Starting with MongoDB version 5.0, we can reshard a collection using the new shard key. But there are still something we think could be improved like:
Cluster metadata lack of details on chunks
TTL indexes
Improvements in the rebalancing process
Performance issues on rebalancing data
Observability
The internet has evolved from a human-centric client-server based architecture to one where humans and assets (or things) are equal stakeholders. Do our databases, middleware, and client applications still stand up? In this talk, Brian Gilmore outlines the unique challenges of data operations and analytics in the IoT environment, examines how human and machine interactions drive architecture and deployment, and identifies where we could work to improve our data strategies to fully leverage the IoT opportunity.
Why time series data is the secret to success when it comes to Industry 4.0
How an IoT data platform fits in with any IoT architecture to manage the data requirements of every IoT implementation
Effectively collect, manage, and analyze time series data to drive your ability to improve operations
Deep Dive - Usage of on premises data gateway for hybrid integration scenariosSajith C P Nair
Presentation delivered by Sajith C P, Integration Architect at the 2017 Global Integration Bootcamp, Bangalore.
https://www.biztalk360.com/gib2017-india/#speakers[inline]/7/
In this session the speaker talked about ‘on-premises data gateway’ as a secure centralized gateway that can be used for accessing on premise data from various Azure Services. He took a deep dive on how it works, how to install and various methods to troubleshoot connectivity. He concluded the session with few demos of its use in Azure Logic App, Microsoft Flow, Power Apps and Power BI.
The Cisco Open SDN Controller is a commercial distribution of OpenDaylight that delivers business agility through automation of standards-based network infrastructure.
Built as a highly scalable software-defined networking (SDN) platform, the Open SDN Controller abstracts away the complexity of managing heterogeneous networks to improve service delivery and reduce operating costs.
The controller exposes REST APIs to allow other applications to take advantage capabilities of the controller and unlock the power of the underlying network infrastructure, and JAVA APIs to allow for the creation of new network services.
This session will present the basic constructs of the controller and the capabilities of the REST and JAVA APIs to demonstrate how the Open SDN Controller abstracts away the complexity of managing heterogeneous networks to improve service delivery and reduce operating costs.
Slidedeck presented at http://devternity.com/ around MongoDB internals. We review the usage patterns of MongoDB, the different storage engines and persistency models as well has the definition of documents and general data structures.
[db tech showcase Tokyo 2017] C24:Taking off to the clouds. How to use DMS in...Insight Technology, Inc.
The presentation will discuss challenges and problems people experience during migration to a cloud. We check what set of tools AWS offers to overcome those problems and how to use AWS Database Migration Service (DMS) and Schema Conversion Tool. We will go through the process, supported engines, different modes, options and possible problems. Primarily the session is going to be focused on Oracle database migration but we also touch other engines and areas where the tool can be used.
The internet has evolved from a human-centric client-server based architecture to one where humans and assets (or things) are equal stakeholders. Do our databases, middleware, and client applications still stand up? In this talk, Brian Gilmore outlines the unique challenges of data operations and analytics in the IoT environment, examines how human and machine interactions drive architecture and deployment, and identifies where we could work to improve our data strategies to fully leverage the IoT opportunity.
Why time series data is the secret to success when it comes to Industry 4.0
How an IoT data platform fits in with any IoT architecture to manage the data requirements of every IoT implementation
Effectively collect, manage, and analyze time series data to drive your ability to improve operations
Deep Dive - Usage of on premises data gateway for hybrid integration scenariosSajith C P Nair
Presentation delivered by Sajith C P, Integration Architect at the 2017 Global Integration Bootcamp, Bangalore.
https://www.biztalk360.com/gib2017-india/#speakers[inline]/7/
In this session the speaker talked about ‘on-premises data gateway’ as a secure centralized gateway that can be used for accessing on premise data from various Azure Services. He took a deep dive on how it works, how to install and various methods to troubleshoot connectivity. He concluded the session with few demos of its use in Azure Logic App, Microsoft Flow, Power Apps and Power BI.
The Cisco Open SDN Controller is a commercial distribution of OpenDaylight that delivers business agility through automation of standards-based network infrastructure.
Built as a highly scalable software-defined networking (SDN) platform, the Open SDN Controller abstracts away the complexity of managing heterogeneous networks to improve service delivery and reduce operating costs.
The controller exposes REST APIs to allow other applications to take advantage capabilities of the controller and unlock the power of the underlying network infrastructure, and JAVA APIs to allow for the creation of new network services.
This session will present the basic constructs of the controller and the capabilities of the REST and JAVA APIs to demonstrate how the Open SDN Controller abstracts away the complexity of managing heterogeneous networks to improve service delivery and reduce operating costs.
Slidedeck presented at http://devternity.com/ around MongoDB internals. We review the usage patterns of MongoDB, the different storage engines and persistency models as well has the definition of documents and general data structures.
[db tech showcase Tokyo 2017] C24:Taking off to the clouds. How to use DMS in...Insight Technology, Inc.
