it outlines key features of database management systems including querying, backup and replication, rule enforcement, and security.
This document provides information about databases and how to use OpenOffice Base. It discusses:
1) How databases work by centralizing data in one location so all applications can access the same updated information.
2) The advantages of databases like reducing data redundancy, controlling inconsistencies, and facilitating data sharing.
3) The differences between flat and relational databases and that OpenOffice Base is a relational database management system (RDBMS).
4) The basic functions of OpenOffice Base including creating tables, setting primary keys, opening existing databases, and writing queries.
Save and Save As commands allow users to save files. Save saves the file with the original name and location, while Save As allows saving with a new name or in a new location. Cut and Delete are commands that remove content from a document - Cut removes and saves to the clipboard while Delete permanently removes without saving. Conditional Formatting applies specific formatting to cells that meet criteria to draw attention to important data.
The document contains interview questions and answers for an SQL Server database administrator position. It includes questions about improving query performance, resolving deadlocks, blocking troubleshooting, database backup types, database isolation levels, creating schemas and cursors, and database architecture. Key points covered are the wait for graph deadlock detection method, types of database backups, isolation levels, how to create schemas and dynamic/scrollable cursors, and the basic architecture of SQL Server databases. More interview questions and answers can be found at the provided link.
SQL Database Performance Tuning for DevelopersBRIJESH KUMAR
1. The document provides SQL performance tuning techniques for developers, including proper use of indexes, avoiding coding loops, and temporary tables.
2. It also discusses how developers and database administrators (DBAs) can work together effectively through improved communication, understanding different roles, and establishing processes for testing and changes.
3. Tips for both parties include being patient, providing database status updates, helping with testing, and planning for future migrations.
DB2 uses a multithreaded architecture with processes and execution demand units (EDUs) to improve performance. The DB2 process model includes client programs, communication listeners that clients first contact, three types of agents (idle, coordinator, sub-agents) that are managed in an agent pool, and important database EDUs like prefetchers and page cleaners. Key configuration parameters related to the process model include the number of agents in the pool, number of coordinating agents, and number of I/O cleaners and servers per database.
The document discusses using PHP to connect to and manipulate MySQL databases. It covers using MySQLi and PDO to connect to MySQL from PHP, and provides examples of inserting, selecting, updating, and deleting data from MySQL databases using PDO commands. Key points include that PDO can work with multiple database types while MySQLi only works with MySQL, and that both support prepared statements to protect against SQL injection.
This document provides an overview of SQL Server 2005 memory management. It discusses how SQL Server interacts with the Windows operating system for physical memory allocation and uses a virtual address space. The buffer pool is used to cache database pages in memory. SQL Server uses memory clerks to allocate memory for different components and will free memory from clerks in response to low memory conditions reported by the resource monitor.
This document provides an overview of the basic architecture and terminology of SQL Server. It discusses the three main components: 1) the relational engine, which handles query processing, memory management, and other tasks; 2) the storage engine, which manages storage and retrieval of data to disk in the form of data files and log files; and 3) the SQL operating system, which acts as an interface between SQL Server and the host machine's operating system, handling services like memory management. The document serves as an introduction to SQL Server architecture for beginners by defining common terminology.
DB2 manages memory at four levels: database instance memory, database global memory, application global memory, and agent private memory. Database instance memory is used for instance-level tasks and is allocated when DB2 starts. Database global memory is allocated for each database and is used for backup, locking, and SQL execution. Application global memory coordinates messages between DB2 agents working for an application. Agent private memory is used by agents to perform tasks like building query plans, executing queries, and sorting. The amount of memory for each level is determined by configuration parameters that are usually set automatically.
This presentation is related to nosql database and nosql database types information. this presentationa also contains discussion about, how mongodb works and mongodb security and mongodb sharding information.
The document discusses Entourage Repair software that can be used to repair corrupted Microsoft Entourage databases and recover lost emails, contacts, tasks, and other data. It provides background on how Entourage databases can become corrupted, symptoms of corruption, and steps that can be taken to repair the database. The Entourage Repair software allows previewing recoverable data and recovers it with a simple three-step process.
