This document discusses how retail banks can use MongoDB to address key challenges:
1) Changing regulations require agile systems that can adapt quickly.
2) Synchronizing global customer data in real-time is difficult due to latency issues.
3) Providing a 360-degree view of customers across channels is a challenge with siloed systems.
The case study describes how Infusion and MongoDB helped MetLife build a single customer view application in 90 days that aggregated data from 70 systems, providing a more holistic customer experience. This project demonstrated how acting like a startup can help large companies move faster.
How Financial Services Organizations Use MongoDBMongoDB
MongoDB is the alternative that allows you to efficiently create and consume data, rapidly and securely, no matter how it is structured across channels and products, and makes it easy to aggregate data from multiple systems, while lowering TCO and delivering applications faster.
Learn how Financial Services Organizations are Using MongoDB with this presentation.
Presented by Claudius Li, Solutions Architect at MongoDB, at MongoDB Evenings New England 2017.
MongoDB Atlas is the premier database as a service offering. Find out how MongoDB Atlas can help your team to deploy more easily, develop faster and easily manage deployment, maintenance, upgrades and expansions. We will also demonstrate some of the key features and tools that come with MongoDB Atlas.
Intro to MongoDB
Get a jumpstart on MongoDB, use cases, and next steps for building your first app with Buzz Moschetti, MongoDB Enterprise Architect.
@BuzzMoschetti
In this presentation, we will do assess the on-premises environment and determining what workloads and databases are ready to make the move and what can you do to improve their Azure readiness while reducing downtime during the migration. Planning and assessment plays a critical role in moving to the cloud. We would see wide range of resources and tools to get an assessment completed with ease while identifying workload dependencies with practical tips and tricks focusing on sizing and costs. And finally, we’ll assess the SQL instances and identify their readiness for Azure as well.
Jane Uyvova
Senior Solutions Architect, MongoDB
March 21, 2017
MongoDB Evenings San Francisco
Learn how easy it is to set up, operate, and scale your MongoDB deployments in the cloud with MongoDB Atlas.
Slides: NoSQL Data Modeling Using JSON Documents – A Practical ApproachDATAVERSITY
After three decades of relational data modeling, everyone’s pretty comfortable with schemas, tables, and entity-relationships. As more and more Global 2000 companies choose NoSQL databases to power their Digital Economy applications, they need to think about how to best model their data. How do they move from a constrained, table-driven model to an agile, flexible data model based on JSON documents?
This webinar is intended for architects and application developers who want to learn about new JSON document data modeling approaches, techniques, and best practices. This webinar will show you how to get started building a JSON document data model, how to migrate a table-based data model to JSON documents, and how to optimize your design to enable fast query performance.
This webinar will provide practical, experience-based advice and best practices for modeling JSON documents, including:
- When to embed or not embed objects in your JSON document
- Data modeling using a practical data access pattern approach
- Indexing your JSON documents
- Querying your data using N1QL (SQL for JSON)
How Financial Services Organizations Use MongoDBMongoDB
MongoDB is the alternative that allows you to efficiently create and consume data, rapidly and securely, no matter how it is structured across channels and products, and makes it easy to aggregate data from multiple systems, while lowering TCO and delivering applications faster.
Learn how Financial Services Organizations are Using MongoDB with this presentation.
Presented by Claudius Li, Solutions Architect at MongoDB, at MongoDB Evenings New England 2017.
MongoDB Atlas is the premier database as a service offering. Find out how MongoDB Atlas can help your team to deploy more easily, develop faster and easily manage deployment, maintenance, upgrades and expansions. We will also demonstrate some of the key features and tools that come with MongoDB Atlas.
Intro to MongoDB
Get a jumpstart on MongoDB, use cases, and next steps for building your first app with Buzz Moschetti, MongoDB Enterprise Architect.
@BuzzMoschetti
In this presentation, we will do assess the on-premises environment and determining what workloads and databases are ready to make the move and what can you do to improve their Azure readiness while reducing downtime during the migration. Planning and assessment plays a critical role in moving to the cloud. We would see wide range of resources and tools to get an assessment completed with ease while identifying workload dependencies with practical tips and tricks focusing on sizing and costs. And finally, we’ll assess the SQL instances and identify their readiness for Azure as well.
Jane Uyvova
Senior Solutions Architect, MongoDB
March 21, 2017
MongoDB Evenings San Francisco
Learn how easy it is to set up, operate, and scale your MongoDB deployments in the cloud with MongoDB Atlas.
Slides: NoSQL Data Modeling Using JSON Documents – A Practical ApproachDATAVERSITY
After three decades of relational data modeling, everyone’s pretty comfortable with schemas, tables, and entity-relationships. As more and more Global 2000 companies choose NoSQL databases to power their Digital Economy applications, they need to think about how to best model their data. How do they move from a constrained, table-driven model to an agile, flexible data model based on JSON documents?
This webinar is intended for architects and application developers who want to learn about new JSON document data modeling approaches, techniques, and best practices. This webinar will show you how to get started building a JSON document data model, how to migrate a table-based data model to JSON documents, and how to optimize your design to enable fast query performance.