The presentation will discuss challenges and problems people experience during migration to a cloud. We check what set of tools AWS offers to overcome those problems and how to use AWS Database Migration Service (DMS) and Schema Conversion Tool. We will go through the process, supported engines, different modes, options and possible problems. Primarily the session is going to be focused on Oracle database migration but we also touch other engines and areas where the tool can be used.
Time series Analytics - a deep dive into ADX Azure Data Explorer @Data Saturd...Riccardo Zamana
Time series Analytics - a deep dive into ADX Azure Data Explorer. Let’s discover with a step-by-step approach the entire ecosystem of features driven by Azure Data eXplorer.
IEEE 2014 DOTNET DATA MINING PROJECTS Trusted db a-trusted-hardware-based-dat...IEEEMEMTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Real-Time Streaming: Move IMS Data to Your Cloud Data WarehousePrecisely
With over 22,000 transactions processed every second, your mainframe IMS is a critical source of data for the cloud data warehouses that feed analytics, customer experience or regulatory initiatives. However, extracting data from mainframe IMS can be time-consuming and costly, leading to the exclusion of IMS data from cloud data warehouses all together – and leaving valuable insights unseen.
Never ignore or manually extract mainframe IMS data again. In this on-demand webcast, you will learn how Connect CDC enables your team to develop integrations quickly and easily between mainframe IMS and cloud data warehouses in the most cost-effective way possible.
Optimising Service Deployment and Infrastructure Resource ConfigurationRECAP Project
This is a presentation delivered by Alec Leckey (Intel) at the 2nd Data Centre Symposium held in conjunction with the National Conference on Cloud Computing and Commerce (http://2018.nc4.ie/) on April 10, 2018 in Dublin, Ireland.
Learn more about the RECAP project: https://recap-project.eu/
Install the Intel Landscaper: https://github.com/IntelLabsEurope/landscaper
Globus Endpoint Migration and Advanced Administration TopicsGlobus
We discuss the differences between Globus Connect Server versions 4 and 5, migrating to version 5, managing multi-DTN endpoints, options for tweaking file transfer performance and other advanced topics.
Presented at a workshop at Oak Ridge National Laboratory on June 23, 2022.
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)Denodo
Watch full webinar here: https://bit.ly/34iCruM
Many organizations are embarking on strategically important journeys to embrace data and analytics. The goal can be to improve internal efficiencies, improve the customer experience, drive new business models and revenue streams, or – in the public sector – provide better services. All of these goals require empowering employees to act on data and analytics and to make data-driven decisions. However, getting data – the right data at the right time – to these employees is a huge challenge and traditional technologies and data architectures are simply not up to this task. This webinar will look at how organizations are using Data Virtualization to quickly and efficiently get data to the people that need it.
Attend this session to learn:
- The challenges organizations face when trying to get data to the business users in a timely manner
- How Data Virtualization can accelerate time-to-value for an organization’s data assets
- Examples of leading companies that used data virtualization to get the right data to the users at the right time
Cloud Migration Paths: Kubernetes, IaaS, or DBaaSEDB
Moving to the cloud is hard, and moving Postgres databases to the cloud is even harder. Public cloud or private cloud? Infrastructure as a Service (IaaS), or Platform as a Service (PaaS)? Kubernetes for the application, or for the database and the application? This talk will juxtapose self-managed Kubernetes and container-based database solutions, Postgres deployments on IaaS, and Postgres DBaaS solutions of which EDB’s DBaaS BigAnimal is the latest example.
Covering MongoDB logical and physical backups types, best practices for taking backups and PITR using the Oplog. Asked ChatGPT for thoughts on MongoDB backups and best practices.
Redundancy and high availability are the basis for all production deployments. With MongoDB high availability is achieved with replica sets which provides automatic fail-over in case the Primary goes down. In this session we will review multiple maintenance scenarios that will include the proper steps for keeping the high availability while we perform the maintenance steps without causing downtime.
This session will cover Database upgrades, OS server patching, Hardware upgrades, Network maintenance and more.
How MongoDB HA works
Replica sets components/deployment typologies
Database upgrades
System patching/upgrade
Network maintenance
Add/Remove members to the replica set
Reconfiguring replica set members
Building indexes
Backups and restores
More Related Content
Similar to Sharding and things we'd like to see improved
Time series Analytics - a deep dive into ADX Azure Data Explorer @Data Saturd...Riccardo Zamana
Time series Analytics - a deep dive into ADX Azure Data Explorer. Let’s discover with a step-by-step approach the entire ecosystem of features driven by Azure Data eXplorer.
IEEE 2014 DOTNET DATA MINING PROJECTS Trusted db a-trusted-hardware-based-dat...IEEEMEMTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Real-Time Streaming: Move IMS Data to Your Cloud Data WarehousePrecisely
With over 22,000 transactions processed every second, your mainframe IMS is a critical source of data for the cloud data warehouses that feed analytics, customer experience or regulatory initiatives. However, extracting data from mainframe IMS can be time-consuming and costly, leading to the exclusion of IMS data from cloud data warehouses all together – and leaving valuable insights unseen.
