Latest Watch Andy Jassy's 2020 keynote Andy Jassy's 2020 keynote is now available to watch on demand—log in today and catch up with all the latest news about AWS customers, products, and services. 绿盟科技网络安全威胁周报2017.36 Struts2远程代码执行漏洞（S2-052）CVE-2017-9805 晚来风急 2017-09-01 09:48:00 浏览1835 Netflix云安全团队的开源项目简介 Hi Everyone its the week after the event… It’s official AWS Reinvent 2017 is over. Attendance for re:Invent 2017 was around 43,000 people, and I believe conference organizers were originally anticipating significantly fewer … Want to be a AWS Pro before you get to re:Invent? How are booking and revenue trending? AWS offers a collection of database and other data services—including Amazon Aurora, Amazon DynamoDB, Amazon RDS, Amazon Redshift, Amazon ElastiCache, Amazon Kinesis, and Amazon EMR—to process, store, manage, and analyze data. Citrix is using Matillion ETL for Amazon Redshift for analytic purposes. In this session, we demonstrate how you can use Amazon Pinpoint to capture user data in a structured yet flexible manner. Cognizant’s Architecture team partnered with Ally Bank’s Enterprise Architecture group and identified the right product for oAuth integration with Amazon Alexa and third-party technologies. You also hear from 21st Century Fox, who presents a case study of their fast migration from an on-premises data warehouse to Amazon Redshift. ABD319 – Tooling Up for Efficiency: DIY Solutions @ Netflix At Netflix, we have traditionally approached cloud efficiency from a human standpoint, whether it be in-person meetings with the largest service teams or manually flipping reservations. In this session, we take a deep dive into how this solution is architected for secure, scalable, and highly performant data collection from athletes, coaches, and fans. One-off, static reports work when you’re a small startup, but how do you support a growth stage company to a successful IPO and beyond? Skip to content. Ritesh will highlight the technical challenges they faced and overcame along the way, as well as share common recommendations and tuning tips to accelerate the time to production. MCL317 – Orchestrating Machine Learning Training for Netflix Recommendations At Netflix, we use machine learning (ML) algorithms extensively to recommend relevant titles to our 100+ million members based on their tastes. Lastly, we demonstrate how this solution can be easily adapted for other industries and applications. ABD401 – How Netflix Monitors Applications in Near Real-Time with Amazon Kinesis Thousands of services work in concert to deliver millions of hours of video streams to Netflix customers every day. Next, we look at a few customer examples and their real-time streaming applications. Learn best practices to extend your architecture from data warehouses and databases to real-time solutions. We walk through example data based on real world scenarios, to illustrate how Amazon Pinpoint lets you easily organize millions of events, record them in real-time, and store them for further analysis. ABD222 – How to Confidently Unleash Data to Meet the Needs of Your Entire Organization Where are you on the spectrum of IT leaders? ABD208 – Cox Automotive Empowered to Scale with Splunk Cloud & AWS and Explores New Innovation with Amazon Kinesis Firehose In this session, learn how Cox Automotive is using Splunk Cloud for real time visibility into its AWS and hybrid environments to achieve near instantaneous MTTI, reduce auction incidents by 90%, and proactively predict outages. Learn More. This included six sessions from the AWS User Group community who shared technical insight and best practices from their first-hand experiences building community in the world of AWS. The session will feature Mohit Rao, Architect and Integration lead at Atlassian, the maker of products such as JIRA, Confluence, and Stride. ABD303 – Developing an Insights Platform – Sysco’s Journey from Disparate Systems to Data Lake and Beyond Sysco has nearly 200 operating companies across its multiple lines of business throughout the United States, Canada, Central/South America, and Europe. Watch Now. Using IoTA, AGT brought a tailored solution to EuroLeague Basketball for real-time content production and fan engagement during the 2017-18 season. AWS re:Invent 2017 Video – JAM Sessions & Lounge. What to do with a Late Arriving Dimension or Early Arriving Facts. Lastly, we hear from a customer who has reduced costs and improved time to market by deploying Athena across their organization. We also cover how to control access to your datasets, implement row-level security, create scheduled email reports, and audit access to your data. Full details about each session are on the AWS Event Catalogue, which we encourage you check as event details might change and new session are being added. The collective intelligence also allows greater enforcement of Anti-Money Laundering (AML) regulations by helping members detect internal risks—and identify the challenges to detecting these risks in the first place. Hear from cloud leaders and be the first to learn what’s new. The post 4 Data Paradigms...   Data is behind every decision we make. It’s been great to get your feedback and evolve the...     