DB2 architecture includes databases, the database configuration file, tablespaces, buffer pools, and log files. Databases are independent collections of objects like tables and indexes. The database configuration file defines database properties. Tablespaces are logical storage areas for tables, and the default tablespaces are SYSCATSPACE, TEMPSPACE1, and USERSPACE1. Buffer pools in memory improve query performance by caching table data and logs record all database operations for recovery.
The document provides an overview of database fundamentals including what a database is, relational databases, primary keys, foreign keys, advantages of relational databases, data warehousing, active data warehousing, and Teradata. Key points include:
- A database is a collection of logically related and shared data that is protected and managed.
- A relational database consists of related tables with rows and columns. Primary keys uniquely identify rows and foreign keys define relationships between tables.
- Relational databases are easy to use, understand, and allow for flexible responses to changing business needs.
- A data warehouse contains extracted and consolidated data from operational systems for analysis and reporting.
- Active data warehousing provides timely access
Easy to use (relative to other systems –Oracle may require one FTE to maintain the server as a database administrator and another FTE to serve as an application developer).
The document provides an introduction to database management systems and their components. It discusses that a database is a collection of related data representing some aspect of the real world. A database management system (DBMS) allows users to define, construct, manipulate and share databases. The key functions of a DBMS include data definition, data storage, data manipulation such as querying and updating, and sharing data among multiple users. The document also provides examples of database systems and their typical components such as utilities, tools, and centralized and client/server architectures.
1) Database systems provide several key advantages over file-based systems, including controlling redundancy, restricting unauthorized access, and representing complex relationships among data. They allow data to be stored logically in one place while supporting multiple views.
2) A DBMS allows defining data structures, manipulating and sharing databases for applications. It provides facilities for backup/recovery and enforcing integrity constraints.
3) A database administrator is responsible for authorizing access, coordinating use, and acquiring resources for the database and DBMS. Their role is to oversee the primary resource of the database and secondary resources of related software.
Unit 1: Introduction to DBMS Unit 1 CompleteRaj vardhan
This document discusses database management systems (DBMS) and their advantages over traditional file-based data storage. It describes the key components of a DBMS, including the hardware, software, data, procedures, and users. It also explains the three levels of abstraction in a DBMS - the physical level, logical level, and view level - and how they provide data independence. Finally, it provides an overview of different data models like hierarchical, network, and relational models.
This document discusses backup and recovery of SQL Server databases. It explains that there are three types of database backups: full, differential, and transaction log backups. It provides steps for creating a full database backup and restoring from a backup. Backups protect from data loss due to failures like hardware issues, user errors, or disasters. However, backups require storage space and recovery is only possible from the last full backup. Regular backups are important for database administration and disaster recovery.
This document discusses database management systems (DBMS) and their components. It describes DBMS as a set of programs that allow for the storage and retrieval of data. It then discusses the key components of a DBMS including the physical, logical, and view levels of abstraction, data models, data independence, data definition and manipulation languages like SQL, and the roles of database administrators and users. The document provides an overview of the architecture and design of database systems.
1. The document discusses the components and overall structure of a database management system (DBMS). It describes the various levels of database architecture including the physical, logical, and external levels.
2. The key components of a DBMS include users, a query processor, storage manager, and data structures. The query processor consists of a DML compiler, DDL interpreter, and query evaluation engine. The storage manager includes modules for authorization, transactions, file management, and buffering.
3. Data models help represent the design of a database and describe entities, attributes, relationships, and constraints. Common models include the entity-relationship model and object-oriented model.
This document provides an overview of database management systems (DBMS). It defines a database as an organized collection of data that can be queried and updated. A DBMS is software that manages databases and allows data to be shared between applications. Key advantages of DBMS include improved data sharing, security, and avoidance of inconsistencies. Common applications of DBMS include banking systems, online shopping, and social media sites.
This document summarizes key points from a presentation on SQL Server tips and best practices. It discusses the importance of database performance and speed, providing tips on identifying and addressing bottlenecks. It also covers backups and disaster recovery, explaining the differences and best approaches. New features in SQL Server 2017 are highlighted, including AlwaysOn availability groups and machine learning services. The conclusion emphasizes that SQL Server can be optimized to provide a solid foundation for businesses when treated properly.
