The document discusses data modeling techniques for building applications on Amazon DynamoDB. It begins with an overview of DynamoDB and its features like fully managed NoSQL database, predictable performance, scalability and rapid deployment. It then covers modeling primitives in DynamoDB including tables, items, attributes, primary keys and different data types. Different access patterns like queries, scans, reads and writes are also explained. The document further discusses modeling examples to represent 1:1, 1:N and N:M relationships between entities. It also provides a detailed example of modeling file storage and sharing application to represent different access patterns like searching by file name, type or date range. Local secondary indexes are demonstrated to efficiently query data based on
by Darin Briskman, Technical Evangelist, AWS
Elasticsearch is the most popular open-source search and analytics engine - it's easy to use, but not always easy to configure an manage. Learn about Amazon's fully managed service that provides easier deployment, operation, and scale for Elasticsearch. Level: 200
Deep Dive on Amazon Aurora with PostgreSQL Compatibility (DAT305-R1) - AWS re...Amazon Web Services
This document provides a summary of Amazon Aurora and how it compares to PostgreSQL. It discusses how Aurora provides high availability, durability and automatic scaling without the need for redo logs. It also summarizes how Aurora delivers better performance than PostgreSQL for write-heavy workloads through its ability to write less data and handle concurrency differently. The document concludes with a discussion of Amazon Aurora Serverless which automatically scales databases on demand.
Serverless Analytics with Amazon Redshift Spectrum, AWS Glue, and Amazon Quic...Amazon Web Services
Learning Objectives:
- Understand how to build a serverless big data solution quickly and easily
- Learn how to discover and prepare all your data for analytics
- Learn how to query and visualize analytics on all your data to create actionable insights
This document discusses Amazon Athena and AWS Glue. It provides an overview of Athena and how it uses Presto to query data in S3. It then discusses common issues with Athena like 503 slow down errors and only supporting single line JSON. It also discusses AWS Glue and common issues with crawlers, ETL jobs being slow or failing. It provides recommendations like using partitions, enabling job metrics, and contacting support with specific logs and information.
Incredible ODI tips to work with Hyperion tools that you ever wanted to knowRodrigo Radtke de Souza
ODI is an incredible and flexible development tool that goes beyond simple data integration. But most of its development power comes from outside-the-box ideas.
* Did you ever want to dynamically run any number of “OS” commands using a single ODI component?
* Did you ever want to have only one data store and loop different sources without the need of different ODI contexts?
* Did you ever want to have only one interface and loop any number of ODI objects with a lot of control?
* Did you ever need to have a “third command tab” in your procedures or KMs to improve ODI powers?
* Do you still use an old version of ODI and miss a way to know the values of the variables in a scenario execution?
* Did you know ODI has four “substitution tags”? And do you know how useful they are?
* Do you use “dynamic variables” and know how powerful they can be?
* Do you know how to have control over you ODI priority jobs automatically (stop, start, and restart scenarios)?
Building a Modern Data Warehouse: Deep Dive on Amazon Redshift - SRV337 - Chi...Amazon Web Services
In this chalk talk, we take a deep dive on Amazon Redshift architecture and the latest performance enhancements that give you faster insights into your data. We also cover Amazon Redshift Spectrum, a feature of Amazon Redshift that enables you to analyze data across Amazon Redshift and your Amazon S3 data lake to deliver unique insights not possible by analyzing independent data silos.
Best Practices for Migrating your Data Warehouse to Amazon RedshiftAmazon Web Services
You can gain substantially more business insights and save costs by migrating your existing data warehouse to Amazon Redshift. This session will cover the key benefits of migrating to Amazon Redshift, migration strategies, and tools and resources that can help you in the process.
This document provides an overview of optimizing performance in Amazon Redshift. It discusses the architecture of Redshift including columnar storage and compression. It also covers best practices for schema design such as choosing distribution styles, sort keys and column widths. Additional topics include ingestion strategies, regular maintenance of statistics and vacuuming, and workload management using queues.
by Darin Briskman, Technical Evangelist, AWS
Elasticsearch is the most popular open-source search and analytics engine - it's easy to use, but not always easy to configure an manage. Learn about Amazon's fully managed service that provides easier deployment, operation, and scale for Elasticsearch. Level: 200
Deep Dive on Amazon Aurora with PostgreSQL Compatibility (DAT305-R1) - AWS re...Amazon Web Services
This document provides a summary of Amazon Aurora and how it compares to PostgreSQL. It discusses how Aurora provides high availability, durability and automatic scaling without the need for redo logs. It also summarizes how Aurora delivers better performance than PostgreSQL for write-heavy workloads through its ability to write less data and handle concurrency differently. The document concludes with a discussion of Amazon Aurora Serverless which automatically scales databases on demand.