This webinar will provide practical, experience-based advice and best practices for modeling JSON documents, including:
- When to embed or not embed objects in your JSON document
- Data modeling using a practical data access pattern approach
- Indexing your JSON documents
- Querying your data using N1QL (SQL for JSON)
How we solved Real-time User Segmentation using HBaseDataWorks Summit
At RichRelevance, we service 10 of the top 20 Internet retailer chains and deliver more than $5.5 billions in attributable sales. Every 21 milliseconds a shopper clicks on a recommendation that we have delivered, and we serve over 850 million product recommendations daily. Our Hadoop infrastructure has a capacity to handle upwards of 1.5+ PB. Behavioral Targeting, specifically user segmentation and building personas, is critical for us in generating triggers when a user is added to a segment or switches from a segment. In this presentation, we intend to demonstrate not only how the events are captured, but also how they are stored in HBase in real-time. It is critical to design the system so it can handle thousands of writes per second and, at the same time, be able to query any combination of behavioral attributes in HBase through real-time APIs. This session will walk attendees through the entire design & architecture starting from data Ingestion, schema design, and access patterns, as well as some major problems like sharing & hot spotting. Furthermore, performance metrics will be presented, including the number of read/write per second and details around cluster configuration.
Building Cloud-Native App Series - Part 2 of 11
Microservices Architecture Series
Event Sourcing & CQRS,
Kafka, Rabbit MQ
Case Studies (E-Commerce App, Movie Streaming, Ticket Booking, Restaurant, Hospital Management)
In this technical overview of Azure Cosmos DB you will learn how easy it is to get started building planet-scale applications with Azure Cosmos DB. We’ll then take a closer look at important design aspects around global distribution, consistency, and server-side partitioning. How to model your data to fit your app’s needs using tools and APIs you love.
Streaming all over the world Real life use cases with Kafka Streamsconfluent
Streaming all over the world Real life use cases with Kafka Streams, Dr. Benedikt Linse, Senior Solutions Architect, Confluent
https://www.meetup.com/Apache-Kafka-Germany-Munich/events/281819704/
Data Lakehouse Symposium | Day 1 | Part 2Databricks
The world of data architecture began with applications. Next came data warehouses. Then text was organized into a data warehouse.
Then one day the world discovered a whole new kind of data that was being generated by organizations. The world found that machines generated data that could be transformed into valuable insights. This was the origin of what is today called the data lakehouse. The evolution of data architecture continues today.
Come listen to industry experts describe this transformation of ordinary data into a data architecture that is invaluable to business. Simply put, organizations that take data architecture seriously are going to be at the forefront of business tomorrow.
This is an educational event.
Several of the authors of the book Building the Data Lakehouse will be presenting at this symposium.
In this webinar you'll learn about the best practices for Google BigQuery—and how Matillion ETL makes loading your data faster and easier. Find out from our experts how to leverage one of the largest, fastest, and most capable cloud data warehouses to improve your business and save money.
In this webinar:
- Discover how to work fast and efficiently with Google BigQuery
- Find out the best ways to monitor and control costs
- Learn to leverage Matillion ETL and optimize Google BigQuery
- Get tips and tricks for better performance
MongoDB Atlas makes it easy to set up, operate, and scale your MongoDB deployments in the cloud. From high availability to scalability, security to disaster recovery - we've got you covered.
Automated: With MongoDB Atlas, you no longer need to worry about operational tasks such as provisioning, configuration, patching, upgrades, backups, and failure recovery. MongoDB Atlas provides the functionality and reliability you need, at the click of a button.
Flexible: Only MongoDB Atlas combines the critical capabilities of relational databases with the innovations of NoSQL. Radically simplify development and operations by delivering a diverse range of capabilities in a single, managed database platform.
Secure: MongoDB Atlas provides multiple levels of security for your database. These include robust access control, network isolation using Amazon VPC, IP whitelists, encryption of data in-flight using TLS/SSL, and optional encryption of the underlying filesystem.
Scalable: MongoDB Atlas grows with you, all with the click of a button. You can scale up across a range of instance sizes, and scale-out with automatic sharding. And you can do it with zero application downtime.
Highly Available: MongoDB Atlas is designed to offer exceptional uptime. Recovery from instance failures is transparent and fully automated. A minimum of three copies of your data are replicated across availability zones and continuously backed up.
High Performance: MongoDB Atlas provides high throughput and low latency for the most demanding workloads. Consistent, predictable performance eliminates the need for separate caching tiers, and delivers a far better price-performance ratio compared to traditional database software.
Building Cloud-Native App Series - Part 11 of 11
Microservices Architecture Series
Service Mesh - Observability
- Zipkin
- Prometheus
- Grafana
- Kiali
Webinar: How Financial Services Organizations Use MongoDBMongoDB
The finance industry is facing major strain on existing IT infrastructure, systems, and design practices:
New pressures and industry regulation have meant increased volume, consolidation & reconciliation, and variability of data
Mobile and other channels demand significantly more flexible programming and data design environments
Improvements in operational efficiency and cost containment is ever increasing
MongoDB is the alternative that allows you to efficiently create and consume data, rapidly and securely, no matter how it is structured across channels and products and make it easy to aggregate data from multiple systems, while lowering TCO and delivering applications faster.
In this session, we will present on common MongoDB use cases including, but not limited to:
Risk Analytics & Reporting
Tick Data Capture & Analysis
Product Catalogues
Cross-Asset Class Trade Stores
Reference Data Management
Private DBaaS
How we solved Real-time User Segmentation using HBaseDataWorks Summit
At RichRelevance, we service 10 of the top 20 Internet retailer chains and deliver more than $5.5 billions in attributable sales. Every 21 milliseconds a shopper clicks on a recommendation that we have delivered, and we serve over 850 million product recommendations daily. Our Hadoop infrastructure has a capacity to handle upwards of 1.5+ PB. Behavioral Targeting, specifically user segmentation and building personas, is critical for us in generating triggers when a user is added to a segment or switches from a segment. In this presentation, we intend to demonstrate not only how the events are captured, but also how they are stored in HBase in real-time. It is critical to design the system so it can handle thousands of writes per second and, at the same time, be able to query any combination of behavioral attributes in HBase through real-time APIs. This session will walk attendees through the entire design & architecture starting from data Ingestion, schema design, and access patterns, as well as some major problems like sharing & hot spotting. Furthermore, performance metrics will be presented, including the number of read/write per second and details around cluster configuration.
