If you've ever developed code for processing data, you know what a mess it can be—especially on Hadoop. You lack debugging tools, instant feedback, automated tests, and a sane deploy. Mortar has developed a modern framework for data processing on Hadoop and Amazon Elastic MapReduce. It is a free, open framework providing instant, step-by-step execution visibility, automated testing, reusable components, and one-button deployment. See how Mortar demonstrates this framework on Amazon EMR on a sample data set to solve a big data problem.
A peek behind the cloud: Backblaze CEO discusses Cloud Storage at dotScaleBackblaze
Everyone uses cloud services, but how do you design, build, and operate the physical servers that power them? Gleb explains how Backblaze built their storage servers from scratch and open-sourced their work so we could do it too.
mabl's Machine Learning Implementation on Google Cloud PlatformJoseph Lust
mabl software engineer Joe Lust presents the mabl cloud architecture at the Cambridge Cloud Exchange: Machine Learning meetup at Google Cambridge. The talk takes an in-depth look at mabl’s machine learning and specifically how mabl uses numerous Google Cloud systems for its intelligent auto-healing tests and visual change detection.
Fireside Chats with Amazon CTO Werner Vogels – Start-up Founders (SPOT203) | ...Amazon Web Services
Amazon VP and CTO Werner Vogels hosts a fireside chat with three leaders in the start-up community. Werner will sit down with Eliot Horowitz, CTO of MongoDB, to discuss how MongoDB sees the cloud evolving and their role in the AWS ecosystem; Jeff Lawson, CEO of Twilio, to discuss how Twilio uses, manages, and measures APIs and how the cloud helps; and Valentino Volonghi, Chief Architect at Adroll, to discuss the role of DynamoDB in building an advertising business that bids more than 10 billion impressions per day.
A peek behind the cloud: Backblaze CEO discusses Cloud Storage at dotScaleBackblaze
Everyone uses cloud services, but how do you design, build, and operate the physical servers that power them? Gleb explains how Backblaze built their storage servers from scratch and open-sourced their work so we could do it too.
mabl's Machine Learning Implementation on Google Cloud PlatformJoseph Lust
mabl software engineer Joe Lust presents the mabl cloud architecture at the Cambridge Cloud Exchange: Machine Learning meetup at Google Cambridge. The talk takes an in-depth look at mabl’s machine learning and specifically how mabl uses numerous Google Cloud systems for its intelligent auto-healing tests and visual change detection.
Fireside Chats with Amazon CTO Werner Vogels – Start-up Founders (SPOT203) | ...Amazon Web Services
Amazon VP and CTO Werner Vogels hosts a fireside chat with three leaders in the start-up community. Werner will sit down with Eliot Horowitz, CTO of MongoDB, to discuss how MongoDB sees the cloud evolving and their role in the AWS ecosystem; Jeff Lawson, CEO of Twilio, to discuss how Twilio uses, manages, and measures APIs and how the cloud helps; and Valentino Volonghi, Chief Architect at Adroll, to discuss the role of DynamoDB in building an advertising business that bids more than 10 billion impressions per day.
2nd Annual Start-up Launches with Dr. Werner Vogels (SPOT101) | AWS re:Invent...Amazon Web Services
Attend this fun, fast-paced session and see five AWS-powered start-ups launch on-stage with Amazon.com CTO, Dr. Werner Vogels. You'll hear directly from these hand-selected companies and learn how they went from an idea to launch, using the AWS cloud. This exciting hour is your firsthand look at some of the hottest new start-ups, as well as a chance to get access to their new products and features. Whether you’re a booming enterprise or a blossoming start-up, this is a re:Invent activity that’s not to be missed.
How Trend Micro Build their Enterprise Security Offering on AWS (SEC307) | AW...Amazon Web Services
"In this session, learn how Trend Micro built Deep Security as a service on AWS. This service offers enterprise-grade security controls for AWS deployments in the form of intrusion detection and prevention, anti-malware, a firewall, web reputation, and integrity monitoring.
With over 400 internal requirements set by their in-house Information Security and IT Operations teams, the Service team was challenged with building the case to deploy Deep Security as a service on AWS instead of in-house. This session walks through the reasons why the team chose AWS, the design decisions they made, and how they were able to meet or exceed their in-house requirements while deploying on AWS."