Serverless Analytics with Amazon Redshift Spectrum, AWS Glue, and Amazon Quic...Amazon Web Services
Learning Objectives:
- Understand how to build a serverless big data solution quickly and easily
- Learn how to discover and prepare all your data for analytics
- Learn how to query and visualize analytics on all your data to create actionable insights
This document discusses Amazon Athena and AWS Glue. It provides an overview of Athena and how it uses Presto to query data in S3. It then discusses common issues with Athena like 503 slow down errors and only supporting single line JSON. It also discusses AWS Glue and common issues with crawlers, ETL jobs being slow or failing. It provides recommendations like using partitions, enabling job metrics, and contacting support with specific logs and information.
Incredible ODI tips to work with Hyperion tools that you ever wanted to knowRodrigo Radtke de Souza
ODI is an incredible and flexible development tool that goes beyond simple data integration. But most of its development power comes from outside-the-box ideas.
* Did you ever want to dynamically run any number of “OS” commands using a single ODI component?
* Did you ever want to have only one data store and loop different sources without the need of different ODI contexts?
* Did you ever want to have only one interface and loop any number of ODI objects with a lot of control?
* Did you ever need to have a “third command tab” in your procedures or KMs to improve ODI powers?
* Do you still use an old version of ODI and miss a way to know the values of the variables in a scenario execution?
* Did you know ODI has four “substitution tags”? And do you know how useful they are?
* Do you use “dynamic variables” and know how powerful they can be?
* Do you know how to have control over you ODI priority jobs automatically (stop, start, and restart scenarios)?
Building a Modern Data Warehouse: Deep Dive on Amazon Redshift - SRV337 - Chi...Amazon Web Services
In this chalk talk, we take a deep dive on Amazon Redshift architecture and the latest performance enhancements that give you faster insights into your data. We also cover Amazon Redshift Spectrum, a feature of Amazon Redshift that enables you to analyze data across Amazon Redshift and your Amazon S3 data lake to deliver unique insights not possible by analyzing independent data silos.
Best Practices for Migrating your Data Warehouse to Amazon RedshiftAmazon Web Services
You can gain substantially more business insights and save costs by migrating your existing data warehouse to Amazon Redshift. This session will cover the key benefits of migrating to Amazon Redshift, migration strategies, and tools and resources that can help you in the process.
This document provides an overview of optimizing performance in Amazon Redshift. It discusses the architecture of Redshift including columnar storage and compression. It also covers best practices for schema design such as choosing distribution styles, sort keys and column widths. Additional topics include ingestion strategies, regular maintenance of statistics and vacuuming, and workload management using queues.
This document provides an overview and agenda for a presentation on Amazon DynamoDB. It discusses key concepts like tables, data types, partitioning, indexing and scaling in DynamoDB. It also provides best practices and examples for modeling different data scenarios like event logging, product catalogs, messaging apps and multiplayer games.
Intro to Amazon Redshift Spectrum: Quickly Query Exabytes of Data in S3 - Jun...Amazon Web Services
Learning Objectives:
- Learn about Redshift Spectrum, a new feature that allows you to run Redshift queries directly against your data in Amazon S3 - Understand common use cases for Redshift Spectrum
- Identify strategies for improving performance and saving costs when querying your data in Amazon S3
Amazon Redshift Spectrum is a new feature that extends Amazon Redshift’s analytics capabilities beyond the data stored in your data warehouse to also query your data in Amazon S3. You can use Amazon Redshift and your existing business intelligence tools to run SQL queries against exabytes of data.
In this session, we will show you how you can easily start querying your data stored in Amazon S3 with Redshift Spectrum. You can run Amazon Redshift queries on Amazon S3 data on its own, or you can run queries that join together data in S3 with data already in your Redshift data warehouse. We will highlight technical details of query execution and implementation of Redshift Spectrum. We will talk about supported queries, data formats, and strategies to save cost by compressing or transforming your data into a columnar format.
(DAT308) Yahoo! Analyzes Billions of Events a Day on Amazon RedshiftAmazon Web Services
Amazon Redshift is a fast, fully managed petabyte-scale data warehouse service that costs less than $1,000 a TB a year, under a tenth the price of most traditional data warehousing solutions. Learn how Yahoo! uses both to build a billion event a day infrastructure that is fast, easy, and cost-effective. Dive into how Yahoo performs advanced user retention and cohort analysis to make near–real time product and marketing decisions.
NEW LAUNCH! Intro to Amazon Athena. Analyze data in S3, using SQLAmazon Web Services
This document provides an overview of Amazon Athena, an interactive query service that makes it easy to analyze data stored in Amazon S3 using standard SQL. Key points include:
- Athena allows users to analyze large datasets in S3 without having to load the data into a separate data warehouse or Hadoop cluster. It is serverless, requiring no infrastructure to manage.
- Users can write SQL queries against data stored in S3 in a variety of formats like CSV, JSON, and columnar formats like Parquet. Athena supports complex queries, joins, and functions.
- Athena is cost effective, with customers paying only for the amount of data scanned during queries. Using compression and columnar formats
This session will begin with an introduction to non-relational (NoSQL) databases and compare them with relational (SQL) databases. Learn the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service, and see the DynamoDB console first-hand. See a walk-through demo of building a serverless web application using this high-performance key-value and JSON document store.