Building Cloud-Native App Series - Part 2 of 11
Microservices Architecture Series
Event Sourcing & CQRS,
Kafka, Rabbit MQ
Case Studies (E-Commerce App, Movie Streaming, Ticket Booking, Restaurant, Hospital Management)
In this technical overview of Azure Cosmos DB you will learn how easy it is to get started building planet-scale applications with Azure Cosmos DB. We’ll then take a closer look at important design aspects around global distribution, consistency, and server-side partitioning. How to model your data to fit your app’s needs using tools and APIs you love.
Streaming all over the world Real life use cases with Kafka Streamsconfluent
Streaming all over the world Real life use cases with Kafka Streams, Dr. Benedikt Linse, Senior Solutions Architect, Confluent
https://www.meetup.com/Apache-Kafka-Germany-Munich/events/281819704/
Data Lakehouse Symposium | Day 1 | Part 2Databricks
The world of data architecture began with applications. Next came data warehouses. Then text was organized into a data warehouse.
Then one day the world discovered a whole new kind of data that was being generated by organizations. The world found that machines generated data that could be transformed into valuable insights. This was the origin of what is today called the data lakehouse. The evolution of data architecture continues today.
Come listen to industry experts describe this transformation of ordinary data into a data architecture that is invaluable to business. Simply put, organizations that take data architecture seriously are going to be at the forefront of business tomorrow.
This is an educational event.
Several of the authors of the book Building the Data Lakehouse will be presenting at this symposium.
In this webinar you'll learn about the best practices for Google BigQuery—and how Matillion ETL makes loading your data faster and easier. Find out from our experts how to leverage one of the largest, fastest, and most capable cloud data warehouses to improve your business and save money.
In this webinar:
- Discover how to work fast and efficiently with Google BigQuery
- Find out the best ways to monitor and control costs
- Learn to leverage Matillion ETL and optimize Google BigQuery
- Get tips and tricks for better performance
MongoDB Atlas makes it easy to set up, operate, and scale your MongoDB deployments in the cloud. From high availability to scalability, security to disaster recovery - we've got you covered.
Automated: With MongoDB Atlas, you no longer need to worry about operational tasks such as provisioning, configuration, patching, upgrades, backups, and failure recovery. MongoDB Atlas provides the functionality and reliability you need, at the click of a button.
Flexible: Only MongoDB Atlas combines the critical capabilities of relational databases with the innovations of NoSQL. Radically simplify development and operations by delivering a diverse range of capabilities in a single, managed database platform.
Secure: MongoDB Atlas provides multiple levels of security for your database. These include robust access control, network isolation using Amazon VPC, IP whitelists, encryption of data in-flight using TLS/SSL, and optional encryption of the underlying filesystem.
Scalable: MongoDB Atlas grows with you, all with the click of a button. You can scale up across a range of instance sizes, and scale-out with automatic sharding. And you can do it with zero application downtime.
Highly Available: MongoDB Atlas is designed to offer exceptional uptime. Recovery from instance failures is transparent and fully automated. A minimum of three copies of your data are replicated across availability zones and continuously backed up.
High Performance: MongoDB Atlas provides high throughput and low latency for the most demanding workloads. Consistent, predictable performance eliminates the need for separate caching tiers, and delivers a far better price-performance ratio compared to traditional database software.
Building Cloud-Native App Series - Part 11 of 11
Microservices Architecture Series
Service Mesh - Observability
- Zipkin
- Prometheus
- Grafana
- Kiali
Webinar: How Financial Services Organizations Use MongoDBMongoDB
The finance industry is facing major strain on existing IT infrastructure, systems, and design practices:
New pressures and industry regulation have meant increased volume, consolidation & reconciliation, and variability of data
Mobile and other channels demand significantly more flexible programming and data design environments
Improvements in operational efficiency and cost containment is ever increasing
MongoDB is the alternative that allows you to efficiently create and consume data, rapidly and securely, no matter how it is structured across channels and products and make it easy to aggregate data from multiple systems, while lowering TCO and delivering applications faster.
In this session, we will present on common MongoDB use cases including, but not limited to:
Risk Analytics & Reporting
Tick Data Capture & Analysis
Product Catalogues
Cross-Asset Class Trade Stores
Reference Data Management
Private DBaaS
Webinar: Making A Single View of the Customer Real with MongoDBMongoDB
Tier 1 banks, top insurance providers and other global financial services institutions have discovered that with the use of MongoDB, they are able to achieve a single view of the customer. This allows them not only to comply with KYC and other regulations, but also to engage customers efficiently, which helps reduce churn and increase wallet share while reducing costs. We will focus on how MongoDB's dynamic schema, real-time replication and auto-scaling make it possible to create a global, unified data hub aggregating disparate data sources, which can be made available to customers, customer service representatives (CSRs), and relationship managers (RMs).
Webinar: How to Drive Business Value in Financial Services with MongoDBMongoDB
Huge upheaval in the finance industry has led to a major strain on existing IT infrastructure and systems. New finance industry regulation has meant increased volume, velocity and variability of data. This coupled with cost pressures from the business has led these institutions to seek alternatives. Top tier institutions like MetLife have turned to MongoDB because of the enormous business value it enables.