Re:Inventing your Innovation Cycle by Scaling Out with Spot Instances (CPN207...Amazon Web Services
Hear VEVO, Optaros and Tapjoy detail how they architected large scale systems on AWS and accelerated their time to result while taking advantage of Spot Instance savings up to 90% off of On Demand prices. VEVO is a leading all-premium music video and entertainment platform with over 4 billion monthly views globally. VEVO uses Spot Instances to transcode its catalog of 75,000 HD music videos in a short period of time while saving on compute costs. Optaros is a global digital commerce service partner that has served clients like Wal-Mart, Macy’s, 20th Century Fox and PUMA. Optaros has reduced its EC2 spending by 50% while maintaining strict SLAs and performance metrics and improving the customer experience of its e-commerce sites. Tapjoy, a mobile performance-based advertising platform, reaches over 435MM users per month. By fully integrating Spot into their production, cloud development and continuous integration environments, Tapjoy expects to reduce its AWS costs by 20%. All three will share Spot tips, from bidding strategies to embarrassingly parallel and fault tolerant system design.
SmugMug's Zero-Downtime Migration to AWS (ARC312) | AWS re:Invent 2013Amazon Web Services
SmugMug spent six years split between its datacenters and AWS. Find out how and why SmugMug went 100% AWS, migrating 30 TB of databases, hundreds of frontends, load balancing, and caches, across the US in one night with zero downtime.We show you specific techniques and processes that made our large-scale migration a resounding success: moving massive MySQL databases, testing and sizing a new AWS infrastructure, automating AWS operations, managing the risks involved in wholesale infrastructure change, and architecting for reliability in multiple AWS Availability Zones. We talk about the performance, scalability, operational, and business benefits and challenges we've seen since moving 100% to AWS. Finally, we share secrets about our favorite AWS products.
Scaling a Mobile Web App to 100 Million Clients and Beyond (MBL302) | AWS re:...Amazon Web Services
Mobile apps have different service requirements from their desktop and web-based analogs. Bandwidth, client processing, and other considerations can impose significant extra demands on a scalable service. This session is a technical discussion of the challenges Flipboard met while scaling a data-intensive mobile app from 0 to 100 million clients and how they are working on scaling 10x using AWS. At each major step, Flipboard has encountered many challenges. Learn about how they handled those challenges and the evolution of their systems architecture, design choices, and software selection.
DevOps Nirvana: Seven Steps to a Peaceful Life on AWS (ARC210) | AWS re:Inven...Amazon Web Services
(Presented by Stackdriver) Key decisions related to architecture, tools, processes, and even team composition can have a dramatic effect on the human effort required to operate distributed applications on AWS. If you make the wrong decisions on in these areas, you spend your days, nights, weekends, and vacations dealing with issues and noise. If you make the right decisions, you and your team can focus on building customer value, and your time away from work is spent… not working.
Stackdriver and Smugmug describe the seven most important practices that world-class operations teams employ to minimize operational overhead, highlighting real-world examples to illustrate the importance of each.
The opportunities to enhance today's enterprise applications with graph database technologies are out there - and now there is a way to implement graph applications quickly with the xnlogic framework.
Graph Applications for the Enterprise, FAST - David Colebatch @ GraphConnect ...Neo4j
LightMesh quickly launched its next generation SaaS CMDB despite the challenge of a complex business domain by leveraging the xnlogic framework with Neo4j. In this talk, David will take you through some of the gotchas of enterprise application development with graphDB and how to solve them.
Running Lean and Mean: Designing Cost-efficient Architectures on AWS (ARC313)...Amazon Web Services
Whether you're a startup getting to profitability or an enterprise optimizing spend, it pays to run cost-efficient architectures on AWS. Dive deep into techniques used by successful customers to reduce waste and fine-tune their AWS spending, often with improved performance and a better end-customer experience. Some techniques covered in this session: Learn how to make the most of Auto Scaling, develop an effective Spot Instance strategy, and optimize for your daily traffic cycles. Learn techniques to tier storage, offload your static content to Amazon S3 and Amazon CloudFront, reduce your database loads with edge caching, spawn part-time databases, pool resources across accounts, and even teach your dev/test instances to sleep. Showcasing easily-applicable methods, this session could be your best invested hour all day.