This document discusses new features and enhancements for Amazon Web Services databases and analytics services announced at re:Invent 2019. It provides information on Amazon Redshift RA3 instances that deliver 3x the performance of existing cloud data warehouses at lower cost by paying for compute and storage separately. It also covers new capabilities for Amazon Athena, Amazon EMR, Amazon Redshift, Amazon QuickSight, and other services that help customers analyze more data from more sources and build more powerful analytics applications.
Migration from Oracle to PostgreSQL: NEED vs REALITYAshnikbiz
Some of the largest organization in the world today are going cost-efficient by innovating their database layer. Migrating workloads from legacy systems to an enterprise open source database technology like Postgres is a preferred choice for many.
The document discusses serverless architectures on AWS. It begins with an introduction to why serverless is useful, specifically that it allows developers to focus on code without worrying about provisioning or managing infrastructure. Next, it provides guidance on migrating applications to a serverless model using AWS services like Lambda, API Gateway, and others. It then covers the AWS Serverless Application Model (SAM) for defining serverless applications through CloudFormation templates. Finally, it discusses infrastructure as code (IaC) and how tools like CloudFormation can be used to manage resources on AWS.
by Rajeev Srinivasan, Sr. Solutions Architect, AWS
Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value store models. Its flexible data model, reliable performance, and automatic scaling of throughput capacity, makes it a great fit for mobile, web, gaming, ad tech, IoT, and many other applications. We’ll take a look at how DynamoDB works and how it can be accelerated by DAX, the DynamoDB Accelerator.
Introduction to Apache Calcite. An overview of the core features that Apache Calcite provides to help build a database. The talk covers Calcite's SQL parser, cost-based optimizer, pluggable data sources, and JDBC-HTTP server "Avatica".
(BDT314) A Big Data & Analytics App on Amazon EMR & Amazon RedshiftAmazon Web Services
Nasdaq has extended its use of Amazon Redshift to include Amazon EMR and Amazon S3 in order to better manage storage and compute resources separately. Data is ingested into Redshift and then transformed and unloaded to S3. EMR is then used to convert the data to Parquet format and write it to S3 partitioned by date. The data in S3 is accessed using Presto with encryption at rest. Hive is used to manage schemas and partitions across data sources. Tools were developed to help with encryption, schema management, and data migrations between systems while maintaining security and performance.
Deep Dive on Amazon Aurora MySQL Performance Tuning (DAT429-R1) - AWS re:Inve...Amazon Web Services
Amazon Aurora offers several options for monitoring and optimizing MySQL database performance. These include Enhanced Monitoring and Performance Insights, an easy-to-use tool for assessing the load on your database and identifying slow-performing queries. In this session, learn how to tune the performance of your Aurora database with MySQL compatibility, whether your application is in development or in production.
DynamoDB is a NoSQL database service built for fast, scalable, consistent performance. This presentation introduces DynamoDB and discusses how to get started, provision throughput, design for the DynamoDB data model, query and scan tables and scale reads and writes without downtime.
The document provides information about querying and analyzing data in Amazon S3 using various AWS services. It discusses:
1. Using Amazon EMR to process raw web logs delivered to S3 by Kinesis Firehose using Apache Spark.
2. Loading the processed data into Amazon Redshift for interactive querying using SQL.
3. Performing ad-hoc analysis on the data in S3 using serverless Athena without having to set up any infrastructure.
Cost-based query optimization in Apache Hive 0.14Julian Hyde
Tez is making Hive faster, and now cost-based optimization (CBO) is making it smarter. A new initiative in Hive introduces cost-based optimization for the first time, based on the Optiq framework. Optiq's lead developer Julian Hyde shows the improvements that CBO is bringing in Apache Hive 0.14.
For those interested in Hive internals, he gives an overview of the Optiq framework and shows some of the improvements that are coming to future versions of Hive with the Stinger.next initiative.
(AWS Certification Training: https://www.edureka.co/cloudcomputing)
This “Amazon Redshift" tutorial by Edureka will help you understand what Amazon Redshift is & how to set up a data warehouse on cloud using Amazon Redshift. Below are the topics covered in the ppt:
1. Traditional Data Warehouse
2. Amazon Redshift – A to Z
3. Demo on Amazon Redshift
Check out our complete AWS Playlist here: https://goo.gl/8qrfKU
The document discusses Amazon Aurora, a database service from AWS that is compatible with PostgreSQL and MySQL. It provides summaries of Aurora's architecture, performance advantages, and customer benefits compared to traditional databases. Specifically, the document notes that Aurora achieves higher performance and availability than PostgreSQL by using a distributed, scalable storage system and replicating data across Availability Zones. It shares performance test results showing that Aurora can be up to 3x faster than PostgreSQL for various workloads. Customers have also cited lower costs and easier management with Aurora compared to commercial databases.