In this session, hear how MongoDB enabled these successful real world examples:
Single View of a Customer - 3 months and $2M for a single view of a customer across 50 source systems
Reference Data Management - $40M in cost savings from migrating to MongoDB for reference data management
Private cloud - MongoDB as a PaaS across a tier 1 bank for enabling agility for operations, not just the developer
The use cases are specific to financial services but the patterns of usage - agility, scale, global distribution - will be applicable across many industries.
Webinar: How Financial Firms Create a Single Customer View with MongoDBMongoDB
Learn why a tier 1 bank, top 5 insurance provider and other global financial services companies are flocking to MongoDB. This webinar focuses on how firms use MongoDB to generate a single customer view not only to comply with KYC and other regulations, but also to engage customers efficiently, which helps reduce churn and increase wallet share while still reducing costs. We will focus on how MongoDB's dynamic schema, real-time replication and auto-scaling make it possible to create a global, unified data hub aggregating disparate data sources, which can be made available to customers, customer service representatives (CSRs), and relationship managers (RMs).
During this presentation, Infusion and MongoDB shared their mainframe optimization experiences and best practices. These have been gained from working with a variety of organizations, including a case study from one of the world’s largest banks. MongoDB and Infusion bring a tested approach that provides a new way of modernizing mainframe applications, while keeping pace with the demand for new digital services.
Webinar: How to Drive Business Value in Financial Services with MongoDBMongoDB
Huge upheaval in the finance industry has led to a major strain on existing IT infrastructure and systems. New finance industry regulation has meant increased volume, velocity and variability of data, so-called Big Data. This coupled with cost pressures from the business has led these institutions to seek alternatives. Top tier institutions like MetLife have turned to MongoDB because of the enormous business value it enables.
In this session, learn where and how you should use MongoDB to get the maximum value including specific case studies such as saving $40M in one project.
The use cases are specific to financial services but the patterns of usage - agility, scale, global distribution - will be applicable across many industries.
Mobility: It's Time to Be Available for HERMongoDB
In order to meet the needs of the digitally-oriented consumer, retailers need to offer personalized service in real-time. By embracing mobile to deliver an integrated experience to customers, retailers can open new business opportunities.
Yet, for many traditional retailers, providing a seamless experience across mobile and other channels presents challenges due to the limitations of legacy technology infrastructure and the ability to act in ‘real-time’. However, a new class of database technology is emerging that enables retailers to support new business requirements, improve customer experience and reduce cost. In the next session of webinar series - Omni-Channel Retailing: One-Step-at a Time you will learn why more and more retailers and ecommerce players are turning to MongoDB as a choice for their mobile platforms. Based on existing customers you will learn:
How to meet the consumer where she is, whenever she wants - know where she is using geo-spatial services
Engage with her and provide a ‘real-time’ experience, tailored to her expectations - check-her in or ‘check-her out’ at the POS and provide the latest update
Deliver the most up-to-date information to your associates so they are empowered to serve the consumer when she engages with your brand - deliver the latest inventory information via mobile app to your employee
In this discussion, you learn the latest in business techniques and how you can take advantage of MongoDB to deliver another piece of Omni-channel imperative - meeting your customer - at her convenience.
In the world of big data, legacy modernization, siloed organizations, empowered customers, and mobile devices, making informed choices about your enterprise infrastructure has become more important than ever. The alternatives are abundant, and the successful Enterprise Architect must constantly discern which new technology is just a shiny object and which will add true business value.
tranSMART Community Meeting 5-7 Nov 13 - Session 2: MongoDB: What, Why And WhenDavid Peyruc
tranSMART Community Meeting 5-7 Nov 13 - Session 2: MongoDB: What, Why And When
Massimo Brignoli, MongoDB Inc
The presentation will illustrate what MongoDB is, the advantages of the document based approach and some of the use cases where MongoDB is a perfect fit.
How to Place Data at the Center of Digital Transformation in BFSIDenodo
Watch full webinar here: https://bit.ly/3j7E9Jo
Consumers are increasingly using digital banking tools and insurance models, and these numbers will only continue to grow. Financial and insurance organizations have to adapt to the new and always changing situation while complying with new regulations, such as IFRS17, and embracing ESG criteria.
At the heart of any digital transformation is data. Therefore, it is not a stretch to say that data management and analytics strategies differentiate many of the leaders from the laggards in the banking, financial services and insurance (BFSI) industry. BFSI organizations still relying on slow, traditional systems and data management processes will find themselves falling behind their competition. In addition, as many adopt cloud strategies, these traditional approaches fill the cloud modernization process with downtime and end user frustration. In fact, according to a McKinsey article, cloud combined with distributed data infrastructure will define how consumers and providers adopt digital insurance models for the next decade.
Hear how the BFSI industry is leveraging data virtualization to deploy data fabric or data mesh architectures for enterprise-wide digital transformation.
Join this webinar to learn:
- The latest trends in BFSI for 2023 and how data and analytics is reshaping the industry
- How a logical data architecture can help you capitalize on your data
- How Denodo customers digitally transformed themselves using the Denodo Platform
MongoDB .local Toronto 2019: MongoDB – Powering the new age data demandsMongoDB
To successfully implement our clients' unique use cases and data patterns, it is mandatory that we unlearn many relational concepts while designing and rapidly developing efficient applications in NoSQL.
In this session, we will talk about some of our client use cases and the strategies we adopted using features of MongoDB.
Accelerating Data-Driven Enterprise Transformation in Banking, Financial Serv...Denodo
Watch full webinar here: https://bit.ly/3c6v8K7
Banking, Financial Services and Insurance (BFSI) organizations are globally accelerating their digital journey, making rapid strides with their digitization efforts, and adding key capabilities to adapt and innovate in the new normal.
