Migrating Your Self-Managed MongoDB Databases to AWS with Amazon DocumentDB
By: AWS View more from AWS >>
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How Plume scaled its database to manage 500M+ smart devices
By: Amazon Web Services
Type: Case Study
Plume, a leader in smart home services, faced database scalability challenges managing over half a billion devices globally. The company migrated from MongoDB to Amazon DocumentDB, a fully managed service compatible with MongoDB workloads. This move significantly increased scalability, allowing Plume to handle 50,000 API calls per minute effortlessly.
Key benefits included:
• Reduced need for in-house database management
• Cost savings equivalent to 3-5 Silicon Valley salaries
• Decreased latency and improved security
• Seamless integration with minimal code changes
AWS collaboration provided valuable insights and support, enabling Plume to focus on delivering flawless wireless internet experiences.
These are also closely related to: "Migrating Your Self-Managed MongoDB Databases to AWS with Amazon DocumentDB"
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Run complex data queries with Apache Spark and Amazon EMR
By: Amazon Web Services
Type: White Paper
This blog post explores using Apache Spark on Amazon EMR to run complex queries on large datasets in Amazon DocumentDB clusters. It provides a step-by-step guide for setting up an EMR cluster with Apache Spark and connecting it to a TLS-enabled Amazon DocumentDB instance. The post covers:
• Creating and configuring an Amazon DocumentDB cluster
• Loading sample data
• Setting up IAM roles for EMR
• Creating and configuring an EMR cluster with Apache Spark
• Running a sample Spark applicationThis solution is ideal for data analytics teams running ad-hoc reports or data science teams executing complex ML pipelines.
Enhance your big data processing with Amazon DocumentDB and Apache Spark on EMR.
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MongoDB for modern data management
By:
Type: Talk
In database management, MongoDB stands as the unrivalled leader for document databases. This session will explore how organisations tackle data challenges and harness MongoDB to modernise their data management strategies, gaining a competitive edge in the process. In this webinar, you will learn about: the unique data management challenges faced by small, medium, and large enterprises, insights into specific use cases where MongoDB proves to be an ideal database choice, tailored database solutions for industry-specific domains and diverse enterprise needs, charmed MongoDB, an enhanced, and fully-compatible drop-in replacement for MongoDB Community Edition with advanced MongoDB enterprise features.
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Battle of the NoSQL database titans: Top vendors, compared
By: Couchbase
Type: Webcast
Struggling to choose the right NoSQL database for your growing application? You’re not alone – so how can you determine the approach that best meets your business needs? This webcast compares Couchbase and MongoDB, highlighting key differences in architecture and capabilities to help you make the best choice for your business.
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Simplifying MongoDB operations
By:
Type: Talk
In the dynamic realm of database technology, MongoDB has emerged as the unparalleled leader among document databases. As business needs evolve, a growing number of enterprises are opting to deploy MongoDB on diverse infrastructures, such as the public and private cloud. This approach is unlocking the advantages of containerisation, virtualisation, and orchestration for MongoDB instances. The benefits are compelling, but achieving them is a highly complex undertaking. This webinar is designed to empower you with the knowledge and skills you need to streamline your database management and unlock the full potential of MongoDB. Discover practical strategies, best practices, and engage in live demonstrations to simplify and optimise MongoDB operations. Join the webinar to: - Gain insights to MongoDB features and role in modern applications. - Explore major difficulties of managing databases both in development and production environments. - Learn best practices to simplify MongoDB operations and enhance performance. - Watch live demonstrations of effective MongoDB management techniques using operators for virtual machines and Kubernetes. - Talk to experts to find out how Charmed MongoDB can elevate your database management.
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NoSQL security scanning: Finding and remediating MongoDB vulnerabilities
By:
Type: Replay
NoSQL injection attacks against MongoDB databases are a major threat to full-stack JavaScript applications. The OWASP Top 10 for 2021 lists injection as the #3 overall risk category for web application security, and NoSQL injection is one of the more recent additions to that category. Join Invicti Staff Security Engineer Sven Morgenroth as he shows how to find MongoDB injection vulnerabilities with an automated approach – and how to fix them. You will also learn: - The basics of MongoDB injection vulnerabilities - Secure development practices for MongoDB - How to find, analyze, and fix reported vulnerabilities with Invicti MongoDB databases are a critical part of the modern web. By attending this webinar, you will learn many ways to fix MongoDB injection vulnerabilities and avoid them in the future.
