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In this session, we provide an overview of the PostgreSQL options available on AWS, and do a deep dive on Amazon Relational Database Service (Amazon RDS) for PostgreSQL, a fully managed PostgreSQL service, and Amazon Aurora, a PostgreSQL-compatible database with up to 3x the performance of standard PostgreSQL. Learn about the features, functionality, and many innovations in Amazon RDS and Aurora, which give you the background to choose the right service to solve different technical challenges, and the knowledge to easily move between services as your requirements change over time.
Deep Dive on PostgreSQL Databases on Amazon RDS (DAT324) - AWS re:Invent 2018
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Oracle Recovery Manager (Oracle RMAN) has evolved since being released in version 8i. With the newest version of Oracle 12c , RMAN has great new features that will allow you to reduce your down time in case of a disaster. In this session you will learn about the new features that were introduced in Oracle 12c and how can you take advantage of them from the first day you upgrade to this version.
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In this session, we provide an overview of the PostgreSQL options available on AWS, and do a deep dive on Amazon Relational Database Service (Amazon RDS) for PostgreSQL, a fully managed PostgreSQL service, and Amazon Aurora, a PostgreSQL-compatible database with up to 3x the performance of standard PostgreSQL. Learn about the features, functionality, and many innovations in Amazon RDS and Aurora, which give you the background to choose the right service to solve different technical challenges, and the knowledge to easily move between services as your requirements change over time.
Deep Dive on PostgreSQL Databases on Amazon RDS (DAT324) - AWS re:Invent 2018
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Some companies have to process data volumes that by far exceed the capacity of “small” database clusters and they definitely have a valid use case for one of the modern parallelizing / streaming / big data processing technologies. For all others, expressing transformations in plain SQL is just fine and PostgreSQL is the perfect workhorse for that purpose. In this talk, I will go through some of our best practices for building fast, robust, and tested data integration pipelines inside PostgreSQL. I will explain many of our technical patterns, for example for schema management or for splitting large computations by chunking and table partitioning. And I will show how to apply standard software engineering techniques to maintain agility, consistency, and correctness. Video: http://www.ustream.tv/recorded/109227465
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Oracle Recovery Manager (Oracle RMAN) has evolved since being released in version 8i. With the newest version of Oracle 12c , RMAN has great new features that will allow you to reduce your down time in case of a disaster. In this session you will learn about the new features that were introduced in Oracle 12c and how can you take advantage of them from the first day you upgrade to this version.
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My talk for "MySQL, MariaDB and Friends" devroom at Fosdem on February 2, 2019 Born in 2010 in MySQL 5.5.3 as "a feature for monitoring server execution at a low level," grown in 5.6 times with performance fixes and DBA-faced features, in MySQL 5.7 Performance Schema is a mature tool, used by humans and more and more monitoring products. It becomes more popular over the years. In this talk I will give an overview of Performance Schema, focusing on its tuning, performance, and usability. Performance Schema helps to troubleshoot query performance, complicated locking issues, memory leaks, resource usage, problematic behavior, caused by inappropriate settings and much more. It comes with hundreds of options which allow precisely tune what to instrument. More than 100 consumers store collected data. Performance Schema is a potent tool. And very complicated at the same time. It does not affect performance in most cases and can slow down server dramatically if configured without care. It collects a lot of data, and sometimes this data is hard to read. This talk will start from the introduction of how Performance Schema designed, and you will understand why it slowdowns server in some cases and does not affect your queries in others. Then we will discuss which information you can retrieve from Performance Schema and how to do it effectively. I will cover its companion sys schema and graphical monitoring tools.
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Relational databases were conceived to digitize paper forms and automate well-structured business processes, and still have their uses. But RDBMS cannot model or store data and its relationships without complexity, which means performance degrades with the increasing number and levels of data relationships and data size. Additionally, new types of data and data relationships require schema redesign that increases time to market. A native graph database like Neo4j naturally stores, manages, analyzes, and uses data within the context of connections meaning Neo4j provides faster query performance and vastly improved flexibility in handling complex hierarchies than SQL.