AWS Glue is a fully managed, serverless extract, transform, and load (ETL) service that makes it easy to move data between data stores. AWS Glue simplifies and automates the difficult and time consuming tasks of data discovery, conversion mapping, and job scheduling so you can focus more of your time querying and analyzing your data using Amazon Redshift Spectrum and Amazon Athena. In this session, we introduce AWS Glue, provide an overview of its components, and share how you can use AWS Glue to automate discovering your data, cataloging it, and preparing it for analysis.
(SDD407) Amazon DynamoDB: Data Modeling and Scaling Best Practices | AWS re:I...Amazon Web Services
Amazon DynamoDB is a fully managed, highly scalable distributed database service. In this technical talk, we show you how to use DynamoDB to build high-scale applications like social gaming, chat, and voting. We show you how to use building blocks such as secondary indexes, conditional writes, consistent reads, and batch operations to build the higher-level functionality such as multi-item atomic writes and join queries. We also discuss best practices such as index projections, item sharding, and parallel scan for maximum scalability.
Amazon DynamoDB Design Patterns for Ultra-High Performance Apps (DAT304) | AW...Amazon Web Services
The document summarizes a presentation on advanced design patterns for building ultra-high performance apps using Amazon DynamoDB. The presentation covers using hash and range schemas to model social networks, secondary indexes for flexible querying of image data, conditional writes for synchronizing game state, and fine-grained access control for user data. Examples are provided for each pattern discussed.
This document provides an overview and agenda for a presentation on Amazon DynamoDB. It discusses key concepts like tables, data types, partitioning, indexing and scaling in DynamoDB. It also provides best practices and examples for modeling different data scenarios like event logging, product catalogs, messaging apps and multiplayer games.
Intro to Amazon Redshift Spectrum: Quickly Query Exabytes of Data in S3 - Jun...Amazon Web Services
Learning Objectives:
- Learn about Redshift Spectrum, a new feature that allows you to run Redshift queries directly against your data in Amazon S3 - Understand common use cases for Redshift Spectrum
- Identify strategies for improving performance and saving costs when querying your data in Amazon S3
Amazon Redshift Spectrum is a new feature that extends Amazon Redshift’s analytics capabilities beyond the data stored in your data warehouse to also query your data in Amazon S3. You can use Amazon Redshift and your existing business intelligence tools to run SQL queries against exabytes of data.
In this session, we will show you how you can easily start querying your data stored in Amazon S3 with Redshift Spectrum. You can run Amazon Redshift queries on Amazon S3 data on its own, or you can run queries that join together data in S3 with data already in your Redshift data warehouse. We will highlight technical details of query execution and implementation of Redshift Spectrum. We will talk about supported queries, data formats, and strategies to save cost by compressing or transforming your data into a columnar format.
(DAT308) Yahoo! Analyzes Billions of Events a Day on Amazon RedshiftAmazon Web Services
Amazon Redshift is a fast, fully managed petabyte-scale data warehouse service that costs less than $1,000 a TB a year, under a tenth the price of most traditional data warehousing solutions. Learn how Yahoo! uses both to build a billion event a day infrastructure that is fast, easy, and cost-effective. Dive into how Yahoo performs advanced user retention and cohort analysis to make near–real time product and marketing decisions.
NEW LAUNCH! Intro to Amazon Athena. Analyze data in S3, using SQLAmazon Web Services
This document provides an overview of Amazon Athena, an interactive query service that makes it easy to analyze data stored in Amazon S3 using standard SQL. Key points include:
- Athena allows users to analyze large datasets in S3 without having to load the data into a separate data warehouse or Hadoop cluster. It is serverless, requiring no infrastructure to manage.
- Users can write SQL queries against data stored in S3 in a variety of formats like CSV, JSON, and columnar formats like Parquet. Athena supports complex queries, joins, and functions.
- Athena is cost effective, with customers paying only for the amount of data scanned during queries. Using compression and columnar formats
This session will begin with an introduction to non-relational (NoSQL) databases and compare them with relational (SQL) databases. Learn the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service, and see the DynamoDB console first-hand. See a walk-through demo of building a serverless web application using this high-performance key-value and JSON document store.
This document discusses new features and enhancements for Amazon Web Services databases and analytics services announced at re:Invent 2019. It provides information on Amazon Redshift RA3 instances that deliver 3x the performance of existing cloud data warehouses at lower cost by paying for compute and storage separately. It also covers new capabilities for Amazon Athena, Amazon EMR, Amazon Redshift, Amazon QuickSight, and other services that help customers analyze more data from more sources and build more powerful analytics applications.
Migration from Oracle to PostgreSQL: NEED vs REALITYAshnikbiz
Some of the largest organization in the world today are going cost-efficient by innovating their database layer. Migrating workloads from legacy systems to an enterprise open source database technology like Postgres is a preferred choice for many.