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FortanixDatabase Encryption: Simplifying Security Across Global Databases
By:
Type: Video
In this webinar, we will be covering the following topics: -How to manage encryption and keys across multiple databases. -Setup and configuration of TDE for Oracle Database 19c. -Encrypting cells, rows and the entire database using Microsoft SQL Server. -Securing NoSQL databases with TDE, demonstrated with MongoDB.
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Database high availability and scalability in action
By:
Type: Talk
As the backbone of many modern applications, databases must ensure both high availability and scalability to meet the demands of growing user bases and dynamic workloads. MongoDB, a leading NoSQL database, excels in these areas with its robust features designed to support distributed data environments. Join Mia Altieri, Canonical software engineer, as she showcases automated ways to maintain high availability and sharding functionalities of MongoDB using an operator. An operator is an application that automates management tasks and the operational complexity of running software, in this case, MongoDB. Learn how an operator can help you maintain a scalable database in a production environment.
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Migrating Cosmos DB to MongoDB Atlas on AWS
By:
Type: Replay
Join us to learn about migrating Cosmos DB or SQL database to MongoDB Atlas on AWS. We’ll discuss migration business drivers, the benefits of running MongoDB Atlas on AWS, tooling & automation, and other considerations for migration.
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Unlock More Performance for MongoDB on AWS
By:
Type: Talk
Join Lightbits Labs Sagy Volkov, Distinguished Performance Architect and Janet Lafleur, Product Marketing Strategy & Communications for an informative webinar on MongoDB. Is the cloud delivering the performance you need for MongoDB? Register to win a Nintendo Switch! Join experts with Lightbits Labs for an informative webinar to understand the results of testing conducted by Lightbits of MongoDB performance with two storage options: Lightbits SAN-in-the-cloud offering and the EBS io2 Block Express option. Understand, why choosing the right storage for your MongoDB databases is critical for both transaction performance and for significantly reducing the cost of running databases in the cloud. Enterprises have turned to MongoDB and other NoSQL databases for their strength in analyzing data and their flexibility for rapidly growing and evolving data sets. They’re a perfect fit for cloud apps, from eCommerce to edge data to social networks. But if your cloud performance doesn’t keep up with your database growth, you’re at risk of overloading your app and overrunning your cloud budget. Attend this webinar and learn: How to pinpoint the bottlenecks behind your performance issues How software-defined storage can boost compute performance in public cloud How to control public cloud costs as your database scales How to make your cloud environment more resilient with enterprise data services
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Explore strategies for modernizing your database infrastructure
By: Amazon Web Services
Type: eBook
Unfortunately, the requested content appears to be unavailable. The server returned a 404 Not Found error for the URL. This may indicate that the white paper on AWS Database Modernization has been moved or removed. For the most up-to-date information on AWS database solutions, read the full white paper if it becomes available again.
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Building Powerful Gen AI Applications with Google Cloud and MongoDB
By:
Type: Video
Learn how MongoDB, in collaboration with Google Cloud, can help developers build and deploy gen AI-powered apps faster and at scale. In this the webinar, you'll learn how to: - Simplify data management — Discover how MongoDB Atlas on Google Cloud eliminates database complexities. Free your team to focus on what truly matters: innovation. - Unlock data's power — Learn how MongoDB's flexible platform empowers you to build modern, data-driven applications with ease. Dive into the world of generative AI and see how it can transform your business. - Accelerate your cloud journey — See how MongoDB Atlas seamlessly integrates with Google Cloud, leveraging the power of Vertex AI to enhance development and drive growth. Take your cloud capabilities to the next level.
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Accelerate Your Workload Migration From RDBMS to MongoDB
By:
Type: Replay
Is your most valuable business data trapped in legacy databases? Is your data siloed, complex, growing in volume and variety? Relational database management systems (RDBMS) have become the bottleneck to business innovation, slowing down business innovation. - MongoDB in combination with Pentaho helps you meet this data challenge. You can innovate your legacy applications no longer throttled by monolithic RDBMS backend. And you create the operational data stores needed to unify your data. Join DataOps experts from MongoDB and Hitachi Vantara to learn how to accelerate data ingestion and migration.
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Migrating to MongoDB Atlas on AWS
By:
Type: Replay
Join us to learn about migrating to MongoDB Atlas on AWS. We’ll discuss migration business drivers, the benefits of running MongoDB Atlas on AWS, the MongoDB Developer Data Platform, and other considerations for migration.
