The document discusses how MySQL Cluster delivers the best of both NoSQL and relational database worlds. It provides NoSQL attributes like scale-out, performance, ease-of-use and schema flexibility through APIs while also offering ACID transactions and SQL capabilities. MySQL Cluster achieves this by using a shared-nothing architecture with data distributed across commodity hardware and replicated for high availability, allowing it to scale horizontally.
Choosing a Next Gen Database: the New World Order of NoSQL, NewSQL, and MySQLScaleBase
In this webinar Matt Aslett of 451 Research joins ScaleBase to discuss the benefits and drawbacks of NoSQL, NewSQL & MySQL databases and explores real-life use cases for each.
Introduction to MySQL, and its features with an explanation of the various processes that should be followed in order to have an efficient MySQL implementation.
The document discusses MySQL NDB 8.0 and high availability solutions for MySQL. It summarizes MySQL NDB Cluster, MySQL InnoDB Cluster, and MySQL Replication as high availability solutions. It also discusses features and performance of MySQL NDB Cluster 8.0, including linear scalability, predictable low-latency performance, and improved backup throughput.
From Nice to Have to Mission Critical: MySQL Enterprise Edition郁萍 王
This document outlines an agenda for a presentation on MySQL Enterprise Edition. The agenda includes an introduction to MySQL, discussing data in the modern enterprise, an overview of MySQL Enterprise Edition, Oracle product integrations and certifications, opportunities for learning more, and a question and answer session. It also includes a safe harbor statement indicating the product direction outlines are for information purposes only and not binding commitments.
Design Patterns for Distributed Non-Relational Databasesguestdfd1ec
The document discusses design patterns for distributed non-relational databases, including consistent hashing for key placement, eventual consistency models, vector clocks for determining history, log-structured merge trees for storage layout, and gossip protocols for cluster management without a single point of failure. It raises questions to ask presenters about scalability, reliability, performance, consistency models, cluster management, data models, and real-life considerations for using such systems.
Cassandra nyc 2011 ilya maykov - ooyala - scaling video analytics with apac...ivmaykov
This document discusses scaling video analytics using Apache Cassandra. It provides an overview of Ooyala's video analytics platform and the challenges of scaling to support billions of log pings and terabytes of data daily. Cassandra is used to store over 10 terabytes of historical analytics data covering 4 years of growth. The key challenges addressed are scaling to handle enormous data volumes, providing fast processing and query speeds, supporting deep queries over many dimensions of data, ensuring accuracy, and allowing for rapid developer iteration. The document explains how Cassandra's data model and capabilities help meet these challenges through features like linear scalability, tunable consistency, and a rich data model.
MySQL Enterprise Backup provides fast, consistent, online backups of MySQL databases. It allows for backing up InnoDB and MyISAM tables while the database is running, minimizing downtime. The tool takes physical backups of the data files rather than logical backups, allowing for very fast restore times compared to alternatives like mysqldump. It supports features like compressed backups, incremental backups, and point-in-time recovery.
DataStax C*ollege Credit: What and Why NoSQL?DataStax
In the first of our bi-weekly C*ollege Credit series Aaron Morton, DataStax MVP for Apache Cassandra and Apache Cassandra committer and Robin Schumacher, VP of product management at DataStax, will take a look back at the history of NoSQL databases and provide a foundation of knowledge for people looking to get started with NoSQL, or just wanting to learn more about this growing trend. You will learn how to know that NoSQL is right for your application, and how to pick a NoSQL database. This webinar is C* 101 level.
Clustrix is the leading scale-out SQL database engineered for the cloud. With Clustrix, you can scale transaction throughput, run real-time analytics and simplify operations.
Trusted advisory on technology comparison --exadata, hana, db2Ajay Kumar Uppal
- SAP HANA is a column-oriented, in-memory database that promises performance gains of up to 100,000x over traditional databases and enables new real-time use cases. Its appliance model reduces costs by simplifying infrastructure requirements. However, it requires new extreme main memory hardware and has limitations for high availability, disaster recovery, and virtualization initially.
- Oracle Exadata is an optimized hardware and software appliance for Oracle Database that scales to hundreds of terabytes. It provides fast performance through SSD caching and compression but does not have a true column-oriented architecture. Additional products like TimesTen and Essbase are needed for optimal OLAP support.