Many companies find digital transformation challenging as they rely on established systems that are often not only poorly integrated but also highly resistant to modernization without downtime. Hear how the BFSI industry is leveraging data virtualization that facilitates digital transformation via a modern data integration/data delivery approach to gain greater agility, flexibility, and efficiency.
In this session from Denodo, you will learn:
- Industry key trends and challenges driving the digital transformation mandate and platform modernization initiatives
- Key concepts of Data Virtualization, and how it can enable BFSI customers to develop critical capabilities for real-time / near real-time data integration
- Success Stories on organizations who already use data virtualization to differentiate themselves from the competition.
MongoDB is the leading NoSQL database due to a plenitude of reasons, open source, general purpose, document oriented database supported by a large community and educational platform. It's horizontal scalability features allows this to fit in the operational big data scenarios where the business needs point to realtime analytics and ever-increasing data sets. This talk will focus on the usage of MongoDB for big data operational purposes and why it's ideal to be used in such scenarios. Also integration with other notable big data technology out there like Hadoop and BI tools.
Norberto Leite - Senior Solutions Architect, @MongoDB.
Mongo DB presentation during the Pentaho & Big Data Ecosystem - Live Seminar 2013
Stream me to the Cloud (and back) with Confluent & MongoDBconfluent
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.
With the combination of Pentaho and MongoDB, it’s drastically simpler and faster to build single analytical views of clients by aggregating and blending data from a variety of internal sources (customer, transaction, position data) and external sources (social networking, central bank, news, pricing) with fast response times.
Webinar covers:
An insider’s view of new ways financial services companies are using MongoDB to rapidly store and consume unlimited shapes and sizes of data
How Pentaho makes it easy to enrich data in MongoDB with predictive scoring, visual data integration tools, reports, interactive dashboards, and data visualizations
A live demo of blending Twitter, equity pricing, and news data into a single analytical view that unlocks market intelligence to create investment opportunities
MongoDB SoCal 2020: Migrate Anything* to MongoDB AtlasMongoDB
During this talk we'll navigate through a customer's journey as they migrate an existing MongoDB deployment to MongoDB Atlas. While the migration itself can be as simple as a few clicks, the prep/post effort requires due diligence to ensure a smooth transfer. We'll cover these steps in detail and provide best practices. In addition, we’ll provide an overview of what to consider when migrating other cloud data stores, traditional databases and MongoDB imitations to MongoDB Atlas.
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!MongoDB
These days, everyone is expected to be a data analyst. But with so much data available, how can you make sense of it and be sure you're making the best decisions? One great approach is to use data visualizations. In this session, we take a complex dataset and show how the breadth of capabilities in MongoDB Charts can help you turn bits and bytes into insights.
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...MongoDB
MongoDB Kubernetes operator and MongoDB Open Service Broker are ready for production operations. Learn about how MongoDB can be used with the most popular container orchestration platform, Kubernetes, and bring self-service, persistent storage to your containerized applications. A demo will show you how easy it is to enable MongoDB clusters as an External Service using the Open Service Broker API for MongoDB
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDBMongoDB
Are you new to schema design for MongoDB, or are you looking for a more complete or agile process than what you are following currently? In this talk, we will guide you through the phases of a flexible methodology that you can apply to projects ranging from small to large with very demanding requirements.
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...MongoDB
Humana, like many companies, is tackling the challenge of creating real-time insights from data that is diverse and rapidly changing. This is our journey of how we used MongoDB to combined traditional batch approaches with streaming technologies to provide continues alerting capabilities from real-time data streams.
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series DataMongoDB
Time series data is increasingly at the heart of modern applications - think IoT, stock trading, clickstreams, social media, and more. With the move from batch to real time systems, the efficient capture and analysis of time series data can enable organizations to better detect and respond to events ahead of their competitors or to improve operational efficiency to reduce cost and risk. Working with time series data is often different from regular application data, and there are best practices you should observe.
This talk covers:
Common components of an IoT solution
The challenges involved with managing time-series data in IoT applications
Different schema designs, and how these affect memory and disk utilization – two critical factors in application performance.
How to query, analyze and present IoT time-series data using MongoDB Compass and MongoDB Charts
At the end of the session, you will have a better understanding of key best practices in managing IoT time-series data with MongoDB.
Join this talk and test session with a MongoDB Developer Advocate where you'll go over the setup, configuration, and deployment of an Atlas environment. Create a service that you can take back in a production-ready state and prepare to unleash your inner genius.
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]MongoDB
Our clients have unique use cases and data patterns that mandate the choice of a particular strategy. To implement these strategies, it is mandatory that we unlearn a lot of relational concepts while designing and rapidly developing efficient applications on NoSQL. In this session, we will talk about some of our client use cases, the strategies we have adopted, and the features of MongoDB that assisted in implementing these strategies.
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2MongoDB
Encryption is not a new concept to MongoDB. Encryption may occur in-transit (with TLS) and at-rest (with the encrypted storage engine). But MongoDB 4.2 introduces support for Client Side Encryption, ensuring the most sensitive data is encrypted before ever leaving the client application. Even full access to your MongoDB servers is not enough to decrypt this data. And better yet, Client Side Encryption can be enabled at the "flick of a switch".
This session covers using Client Side Encryption in your applications. This includes the necessary setup, how to encrypt data without sacrificing queryability, and what trade-offs to expect.
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...MongoDB
MongoDB Kubernetes operator is ready for prime-time. Learn about how MongoDB can be used with most popular orchestration platform, Kubernetes, and bring self-service, persistent storage to your containerized applications.