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Migrating to MongoDB Atlas on AWS
By:
Type: Replay
Join us to learn about migrating to MongoDB Atlas on AWS. We’ll discuss migration business drivers, the benefits of running MongoDB Atlas on AWS, the MongoDB Developer Data Platform, and other considerations for migration.
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Simplify Database Management and Make Open-Source Database Adoption a Reality
By:
Type: Video
Your developers want to use open-source databases to support the modern applications they are building. But your DBAs are having a hard enough time manually administering your growing commercial database fleet. How do you provide developers with the open-source databases they need while not overwhelming your DBA team? Better yet, how do you do so while lightening the administrative burden on your DBAs so they can not only manage all the databases under their charge – commercial and open source - but actually free up time so they can focus on higher value activities? The answer is Nutanix Database Service (NDB). NDB is the only Database-as-a-Service that simplifies and automates database lifecycle management across on-premises and public clouds for Microsoft SQL Server, Oracle Database, PostgreSQL, MySQL, and MongoDB databases. With NDB, simplify database management while delivering secure, consistent database operations, free up DBA time to focus on higher value activities, and make databases – both commercial and open source – a seamless part of software development. In this webinar for development and platform leaders, you will learn … ● How NDB provides a single, seamless user experience for provisioning and managing Microsoft SQL Server, Oracle, PostgreSQL, MySQL, and MongoDB databases across on-premises, public clouds, and co-location facilities. ● How NDB automates database lifecycle management - including provisioning, scaling, patching, and cloning databases - to ensure operational and security best practices are applied across your entire database fleet. ● How NDB enables you to provide developers with a menu of secure, approved database options - including open source databases like PostgreSQL and MongoDB - and lets developers self-service provision databases in minutes to speed software development.
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Securing your global databases with Transparent Database Encryption
By:
Type: Video
Join John Wyss (VP, Product, Fortanix) and Joe Davenport (Sales Engineering, Fortanix) will demonstrate how Fortanix Data Security Manager is helping companies to implement database encryption more broadly at the cell, column, row, table, and entire database levels, in response to the proliferation of data privacy regulations, the increasing risk of a data breach, and the migration of databases to public cloud - across common types of an enterprise database. This webinar will give you insights into: How to manage encryption and keys across multiple databases. Setup and configuration of TDE for Oracle Databases. Encrypting cells, rows, and the entire database using Microsoft SQL Server. NewSecuring NoSQL databases with TDE, demonstrated with MongoDB.
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Speed Wars: Database in the Cloud Edition
By:
Type: Talk
Join Lightbits Labs Sagy Volkov, Distinguished Performance Architect and Janet Lafleur, Director of Product Marketing at Lightbits Labs for an informative webinar on databases on AWS and Azure. Are charges for top-tier block storage on AWS or Azure chewing through your budget? It doesn’t have to be that way. With a smarter storage architecture you can bump up performance for your demanding Oracle, MySQL, and MongoDB databases–without paying top-tier prices for EBS io2 Block Express or Azure ultra disk or Premium SSD v2. Attend this webinar to learn how to: - Give your database workloads scalable IOPS and consistent sub-millisecond latency - Compare Oracle, MySQL, and MongoDB performance across different storage options - Reduce the number of virtual servers required to get the storage performance you need - Control even costs more with thin provisioning, compression, and SAN-style provisioning
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How to Build Streaming Pipelines for Cloud Databases
By:
Type: Video
In this webinar, discover how legacy data pipelines are hindering organizations from maximizing the value of their data in the era of real-time streaming. Using the story of a bank leveraging an Oracle database, RabbitMQ, and MongoDB Atlas, the session showcases a live demo of Confluent's managed connectors for Oracle CDC Source and RabbitMQ Source, ksqlDB for real-time data merging and analysis, and the MongoDB Atlas sink connector for loading transformed data. Gain insights into the challenges of batch-based pipelines and unlock the benefits of streaming data pipelines to empower modern, real-time operational use cases.
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Modernising Data Pipelines with Confluent and MongoDB
By:
Type: Talk
Confluent and MongoDB invite you for a session of education and conversation around today's modern data pipeline and how to set data in motion: Join us on April 21st to learn how you can effectively bring real-time data from across the enterprise to a database that can serve your APIs, services, and queries - resulting in faster data access and accelerated app development for a better customer experience. In this 45 minute online session, we’ll cover: Customer challenges Modern architecture with MongoDB Confluent: the platform to set data in motion MongoDB connector for Apache Kafka Fleet management demo We’ll then have 15 minutes for Q&A with our experts. Timezones: 9:30am Mumbai 12pm Singapore / Hong Kong 2pm Sydney 4pm Auckland Don’t miss this opportunity to hear customer stories from our experts. Reserve your spot today!