- IBM DB2 with BLU extension provides query acceleration for OL
C* Summit 2013: Searching for a Needle in a Big Data Haystack by Jason Ruther...DataStax Academy
The presentation demonstrates how Solr may be used to create real-time analytics applications. In addition, Datastax Enterprise 3.0 will be showcased, which offers Solr version 4.0 with a number of improvements over the previous DSE release. A realtime financial application will run for the audience, and then a detailed look at how the application was built. An overview of Datastax Enterprise Solr features will be given, and how the many enhancements in DSE make it unique in the marketplace.
This document provides an overview of MySQL high availability solutions including InnoDB Cluster and NDB Cluster. InnoDB Cluster allows setting up a highly available MySQL cluster with auto-sharding using Group Replication and MySQL Router for transparent application routing. NDB Cluster is a memory-optimized database for low-latency applications requiring high scalability and availability. MySQL Shell provides a unified interface for deploying, managing and monitoring these MySQL HA solutions.
This document discusses two high availability solutions for MySQL: InnoDB Cluster and NDB Cluster. InnoDB Cluster provides high availability using MySQL 5.7+ features like Group Replication and allows for read scalability and application failover using MySQL Router. NDB Cluster uses an in-memory database with automatic sharding and native high availability features in the NDB storage engine. The document compares the two solutions and outlines some of their key differences like consistency models, sharding capabilities, and operational complexity.
VMworld 2013: Virtualizing Databases: Doing IT Right VMworld
VMworld 2013
Michael Corey, Ntirety, Inc
Jeff Szastak, VMware
Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare
FOSDEM 2015 - NoSQL and SQL the best of both worldsAndrew Morgan
This document discusses the benefits and limitations of both SQL and NoSQL databases. It argues that while NoSQL databases provide benefits like simple data formats and scalability, relying solely on them can result in data duplication and inconsistent data when relationships are not properly modeled. The document suggests that MySQL Cluster provides a hybrid approach, allowing both SQL queries and NoSQL interfaces while ensuring ACID compliance and referential integrity through its transactional capabilities and handling of foreign keys.
Galaxy Big Data with MariaDB 10 by Bernard Garros, Sandrine Chirokoff and Stéphane Varoqui.
Presented 26.6.2014 at the MariaDB Roadshow in Paris, France.
The document describes Oracle Exadata Version 2, which is positioned as the world's fastest machine for online transaction processing (OLTP). Version 2 features faster CPUs, networking, disks, and flash storage compared to Version 1. It provides extreme performance for random I/O workloads through its use of solid-state drive (SSD) flash memory caches. Customers saw performance improvements of 10-72x on their queries with Exadata compared to previous systems.
During this presentation, Craig Silviera, WW Director of Field Engineering described the steps to take to dramatically reduce your IT infrastructure costs when you make the switch from Oracle.
Craig provided actionable steps to:
• Identify the right applications to migrate
• Easily and safely migrate your applications
• Leverage resources before, during and after your migration
To learn more about migrating your database from Oracle to Postgres,
please email info@enterprisedb.com and someone will follow up with you asap.
MySQL Cluster 7.2 e 7.3 - por Andrew MorganMySQL Brasil
Uma visão geral dada por Andrew Morgan, gerente de produto do MySQL Cluster. Aborada a versão atual 7.2 (GA) e na próxima versão 7.3 (Development Milestone Release), além do roadmap para versões futuras.
Developing high-throughput services with no sql ap-is to innodb and mysql clu...Andrew Morgan
Ever-increasing performance demands of Web-based services have generated significant interest in providing NoSQL access methods to MySQL (MySQL Cluster from Oracle and the InnoDB storage engine of MySQL), enabling users to maintain all the advantages of their existing relational databases while providing blazing-fast performance for simple queries. Get the best of both worlds: persistence; consistency; rich SQL queries; high availability; scalability; and simple, flexible APIs and schemas for agile development. This session describes the memcached connectors and examines some use cases for how MySQL and memcached fit together in application architectures. It does the same for the newest MySQL Cluster native connector, an easy-to-use, fully asynchronous connector for Node.js.
This document provides an overview of high availability solutions for MySQL databases. It discusses the causes and impacts of downtime, and how to select the right HA solution based on requirements. It then provides a tour of MySQL's HA solutions, including replication, clustering, and MySQL Cluster. Operational best practices for HA are also covered.
This document discusses MySQL high availability. It begins with some questions to consider regarding high availability needs. It then covers key high availability concepts and terms. The main part describes various MySQL high availability solutions, including replication, clustering, heartbeat with replication, DRBD with replication, and shared storage with clustering agents. It concludes by mentioning some additional solutions and resources for MySQL high availability.