Running Lean and Mean: Designing Cost-efficient Architectures on AWS (ARC313)...Amazon Web Services
Whether you're a startup getting to profitability or an enterprise optimizing spend, it pays to run cost-efficient architectures on AWS. Dive deep into techniques used by successful customers to reduce waste and fine-tune their AWS spending, often with improved performance and a better end-customer experience. Some techniques covered in this session: Learn how to make the most of Auto Scaling, develop an effective Spot Instance strategy, and optimize for your daily traffic cycles. Learn techniques to tier storage, offload your static content to Amazon S3 and Amazon CloudFront, reduce your database loads with edge caching, spawn part-time databases, pool resources across accounts, and even teach your dev/test instances to sleep. Showcasing easily-applicable methods, this session could be your best invested hour all day.
Big Data Integration & Analytics Data Flows with AWS Data Pipeline (BDT207) |...Amazon Web Services
AWS offers many data services, each optimized for a specific set of structure, size, latency, and concurrency requirements. Making the best use of all specialized services has historically required custom, error-prone data transformation and transport. Now, users can use the AWS Data Pipeline service to orchestrate data flows between Amazon S3, Amazon RDS, Amazon DynamoDB, Amazon Redshift, and on-premise data stores, seamlessly and efficiently applying EC2 instances and EMR clusters to process and transform data. In this session, we demonstrate how you can use AWS Data Pipeline to coordinate your Big Data workflows, applying the optimal data storage technology to each part of your data integration architecture. Swipely's Head of Engineering shows how Swipely uses AWS Data Pipeline to build batch analytics, backfilling all their data, while using resources efficiently. Consequently, Swipely launches novel product features with less development time and less operational complexity.
Diving Into the New AWS SDK for Ruby (TLS305) | AWS re:Invent 2013Amazon Web Services
Ruby developers: attend this session and learn about the next major version of the AWS SDK for Ruby, the aws-core gem. We dive deep into the SDK, covering topics such as waiters, request enumeration and pagination, resource modeling, version locking, and more. Learn how to take advantage of these features as we construct a sample Ruby application using the AWS SDK.
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
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Attend this fun, fast-paced session and see five AWS-powered start-ups launch on-stage with Amazon.com CTO, Dr. Werner Vogels. You'll hear directly from these hand-selected companies and learn how they went from an idea to launch, using the AWS cloud. This exciting hour is your firsthand look at some of the hottest new start-ups, as well as a chance to get access to their new products and features. Whether you’re a booming enterprise or a blossoming start-up, this is a re:Invent activity that’s not to be missed.
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Hear VEVO, Optaros and Tapjoy detail how they architected large scale systems on AWS and accelerated their time to result while taking advantage of Spot Instance savings up to 90% off of On Demand prices. VEVO is a leading all-premium music video and entertainment platform with over 4 billion monthly views globally. VEVO uses Spot Instances to transcode its catalog of 75,000 HD music videos in a short period of time while saving on compute costs. Optaros is a global digital commerce service partner that has served clients like Wal-Mart, Macy’s, 20th Century Fox and PUMA. Optaros has reduced its EC2 spending by 50% while maintaining strict SLAs and performance metrics and improving the customer experience of its e-commerce sites. Tapjoy, a mobile performance-based advertising platform, reaches over 435MM users per month. By fully integrating Spot into their production, cloud development and continuous integration environments, Tapjoy expects to reduce its AWS costs by 20%. All three will share Spot tips, from bidding strategies to embarrassingly parallel and fault tolerant system design.
SmugMug's Zero-Downtime Migration to AWS (ARC312) | AWS re:Invent 2013Amazon Web Services
SmugMug spent six years split between its datacenters and AWS. Find out how and why SmugMug went 100% AWS, migrating 30 TB of databases, hundreds of frontends, load balancing, and caches, across the US in one night with zero downtime.We show you specific techniques and processes that made our large-scale migration a resounding success: moving massive MySQL databases, testing and sizing a new AWS infrastructure, automating AWS operations, managing the risks involved in wholesale infrastructure change, and architecting for reliability in multiple AWS Availability Zones. We talk about the performance, scalability, operational, and business benefits and challenges we've seen since moving 100% to AWS. Finally, we share secrets about our favorite AWS products.