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!MongoDB
These days, everyone is expected to be a data analyst. But with so much data available, how can you make sense of it and be sure you're making the best decisions? One great approach is to use data visualizations. In this session, we take a complex dataset and show how the breadth of capabilities in MongoDB Charts can help you turn bits and bytes into insights.
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your MindsetMongoDB
When you need to model data, is your first instinct to start breaking it down into rows and columns? Mine used to be too. When you want to develop apps in a modern, agile way, NoSQL databases can be the best option. Come to this talk to learn how to take advantage of all that NoSQL databases have to offer and discover the benefits of changing your mindset from the legacy, tabular way of modeling data. We’ll compare and contrast the terms and concepts in SQL databases and MongoDB, explain the benefits of using MongoDB compared to SQL databases, and walk through data modeling basics so you feel confident as you begin using MongoDB.
MongoDB .local San Francisco 2020: MongoDB Atlas JumpstartMongoDB
Join this talk and test session with a MongoDB Developer Advocate where you'll go over the setup, configuration, and deployment of an Atlas environment. Create a service that you can take back in a production-ready state and prepare to unleash your inner genius.
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...MongoDB
Query performance should be the unsung hero of an application, but without proper configuration, can become a constant headache. When used properly, MongoDB provides extremely powerful querying capabilities. In this session, we'll discuss concepts like equality, sort, range, managing query predicates versus sequential predicates, and best practices to building multikey indexes.
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++MongoDB
Aggregation pipeline has been able to power your analysis of data since version 2.2. In 4.2 we added more power and now you can use it for more powerful queries, updates, and outputting your data to existing collections. Come hear how you can do everything with the pipeline, including single-view, ETL, data roll-ups and materialized views.
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...MongoDB
Are you new to schema design for MongoDB, or are you looking for a more complete or agile process than what you are following currently? In this talk, we will guide you through the phases of a flexible methodology that you can apply to projects ranging from small to large with very demanding requirements.
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep DiveMongoDB
MongoDB Atlas Data Lake is a new service offered by MongoDB Atlas. Many organizations store long term, archival data in cost-effective storage like S3, GCP, and Azure Blobs. However, many of them do not have robust systems or tools to effectively utilize large amounts of data to inform decision making. MongoDB Atlas Data Lake is a service allowing organizations to analyze their long-term data to discover a wealth of information about their business.
This session will take a deep dive into the features that are currently available in MongoDB Atlas Data Lake and how they are implemented. In addition, we'll discuss future plans and opportunities and offer ample Q&A time with the engineers on the project.
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & GolangMongoDB
Virtual assistants are becoming the new norm when it comes to daily life, with Amazon’s Alexa being the leader in the space. As a developer, not only do you need to make web and mobile compliant applications, but you need to be able to support virtual assistants like Alexa. However, the process isn’t quite the same between the platforms.
How do you handle requests? Where do you store your data and work with it to create meaningful responses with little delay? How much of your code needs to change between platforms?
In this session we’ll see how to design and develop applications known as Skills for Amazon Alexa powered devices using the Go programming language and MongoDB.
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...MongoDB
aux Core Data, appréciée par des centaines de milliers de développeurs. Apprenez ce qui rend Realm spécial et comment il peut être utilisé pour créer de meilleures applications plus rapidement.
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...MongoDB
Il n’a jamais été aussi facile de commander en ligne et de se faire livrer en moins de 48h très souvent gratuitement. Cette simplicité d’usage cache un marché complexe de plus de 8000 milliards de $.
La data est bien connu du monde de la Supply Chain (itinéraires, informations sur les marchandises, douanes,…), mais la valeur de ces données opérationnelles reste peu exploitée. En alliant expertise métier et Data Science, Upply redéfinit les fondamentaux de la Supply Chain en proposant à chacun des acteurs de surmonter la volatilité et l’inefficacité du marché.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
4. 4
MongoDB Overview
400+ employees 900+ customers
Over $231 million in funding
(More than other NoSQL vendors combined)
Offices in NY & Palo Alto and
across EMEA, and APAC
6. 6
• About MongoDB
– The Company
– The Database (MongoDB)
• The Community
• MongoDB in Financial Services
• Case Study – MongoDB as a Tick Store
Agenda
7. 7
MongoDB.
NoSQL Document based database.
Designed to build todays applications.
•Fast to build.
•Quick to adapt.
•Easy to scale
•Lessons learned from 40 years of RDBMS.