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Stream me to the Cloud (and back) with Confluent & MongoDB
By:
Type: Video
Companies collect and store their data in various data stores and use a number of business applications and services to access, analyze and act on their data. Pulling all the data from disparate sources is difficult to manage, inefficient and ineffective in producing results. Event streaming and stream processing changes this paradigm. By enabling robust and reactive data pipelines between all your data stores, apps and services, you can make real-time decisions that are critical to your business. In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming. Based upon a sample retail business scenario, we will explain how changes in an on-premise database are streamed via the Confluent Cloud to MongoDB Atlas and back. Key Learnings Modernize your architecture without revolutionizing it. Stream your data from multiple applications and data centers into the Cloud and back Confluent as the Central Nervous System of your architecture MongoDB Atlas as the flexible and scalable Modern Data Platform combining data from different sources and powering your frontend applications Why MongoDB and Confluent is such a great combination This architectural approach will allow you to dynamically scale the customer facing frontend, avoid over provisioning and enable the development team to rapidly implement new functionality which will differentiate you from your competition
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Stream me to the Cloud (and back) with Confluent & MongoDB
By:
Type: Replay
Companies collect and store their data in various data stores and use a number of business applications and services to access, analyze and act on their data. Pulling all the data from disparate sources is difficult to manage, inefficient and ineffective in producing results. Event streaming and stream processing changes this paradigm. By enabling robust and reactive data pipelines between all your data stores, apps and services, you can make real-time decisions that are critical to your business. In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming. Based upon a sample retail business scenario, we will explain how changes in an on-premise database are streamed via the Confluent Cloud to MongoDB Atlas and back. Key Learnings Modernize your architecture without revolutionizing it. Stream your data from multiple applications and data centers into the Cloud and back Confluent as the Central Nervous System of your architecture MongoDB Atlas as the flexible and scalable Modern Data Platform combining data from different sources and powering your frontend applications Why MongoDB and Confluent is such a great combination This architectural approach will allow you to dynamically scale the customer facing frontend, avoid over provisioning and enable the development team to rapidly implement new functionality which will differentiate you from your competition
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Stream me to the Cloud (and back) with Confluent & MongoDB
By:
Type: Replay
Companies collect and store their data in various data stores and use a number of business applications and services to access, analyze and act on their data. Pulling all the data from disparate sources is difficult to manage, inefficient and ineffective in producing results. Event streaming and stream processing changes this paradigm. By enabling robust and reactive data pipelines between all your data stores, apps and services, you can make real-time decisions that are critical to your business. In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming. Based upon a sample retail business scenario, we will explain how changes in an on-premise database are streamed via the Confluent Cloud to MongoDB Atlas and back. Key Learnings Modernize your architecture without revolutionizing it. Stream your data from multiple applications and data centers into the Cloud and back Confluent as the Central Nervous System of your architecture MongoDB Atlas as the flexible and scalable Modern Data Platform combining data from different sources and powering your frontend applications Why MongoDB and Confluent is such a great combination This architectural approach will allow you to dynamically scale the customer facing frontend, avoid over provisioning and enable the development team to rapidly implement new functionality which will differentiate you from your competition
-
Stream me to the Cloud (and back) with Confluent & MongoDB
By:
Type: Replay
Companies collect and store their data in various data stores and use a number of business applications and services to access, analyze and act on their data. Pulling all the data from disparate sources is difficult to manage, inefficient and ineffective in producing results. Event streaming and stream processing changes this paradigm. By enabling robust and reactive data pipelines between all your data stores, apps and services, you can make real-time decisions that are critical to your business. In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming. Based upon a sample retail business scenario, we will explain how changes in an on-premise database are streamed via the Confluent Cloud to MongoDB Atlas and back. Key Learnings Modernize your architecture without revolutionizing it. Stream your data from multiple applications and data centers into the Cloud and back Confluent as the Central Nervous System of your architecture MongoDB Atlas as the flexible and scalable Modern Data Platform combining data from different sources and powering your frontend applications Why MongoDB and Confluent is such a great combination This architectural approach will allow you to dynamically scale the customer facing frontend, avoid over provisioning and enable the development team to rapidly implement new functionality which will differentiate you from your competition
-
Stream me to the Cloud (and back) with Confluent & MongoDB
By:
Type: Replay