This document provides an overview of Google's Megastore database system. It discusses three key aspects: the data model and schema language for structuring data, transactions for maintaining consistency, and replication across datacenters for high availability. The data model takes a relational approach and uses the concept of entity groups to partition data at a fine-grained level for scalability. Transactions provide ACID semantics within entity groups. Replication uses Paxos consensus for strong consistency across datacenters.
When you're handling big data in the modern world, you will come to a point where you can't just pick a “one size fits all” approach anymore. However, to get the results you want, you also don’t have to spend big money on fire breathing hardware, or expensive software. AWS offers a beautiful array of open and commercial database choices, from do-it-yourself to fully managed services which handle scaling, and gives you powerful tools to choose the right architecture. You could choose from MySQL, RDS, Oracle, SQL Server, MongoDB, DynamoDB, Cassandra, ElastiCache, Redis, and SimpleDB, and our customers use them for different use cases. Each has different strengths, and this session highlights when you would want to choose each, with examples of how we use each to solve our big data challenges and why we made those decisions. We profile the some of the choices available to you - MySQL, RDS, Elasticache, Redis, Cassandra, MongoDB and DynamoDB – and three customer case studies on RDS, Elasticache and DynamoDB.
This document discusses NoSQL databases and Hadoop. It begins with an introduction of Tugdual "Tug" Grall, a technical evangelist for Couchbase. It then discusses how the $30B database market is being disrupted by NoSQL technologies. It provides examples of operational and analytic databases like Couchbase, Cassandra, Cloudera, and Hadoop. The main challenges companies face with traditional databases are discussed. Finally, it provides an overview of what Sqoop is and how it transfers data between Hadoop and relational databases.
MySQL Cluster Carrier Grade Edition is a high availability, distributed database solution based on MySQL Cluster. It provides real-time performance with 99.999% uptime through a shared-nothing architecture across up to 255 nodes. Key applications include high-traffic ecommerce sites, telecom subscriber databases, and other systems requiring high scalability and availability.
The document provides an overview of Oracle's strategy and investments related to MySQL and open source technologies. It discusses Oracle's plans to improve performance and scalability in MySQL 5.5 through technologies like the InnoDB storage engine, multiple buffer pools and rollback segments. It also outlines Oracle's vision to make MySQL the leading open source database for web applications and provide world-class development, support and services for MySQL users.
This document discusses SQL and NoSQL approaches to scaling databases. It describes how social networks and other large-scale websites use techniques like sharding and messaging to partition data across many databases. It also discusses how SQL Server is adopting NoSQL paradigms like flexible schemas and federated sharding to provide scalability. The document aims to educate about scaling databases and how SQL Server is evolving to support both SQL and NoSQL approaches.
Accelerating big data with ioMemory and Cisco UCS and NOSQLSumeet Bansal
This document discusses accelerating big data solutions using Oracle NoSQL Database, Cisco UCS, and Fusion-io storage. It provides an overview of big data characteristics and business benefits. It then summarizes Oracle NoSQL Database architecture and how its collaboration with Cisco UCS and Fusion-io storage provides optimized, high-performance solutions. The document outlines performance testing using YCSB that showed the solution can achieve over 1 million operations per second. It also discusses how Fusion-io's software-defined storage architecture provides extreme throughput and low latency.
20140722 Taiwan MySQL User Group Meeting Tech UpdatesRyusuke Kajiyama
This document discusses MySQL and its technology updates. It highlights that MySQL 5.7 provides improved performance and scalability over previous versions, with up to a 2x performance gain shown on benchmarks. It also outlines new features for MySQL products like Workbench 6.1 which adds performance dashboards. MySQL Cluster is mentioned as providing shared-nothing active-active clusters with both SQL and NoSQL access for applications.
Future Proofing MySQL by Robert Hodges, ContinuentEero Teerikorpi
Future-proofing = creating systems that last while parts change and improve. MySQL is not losing out to other solutions for data management. The real problem is using MySQL as a building block with other technologies that are changing rapidly.
Why Every NoSQL Deployment Should Be Paired with Hadoop WebinarCloudera, Inc.
This document discusses how NoSQL databases are well-suited for interactive web applications with large audiences due to their ability to scale out horizontally, while Hadoop is well-suited for analyzing large volumes of data. It provides examples of how NoSQL and Hadoop can work together, with NoSQL serving as a low-latency data store and Hadoop performing batch analysis on the large volumes of data generated by web applications and their users. The document argues that NoSQL and Hadoop address different but complementary challenges and are highly synergistic when used together.