8. 8
Relational Model
PlanID BenFK Plan
100 1 PPO Plus
200 2 Standard
EmpID Name Dept Title Manage Payband
9950 Dunham,
Justin
500 1500 6531 C
EmpBenPlanID EmpFK PlanFK
1 9950 100
2 9950 200
BenID Benefit
1 Health
2 Dental
DeptID Department
500 Marketing
TitleID Title
1500 Product Manager
9. 9
Document Model
EmpID Name Dept Title Manage Payband Benefits
9950 Dunham,
Justin
Marketing Product
Manager
6531 C
EmpBenPlanID EmpFK PlanFK
1 9950 100
2 9950 200
Health PPO Plus
Dental Standard
PlanID BenFK Plan
100 Health PPO Plus
200 Dental Standard
10. 10
Document Model
EmpID Name Dept Title Manage Payband Benefits
9950 Dunham,
Justin
Marketing Product
Manager
6531 C Health PPO Plus
Dental Standard
11. 11
MongoDB - Agility
Dynamic Schemas
V 1.0 V 1.1 V 2.0
EmpID Name Dept Title Manager Payband Benefits
9950 Dunham,
Justin
Marketing Product
Manager
6531 C
EmpID Name Title Payband Bonus
9952 Joe White CEO E 20,000
EmpID Name Dept Title Manager Payband Shares
9531 Nearey,
Graham
Marketing Director 9952 D 5000
Health PPO Plus
Dental Standard
12. 12
Shell
Command-line shell for
interacting directly with
database
MongoDB - Usability
Drivers
Drivers for most popular
programming languages and
frameworks
> db.collection.insert({product:“MongoDB”,
type:“Document Database”})
>
> db.collection.findOne()
{
“_id” : ObjectId(“5106c1c2fc629bfe52792e86”),
“product” : “MongoDB”
“type” : “Document Database”
}
Java
Python
Perl
Ruby
Haskell
JavaScript
13. 13
“No SQL”, But Fully Featured
MongoDB
{ customer_id : 1,
first_name : "Mark",
last_name : "Smith",
city : "San Francisco",
accounts : [ {
account_number : 13,
branch_ID : 200,
account_type : "Checking"
},
{ account_number : 14,
branch_ID : 200,
account_type : "Savings"
} ]
}
Rich Queries
• Find all Mark’s accounts
• Find everybody who opened an account
last month
Geospatial
• Find all customers that live within 10
miles of NYC
Text Search
• Find all tweets that mention the bank
within the last 2 days
Aggregation
• What’s the average value of Mark’s
accounts
Map Reduce
• How many customers that have a
checking account also have an IRA
14. 14
MongoDB - Scalability
• High Availability
• Auto Sharding
• Enterprise Monitoring
• Grid file storage
15. 15
• About MongoDB
– The Company
– The Database (MongoDB)
• Challenges in Financial Services
• Case Study – Single View of Customer
Agenda
16. 16
FS/Banking Challenges
1. Changing Regulatory Requirements
2012 2013 2014 2015 2016 2017 2018 2019
ICB Ring-fencing
ICB Loss
Absorbency
Leverage
Ratio -
Basel III
NSFR –
Basel III
MiFID II
T2S
LCR –
Basel III
ICB /
Competition
Audit
Policy
Cross
Border Debt
Recovery
Financial
Transaction
Tax
Market
Abuse
Directive
(MAD II)
PRIP
Accounting
Directive
Review
AIFM
Directive
EU
Transparency
Directive
EU Reg on
Credit
Rating
Agencies
CRDV
Internal
Governance
GuidelinesFATCA
PD
EMIR
SWAPS Push
Out – Dodd
Frank
Securities
Law
Directive
(SLD)
Volker Rule –
Dodd Frank
Short
Selling
Close Out
Netting
Crisis
Management
Recovery &
Resolution
17. 17
Source LayerSource Layer BI Abstraction &
Reporting Layer
BI Abstraction &
Reporting Layer
Acquisition LayerAcquisition Layer
Extraction &
Staging
Cleansing
Atomic LayerAtomic Layer
MDM
Ad-hoc reports &
Analytics
Dashboards &
Web Reports
Web Services
Corporate Data WarehouseCorporate Data Warehouse
Data Lineage and Metadata
ETL
Transformation & Access
Layer
Transformation & Access
Layer
Transformation
& Calculation
Performance &
Access
Change Data
!
Reject Data
Normalisation
& Storage
FS/Banking Challenges
1. Changing Regulatory Requirements
19. 19
FS/Banking Challenges
2. Latency and Global synchronisation of information
Source LayerSource Layer BI Abstraction &
Reporting Layer
BI Abstraction &
Reporting Layer
Acquisition LayerAcquisition Layer
Extraction &
Staging
Cleansing
Atomic LayerAtomic Layer
Ad-hoc reports &
Analytics
Dashboards &
Web Reports
Web Services
Corporate Data WarehouseCorporate Data Warehouse
Data Lineage and Metadata
ETL
Transformation & Access
Layer
Transformation & Access
Layer
Transformation
& Calculation
Performance &
Access
Change Data
!
Reject Data
Normalisation
& Storage
HK
London
New York
4pm EST4pm EST
4pm GMT4pm GMT
4pm UTC4pm UTC
Actual Risk
24 hours late
Actual Risk
24 hours late
Wait &
sync
Wait &
Sync
Wait &
Sync
20. 20
Web
Call
Center
Customers
Impact
•Similar processes and
systems duplicated
•Changes done in
multiple places
•Siloed view of
customer
•Siloed experience by
customer
•Cross-channel/silo
data is previous day
Central
Functions
•Risk
•Compliance
•Legal
•…
Loans Cards
Deposit
Accounts
…
Mobile
Com
puter
Call
Center
Mobile
ATM
Branch
EO
D
EO
D
EO
D
EO
D
Branch
Com
puter
Call
Center
…
FS/Banking Challenges
3. Multi-channel and 360 View of Customer
21. 21
Source LayerSource Layer BI Abstraction &
Reporting Layer
BI Abstraction &
Reporting Layer
Acquisition LayerAcquisition Layer
Extraction &
Staging
Cleansing
Atomic LayerAtomic Layer
MDM
Ad-hoc reports &
Analytics
Dashboards &
Web Reports
Web Services
Corporate Data WarehouseCorporate Data Warehouse
Data Lineage and Metadata
ETL
Transformation & Access
Layer
Transformation & Access
Layer
Transformation
& Calculation
Performance &
Access
Change Data
!
Reject Data
Normalisation
& Storage
FS/Banking Challenges
3. Multi-channel and 360 View of Customer
LoansLoans
Credit CardCredit Card
PaymentsPayments
Loans meets Card
Card meets Payments
….
Loans meets Card
Card meets Payments
….