Companies collect and store their data in various data stores and use a number of business applications and services to access, analyze and act on their data. Pulling all the data from disparate sources is difficult to manage, inefficient and ineffective in producing results. Event streaming and stream processing changes this paradigm. By enabling robust and reactive data pipelines between all your data stores, apps and services, you can make real-time decisions that are critical to your business. In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming. Based upon a sample retail business scenario, we will explain how changes in an on-premise database are streamed via the Confluent Cloud to MongoDB Atlas and back. Key Learnings Modernize your architecture without revolutionizing it. Stream your data from multiple applications and data centers into the Cloud and back Confluent as the Central Nervous System of your architecture MongoDB Atlas as the flexible and scalable Modern Data Platform combining data from different sources and powering your frontend applications Why MongoDB and Confluent is such a great combination This architectural approach will allow you to dynamically scale the customer facing frontend, avoid over provisioning and enable the development team to rapidly implement new functionality which will differentiate you from your competition
-
Stream me to the Cloud (and back) with Confluent & MongoDB
By:
Type: Replay
Companies collect and store their data in various data stores and use a number of business applications and services to access, analyze and act on their data. Pulling all the data from disparate sources is difficult to manage, inefficient and ineffective in producing results. Event streaming and stream processing changes this paradigm. By enabling robust and reactive data pipelines between all your data stores, apps and services, you can make real-time decisions that are critical to your business. In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming. Based upon a sample retail business scenario, we will explain how changes in an on-premise database are streamed via the Confluent Cloud to MongoDB Atlas and back. Key Learnings Modernize your architecture without revolutionizing it. Stream your data from multiple applications and data centers into the Cloud and back Confluent as the Central Nervous System of your architecture MongoDB Atlas as the flexible and scalable Modern Data Platform combining data from different sources and powering your frontend applications Why MongoDB and Confluent is such a great combination This architectural approach will allow you to dynamically scale the customer facing frontend, avoid over provisioning and enable the development team to rapidly implement new functionality which will differentiate you from your competition
-
Stream me to the Cloud (and back) with Confluent & MongoDB
By:
Type: Replay
Companies collect and store their data in various data stores and use a number of business applications and services to access, analyze and act on their data. Pulling all the data from disparate sources is difficult to manage, inefficient and ineffective in producing results. Event streaming and stream processing changes this paradigm. By enabling robust and reactive data pipelines between all your data stores, apps and services, you can make real-time decisions that are critical to your business. In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming. Based upon a sample retail business scenario, we will explain how changes in an on-premise database are streamed via the Confluent Cloud to MongoDB Atlas and back. Key Learnings Modernize your architecture without revolutionizing it. Stream your data from multiple applications and data centers into the Cloud and back Confluent as the Central Nervous System of your architecture MongoDB Atlas as the flexible and scalable Modern Data Platform combining data from different sources and powering your frontend applications Why MongoDB and Confluent is such a great combination This architectural approach will allow you to dynamically scale the customer facing frontend, avoid over provisioning and enable the development team to rapidly implement new functionality which will differentiate you from your competition
-
Stream me to the Cloud (and back) with Confluent & MongoDB
By:
Type: Replay
Companies collect and store their data in various data stores and use a number of business applications and services to access, analyze and act on their data. Pulling all the data from disparate sources is difficult to manage, inefficient and ineffective in producing results. Event streaming and stream processing changes this paradigm. By enabling robust and reactive data pipelines between all your data stores, apps and services, you can make real-time decisions that are critical to your business. In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming. Based upon a sample retail business scenario, we will explain how changes in an on-premise database are streamed via the Confluent Cloud to MongoDB Atlas and back. Key Learnings Modernize your architecture without revolutionizing it. Stream your data from multiple applications and data centers into the Cloud and back Confluent as the Central Nervous System of your architecture MongoDB Atlas as the flexible and scalable Modern Data Platform combining data from different sources and powering your frontend applications Why MongoDB and Confluent is such a great combination This architectural approach will allow you to dynamically scale the customer facing frontend, avoid over provisioning and enable the development team to rapidly implement new functionality which will differentiate you from your competition
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Google, Fortinet Finacle, and MongoDB, talk content marketing
By: Informa TechTarget
Type: BrightTALK Webinar
In your overall content marketing strategy, partners present a key means of gaining fresh perspectives. In this BirghtTALK webinar, Google Cloud ‘s Amy Catalano, joins with experts from Fortinet Finacle, and MongoDB, to discuss effective ways to develop partner content. Watch now to learn more.