My MySQL and NoSQL presentation from the NoSQL Search event in Copenhagen: http://nosqlroadshow.com/nosql-cph-2013/speaker/Ted+Wennmark
MySQL offers solutions to implement NoSQL concepts like auto-sharding, key-value access or asynchronous operations. This adds all known solutions from the SQL world to the NoSQL space.
The combined approach of SQL and NoSQL gives developers the choice to select whatever features from both worlds they need.
In this talk we take a deeper look at key-value access to MySQL and MySQL Cluster, auto-sharding and scalability of MySQL Cluster, mapping of schemaless key value access to a relational data model and the performance of NoSQL access to MySQL.
Mysql User Camp : 20th June - Mysql New FeaturesTarique Saleem
This document discusses new features in MySQL 5.7 and NoSQL support in MySQL. Some key points:
- MySQL 5.7 includes improvements to InnoDB for better transactional performance and scalability, as well as enhancements to replication, security, and other areas.
- NoSQL support allows direct access to MySQL data via Memcached APIs for simpler and faster key-value access while maintaining ACID guarantees.
- Benchmarks show NoSQL inserts into MySQL can be up to 9x faster than SQL inserts, and MySQL 5.7 can achieve over 1 million queries per second.
Mysql User Camp : 20-June-14 : Mysql New features and NoSQL SupportMysql User Camp
This slide was presented at Mysql User Camp Event on 20-June-14 at Oracle bangalore. This presentation gives a good insight about New Features in Mysql 5.7 DMR 4 and Nosql Support in Mysql.
Get the best out of MySQL Cluster, presentation covers:
- Tuning and optimization to exploit the auto-sharded, distributed design of MySQL Cluster
- Using Adaptive Query Localization to scale cross-shard JOINs
- Data access patterns, schema and query optimizations
- Recommended tuning parameters
Tune in to the on-demand webinar: http://www.mysql.com/news-and-events/on-demand-webinars/display-od-719.html
NuoDB is an elastic SQL database that combines the scale-out capabilities required by cloud applications with the transactional consistency and durability demanded by databases. It uses a distributed, peer-to-peer architecture that allows independent database services to scale elastically while providing a single logical database interface through ANSI SQL. NuoDB provides continuous availability, elastic scalability, and allows SQL applications to be migrated and managed in the cloud.
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This document discusses blockchains and their relationship to the Internet of Things (IoT). It first provides background on Bitcoin and key aspects of blockchain technology like decentralization and immutability. It then explains how blockchains could make financial services faster, safer and cheaper compared to traditional centralized systems. The document outlines core blockchain design principles and how public and enterprise blockchains optimize scalability and consistency while remaining decentralized. It presents examples of implementing enterprise blockchains using a blockchain software stack with layers for applications, the blockchain, and an underlying database. The document argues that MongoDB is well-suited as the database layer due to its scalability, availability, data model flexibility, querying and secondary indexes.
10-Step Methodology to Building a Single View with MongoDBMat Keep
The 10-step methodology provides a repeatable process for building a single view of data from multiple disconnected sources. The steps include defining the scope, identifying data producers and consumers, developing a data model, loading and standardizing the data, merging and reconciling records, designing infrastructure, modifying consuming systems, and implementing maintenance processes. Following this methodology allows organizations to improve business visibility, enable real-time analytics, and provide a foundation for further digital transformation.
This document discusses combining Apache Spark and MongoDB for real-time analytics. It describes how MongoDB provides rich analytics capabilities through queries, aggregations, and indexing. Apache Spark can further extend MongoDB's analytics by offering additional processing capabilities. Together, Spark and MongoDB enable organizations to perform real-time analytics directly on operational data without needing separate analytics infrastructure.
This document discusses how Apache Spark and MongoDB can enable new IoT business models by handling the large amounts of diverse data generated by IoT devices in real-time. It provides examples of how IoT applications are using Spark for streaming, real-time analytics and MongoDB for flexible data storage. Key takeaways are that open source technologies make it easier to experiment with IoT data and unlock value, and that IoT places new demands on being able to process high volumes, velocities and varieties of data flexibly.
This document provides an overview of MongoDB's security architecture and best practices for compliance and data protection. It discusses the evolving data security landscape, regulatory compliance requirements, and how MongoDB implements authentication, authorization, auditing, encryption, and other controls. Specific features covered include roles-based access control, field level redaction, audit logging, network encryption, and integrations with third-party security tools. Resources for learning more about MongoDB security are also listed.