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Galera Cluster is a mainstream option for high availability MySQL and MariaDB. And though it has established itself as a credible replacement for traditional MySQL master-slave architectures, it is not a drop-in replacement. While Galera Cluster has some characteristics that make it unsuitable for certain use cases, most applications can still be adapted to run on it. The benefits are clear: multi-master InnoDB setup with built-in failover and read scalability. But how do you migrate? Does the schema or application change? What are the limitations? Can a migration be done online, without service interruption? What are the potential risks? In this webinar, Severalnines Support Engineer Bart Oles walks you through what you need to know in order to migrate from standalone or a master-slave MySQL/MariaDB setup to Galera Cluster. AGENDA - Application use cases for Galera - Schema design - Events and Triggers - Query design - Migrating the schema - Load balancer and VIP - Loading initial data into the cluster - Limitations: - Cluster technology - Application vendor support - Performing Online Migration to Galera - Operational management checklist - Belts and suspenders: Plan B - Demo SPEAKER Bartlomiej Oles is a MySQL and Oracle DBA, with over 15 years experience in managing highly available production systems at IBM, Nordea Bank, Acxiom, Lufthansa, and other Fortune 500 companies. In the past five years, his focus has been on building and applying automation tools to manage multi-datacenter database environments.
Webinar slides: Migrating to Galera Cluster for MySQL and MariaDB
Webinar slides: Migrating to Galera Cluster for MySQL and MariaDB
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This presentation reviews the following: Why Postgres? ACID-compliance and security for managing health records How Amazon Web Services enables HIPAA compliance How EnterpriseDB's Postgres Plus Cloud Database provides security and management of Protected Health Information (PHI) and auditing and reporting capabilities. A brief overview of Postgres and EDB's database solutions To listen to the recording of this presentatation, visit EnterpriseDB > Resources > Webcasts > Ondemand. If you have any questions please email sales@enterprisedb.com.
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Odoo is one of the most popular open source software. This means you can simple use it free of cost. In this guide, I am going to provide you steps how to use HR module in Odoo.
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Odoo (OpenERP) User Manual - Human Resource
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Yahoo! is one of the most-visited web sites in the world. It runs one of the largest private cloud infrastructures, one that operates on petabytes of data every day. Being able to store and manage that data well is essential to the efficient functioning of Yahoo!`s Hadoop clusters. A key component that enables this efficient operation is data compression. With regard to compression algorithms, there is an underlying tension between compression ratio and compression performance. Consequently, Hadoop provides support for several compression algorithms, including gzip, bzip2, Snappy, LZ4 and others. This plethora of options can make it difficult for users to select appropriate codecs for their MapReduce jobs. This paper attempts to provide guidance in that regard. Performance results with Gridmix and with several corpuses of data are presented. The paper also describes enhancements we have made to the bzip2 codec that improve its performance. This will be of particular interest to the increasing number of users operating on “Big Data” who require the best possible ratios. The impact of using the Intel IPP libraries is also investigated; these have the potential to improve performance significantly. Finally, a few proposals for future enhancements to Hadoop in this area are outlined.
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Compression Options in Hadoop - A Tale of Tradeoffs
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Sergei Petrunia and Varun Gupta, software engineers MariaDB, show how histograms can be used to improve query performance. They begin by introducing histrograms and explaining why they’re needed by the query optimizer. Next, they discuss how to determine whether or not histrograms are needed, and if so, how to determine which tables and columns they should be applied. Finally, they cover best practices and recent improvements to histograms.
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Qaseeda Burda Tarjama Urdu Muhammad Munir Afzal, Qaseeda, qasida, qaseeda burda, burda shareef, Qaseeda burda urdu tajama , Translation of qaseeda burda,Al burda, قصیدۃ البردۃ، قصیدۃ بردۃ شریف،
Qaseeda burda tarjama urdu muhammad munir afzal
Qaseeda burda tarjama urdu muhammad munir afzal
Muhammad Tariq
Handling Schema changes in productions is a tedious job and can cause locking , But it can be avoided by Percona Online schema change.