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How to Build Streaming Pipelines for Cloud Databases
By:
Type: Video
Data pipelines do much of the heavy lifting in organisations for integrating, transforming, and preparing the data for subsequent use in downstream systems for operational use cases. Despite being critical to the data value stream, data pipelines fundamentally haven’t evolved in the last few decades. These legacy pipelines are holding organisations back from getting value from their data as real-time streaming becomes essential. This webinar will walk through the story of a bank that uses an Oracle database to store sensitive customer information and RabbitMQ as the message broker for credit card transaction events. Their goal is to perform real-time analysis on credit card transactions to flag fraudulent transactions and push suspicious activity flags to MongoDB Atlas, their modern cloud-native database that powers their in-app mobile notifications. To illustrate this use case, you’ll see a live demo of: • Confluent’s fully managed connectors for Oracle CDC Source and RabbitMQ Source to stream the data in real-time ksqlDB to merge the two data sources, generating a unified view of customers and their credit card activity and flagging fraudulent transactions • The fully managed MongoDB Atlas sink connector to load the aggregated and transformed data into MongoDB Atlas • Along with the live demo and customer use case, you’ll learn about the challenges with batch-based data pipelines and the benefits of streaming data pipelines to power modern data flows.
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How to Build Streaming Pipelines for Cloud Databases
By:
Type: Replay
Data pipelines do much of the heavy lifting in organisations for integrating, transforming, and preparing the data for subsequent use in downstream systems for operational use cases. Despite being critical to the data value stream, data pipelines fundamentally haven’t evolved in the last few decades. These legacy pipelines are holding organisations back from getting value from their data as real-time streaming becomes essential. This webinar will walk through the story of a bank that uses an Oracle database to store sensitive customer information and RabbitMQ as the message broker for credit card transaction events. Their goal is to perform real-time analysis on credit card transactions to flag fraudulent transactions and push suspicious activity flags to MongoDB Atlas, their modern cloud-native database that powers their in-app mobile notifications. To illustrate this use case, you’ll see a live demo of: • Confluent’s fully managed connectors for Oracle CDC Source and RabbitMQ Source to stream the data in real-time ksqlDB to merge the two data sources, generating a unified view of customers and their credit card activity and flagging fraudulent transactions • The fully managed MongoDB Atlas sink connector to load the aggregated and transformed data into MongoDB Atlas • Along with the live demo and customer use case, you’ll learn about the challenges with batch-based data pipelines and the benefits of streaming data pipelines to power modern data flows.
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How to Build Streaming Pipelines for Cloud Databases
By:
Type: Replay
Data pipelines do much of the heavy lifting in organisations for integrating, transforming, and preparing the data for subsequent use in downstream systems for operational use cases. Despite being critical to the data value stream, data pipelines fundamentally haven’t evolved in the last few decades. These legacy pipelines are holding organisations back from getting value from their data as real-time streaming becomes essential. This webinar will walk through the story of a bank that uses an Oracle database to store sensitive customer information and RabbitMQ as the message broker for credit card transaction events. Their goal is to perform real-time analysis on credit card transactions to flag fraudulent transactions and push suspicious activity flags to MongoDB Atlas, their modern cloud-native database that powers their in-app mobile notifications. To illustrate this use case, you’ll see a live demo of: • Confluent’s fully managed connectors for Oracle CDC Source and RabbitMQ Source to stream the data in real-time ksqlDB to merge the two data sources, generating a unified view of customers and their credit card activity and flagging fraudulent transactions • The fully managed MongoDB Atlas sink connector to load the aggregated and transformed data into MongoDB Atlas • Along with the live demo and customer use case, you’ll learn about the challenges with batch-based data pipelines and the benefits of streaming data pipelines to power modern data flows.
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A Computer Weekly buyer's guide to NoSQL
By: TechTarget ComputerWeekly.com
Type: eBook
There's a lot of data out there, much of which doesn't need to be stored in heavyweight relational databases complete with complex query languages. In this 13-page buyer's guide, Computer Weekly looks at a new category of NoSQL data stores and how they are being used.