Never ignore or manually extract mainframe IMS data again. In this on-demand webcast, you will learn how Connect CDC enables your team to develop integrations quickly and easily between mainframe IMS and cloud data warehouses in the most cost-effective way possible.
Optimising Service Deployment and Infrastructure Resource ConfigurationRECAP Project
This is a presentation delivered by Alec Leckey (Intel) at the 2nd Data Centre Symposium held in conjunction with the National Conference on Cloud Computing and Commerce (http://2018.nc4.ie/) on April 10, 2018 in Dublin, Ireland.
Learn more about the RECAP project: https://recap-project.eu/
Install the Intel Landscaper: https://github.com/IntelLabsEurope/landscaper
Globus Endpoint Migration and Advanced Administration TopicsGlobus
We discuss the differences between Globus Connect Server versions 4 and 5, migrating to version 5, managing multi-DTN endpoints, options for tweaking file transfer performance and other advanced topics.
Presented at a workshop at Oak Ridge National Laboratory on June 23, 2022.
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)Denodo
Watch full webinar here: https://bit.ly/34iCruM
Many organizations are embarking on strategically important journeys to embrace data and analytics. The goal can be to improve internal efficiencies, improve the customer experience, drive new business models and revenue streams, or – in the public sector – provide better services. All of these goals require empowering employees to act on data and analytics and to make data-driven decisions. However, getting data – the right data at the right time – to these employees is a huge challenge and traditional technologies and data architectures are simply not up to this task. This webinar will look at how organizations are using Data Virtualization to quickly and efficiently get data to the people that need it.
Attend this session to learn:
- The challenges organizations face when trying to get data to the business users in a timely manner
- How Data Virtualization can accelerate time-to-value for an organization’s data assets
- Examples of leading companies that used data virtualization to get the right data to the users at the right time
Cloud Migration Paths: Kubernetes, IaaS, or DBaaSEDB
Moving to the cloud is hard, and moving Postgres databases to the cloud is even harder. Public cloud or private cloud? Infrastructure as a Service (IaaS), or Platform as a Service (PaaS)? Kubernetes for the application, or for the database and the application? This talk will juxtapose self-managed Kubernetes and container-based database solutions, Postgres deployments on IaaS, and Postgres DBaaS solutions of which EDB’s DBaaS BigAnimal is the latest example.
Similar to Sharding and things we'd like to see improved (20)
Covering MongoDB logical and physical backups types, best practices for taking backups and PITR using the Oplog. Asked ChatGPT for thoughts on MongoDB backups and best practices.
Redundancy and high availability are the basis for all production deployments. With MongoDB high availability is achieved with replica sets which provides automatic fail-over in case the Primary goes down. In this session we will review multiple maintenance scenarios that will include the proper steps for keeping the high availability while we perform the maintenance steps without causing downtime.
This session will cover Database upgrades, OS server patching, Hardware upgrades, Network maintenance and more.
How MongoDB HA works
Replica sets components/deployment typologies
Database upgrades
System patching/upgrade
Network maintenance
Add/Remove members to the replica set
Reconfiguring replica set members
Building indexes
Backups and restores
Exploring the replication and sharding in MongoDBIgor Donchovski
Redundancy and high availability are the basis for all production deployments. Database systems with large data sets or high throughput applications can challenge the capacity of a single server like CPU for high query rates or RAM for large working sets. Adding more CPU and RAM for vertical scaling is limited. Systems need horizontal scaling by distributing data across multiple servers. MongoDB supports horizontal scaling through sharding. Each shard consist of replica set that provides Redundancy and high availability.
Redundancy and high availability are the basis for all production deployments. Database systems with large data sets or high throughput applications can challenge the capacity of a single server like CPU for high query rates or RAM for large working sets. Adding more CPU and RAM for vertical scaling is limited. Systems need horizontal scaling by distributing data across multiple servers. MongoDB supports horizontal scaling through sharding.
Redundancy and high availability are the basis for all production deployments. With MongoDB this can be achieved by deploying a replica set. In this talk, we'll explore how MongoDB replication works and what the components are of a replica set. Using examples of wrong deployment configurations, we will highlight how to properly run replica sets in production, whether it comes to on-premise deployment or in the cloud.
In this day and age, maintaining privacy throughout our electronic communications is absolutely necessary. Creating user accounts, and not exposing your MongoDB environment to the wider internet, are basic concepts that have been missed in the past. Once that has been addressed, individuals and organizations interested in becoming PCI compliant must turn to securing their data through encryption. With MongoDB, we have two options for encryption: at rest and transport encryption.
Redundancy and high availability are the basis for all production deployments. With MongoDB this can be achieved by deploying replica set. In this slides we are exploring how the replication works with MongoDB, why you should use replication, what are the features and go over different deployment use cases. At the end we are comparing some features with MySQL replication and what are the differences between the two
Working with MongoDB as MySQL DBA. Comparing commands from MongoDB to MySQL, similarities and differences. Exploring replication features, failover and recovery, adjusting the variables and checking status and using DML, DDL with different storage engines
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
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.