The document discusses serverless architectures on AWS. It begins with an introduction to why serverless is useful, specifically that it allows developers to focus on code without worrying about provisioning or managing infrastructure. Next, it provides guidance on migrating applications to a serverless model using AWS services like Lambda, API Gateway, and others. It then covers the AWS Serverless Application Model (SAM) for defining serverless applications through CloudFormation templates. Finally, it discusses infrastructure as code (IaC) and how tools like CloudFormation can be used to manage resources on AWS.
by Rajeev Srinivasan, Sr. Solutions Architect, AWS
Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value store models. Its flexible data model, reliable performance, and automatic scaling of throughput capacity, makes it a great fit for mobile, web, gaming, ad tech, IoT, and many other applications. We’ll take a look at how DynamoDB works and how it can be accelerated by DAX, the DynamoDB Accelerator.
Introduction to Apache Calcite. An overview of the core features that Apache Calcite provides to help build a database. The talk covers Calcite's SQL parser, cost-based optimizer, pluggable data sources, and JDBC-HTTP server "Avatica".
(BDT314) A Big Data & Analytics App on Amazon EMR & Amazon RedshiftAmazon Web Services
Nasdaq has extended its use of Amazon Redshift to include Amazon EMR and Amazon S3 in order to better manage storage and compute resources separately. Data is ingested into Redshift and then transformed and unloaded to S3. EMR is then used to convert the data to Parquet format and write it to S3 partitioned by date. The data in S3 is accessed using Presto with encryption at rest. Hive is used to manage schemas and partitions across data sources. Tools were developed to help with encryption, schema management, and data migrations between systems while maintaining security and performance.
Deep Dive on Amazon Aurora MySQL Performance Tuning (DAT429-R1) - AWS re:Inve...Amazon Web Services
Amazon Aurora offers several options for monitoring and optimizing MySQL database performance. These include Enhanced Monitoring and Performance Insights, an easy-to-use tool for assessing the load on your database and identifying slow-performing queries. In this session, learn how to tune the performance of your Aurora database with MySQL compatibility, whether your application is in development or in production.
DynamoDB is a NoSQL database service built for fast, scalable, consistent performance. This presentation introduces DynamoDB and discusses how to get started, provision throughput, design for the DynamoDB data model, query and scan tables and scale reads and writes without downtime.
The document provides information about querying and analyzing data in Amazon S3 using various AWS services. It discusses:
1. Using Amazon EMR to process raw web logs delivered to S3 by Kinesis Firehose using Apache Spark.
2. Loading the processed data into Amazon Redshift for interactive querying using SQL.
3. Performing ad-hoc analysis on the data in S3 using serverless Athena without having to set up any infrastructure.
Cost-based query optimization in Apache Hive 0.14Julian Hyde
Tez is making Hive faster, and now cost-based optimization (CBO) is making it smarter. A new initiative in Hive introduces cost-based optimization for the first time, based on the Optiq framework. Optiq's lead developer Julian Hyde shows the improvements that CBO is bringing in Apache Hive 0.14.
For those interested in Hive internals, he gives an overview of the Optiq framework and shows some of the improvements that are coming to future versions of Hive with the Stinger.next initiative.
(AWS Certification Training: https://www.edureka.co/cloudcomputing)
This “Amazon Redshift" tutorial by Edureka will help you understand what Amazon Redshift is & how to set up a data warehouse on cloud using Amazon Redshift. Below are the topics covered in the ppt:
1. Traditional Data Warehouse
2. Amazon Redshift – A to Z
3. Demo on Amazon Redshift
Check out our complete AWS Playlist here: https://goo.gl/8qrfKU
The document discusses Amazon Aurora, a database service from AWS that is compatible with PostgreSQL and MySQL. It provides summaries of Aurora's architecture, performance advantages, and customer benefits compared to traditional databases. Specifically, the document notes that Aurora achieves higher performance and availability than PostgreSQL by using a distributed, scalable storage system and replicating data across Availability Zones. It shares performance test results showing that Aurora can be up to 3x faster than PostgreSQL for various workloads. Customers have also cited lower costs and easier management with Aurora compared to commercial databases.
AWS Glue is a fully managed, serverless extract, transform, and load (ETL) service that makes it easy to move data between data stores. AWS Glue simplifies and automates the difficult and time consuming tasks of data discovery, conversion mapping, and job scheduling so you can focus more of your time querying and analyzing your data using Amazon Redshift Spectrum and Amazon Athena. In this session, we introduce AWS Glue, provide an overview of its components, and share how you can use AWS Glue to automate discovering your data, cataloging it, and preparing it for analysis.
(SDD407) Amazon DynamoDB: Data Modeling and Scaling Best Practices | AWS re:I...Amazon Web Services
Amazon DynamoDB is a fully managed, highly scalable distributed database service. In this technical talk, we show you how to use DynamoDB to build high-scale applications like social gaming, chat, and voting. We show you how to use building blocks such as secondary indexes, conditional writes, consistent reads, and batch operations to build the higher-level functionality such as multi-item atomic writes and join queries. We also discuss best practices such as index projections, item sharding, and parallel scan for maximum scalability.
Amazon DynamoDB Design Patterns for Ultra-High Performance Apps (DAT304) | AW...Amazon Web Services
The document summarizes a presentation on advanced design patterns for building ultra-high performance apps using Amazon DynamoDB. The presentation covers using hash and range schemas to model social networks, secondary indexes for flexible querying of image data, conditional writes for synchronizing game state, and fine-grained access control for user data. Examples are provided for each pattern discussed.
La big datacamp-2014-aws-dynamodb-overview-michael_limcacoData Con LA
This document discusses Amazon DynamoDB, a fully managed NoSQL database service from AWS. It provides three key points:
1. DynamoDB offers fast and predictable performance with single-digit millisecond latency, automatic scaling of storage and throughput capacity, and built-in security, backup and disaster recovery capabilities.
2. DynamoDB uses a flexible data model with key-value and document data structures, and supports both document and relational data structures. It also includes rich query capabilities and SDKs/APIs for developers.
3. The document provides an example of modeling user data and files for a media catalog application using DynamoDB tables and secondary indexes to support various access patterns like searching by
AWS provides multiple storage options to meet your varying needs. This presentation provides an overview of how AWS Cloud storage services can be used to support application development and delivery, backup, archive, disaster recovery, and virtualized compute.
AWS Summit 2013 | Singapore - Public Sector Keynote, Teresa CarlsonAmazon Web Services
Teresa Carlson discussed how AWS is helping governments and educational institutions by providing cost effective cloud computing solutions. Over 500 government agencies and 2,000 educational institutions globally are using AWS. An example is Singapore, which developed its first government-wide intelligent map portal on AWS that sees 150 million hits per month and cost 60% less while allowing better collaboration. Singapore Management University also leverages AWS to deploy university sites faster and meet web demands more adequately. Carlson announced the launch of a new "City on a Cloud" demo site and thanked the audience.
AWS Summit 2013 | Auckland - Extending your Datacentre with Amazon VPCAmazon Web Services
As more organisations seek to leverage the power and benefits of the cloud, they also need to combine new systems with existing on-premise systems. Services such as Amazon Virtual Private Cloud (VPC) and AWS Direct Connect enable AWS customers to combine on-premise and cloud-based resources easily and effectively. This session will walk customers through the 4 main patterns of connectivity and will include a "real time" demonstration of how easy it is to setup your own VPC and start working in your own private section of the AWS Cloud.
AWS allows customers to pay only for the infrastructure they need, lowering costs compared to traditional hosting. This flexibility also enables rapid innovation by making resources programmable rather than fixed. AWS cites examples like Obama For America being able to build solutions rapidly for a changing environment. AWS also helps control costs through automatic scaling of provisioned capacity to match traffic fluctuations. AWS argues this "big data revolution" allows understanding customers, content popularity, and product usage to deliver the right content.
AWS Sydney Summit 2013 - Continuous Deployment Practices, with Production, Te...Amazon Web Services
This document discusses continuous deployment with Amazon Web Services. It shows how AWS services like Elastic Beanstalk, OpsWorks, and CloudFormation can be used to automate application deployments. Continuous deployment allows for small, frequent code changes to constantly and automatically be deployed to production. This enables a faster development cycle and greater agility. AWS services provide the ability to deploy applications at scale through automated management and provisioning of infrastructure.
This document discusses Sage's use of AWS for development and test environments. It outlines Sage's journey from early investigation of AWS to wider adoption across various stages of development and testing. Key benefits discussed include the ability to quickly provision new environments, create isolated test versions, and integrate deployment with their build process. The document also provides an overview of their UAT service process using AWS and benefits like empowering QA teams and enabling clean database provisioning for each test.
This document lists the edge locations for Amazon CloudFront around the world, including over 50 locations across Europe, Asia, South America, North America, and other regions. It then discusses how Samsung uses AWS services like CloudFront to deliver applications and content to devices, saving $34 million in hardware and maintenance costs compared to an on-premises solution. Finally, it provides an overview of Amazon CloudFront, including its features, integrations with other AWS services, low costs, and performance test results showing faster delivery of web content compared to other content delivery networks.
The document discusses the increasing scale of genomic and biological data sets and the computational challenges they present. It describes several large-scale genomic projects including the Human Genome Project, sequencing additional species, and the 1000 Genomes Project. These projects have generated data sets ranging from gigabytes to terabytes to petabytes in size. The document argues that making these vast data sets and associated computational resources available through the cloud, like Amazon Web Services, allows more groups to tackle important problems that were previously unfeasible due to infrastructure limitations.
With the introduction of AWS OpsWorks, you can now build and manage your application stacks with the finesse and control of Chef recipes. OpsWorks compliments the AWS management frameworks and in this session we'll dive deep on how to use OpsWorks and how to get the best from the framework.
Thomas Metschke, Technical Program Manager, AWS
Rik Heywood, Technical Director, Workfu
AWS Canberra WWPS Summit 2013 - Extending your Datacentre with Amazon VPCAmazon Web Services
As more organisations seek to leverage the power and benefits of the cloud, they also need to combine new systems with existing on-premise systems. Services such as Amazon Virtual Private Cloud (VPC) and AWS Direct Connect enable AWS customers to combine on-premise and cloud-based resources easily and effectively. This session will walk customers through the 4 main patterns of connectivity and will include a "real time" demonstration of how easy it is to setup your own VPC and start working in your own private section of the AWS Cloud.