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Building an Enterprise Eventing Framework
By:
Type: Video
Learn how Centene improved their ability to interact and engage with healthcare providers in real time with MongoDB and Confluent Platform. Centene is fundamentally modernizing its legacy monolithic systems to support distributed, real-time event-driven healthcare information processing. A key part of their architecture is the development of a universal eventing framework designed to accommodate transformation into an event-driven architecture (EDA). The business requirements within Centene's claims adjudication domain were solved leveraging the Kafka Stream DSL, Confluent Platform and MongoDB. Most importantly, Centene discusses how they plan on leveraging this framework to change their culture from batch processing to real-time stream processing.
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Building an Enterprise Eventing Framework
By:
Type: Replay
Learn how Centene improved their ability to interact and engage with healthcare providers in real time with MongoDB and Confluent Platform. Centene is fundamentally modernizing its legacy monolithic systems to support distributed, real-time event-driven healthcare information processing. A key part of their architecture is the development of a universal eventing framework designed to accommodate transformation into an event-driven architecture (EDA). The business requirements within Centene's claims adjudication domain were solved leveraging the Kafka Stream DSL, Confluent Platform and MongoDB. Most importantly, Centene discusses how they plan on leveraging this framework to change their culture from batch processing to real-time stream processing.
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Friday Flows Episode 15: Automating with Database Integrations
By:
Type: Video
Data enrichment can come from many different places. Often this information resides inside of internal databases. The process to get this data can be complicated today. You may have to install ODBC connectors and then start writing it out in code. Sometimes you can use a management tool, like SQL Management Studio, which has great displays, but take up a lot of memory on your computer. Instead, Tines can connect to these data sources so the automation pipeline can include customer specific data points. Jesse Strivelli runs through a few different Story examples, including pulling data from Amazon Web Services (AWS), MongoDB, Snowflake, and Amazon DynamoDB.
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Improving Your DataOps Practices with Data Fabric.
By:
Type: Replay
Today's enterprises struggle to unlock real value out of data that is stuck in legacy relational databases, data warehouses and data lakes. Modernizing disparate data silos to a single data fabric is key to managing change over time and creating data-driven innovation and value. Join this session to learn how you can build a modern data fabric leveraging the Lumada DataOps Suite from Hitachi Vantara along with MongoDB Atlas. In addition, hear from a utility customer that is reaping the benefits of the data fabric and see a demo of how you can create a modern data pipeline to drive great enterprise data value.
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Improving Your DataOps Practices with Data Fabric
By:
Type: Talk
Today's enterprises struggle to unlock real value out of data that is stuck in legacy relational databases, data warehouses and data lakes. Modernizing disparate data silos to a single data fabric is key to managing change over time and creating data-driven innovation and value. Join this session to learn how you can build a modern data fabric leveraging the Lumada DataOps Suite from Hitachi Vantara along with MongoDB Atlas. In addition, hear from a utility customer that is reaping the benefits of the data fabric and see a demo of how you can create a modern data pipeline to drive great enterprise data value.
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Improving Your DataOps Practices with Data Fabric
By:
Type: Talk
Today's enterprises struggle to unlock real value out of data that is stuck in legacy relational databases, data warehouses and data lakes. Modernizing disparate data silos to a single data fabric is key to managing change over time and creating data-driven innovation and value. Join this session to learn how you can build a modern data fabric leveraging the Lumada DataOps Suite from Hitachi Vantara along with MongoDB Atlas. In addition, hear from a utility customer that is reaping the benefits of the data fabric and see a demo of how you can create a modern data pipeline to drive great enterprise data value.
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Improving Your DataOps Practices with Data Fabric
By:
Type: Talk
Today's enterprises struggle to unlock real value out of data that is stuck in legacy relational databases, data warehouses and data lakes. Modernizing disparate data silos to a single data fabric is key to managing change over time and creating data-driven innovation and value. Join this session to learn how you can build a modern data fabric leveraging the Lumada DataOps Suite from Hitachi Vantara along with MongoDB Atlas. In addition, hear from a utility customer that is reaping the benefits of the data fabric and see a demo of how you can create a modern data pipeline to drive great enterprise data value.