Scaling a Mobile Web App to 100 Million Clients and Beyond (MBL302) | AWS re:...Amazon Web Services
Mobile apps have different service requirements from their desktop and web-based analogs. Bandwidth, client processing, and other considerations can impose significant extra demands on a scalable service. This session is a technical discussion of the challenges Flipboard met while scaling a data-intensive mobile app from 0 to 100 million clients and how they are working on scaling 10x using AWS. At each major step, Flipboard has encountered many challenges. Learn about how they handled those challenges and the evolution of their systems architecture, design choices, and software selection.
DevOps Nirvana: Seven Steps to a Peaceful Life on AWS (ARC210) | AWS re:Inven...Amazon Web Services
(Presented by Stackdriver) Key decisions related to architecture, tools, processes, and even team composition can have a dramatic effect on the human effort required to operate distributed applications on AWS. If you make the wrong decisions on in these areas, you spend your days, nights, weekends, and vacations dealing with issues and noise. If you make the right decisions, you and your team can focus on building customer value, and your time away from work is spent… not working.
Stackdriver and Smugmug describe the seven most important practices that world-class operations teams employ to minimize operational overhead, highlighting real-world examples to illustrate the importance of each.
The opportunities to enhance today's enterprise applications with graph database technologies are out there - and now there is a way to implement graph applications quickly with the xnlogic framework.
Graph Applications for the Enterprise, FAST - David Colebatch @ GraphConnect ...Neo4j
LightMesh quickly launched its next generation SaaS CMDB despite the challenge of a complex business domain by leveraging the xnlogic framework with Neo4j. In this talk, David will take you through some of the gotchas of enterprise application development with graphDB and how to solve them.
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Whether you're a startup getting to profitability or an enterprise optimizing spend, it pays to run cost-efficient architectures on AWS. Dive deep into techniques used by successful customers to reduce waste and fine-tune their AWS spending, often with improved performance and a better end-customer experience. Some techniques covered in this session: Learn how to make the most of Auto Scaling, develop an effective Spot Instance strategy, and optimize for your daily traffic cycles. Learn techniques to tier storage, offload your static content to Amazon S3 and Amazon CloudFront, reduce your database loads with edge caching, spawn part-time databases, pool resources across accounts, and even teach your dev/test instances to sleep. Showcasing easily-applicable methods, this session could be your best invested hour all day.
Running Lean and Mean: Designing Cost-efficient Architectures on AWS (ARC313)...Amazon Web Services
Whether you're a startup getting to profitability or an enterprise optimizing spend, it pays to run cost-efficient architectures on AWS. Dive deep into techniques used by successful customers to reduce waste and fine-tune their AWS spending, often with improved performance and a better end-customer experience. Some techniques covered in this session: Learn how to make the most of Auto Scaling, develop an effective Spot Instance strategy, and optimize for your daily traffic cycles. Learn techniques to tier storage, offload your static content to Amazon S3 and Amazon CloudFront, reduce your database loads with edge caching, spawn part-time databases, pool resources across accounts, and even teach your dev/test instances to sleep. Showcasing easily-applicable methods, this session could be your best invested hour all day.
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AWS offers many data services, each optimized for a specific set of structure, size, latency, and concurrency requirements. Making the best use of all specialized services has historically required custom, error-prone data transformation and transport. Now, users can use the AWS Data Pipeline service to orchestrate data flows between Amazon S3, Amazon RDS, Amazon DynamoDB, Amazon Redshift, and on-premise data stores, seamlessly and efficiently applying EC2 instances and EMR clusters to process and transform data. In this session, we demonstrate how you can use AWS Data Pipeline to coordinate your Big Data workflows, applying the optimal data storage technology to each part of your data integration architecture. Swipely's Head of Engineering shows how Swipely uses AWS Data Pipeline to build batch analytics, backfilling all their data, while using resources efficiently. Consequently, Swipely launches novel product features with less development time and less operational complexity.
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Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
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Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
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Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
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Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
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AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
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In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
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In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
15. Goal: Miscellaneous goals
• Easy scheduling
• Easily use other technologies: Python, Amazon
DynamoDB, MongoDB
• Results easy to locate
• Managed cluster lifetime
• More granular API
Friday, November 15, 13
16. A Modern Framework for Amazon EMR
What you saw
• Collaboration
• Efficient, Free Development
• Testing / Debug
• Reproducibility
• And More...
Friday, November 15, 13
18. Please give us your feedback on this
presentation
BDT309
As a thank you, we will select prize
winners daily for completed surveys!
Friday, November 15, 13
Thank You