Backing up Microsoft Great Plains / Microsoft Dynamics GPHandy_Backup
To back up data created or changed by Great Plains, the third-party software utility must have an automated
access to such data types as MS SQL databases and different files and folders containing user data. Handy
Backup provides these features, allowing fully automated Great Plains data backup.
- DBMS stands for Database Management System and is a collection of interrelated data and a set of programs used to access, update, and manage the data. The goal of a DBMS is to provide an environment that is convenient and efficient for retrieving, storing, and manipulating data.
- A database schema represents the logical structure of a database and includes information about the database's tables, fields, relationships, and data types. A database instance is a snapshot of the data stored in a database at a particular point in time.
- There are three levels of data abstraction: the physical level describes how data is physically stored, the logical level describes the logical relationships and structure of data, and the view level describes how different
The document discusses the components and advantages of a database management system (DBMS). It identifies the major components of a DBMS as software, hardware, data, procedures, and users. It then describes each component in detail. The document also discusses 14 key advantages of using a DBMS compared to traditional file-based systems, such as controlling data redundancy and inconsistency, enabling data sharing, integration and security, and providing capabilities like atomic transactions, querying, reporting and backup/recovery.
MySQL Enterprise Backup - BnR ScenariosKeith Hollman
A quick intro of what MEB is, but then a more hands-on approach to how to backup MySQL, what options are available and then how to restore accordingly.
This document provides an overview of database management systems (DBMS). It discusses the history and evolution of DBMS, including early systems from the 1960s and advances in the 1980s with SQL. It also defines key DBMS concepts like data, information, metadata, and the three-level DBMS architecture. Additionally, it covers DBMS functions, the role of the database administrator, data independence, and examples of conceptual and physical database models.
This document discusses database backup and recovery strategies in Oracle. It covers different types of backups including logical, physical, online and offline backups. It emphasizes the importance of backups for recovery purposes. Different failure scenarios are described such as statement failure, user process failure, user error, instance failure and media failure. The roles of logical backups using Export and archiving redo logs are explained. Considerations for backup strategies include business needs, availability requirements, transaction volumes and read-only tablespaces. Testing backups is recommended to ensure recovery success.
This document discusses database backup strategies and introduces MySQL Enterprise Backup. It begins by defining common backup terms like online, incremental, and full backups. It then discusses assessing backup needs based on recovery point and time objectives. The document reviews different backup methods like full, incremental, and combining with log backups. It also discusses factors for determining a backup strategy like data change frequency and value. Finally, it introduces MySQL Enterprise Backup as providing online, compressed backups with low performance impact.
1. The document discusses database management systems (DBMS) and provides examples of common database applications like banking, airlines, universities, and more.
2. It then gives examples of university database applications like adding students/courses, registering for classes, assigning grades, and more.
3. Early database applications were built directly on file systems, but DBMS provides advantages like data integrity, security, transaction control, concurrent access, and independence from physical storage.
This document discusses database backup and recovery. It defines backup as additional copies of data for restoration if the primary copy is lost or corrupted. There are several types of backups including full, incremental, differential, and mirror backups. Recovery brings the database back to a prior consistent state, using techniques like log files, check pointing, and immediate or deferred transaction updates. Factors like backup location, test restores, automation, and database design can influence recovery duration. Alternatives to traditional backup and recovery include standby databases, replication, and disk mirroring.
The document discusses database backup and recovery strategies in Oracle. It covers the different types of backups including logical, physical offline ("cold") backups, and physical online ("hot") backups. It also discusses archiving redo logs, testing backup strategies, and implications of backup methods like downtime required and recovery time. Failure scenarios like statement failure, user process failure, user error, instance failure, and media failure are also summarized. Finally, it discusses logical backups using the Oracle Export utility and parameters that can be passed to it.
SQL Server 2017 - Mejoras Impulsadas por la ComunidadJavier Villegas
Con SQL Sever 2017 Microsoft incorpora nuevas funcionalidades propuestas por la comunidad de profesionales de Data Platform, hablaremos acerca de las mismas así como también sobre las funcionalidades más destacadas de la próxima versión de SQL
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics