Azure Cosmos DB is a globally distributed, multi-model database service by Microsoft that provides elastic scale, guaranteed low latency at the 99th percentile, and five well-defined consistency models. It can scale to handle massive amounts of storage and throughput across any number of regions while maintaining low latency and high availability. Cosmos DB uses a request units billing model where customers pay based on the amount of storage and provisioned throughput they use.
Everyone can see the business case for using Amazon AWS but how do you use it most efficiently? There are lots of options and the pricing is complicated. The following slide deck shows how to get the most value for the least cost when venturing into Amazon AWS cloud.
Consolidate MySQL Shards Into Amazon Aurora Using AWS Database Migration Serv...Amazon Web Services
If you’re running a MySQL database at scale, there’s a good chance you’re sharding your database deployment. Sharding is a useful way to increase the scale of your deployment, but it has drawbacks like higher costs, high administration overheard and lower elasticity. It’s harder to grow or shrink a sharded database deployment to match your traffic patterns. In this session, we will discuss and demonstrate how to use AWS Database Migration Service to consolidate multiple MySQL shards into an Amazon Aurora cluster to reduce cost, improve elasticity and make it easier to manage your database.
Learning Objectives:
Learn how to scale your MySQL database at reduced cost and higher elasticity, by consolidating multiple shards into one Amazon Aurora cluster.
Everyone can see the business case for using Amazon AWS but how do you use it most efficiently? There are lots of options and the pricing is complicated. The following slide deck shows how to get the most value for the least cost when venturing into Amazon AWS cloud.
Consolidate MySQL Shards Into Amazon Aurora Using AWS Database Migration Serv...Amazon Web Services
If you’re running a MySQL database at scale, there’s a good chance you’re sharding your database deployment. Sharding is a useful way to increase the scale of your deployment, but it has drawbacks like higher costs, high administration overheard and lower elasticity. It’s harder to grow or shrink a sharded database deployment to match your traffic patterns. In this session, we will discuss and demonstrate how to use AWS Database Migration Service to consolidate multiple MySQL shards into an Amazon Aurora cluster to reduce cost, improve elasticity and make it easier to manage your database.
Learning Objectives:
Learn how to scale your MySQL database at reduced cost and higher elasticity, by consolidating multiple shards into one Amazon Aurora cluster.
Myths and facts of cloud hosting servicesHTS Hosting
Cloud Hosting is a type of web hosting services offered by the web hosting providers.It allows applications and websites to be accessed via cloud resources.
AWS re:Invent 2016: Learn How FINRA Aligns Billions of Time Ordered Events wi...Amazon Web Services
FINRA is a leader in the Financial Services industry who sought to move toward real-time data insights of billions of time-ordered market events by migrating from SQL batch processes on-prem, to Apache Spark in the cloud. By using Apache Spark on Amazon EMR, FINRA can now test on realistic data from market downturns, enhancing their ability to provide investor protection and promote market integrity (FINRA enacts rules and provides guidance that securities exchanges & brokers must follow). By using AWS Spot instances, FINRA has saved up to 50% from its on premises solution, increased elasticity/scalability, and accelerated reprocessing requests (from months to days). Learn best practices on how FINRA moves toward real-time data analytics with Spark and AWS, while managing production workloads in parallel, increasing performance and IT efficiency, reducing cost, and modernizing and scaling their infrastructure to prepare for real-time processing in the future.
Amazon Aurora is a MySQL-compatible database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. This session introduces you to Amazon Aurora, explains common use cases for the service, and helps you get started with building your first Amazon Aurora–powered application.
Amazon Aurora is a MySQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is disruptive technology in the database space, bringing a new architectural model and distributed systems techniques to provide far higher performance, availability, and durability than was previously available using conventional monolithic database techniques. In this session, we dive deep into some of the key innovations behind Amazon Aurora, discuss best practices and migration from other databases to Amazon Aurora, and share early customer experiences from the field.
Amazon Redshift는 속도가 빠른 페타바이트 규모의 완전관리형 데이터 웨어하우스로, 간편하고 비용 효율적으로 모든 데이터를 기존 비즈니스 인텔리전스 도구를 사용하여 분석할 수 있게 해줍니다. 이 강연에서는 대량 병렬처리를 가능하게 하는 RedShift의 분산 처리구조를 살펴보고, 다양한 데이터 소스 및 포맷으로 부터의 데이터 통합 및 로드를 위한 모범 사례에 대하여 실습을 통하여 학습할 예정입니다.
연사: 김상필, 아마존 웹서비스 솔루션즈 아키텍트
AWS Summit London 2014 | From One to Many - Evolving VPC Design (400)Amazon Web Services
In this advanced technical session you will learn how you can use AWS to build and deploy virtual data centres as fast as you can design them. Learn how to combine CloudFormation templates together with best practice techniques that are in use by AWS customers today to optimise the design and implementation of your VPCs
Optimizing for Cost in the AWS Cloud - 5 Ways to Further Save - AWS Summit 20...Amazon Web Services
AWS Technology Evangelist Jinesh Varia discusses how you can optimize your costs in the cloud and further reduce you cost and save. He discusses a number of data points of how customers are saving money with AWS
Nearly 1,000 takeaways ordered a minute from hungry consumers, with near real time confirmation from restaurants and delivery of their food just 45 minutes later is a hard technical challenge.
AWS allows the many small engineering teams at JUST EAT to take responsibility to meet that challenge, as they build and operate a platform that delivers a takeaway experience for consumers to love.
Learn how we migrated our e-commerce platform to AWS and organise both our platform and teams around the the twin goals of rapid change and high availability. Watch as during the session we deploy changes and break things live in production, and see how the JUST EAT platform is designed around AWS to recover quickly and automatically.
Amazon Redshift는 속도가 빠른 페타바이트 규모의 완전관리형 데이터 웨어하우스로, 간편하고 비용 효율적으로 모든 데이터를 기존 비즈니스 인텔리전스 도구를 사용하여 분석할 수 있게 해줍니다. 이 강연에서는 RedShift를 활용해 데이터 웨어하우스를 구축하고 데이터를 분석할 때의 모범사례과 다양한 고려사항에 대해 알아보고, Amazon S3에 있는 엑사바이트 규모의 데이터에 대해 복잡한 쿼리를 실행할 직접 수행할 수 있는 RedShift Spectrum을 실제로 사용할 때 고려사항에 대해 함께 다룰 예정입니다.
연사: 정영준, 아마존 웹서비스 솔루션즈 아키텍트
AWS Summit London 2014 | Uses and Best Practices for Amazon Redshift (200)Amazon Web Services
Interested in finding out more about the AWS data warehouse service, Amazon Redshift? Then join us for this introductory level technical session where you can learn more about the way in which AWS customers are using Redshift and the benefits that they have delivered to their organisations as a result as well as tricks and tips for getting the most from Redshift.
NEW LAUNCH! Introducing PostgreSQL compatibility for Amazon AuroraAmazon Web Services
After we launched Amazon Aurora, a cloud-native relational database with region-wide durability, high availability, fast failover, up to 15 read replicas, and up to five times the performance of MySQL, many of you asked us whether we could deliver the same features - but with PostgreSQL compatibility. We are now delivering a preview of Amazon Aurora with this functionality: we have built a PostgreSQL-compatible edition of Amazon Aurora, sharing the core Amazon Aurora innovations with the object-oriented capabilities, language interfaces, JSON compatibility, ANSI:SQL:2008 compliance, and broad functional richness of PostgreSQL. Amazon Aurora will provide full PostgreSQL compatibility while delivering more than twice the performance of the community PostgreSQL database on many workloads. At this session, we will be discussing the newest addition to Amazon Aurora in detail.
Day 4 - Big Data on AWS - RedShift, EMR & the Internet of ThingsAmazon Web Services
Big Data is everywhere these days. But what is it and how can you use it to fuel your business? Data is as important to organizations as labour and capital, and if organizations can effectively capture, analyze, visualize and apply big data insights to their business goals, they can differentiate themselves from their competitors and outperform them in terms of operational efficiency and the bottom line.
Join this session to understand the different AWS Big Data and Analytics services such as Amazon Elastic MapReduce (Hadoop), Amazon Redshift (Data Warehouse) and Amazon Kinesis (Streaming), when to use them and how they work together.
Reasons to attend:
- Learn how AWS can help you process and make better use of your data with meaningful insights.
- Learn about Amazon Elastic MapReduce and Amazon Redshift, fully managed petabyte-scale data warehouse solutions.
- Learn about real time data processing with Amazon Kinesis.
Aws Summit Berlin 2013 - Understanding database options on AWSAWS Germany
With AWS you can choose the right database for the right job. Given the myriad of choices, from relational databases to non-relational stores, this session will profile details and examples of some of the choices available to you (MySQL, RDS, Elasticache, Redis, Cassandra, MongoDB and DynamoDB), with details on real world deployments from customers using Amazon RDS, ElastiCache and DynamoDB.
Myths and facts of cloud hosting servicesHTS Hosting
Cloud Hosting is a type of web hosting services offered by the web hosting providers.It allows applications and websites to be accessed via cloud resources.
AWS re:Invent 2016: Learn How FINRA Aligns Billions of Time Ordered Events wi...Amazon Web Services
FINRA is a leader in the Financial Services industry who sought to move toward real-time data insights of billions of time-ordered market events by migrating from SQL batch processes on-prem, to Apache Spark in the cloud. By using Apache Spark on Amazon EMR, FINRA can now test on realistic data from market downturns, enhancing their ability to provide investor protection and promote market integrity (FINRA enacts rules and provides guidance that securities exchanges & brokers must follow). By using AWS Spot instances, FINRA has saved up to 50% from its on premises solution, increased elasticity/scalability, and accelerated reprocessing requests (from months to days). Learn best practices on how FINRA moves toward real-time data analytics with Spark and AWS, while managing production workloads in parallel, increasing performance and IT efficiency, reducing cost, and modernizing and scaling their infrastructure to prepare for real-time processing in the future.
Amazon Aurora is a MySQL-compatible database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. This session introduces you to Amazon Aurora, explains common use cases for the service, and helps you get started with building your first Amazon Aurora–powered application.
Amazon Aurora is a MySQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is disruptive technology in the database space, bringing a new architectural model and distributed systems techniques to provide far higher performance, availability, and durability than was previously available using conventional monolithic database techniques. In this session, we dive deep into some of the key innovations behind Amazon Aurora, discuss best practices and migration from other databases to Amazon Aurora, and share early customer experiences from the field.
Amazon Redshift는 속도가 빠른 페타바이트 규모의 완전관리형 데이터 웨어하우스로, 간편하고 비용 효율적으로 모든 데이터를 기존 비즈니스 인텔리전스 도구를 사용하여 분석할 수 있게 해줍니다. 이 강연에서는 대량 병렬처리를 가능하게 하는 RedShift의 분산 처리구조를 살펴보고, 다양한 데이터 소스 및 포맷으로 부터의 데이터 통합 및 로드를 위한 모범 사례에 대하여 실습을 통하여 학습할 예정입니다.
연사: 김상필, 아마존 웹서비스 솔루션즈 아키텍트
AWS Summit London 2014 | From One to Many - Evolving VPC Design (400)Amazon Web Services
In this advanced technical session you will learn how you can use AWS to build and deploy virtual data centres as fast as you can design them. Learn how to combine CloudFormation templates together with best practice techniques that are in use by AWS customers today to optimise the design and implementation of your VPCs
Optimizing for Cost in the AWS Cloud - 5 Ways to Further Save - AWS Summit 20...Amazon Web Services
AWS Technology Evangelist Jinesh Varia discusses how you can optimize your costs in the cloud and further reduce you cost and save. He discusses a number of data points of how customers are saving money with AWS
Nearly 1,000 takeaways ordered a minute from hungry consumers, with near real time confirmation from restaurants and delivery of their food just 45 minutes later is a hard technical challenge.
AWS allows the many small engineering teams at JUST EAT to take responsibility to meet that challenge, as they build and operate a platform that delivers a takeaway experience for consumers to love.
Learn how we migrated our e-commerce platform to AWS and organise both our platform and teams around the the twin goals of rapid change and high availability. Watch as during the session we deploy changes and break things live in production, and see how the JUST EAT platform is designed around AWS to recover quickly and automatically.
Amazon Redshift는 속도가 빠른 페타바이트 규모의 완전관리형 데이터 웨어하우스로, 간편하고 비용 효율적으로 모든 데이터를 기존 비즈니스 인텔리전스 도구를 사용하여 분석할 수 있게 해줍니다. 이 강연에서는 RedShift를 활용해 데이터 웨어하우스를 구축하고 데이터를 분석할 때의 모범사례과 다양한 고려사항에 대해 알아보고, Amazon S3에 있는 엑사바이트 규모의 데이터에 대해 복잡한 쿼리를 실행할 직접 수행할 수 있는 RedShift Spectrum을 실제로 사용할 때 고려사항에 대해 함께 다룰 예정입니다.
연사: 정영준, 아마존 웹서비스 솔루션즈 아키텍트
AWS Summit London 2014 | Uses and Best Practices for Amazon Redshift (200)Amazon Web Services
Interested in finding out more about the AWS data warehouse service, Amazon Redshift? Then join us for this introductory level technical session where you can learn more about the way in which AWS customers are using Redshift and the benefits that they have delivered to their organisations as a result as well as tricks and tips for getting the most from Redshift.
NEW LAUNCH! Introducing PostgreSQL compatibility for Amazon AuroraAmazon Web Services
After we launched Amazon Aurora, a cloud-native relational database with region-wide durability, high availability, fast failover, up to 15 read replicas, and up to five times the performance of MySQL, many of you asked us whether we could deliver the same features - but with PostgreSQL compatibility. We are now delivering a preview of Amazon Aurora with this functionality: we have built a PostgreSQL-compatible edition of Amazon Aurora, sharing the core Amazon Aurora innovations with the object-oriented capabilities, language interfaces, JSON compatibility, ANSI:SQL:2008 compliance, and broad functional richness of PostgreSQL. Amazon Aurora will provide full PostgreSQL compatibility while delivering more than twice the performance of the community PostgreSQL database on many workloads. At this session, we will be discussing the newest addition to Amazon Aurora in detail.
Day 4 - Big Data on AWS - RedShift, EMR & the Internet of ThingsAmazon Web Services
Big Data is everywhere these days. But what is it and how can you use it to fuel your business? Data is as important to organizations as labour and capital, and if organizations can effectively capture, analyze, visualize and apply big data insights to their business goals, they can differentiate themselves from their competitors and outperform them in terms of operational efficiency and the bottom line.
Join this session to understand the different AWS Big Data and Analytics services such as Amazon Elastic MapReduce (Hadoop), Amazon Redshift (Data Warehouse) and Amazon Kinesis (Streaming), when to use them and how they work together.
Reasons to attend:
- Learn how AWS can help you process and make better use of your data with meaningful insights.
- Learn about Amazon Elastic MapReduce and Amazon Redshift, fully managed petabyte-scale data warehouse solutions.
- Learn about real time data processing with Amazon Kinesis.
Aws Summit Berlin 2013 - Understanding database options on AWSAWS Germany
With AWS you can choose the right database for the right job. Given the myriad of choices, from relational databases to non-relational stores, this session will profile details and examples of some of the choices available to you (MySQL, RDS, Elasticache, Redis, Cassandra, MongoDB and DynamoDB), with details on real world deployments from customers using Amazon RDS, ElastiCache and DynamoDB.
ENT305 Migrating Your Databases to AWS: Deep Dive on Amazon Relational Databa...Amazon Web Services
Amazon RDS allows you to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity, automates time-consuming database administration tasks, and provides you with six familiar database engines to choose from: Amazon Aurora, Oracle, Microsoft SQL Server, PostgreSQL, MySQL and MariaDB. In this session, we will take a close look at the capabilities of Amazon RDS and explain how it works. We’ll also discuss the AWS Database Migration Service and AWS Schema Conversion Tool, which help you migrate databases and data warehouses with minimal downtime from on-premises and cloud environments to Amazon RDS and other Amazon services. Gain your freedom from expensive, proprietary databases while providing your applications with the fast performance, scalability, high availability, and compatibility they need.
These slides are a copy of a last Azure Cosmos DB + Gremlin API in Action session which I had the pleasure to present on June 2nd, 2018 at PASS SQL Saturday event in Montreal. The original PowerPoint version contained much more elaborate series of animations. We understand that those had to be flatten for upload in this case. Though I guess you'll get the idea of the logic involved.
The event, held on 27th April 2019, was part of the Global Azure Bootcamp and covered Microsoft's Cosmos DB, more specifically:
- Introduction to Cosmos DB, its features, internals, resource models, and request units.
- DEMO: Create an SQL API. Download sample .NET app. Simple queries.
- Covered Change Feed and showcased various use case scenarios.
- Detailed Global Distribution and Consistency Models implications.
- DEMO: Mongo - Lift and shift. Run simple .NET code against a MongoDB (in docker container) and cosmos.
- Introduction to Tinkerpop graphs
- DEMO: Graphs API. Download sample .NET app. Simple queries.
https://techspark.mt/global-azure-bootcamp-27th-april-2019/
Getting started with Cosmos DB + Linkurious EnterpriseLinkurious
Nowadays, many real-world applications generate data that is naturally connected, but traditional systems fail to capture the value it represents. Thanks to its graph API, the multi-model database Cosmos DB lets you model and store graph-like data. On top of Cosmos DB, Linkurious Enterprise is turnkey solution to detect and investigate insights through an interface for graph data visualization and analysis.
In this presentation, we will explain the value of graphs and show how to get started with Cosmos DB and Linkurious Enterprise to accelerate the discovery of new insights in your connected data.
Azure Cosmos DB: Globally Distributed Multi-Model Database ServiceDenny Lee
Azure Cosmos DB is the industry's first globally distributed multi-model database service. Features of Cosmos DB include turn-key global distribution, elastic throughput and storage, multiple consistency models, and financially backed SLAs. As well, we are in preview for Table, Graph, and Spark Connector to Cosmos DB. Also includes healthcare scenarios!
Tour de France Azure PaaS 3/7 Stocker des informationsAlex Danvy
3 possibilités de stocker des données dans Azure :
- Evolution : Le compte de stockage est plus que jamais essentiel. Bien que basic, il ne cesse d'évoluer.
- Innovation : Le Cloud permet d'imaginer de nouveaux scénarios mettant à rude épreuve les technologies de stockage. Il faut parfois en inventer de nouvelles : Cosmos DB
- Open Source : S'il est possible de faire fonctionner les solutions Open Source dans des VM, celle n'apporte que très rarement de la valeur. Autant en laisser la gestion au fournisseur de Cloud. MySQL, PostegreSQL et Maria DB sont maintenant disponibles sous la forme de service managé.
Relational databases are a cornerstone of the enterprise IT landscape, powering business-critical applications of many kinds. Though they have been around for a while, current commercial relational databases have lagged behind in innovation. Amazon Aurora, a managed database service built for the cloud, is intended to change that. It targets the high-performance needs of business-critical applications with an emphasis on cost-effectiveness. In this session, we will look into how Aurora fits the needs of applications built and bought by enterprises to power their business. You will learn about the overall architecture, capabilities, and cost-effectiveness of Aurora, comparing it to current commercial database offerings. We will explore best practices for enterprises adopting Aurora for existing and new workloads, as well as strategies, tools, and techniques for migrating existing databases to Aurora. You will also hear from Expedia, one of world’s leading travel companies on how they are using Amazon Aurora to power application with high performance database needs.
Learn more about the tools, techniques and technologies for working productively with data at any scale. This session will introduce the family of data analytics tools on AWS which you can use to collect, compute and collaborate around data, from gigabytes to petabytes. We'll discuss Amazon Elastic MapReduce, Redshift, Hadoop, structured and unstructured data, and the EC2 instance types which enable high performance analytics.
AWS Summit Auckland 2014 | Why Scale Matters and How the Cloud Really is Diff...Amazon Web Services
A behind the scenes look at key aspects of the AWS infrastructure deployments. Some of the true differences between a cloud infrastructure design and conventional enterprise infrastructure deployment and why the cloud fundamentally changes application deployment speed, economics, and provides more and better tools for delivering high reliability applications. Few companies can afford to have a datacenter in every region in which they serve customers or have employees. Even fewer can afford to have multiple datacenter in each region where they have a presence. Even fewer can afford to invest in custom optimized network, server, storage, monitoring, cooling, and power distribution systems and software. We'll look more closely at these systems, how they work, how they are scaled, and the advantages they bring to customers.
In addition to running databases in Amazon EC2, AWS customers can choose among a variety of managed database services. These services save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service; Amazon RDS, a relational database service in the cloud; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We will cover how each service might help support your application, how much each service costs, and how to get started.
by Joyjeet Banerjee, Enterprise Solution Architect, AWS
Amazon RDS allows you to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you to focus on your applications and business. We’ll discuss Amazon RDS fundamentals, learn about the seven available database engines, and examine customer success stories. Level 100
Disaster recovery sites on AWS: minimal costs maximum efficiencyAmazon Web Services
Implementation of a disaster recovery (DR) site is crucial for the business continuity of any enterprise. Due to the fundamental nature of features like elasticity, scalability, and geographic distribution, DR implementation on AWS can be done at 10-50% of the conventional cost. In this session, we do a deep dive into proven DR architectures on AWS and the best practices, tools and techniques to get the most out of them.
Similar to Azure Cosmos DB by Mohammed Gadi AUG April 2019 (20)
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...Crescat
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
In the ever-evolving landscape of technology, enterprise software development is undergoing a significant transformation. Traditional coding methods are being challenged by innovative no-code solutions, which promise to streamline and democratize the software development process.
This shift is particularly impactful for enterprises, which require robust, scalable, and efficient software to manage their operations. In this article, we will explore the various facets of enterprise software development with no-code solutions, examining their benefits, challenges, and the future potential they hold.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
E-commerce Application Development Company.pdfHornet Dynamics
Your business can reach new heights with our assistance as we design solutions that are specifically appropriate for your goals and vision. Our eCommerce application solutions can digitally coordinate all retail operations processes to meet the demands of the marketplace while maintaining business continuity.
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
2. I’m super e x cited to be back at AUGAzureBootcamp!
3. A FULLY-MANAGED GLOBALLY DISTRIBUTED DATABASE SERVICE BUILT TO GUARANTEE
EXTREMELY LOW LATENCY AND MASSIVE SCALE FOR MODERN APPS
What is Azure Cosmos DB ?
4. Turnkey global distribution
Elastic scale out
of storage & throughput
Guaranteed low latency at the 99th percentile
Comprehensive SLAs
Five well-defined consistency models
A globally distributed, massively scalable, multi-model database service
Azure Cosmos DB
5. Column-family
Document
Graph
Turnkey global distribution
Elastic scale out
of storage & throughput
Guaranteed low latency at the 99th percentile
Comprehensive SLAs
Five well-defined consistency models
Key-value
A globally distributed, massively scalable, multi-
model database service
Azure Cosmos DB
6. Column-family
Document
Graph
Turnkey global distribution
Elastic scale out
of storage & throughput
Guaranteed low latency at the 99th percentile
Comprehensive SLAs
Five well-defined consistency models
Table API
Key-value
A globally distributed, massively scalable, multi-model database service
Cosmos DB’s API for
MongoDB
Azure Cosmos DB
8. Elastically Scale Storage and Throughput
Independently and elastically scale storage and
throughput across regions – even during
unpredictable traffic bursts – with a database that
adapts to your app’s needs.
Database throughput is the number of reads and
writes that your database can perform in a single
second.
Elastically scale throughput from 10 to
100s of millions of requests/sec across
multiple regions
Pay only for the throughput and storage
you need
10. Guaranteed Low Latency
Provide users around the world with fast
access to data
Serve < 10 ms read and < 10 ms write
requests at the 99th percentile from the
region nearest to users, while delivering
data globally.
11.
12.
13. Turnkey Global Distribution
Put your data where your users are in minutes
Manual and automatic failover.
Available in all Azure regions.
Automatic & synchronous multi-
region replication.
Configure multiple write regions
to further reduce latency and
increase availability
14. Strong Bounded-stateless Session Consistent prefix Eventual
Five Well-Defined Consistency Models
Choose the best consistency model for your app
Offers five consistency models
Provides control over performance-consistency tradeoffs,
backed by comprehensive SLAs.
An intuitive programming model offering low latency and
high availability for your planet-scale app.
15.
16.
17.
18.
19.
20. Top 10 Reasons Why Customers Use
Azure Cosmos DB
different types of data
multi-tenancy
and enterprise-grade
security
global
distribution turnkey
capability
mission
critical
massive
storage/throughput
scalability
to
optimize for speed and
cost
5 well-defined
consistency models
analytics-
ready
event-driven
architectures
single digit
millisecond latency at
99th percentile
worldwide
big data
high
availability and
reliability
22. Billing Model
2 components: Storage + Throughput
You are billed on consumed storage and provisioned throughput
Collections in a database can share throughput
Unit Price (for most Azure regions)
SSD Storage (per GB) $0.25 per month
Provisioned Throughput (single region
writes)
$0.008/hour per 100 RU/s
Provisioned Throughput (multi-region
writes)
$0.016/hour per 100 multi-master RU/s
* pricing may vary by region; for up-to-date pricing, see: https://azure.microsoft.com/pricing/details/cosmos-db/
23. Request Units
Request Units (RUs) is a rate-based currency – e.g. 1000 RU/second
A single request unit, 1 RU, is equal to the approximate cost of performing a single GET request on a 1-KB
document using a document's ID. Performing a GET by using a document's ID is an efficient means for retrieving a
document, and thus the cost is small. Creating, replacing, or deleting the same item requires additional processing
by the service, and therefore requires more request units. Abstracts physical resources for performing requests.