AWS Summit 2013 | Singapore - Extending your Datacenter with Amazon VPCAmazon Web Services
As more organizations seek to leverage the power and benefits of the cloud, they also need to combine new systems with exiting on-premises systems. Services such as Virtual Private Cloud, VPN and DirectConnect enable AWS customers to combine on-premises and cloud-based resources easily and effectively. This session will walk customers through the 4 main patterns of connectivity and will include a ""real time"" demonstration of how easy it is to setup your own VPC and start working in your own private section of the AWS Cloud.
Developing applications on Amazon Web Services (AWS) or moving your business into the cloud is more straightforward than you think. Whether you are a developer eager to learn new skills, a solutions architect who wants to solve existing technology problems, the IT professional who wants access to cost-effective, on-demand computing resources, this workshop is for you.
These slides feature some of the most popular Amazon Web Services: Amazon Elastic Compute Service (EC2), Amazon Simple Storage Service (S3), Amazon CloudFront, Amazon Elastic Block Storage (EBS) and Amazon Relational Database Service (RDS).
Amazon EC2 Demo: http://youtu.be/kMExnVKhmYc
AWS Webcast - Intro to DevOps: Using Amazon RDS with AWS OpsWorksAmazon Web Services
The document discusses DevOps and how AWS OpsWorks can help with DevOps practices. It defines DevOps as alignment between development and operations teams through improved communication and collaboration. It discusses how OpsWorks can help with iterative development, treating infrastructure as code, automation, and practicing resilience. OpsWorks provides automated provisioning, deployment, scaling, and management of applications and their supporting infrastructure.
Viaggio attraverso il cloud come costruire architetture web scalabili e rob...Amazon Web Services
In questa presentazione spiegheremo come disegnare architetture elastiche e affidabili su AWS, usando le architetture web come punto di riferimento. Verranno anche coperti aspetti di scalabilità, sicurezza, gestione delle applicazioni e copertura globale.
MED303 Addressing Security in Media Workflows - AWS re: Invent 2012Amazon Web Services
Are your media assets secure? For media companies, security is paramount. Few things can more directly impact your company’s bottom line. As the move to store, process and distribute digital media via the cloud continues, it is imperative to examine the relevant security implications of a multi-tenant public cloud environment. This talk is intended to answer questions around securely storing, processing, distributing and archiving digital media assets on the AWS environment. AWS also enables customers to achieve compliance with the MPAA security best practices with minimal effort. Learn how AWS complies with the MPAA security best practices and how media companies can leverage that for their media workloads.
Amazon Elastic Compute Cloud (Amazon EC2) provides resizable compute capacity in the cloud and is often the starting point for your first week using AWS. This session will introduce these concepts, along with the fundamentals of EC2, by employing an agile approach that is made possible by the cloud. Attendees will experience the reality of what a first week on EC2 looks like from the perspective of someone deploying an actual application on EC2. You will follow them as they progress from deploying their entire application from an EC2 AMI on day 1 to more advanced features and patterns available in EC2 by day 5. Throughout the process we will identify cloud best practices that can be applied to your first week on EC2 and beyond.
AWS Webcast - Optimize your database for the cloud with DynamoDB – A Deep Div...Amazon Web Services
Amazon DynamoDB is a fully managed, highly scalable distributed database service. Global Secondary Indexes (GSI) give you the flexibility to query your DynamoDB tables in new and powerful ways.
In this session, we will:
• Describe how GSI's work under the covers to ensure consistent low latency at any scale.
• Walk through various access patterns so that you will learn how to take full advantage of GSI's and implement best practice designs that will scale efficiently and cost-effectively.
This session is designed for developers and architects seeking to build rich applications that require performance and availability with absolute data durability.
This webinar is aimed at older portfolio companies who may have started when AWS wasn't as strong as it is today. Redshift is a great way to to use the cloud and bring data to the cloud where other cloud services (EMR) can consume it.
AWS Webcast - Build high-scale applications with Amazon DynamoDBAmazon Web Services
This document discusses Amazon DynamoDB and how it provides a fully managed NoSQL database service. Some key points:
- DynamoDB allows developers to offload operational tasks like provisioned throughput, automated scaling and patching to AWS. This simplifies development and reduces costs.
- The document outlines DynamoDB's data model including tables, items, attributes and indexes. It also discusses how DynamoDB partitions and distributes data automatically based on hash keys to enable massive scale.
- Various AWS services are shown that integrate with DynamoDB for different data workloads like search, analytics and caching. Best practices are also provided around data modeling, queries and system design.
Aws Summit Berlin 2013 - Understanding database options on AWSAWS Germany
With AWS you can choose the right database for the right job. Given the myriad of choices, from relational databases to non-relational stores, this session will profile details and examples of some of the choices available to you (MySQL, RDS, Elasticache, Redis, Cassandra, MongoDB and DynamoDB), with details on real world deployments from customers using Amazon RDS, ElastiCache and DynamoDB.