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How to Migrate Your Most Challenging Workloads to Azure with Confidence
By:
Type: Video
Are you dragging your feet on migrating storage-intensive workloads to the cloud? Despite the wide range of storage options available for the cloud, many enterprises find it difficult to get everything that their Oracle, SQL, MySQL, MongoDB and other databases require. If the cloud storage delivers enough performance, it’s often too expensive and cumbersome to manage at scale. And it may not offer the essential enterprise data services for resiliency and data protection. In this informative, on-demand webinar featuring technical experts from Microsoft, Sycomp and Lightsbits, discuss migration to the cloud. What You'll Learn: - The strengths and limitations of the storage options available on Azure today - How a SAN in the Cloud approach can streamline provisioning and optimize operations - How to maintain performance and control cloud charges as your applications scale - What data services you need to make your cloud environment more resilient
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Streamline Database Management with Hybrid Multicloud DBaaS
By: Nutanix
Type: White Paper
Nutanix Database Service empowers platform engineering teams to build multi-engine database services and gives developers fast access to databases. It streamlines database administration, delivers reliable performance, and provides security for databases across on-premises and public clouds. Learn more in the white paper.
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The Founders’ Take: Strategies for Start-Ups & Scaling Up
By:
Type: Replay
DoubleClick. MongoDB. Gilt Groupe. Business Insider. Zola.com. Nomad Health. And so many more. Join Kevin Ryan (the “Godfather” of NYC Tech) and Aleksandr Yampolskiy (CEO & CO-Founder SecurityScorecard) for this webinar discussing the: - Ideas worth incubating in the NYC tech space in 2024 and beyond - Broader trends to note in what may be the next innovative start-ups - Lessons learned in scaling up across various stages of building an enterprise Save your seat today!
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Boost database performance and reduce costs with caching
By: Amazon Web Services
Type: White Paper
This white paper explores how Amazon ElastiCache for Redis can optimize costs and boost performance for RDS for MySQL databases. It covers caching strategies, implementation approaches, and potential cost savings of up to 55% with up to 80x faster read performance. Enhance your database architecture by reading this insightful white paper.
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How to choose a database for your mobile apps
By: Couchbase
Type: White Paper
Consumers rely on mobile applications, even when there is no internet connection. To help you provide the always-on experience customers demand, database solutions like Couchbase Mobile have added synchronization and offline capabilities to their mobile database offerings. This white paper helps you choose the best mobile database for your needs.
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Nutanixデータベースサービスでデータベース管理を簡素化し、クラウドをまたがる開発を加速
By:
Type: Video
本セッションは、2022年10月に開催したNutanix Xperience JAPAN からデータベース管理に関する内容をお届けいたします。 Nutanixデータベースサービス(NDB)が、Microsoft SQL Server、Oracle Database、PostgreSQL、MySQL、MongoDBデータベースのオンプレミスおよびパブリッククラウドにおけるデータベースのライフサイクル管理を、どのようにシンプル化・自動化するかについてご紹介します。また、NDBがどのようにデータベースの展開を簡単、高速、かつ安全に行い、アプリケーション開発を加速させるかについてもご紹介します。
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Computer Weekly 22 January 2019: Moving beyond network boundaries
By: TechTarget ComputerWeekly.com
Type: Ezine
In this week's Computer Weekly, we look at how businesses are adapting to the challenges of perimeterless network security. We examine how digital transformation is bringing increased complications for identity and access management. And we ask if public cloud providers are a threat to the funding model for open source software. Read the issue now.
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New wave BI and analytics: turning modern data stores to account
By: TechTarget ComputerWeekly.com
Type: eGuide
This e-guide looks at how companies and other organisations are doing BI and analytics on the newer data stores.
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Simplify Operations with GemFire Management Console
By:
Type: Talk
VMware GemFire is a powerful in-memory database for low latency applications. Customers around the world rely on GemFire for its consistency, reliability, and scalability. In this webinar, you will be introduced to the exciting new GemFire Management Console. You will learn how developers and operators can configure, manage, and monitor GemFire clusters. A single console can provide insight across an entire fleet of GemFire deployments. Don't miss this opportunity to be among the first to see these brand new capabilities in action. See you there!
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Developing and Activating Your Content Strategy With and Through Partners
By:
Type: Talk
Building the content strategy of a partner solution is often complex – it involves a multitude of influencers and decision makers, consuming a range of content in different environments and formats. As a result, Partner Marketing teams are charged with the challenge of developing content that maps to these decision makers based on their role, function, industry, company size and other factors. Join Aimee Catalano, Marketing Executive at Google Cloud as she sits down with Partner Marketing executives Xander Uyleman of MongoDB, Kimberly Payton of Infosys Finacle and Mishel Fletcher of Fortinet. They will share insights on effective ways to build joint content with partners. This session will address: • Ways to uncover the key ideal customer personas that content must align to. • The types of assets that must be developed for any strategic partnership. • The macro and micro strategy to successfully deploying and activating content.