MySQL Cluster 7.2 added support for the Memcached API, enabling web services to directly query MySQL Cluster using the Memcached API, and adding a persistent, scalable, fault tolerant backend to Memcached.
The slides take you through the design concepts and introduce a sample social media app built using memcached and MySQL Cluster
INDIAN AIR FORCE FIGHTER PLANES LIST.pdfjackson110191
These fighter aircraft have uses outside of traditional combat situations. They are essential in defending India's territorial integrity, averting dangers, and delivering aid to those in need during natural calamities. Additionally, the IAF improves its interoperability and fortifies international military alliances by working together and conducting joint exercises with other air forces.
Performance Budgets for the Real World by Tammy EvertsScyllaDB
Performance budgets have been around for more than ten years. Over those years, we’ve learned a lot about what works, what doesn’t, and what we need to improve. In this session, Tammy revisits old assumptions about performance budgets and offers some new best practices. Topics include:
• Understanding performance budgets vs. performance goals
• Aligning budgets with user experience
• Pros and cons of Core Web Vitals
• How to stay on top of your budgets to fight regressions
Are you interested in learning about creating an attractive website? Here it is! Take part in the challenge that will broaden your knowledge about creating cool websites! Don't miss this opportunity, only in "Redesign Challenge"!
Blockchain technology is transforming industries and reshaping the way we conduct business, manage data, and secure transactions. Whether you're new to blockchain or looking to deepen your knowledge, our guidebook, "Blockchain for Dummies", is your ultimate resource.
Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - MydbopsMydbops
This presentation, delivered at the Postgres Bangalore (PGBLR) Meetup-2 on June 29th, 2024, dives deep into connection pooling for PostgreSQL databases. Aakash M, a PostgreSQL Tech Lead at Mydbops, explores the challenges of managing numerous connections and explains how connection pooling optimizes performance and resource utilization.
Key Takeaways:
* Understand why connection pooling is essential for high-traffic applications
* Explore various connection poolers available for PostgreSQL, including pgbouncer
* Learn the configuration options and functionalities of pgbouncer
* Discover best practices for monitoring and troubleshooting connection pooling setups
* Gain insights into real-world use cases and considerations for production environments
This presentation is ideal for:
* Database administrators (DBAs)
* Developers working with PostgreSQL
* DevOps engineers
* Anyone interested in optimizing PostgreSQL performance
Contact info@mydbops.com for PostgreSQL Managed, Consulting and Remote DBA Services
Quantum Communications Q&A with Gemini LLM. These are based on Shannon's Noisy channel Theorem and offers how the classical theory applies to the quantum world.
What's Next Web Development Trends to Watch.pdfSeasiaInfotech2
Explore the latest advancements and upcoming innovations in web development with our guide to the trends shaping the future of digital experiences. Read our article today for more information.
Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Em...Erasmo Purificato
Slide of the tutorial entitled "Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends" held at UMAP'24: 32nd ACM Conference on User Modeling, Adaptation and Personalization (July 1, 2024 | Cagliari, Italy)
MYIR Product Brochure - A Global Provider of Embedded SOMs & SolutionsLinda Zhang
This brochure gives introduction of MYIR Electronics company and MYIR's products and services.
MYIR Electronics Limited (MYIR for short), established in 2011, is a global provider of embedded System-On-Modules (SOMs) and
comprehensive solutions based on various architectures such as ARM, FPGA, RISC-V, and AI. We cater to customers' needs for large-scale production, offering customized design, industry-specific application solutions, and one-stop OEM services.
MYIR, recognized as a national high-tech enterprise, is also listed among the "Specialized
and Special new" Enterprises in Shenzhen, China. Our core belief is that "Our success stems from our customers' success" and embraces the philosophy
of "Make Your Idea Real, then My Idea Realizing!"
How Netflix Builds High Performance Applications at Global ScaleScyllaDB
We all want to build applications that are blazingly fast. We also want to scale them to users all over the world. Can the two happen together? Can users in the slowest of environments also get a fast experience? Learn how we do this at Netflix: how we understand every user's needs and preferences and build high performance applications that work for every user, every time.
How to Avoid Learning the Linux-Kernel Memory ModelScyllaDB
The Linux-kernel memory model (LKMM) is a powerful tool for developing highly concurrent Linux-kernel code, but it also has a steep learning curve. Wouldn't it be great to get most of LKMM's benefits without the learning curve?
This talk will describe how to do exactly that by using the standard Linux-kernel APIs (locking, reference counting, RCU) along with a simple rules of thumb, thus gaining most of LKMM's power with less learning. And the full LKMM is always there when you need it!