% IOPS% CPU% Memory
24. Request Units
Each request consumes # of RU
Approx. 1 RU = 1 read of 1 KB document
Approx. 5 RU = 1 write of a 1KB document
Query: Depends on query & documents involved
GET
POST
PUT
Query
…
=
=
=
=
25. Request Units- Provisioned throughput
Provisioned in terms of RU/sec – e.g. 1000 RU/s
Billed for highest RU/s in 1 hour
Easy to increase and decrease on demand
Rate limiting based on amount of throughput provisioned
Background processes like TTL expiration, index transformations
scheduled when quiescent
Storage: 40RU per 1GB of data
Min RU/sec
Max
RU/sec
IncomingRequests
No rate limiting,
process background
operations
Rate limiting –
SDK retry
No rate limiting
27. Partitioning- Why Do We Do It In The First Place?
As data size grows, instead of buying more machines (scaling up)
we distribute our data across multiple machines
Each machine is responsible for serving subset of the data.
Analogy: Working in a team
33. Walmart Labs (aka jet.com) ensures reliable app experience for
customers on Black Friday, Cyber Monday, and other high traffic periods
Order & Inventory Management Systems
• Event-sourcing architecture, with Cosmos DB
Change Feed
• Moved from IaaS to PasS for inventory system
• Chosen to handle high write-ingest for events &
low latency guarantees
• Scaled for Black Friday: 1 trillion RU’s over 24
hours
34.
35.
36. Azure Cosmos DB: Value to Customer
Save money
Global Business
Store
Supplier
Partner
Become more productive
Become more flexible
Become more responsive
Become more innovative
Azure Cosmos DB offers the first globally distributed, multi-model database service for building planet scale apps. It’s been powering Microsoft’s internet-scale services for years, and now it’s ready to launch yours.
Only Azure Cosmos DB makes global distribution turn-key.
You can add Azure locations to your database anywhere across the world, at any time, with a single click. Cosmos DB will seamlessly replicate your data and make it highly available.
Cosmos DB allows you to scale throughput and storage elastically, and globally! You only pay for the throughput and storage you need – anywhere in the world, at any time.
Azure Cosmos DB offers the first globally distributed, multi-model database service for building planet scale apps. It’s been powering Microsoft’s internet-scale services for years, and now it’s ready to launch yours.
Only Azure Cosmos DB makes global distribution turn-key.
You can add Azure locations to your database anywhere across the world, at any time, with a single click. Cosmos DB will seamlessly replicate your data and make it highly available.
Cosmos DB allows you to scale throughput and storage elastically, and globally! You only pay for the throughput and storage you need – anywhere in the world, at any time.
Azure Cosmos DB offers the first globally distributed, multi-model database service for building planet scale apps. It’s been powering Microsoft’s internet-scale services for years, and now it’s ready to launch yours.
Only Azure Cosmos DB makes global distribution turn-key.
You can add Azure locations to your database anywhere across the world, at any time, with a single click. Cosmos DB will seamlessly replicate your data and make it highly available.
Cosmos DB allows you to scale throughput and storage elastically, and globally! You only pay for the throughput and storage you need – anywhere in the world, at any time.
Elastic Scale out -> Tunable Consistency
Small storage – large throughput (e.g. notification broadcast/poll)
Large storage – small throughput (e.g. classic data/log store)
Single digit latency -> SLA
Elastic Scale out -> Tunable Consistency
Small storage – large throughput (e.g. notification broadcast/poll)
Large storage – small throughput (e.g. classic data/log store)
Tunable Consistency -> Single digit latency
Instead of forcing you to choose between eventual and strong consistency, Cosmos DB gives you many additional useful options.
Bounded Staleness - Consistent Prefix. Reads lag behind writes by k prefixes or t interval
Session - Consistent Prefix. Monotonic reads, monotonic writes, read-your-writes, write-follows-reads
Consistent Prefix - Updates returned are some prefix of all the updates, with no gaps
The number of RU’s each operation consumes depends on many factors which include:
Document size
Number of indexed fields
Type of indexes
Consistency model choice
Not all queries will consume equal numbers of RU’s. Some operations are more computationally complex or require scans through more documents and therefore use more RU’s.