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Mydbops
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Practical Partitioning in Production with Postgres
Practical Partitioning in Production with Postgres
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The future awaits those prepared to navigate the path of exponential change. This survival guide is a gift freely given. Please feel free to use it to deliver a message to your CEO.
survival-guide.pptx
survival-guide.pptx
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Road to NODES - Healthcare Analytics
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Migrating from InnoDB and HBase to MyRocks at Facebook
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Graph Database Meetup in Korea #4. Graph Database Usecases based on Graph Theory (그래프 이론을 적용한 그래프 데이터베이스 활용 사례) 국내 유일 그래프 데이터베이스 연구 개발 전문 기업, <비트나인> 주최로 진행된 그래프 데이터베이스 밋업(Meetup) 4번째! "그래프 이론을 적용한 그래프 데이터데이터베이스 활용 사례_ 그래프 이론 및 그래프 알고리즘 소개" 입니다. 10가지 그래프 이론 소개 및 활용 사례를 소개 드렸습니다. 발표자료를 통해 그래프 데이터베이스의 다양한 활용 사례를 확인해 보시기 바랍니다. :) AgensGraph는 고객의 DB 수집 및 가공을 통한 저장/관리부터, 분석하여 시각화를 통한 구현 목표 기능과의 연동까지! "데이터 흐름의 모든 영역"에서 서비스를 제공하고 있습니다. ☞ 발표 영상 보러가기: https://www.youtube.com/playlist?list=PLGp3huJbWNDhQT4aBCS13udGhYnIc1GnO ☞ 밋업 참가 신청 하러가기: https://www.meetup.com/ko-KR/graphdatabase/ ☞ 이메일 문의: hnkim@bitnine.net ☞ 그래프 데이터베이스 솔루션 AgensGraph 직접 사용해 보기: https://bitnine.net/
Graph Database Meetup in Korea #4. 그래프 이론을 적용한 그래프 데이터베이스 활용 사례
Graph Database Meetup in Korea #4. 그래프 이론을 적용한 그래프 데이터베이스 활용 사례
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Relational databases were conceived to digitize paper forms and automate well-structured business processes, and still have their uses. But RDBMS cannot model or store data and its relationships without complexity, which means performance degrades with the increasing number and levels of data relationships and data size. Additionally, new types of data and data relationships require schema redesign that increases time to market. A native graph database like Neo4j naturally stores, manages, analyzes, and uses data within the context of connections meaning Neo4j provides faster query performance and vastly improved flexibility in handling complex hierarchies than SQL.
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Galera Cluster is a mainstream option for high availability MySQL and MariaDB. And though it has established itself as a credible replacement for traditional MySQL master-slave architectures, it is not a drop-in replacement. While Galera Cluster has some characteristics that make it unsuitable for certain use cases, most applications can still be adapted to run on it. The benefits are clear: multi-master InnoDB setup with built-in failover and read scalability. But how do you migrate? Does the schema or application change? What are the limitations? Can a migration be done online, without service interruption? What are the potential risks? In this webinar, Severalnines Support Engineer Bart Oles walks you through what you need to know in order to migrate from standalone or a master-slave MySQL/MariaDB setup to Galera Cluster. AGENDA - Application use cases for Galera - Schema design - Events and Triggers - Query design - Migrating the schema - Load balancer and VIP - Loading initial data into the cluster - Limitations: - Cluster technology - Application vendor support - Performing Online Migration to Galera - Operational management checklist - Belts and suspenders: Plan B - Demo SPEAKER Bartlomiej Oles is a MySQL and Oracle DBA, with over 15 years experience in managing highly available production systems at IBM, Nordea Bank, Acxiom, Lufthansa, and other Fortune 500 companies. In the past five years, his focus has been on building and applying automation tools to manage multi-datacenter database environments.
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Webinar slides: Migrating to Galera Cluster for MySQL and MariaDB
Severalnines
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Odoo is one of the most popular open source software. This means you can simple use it free of cost. In this guide, I am going to provide you steps how to use HR module in Odoo.
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Sergei Petrunia and Varun Gupta, software engineers MariaDB, show how histograms can be used to improve query performance. They begin by introducing histrograms and explaining why they’re needed by the query optimizer. Next, they discuss how to determine whether or not histrograms are needed, and if so, how to determine which tables and columns they should be applied. Finally, they cover best practices and recent improvements to histograms.
How to use histograms to get better performance
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Practical Partitioning in Production with Postgres
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