22. 22
Approaches tried in the past
Siloed Data Marts
Source
Layer
Source
Layer
BI Abstraction &
Reporting Layer
BI Abstraction &
Reporting Layer
Acquisition LayerAcquisition Layer
Extraction &
Staging
Cleansing
Atomic LayerAtomic Layer
Ad-hoc reports &
Analytics
Dashboards &
Web Reports
Web Services
Corporate Data WarehouseCorporate Data Warehouse
Data Lineage and Metadata
ETL
Transformation & Access
Layer
Transformation & Access
Layer
Transformation
& Calculation
Performance &
Access
Change Data
!
Reject Data
Normalisation
& Storage
23. 23
Polymorphic Operational Data Store
Source
Layer
Source
Layer
BI Abstraction &
Reporting Layer
BI Abstraction &
Reporting Layer
Acquisition LayerAcquisition Layer
Extraction &
Staging
Cleansing
Atomic LayerAtomic Layer
Ad-hoc reports &
Analytics
Dashboards &
Web Reports
Web Services
Corporate Data WarehouseCorporate Data Warehouse
Data Lineage and Metadata
ETL
Transformation & Access
Layer
Transformation & Access
Layer
Transformation
& Calculation
Performance &
Access
Change Data
!
Reject Data
Normalisation
& Storage
24. 24
Where MongoDB is being used
Business Domain Solution Areas to Consider
Customer Engagement Single View of a Customer
Customer Experience Management
Responsive Digital Banking
Gamification of Consumer Applications
Agile Next-generation Digital/Social/Mobile Platform
Marketing Multi-channel Customer Activity Capture
Real-time Cross-channel Next Best Offer
Location-based Offers
Risk Analysis & Reporting Firm-wide Liquidity Risk Analysis
Transaction Reporting and Analysis
Regulatory Compliance Flexible Cross-silo Reporting:
- Basel III, Dodd-Frank, etc.
Online Long-term Audit Trail
Aggregate Know Your Customer (KYC) Repository
Reference Data Management [Global] Reference Data Distribution Hub
Payments Corporate Transaction Reporting
Fraud Detection Anti-Money Laundering
25. 25
• About MongoDB
– The Company
– The Database (MongoDB)
• Challenges in Financial Services
• Case Study – Single View of Customer
Agenda
26. Retail Banking
How MongoDB and Infusion are helping Banks in the
Digital era
Andy Ross (Infusion) and Kunal Taneja (MongoDB)
5 August 2014
28. With over 600
employees worldwide
and 15 years of
success and growth,
Infusion
is focused on
innovation as the way
for business to flourish.
Infusion helps leading
companies navigate
the digital era.
A bit about us
29. How we help clients
Data &
Analytics
Mobilit
y
Digitalized
Customer
Experience
Web
Digital
Strateg
y
Innovation
Design Agency
Enterprise software development
Managed services
35. One day we got an email from our friend
Gary…
New MetLife CIO with a (30/60/90) plan
Get a slow moving company to move fast
Attract talented technologists
Solve long-standing and difficult business problems
Business context
36. One day we got an email from our friend
Gary…
Asked if we could build an application that
would produce a 360° view of his new customers
using innovative technology
and have a Facebook style interface?
Business challenge
70
different systems
140yrs
customer data
45million
policies
100million
transactions
37. Our approach: GO FAST!
9
0
days
2
weeks
Sold the idea
Delivered the application
41. Gone viral
Changing how they “do projects”
Is something the organization can, and is, rallying
around and aligning to
The Wall lives
Additional benefits
42. Why were we successful?
Strong champion
Modern
technology
Enterprise ready
Incubation
Behaved like a start-
up
43. You can do things differently!
You can
push harder
than you
think
You need a
strong
champion
Sell the idea
Lessons learned
MongoDB provides agility, scalability, and performance without sacrificing the functionality of relational databases, like full index support and rich queriesIndexes: secondary, compound, text search (with MongoDB 2.4), geospatial, and more
MongoDB provides agility, scalability, and performance without sacrificing the functionality of relational databases, like full index support and rich queriesIndexes: secondary, compound, text search (with MongoDB 2.4), geospatial, and more
MongoDB provides agility, scalability, and performance without sacrificing the functionality of relational databases, like full index support and rich queriesIndexes: secondary, compound, text search (with MongoDB 2.4), geospatial, and more
MongoDB provides agility, scalability, and performance without sacrificing the functionality of relational databases, like full index support and rich queriesIndexes: secondary, compound, text search (with MongoDB 2.4), geospatial, and more
MongoDB provides agility, scalability, and performance without sacrificing the functionality of relational databases, like full index support and rich queriesIndexes: secondary, compound, text search (with MongoDB 2.4), geospatial, and more
MongoDB provides agility, scalability, and performance without sacrificing the functionality of relational databases, like full index support and rich queriesIndexes: secondary, compound, text search (with MongoDB 2.4), geospatial, and more
Lots of new regulations coming in, and most of them deal with Data!. Some of them ask you to keep more data while others ask you to get a holistic view across your data.
Other than regulation, there is an increased focus on “Better Risk Management” How do you ensure that you have good risk practices and controls in place.
Each regulation requires at-least 5 changes in your architecture. Time to deliver this is 6 months!!
Start applying for credit card, call into call center, have to wait in the queue and then start all over with agent, they ask about a balance transfer (that have never used). It turns out I was walking by a branch and scanned a QR code for a mortgage offer last week, and that would be a relevant offer or question to ask
Browsing personal web site, treasurer for corporate account, cross-sell corporate services
Added an operational data layer
Akin to a glorified spreadsheet
Used technologies that are used by CDW and ended up with Data Marts