Machine learning continues to be a hot topic in modern enterprises. I look forward to re:Invent every year like my kids look forward to Christmas. However, organizations are also often limited by legacy data warehouses and ETL processes that were designed for transactional data. AWS provides a stack of scalable, fully-managed services that eliminates these operational complexities. In this session, learn how Nextdoor replaced their home-grown data pipeline based on a topology of Flume nodes with a completely serverless architecture based on Kinesis and Lambda. However, with the right tools, you can extend your analytics to query data in your data lake—with no loading required. In this session, the Expedia team reviews how they use Amazon ES and Kibana to analyze and visualize Docker startup logs, AWS CloudTrail data, and application metrics. We talk about lowering cost with Auto Scaling and Spot Instances, and security best practices for encryption and fine-grained access control. Book Your AWS Re:Invent Schedule with These Sessions Before … Since its launch at re:invent 2016, several organizations have adopted Athena as the central tool to process all their data. Serverless technologies let you build and scale applications and services rapidly without the need to provision or manage servers. The Amazon Flex team describes how they used streaming analytics in their Amazon Flex mobile app, used by Amazon delivery drivers to deliver millions of packages each month on time. Enjoy unlimited access to hundreds of sessions led by AWS experts. In this session, we discuss how building products with conversational AI helps Ally Bank offer an innovative customer experience; increase retention through improved data-driven personalization; increase the efficiency and convenience of customer service; and gain deep insights into customer needs through data analysis and predictive analytics to offer new products and services. As in previous years, you can find these sessions in various tracks, including Analytics & Big Data, Deep Learning Summit, Artificial Intelligence & Machine Learning, Architecture, and Databases. How do you debug a distributed application in production? Using the AWS Cloud, the MBCA developed a shared data analytics utility that processes terabytes of non-competitive customer account, transaction, and government risk data. These models are trained using Meson, our workflow orchestration system. 11월 27일 부터 미국 라스베가스에서 열리는 본 행사에 참여하시는 분들이 최대한 시간을 지혜롭게 활용할 수있는 몇 가지 팁을 알려드리고자 합니다. In addition, all slide decks from the sessions will be available on SlideShare.net after the conference. Click here to return to Amazon Web Services homepage. Enterprises found themselves with 100... Say hello to the very latest and greatest release of Matillion ETL yet, Version 1.51!  Every new update of Matillion ETL improves upon the last, and in this blog you can find out more about November 22, 2017. ABD213 – How to Build a Data Lake with AWS Glue Data Catalog As data volumes grow and customers store more data on AWS, they often have valuable data that is not easily discoverable and available for analytics. This session will focus on identifying the components and workflows in your current environment; and providing the best practices to migrate these workloads to the right AWS data analytics product. It’s your key to unlock insights about your customers and your business. In the technology sector, crowdsourcing is instrumental for verifying machine learning algorithms, which, in turn, improves the user’s experience. A key aspect of our ability to gain insights from our data is to look for patterns, and these patterns are often not evident when we simply look at data in tables. If you’re interested in Machine Learning sessions, don’t forget to check out our Guide to Machine Learning at re:Invent 2017. Links to YouTube recordings of AWS re:Invent 2017 sessions - reinvent-2017-youtube.md. Further, we demonstrate how this data can be set up for instant consumption using services like Amazon Kinesis Firehose and Amazon Redshift. re:Invent already has over 1,000 sessions (with more being added as we get closer to the event), over 5 days. These applications vary in size, function, and technology, but they all make use of the Netflix network to communicate. General re:Invent protips. NGINX is used in more than half of the web apps built in AWS (download PDF here), including many of the biggest.This, by itself, is a huge vote of confidence in NGINX. Each of these user groups employs different tools, have different data needs and access data in different ways. December 5, 2017. Massive Turnout. We also review a number of different image formats, including GeoTIFF (used for the Public Datasets on AWS program, Landsat on AWS), cloud optimized GeoTIFF, MRF, and CRF as well as different compression approaches to show the effect on processing performance. High points for me this year: saw Jeff Barr roaming the halls with his hair dyed purple, and got to hang out with Austen Collins, founder of the Serverless project, which we use extensively on enterprise … Sunil Dhaliwal Amplify View Sessions. We can’t believe that there are just few days left before re:Invent 2017. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. To meet data security standards, we use end-to-end data encryption and different AWS services such as Amazon Redshift, Amazon RDS, Amazon S3, Amazon EMR with Apache Spark and Auto Scaling. We will cover best practices on how to design optimal schemas, load data efficiently, and optimize your queries to deliver high throughput and performance. ABD335 – Real-Time Anomaly Detection Using Amazon Kinesis Amazon Kinesis Analytics offers a built-in machine learning algorithm that you can use to easily detect anomalies in your VPC network traffic and improve security monitoring. Where We'll Be Next. ABD207 – Leveraging AWS to Fight Financial Crime and Protect National Security Banks aren’t known to share data and collaborate with one another. ABD223 – IT Innovators: New Technology for Leveraging Data to Enable Agility, Innovation, and Business Optimization Companies of all sizes are looking for technology to efficiently leverage data and their existing IT investments to stay competitive and understand where to find new growth. Come join us for a discussion on how to implement Lambda architecture (batch, speed, and serving layers) and best practices for data processing, loading, and performance tuning. But data can be so much more valuable when we We review in detail how to write SQL queries using streaming data and discuss best practices to optimize and monitor your Kinesis Analytics applications. If you’re starting...   One of our highlights of AWS re:Invent 2020 was Dave Langton’s presentation, “Improving Analytics Productivity for Overwhelmed Data Teams.” Today’s data teams struggle with what we call the the...   For most businesses, 2020 brought a lot of changes, but one thing hasn’t changed: Data volumes are still growing like crazy. This session outlines the process from inception to implementation across the state of Indiana and highlights how Ivy Tech’s model can be applied to your own complex business problems. Learn how crawlers can automatically discover your data, extract relevant metadata, and add it as table definitions to the AWS Glue Data Catalog. Raju Gulabani, VP, Database, Analytics and AI at AWS will discuss the evolution of database and analytics services in AWS, the new database and analytics services and features we launched this year, and our vision for continued innovation in this space. ABD318 – Architecting a data lake with Amazon S3, Amazon Kinesis, and Amazon Athena Learn how to architect a data lake where different teams within your organization can publish and consume data in a self-service manner. This blog article describes a commonly-encountered practical problem when you are creating a dimensional model. ABD302 – Real-Time Data Exploration and Analytics with Amazon Elasticsearch Service and Kibana In this session, we use Apache web logs as example and show you how to build an end-to-end analytics solution. Large-scale BI implementations with the right governance structure can take months to design and deploy. Learn Interactive ways to learn Tracks With over 50 content tracks and multiple language options, this year’s re:Invent offers more possibilities than ever. We review the best practices for creating tables and partitions and performance optimizations. This architecture helps them tie together siloed business units and get actionable 360-degree insights across their consumer base. What to expect and which sessions to sign up for. Here’s a recap of announcements you missed. If you are attending this year, you’ll want to check out our Big Data sessions! Security is still one of the first questions companies have when it comes to the cloud. We talk about how we migrated from Cassandra to Amazon RDS backed by Amazon Aurora. stevenringo / reinvent-2017-youtube.md. ABD205 – Taking a Page Out of Ivy Tech’s Book: Using Data for Student Success Data speaks. In this session, we provide an overview of AWS database and analytics services and discuss how customers are using these services today. Matillion uses the Extract-Load-Transform (ELT) approach to delivering quick results for a wide range of data processing purposes: everything from customer behaviour analytics, financial analysis,...   Our partners and their customers are doing great things with Matillion to help integrate their data and make it more useful for analytics. Check out our Optimizing Amazon Redshift e-book or our webinar series on Amazon Redshift Spectrum. Hear from cloud leaders and be the first to learn what’s new. Amazon Web Services 0. prev next . In this session, we focus on how Meson trains recommendation ML models in production, and how we have re-architected it to scale up for a growing need of broad ETL applications within Netflix. However, this is not the way Citrix has always worked. They want to use it to optimize business outcomes without having to rely on complex software tools or human gatekeepers to relevant information. As the global leader in food services, Sysco identified the need to streamline the collection, transformation, and presentation of data produced by the distributed units and systems, into a central data ecosystem. Tools discussed include Picsou, the successor to our AWS billing file cost analyzer; Libra, an easy-to-use reservation conversion application; and cost and efficiency dashboards that relay useful financial context to 50+ engineering teams and managers. This is a great session for AWS newbies or those interested in using the AWS cloud. This year’s session catalog contains the following breakout sessions. Meson can schedule Spark jobs, Docker containers, bash scripts, gists of Scala code, and more. All stakeholders inside and outside the organization want information on-demand or in “real time”, available anywhere on any device.
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