Redshift is a petabyte-scale data warehouse that is a lot faster, a lot less expensive and a whole lot simpler to use. How can you get your data into Amazon Redshift? In this webinar, hear from representatives of Attunity (Amazon Redshift Partner), and AWS as they present many of the options available for data integration. Whether your data is in an on premise platform or a cloud based database like DynamoDB, we will show you how you can easily load your data in to Re
dshift.
Reasons to attend: - Learn about best practices to efficiently integrate data into Redshift. - Attend Q&A session with Redshift experts
Amazon RDS makes it easy to set up, operate, and scale relational deployments in the cloud. We are to introduce PostgreSQL to the family of supported database engines. Now, you can deploy scalable PostgreSQL deployments in minutes, freeing you up to focus on application development instead of time-consuming database administration tasks including backups, software patching, monitoring, scaling and replication. In this webinar, we will provide an overview of Amazon RDS for PostgreSQL, discuss popular use cases, and share best practices that will help you fully leverage PostgreSQL in the cloud.
Advanced Design Patterns for Amazon DynamoDB - Workshop (DAT404-R1) - AWS re:...Amazon Web Services
Join us for a practical hands-on workshop on using Amazon DynamoDB. This session is designed for developers, engineers, and database administrators who are involved in designing and maintaining DynamoDB applications. We begin with a walkthrough of proven NoSQL design patterns for at-scale applications. Next, we use step-by-step instructions to apply lessons learned to design DynamoDB tables and indexes that are optimized for performance and cost. Expect to leave this session with the knowledge to build and monitor DynamoDB applications that can grow to any size and scale. Attendees should have a basic understanding of DynamoDB. Bring your laptop to participate in this workshop.
DynamoDB queries enable consistent low latency at any workload, using the partition key, sort key, local secondary indexes, and global secondary indexes. Amazon Elasticsearch Service enables flexible search, including ranking and aggregation. Adding Elasticsearch to DynamoDB opens new capabilities to combine the power of query and search. Learn how Amazon.com uses this combination and how you can use it, too
by Darin Briskman, Technical Evangelist, AWS
DynamoDB queries enable consistent low latency at any workload, using the partition key, sort key, local secondary indexes, and global secondary indexes. Amazon Elasticsearch Service enables flexible search, including ranking and aggregation. Adding Elasticsearch to DynamoDB opens new capabilities to combine the power of query and search. Learn how Amazon.com uses this combination and how you can use it, too. Level: 200
Learn tuning best practices for taking advantage of Amazon Redshift's columnar technology and parallel processing capabilities to improve your delivery of queries and improve overall database performance. This session explains how to migrate from existing data warehouses, create an optimized schema, efficiently load data, use work load management, tune your queries, and use Amazon Redshift's interleaved sorting features. Finally, learn how to use these best practices to give their entire organization access to analytic insights at scale.
Presented by: Alex Sinner, Solutions Architecture PMO, Amazon Web Services
Customer Guest: Luuk Linssen, Product Manager, Bannerconnect
Building Serverless ETL Pipelines with AWS Glue - AWS Summit Sydney 2018Amazon Web Services
Building Serverless ETL Pipelines with AWS Glue
In this session we will introduce key ETL features of AWS Glue and cover common use cases ranging from scheduled nightly data warehouse loads to near real-time, event-driven ETL flows for your data lake. We will also discuss how to build scalable, efficient, and serverless ETL pipelines.
Ben Thurgood, Solutions Architect, Amazon Web Services
With AWS you can choose the right database technology and software for the job. Given the myriad of choices, from relational databases to non-relational stores, this session provides details and examples of some of the choices available to you. This session also provides details about real-world deployments from customers using Amazon RDS, Amazon ElastiCache, Amazon DynamoDB, and Amazon Redshift.
Optimizing Your Amazon Redshift Cluster for Peak Performance - AWS Summit Syd...Amazon Web Services
Optimising Your Amazon Redshift Cluster for Peak Performance
In this session we take an in-depth look at the latest features in Amazon Redshift, including analysing data store in and outside of your cluster with Amazon Redshift Spectrum, query and platform enhancements, and more. We will dive deep into best practices on how to design optimal schemas, load data efficiently, and optimise your queries to deliver high throughput and performance.
Eric Ferreira , Principal Database Engineer, Amazon Web Services
The document discusses Amazon Elasticsearch Service, which is a fully managed service for deploying and operating Elasticsearch clusters. Key points include:
- It allows deploying a production-ready Elasticsearch cluster within minutes and easily scaling the cluster.
- Data is securely stored within a user's VPC and access can be restricted using IAM policies and security groups.
- The service is tightly integrated with other AWS services to allow for seamless data ingestion, security, monitoring, and orchestration.
(ISM303) Migrating Your Enterprise Data Warehouse To Amazon RedshiftAmazon Web Services
Learn how Boingo Wireless and online media provider Edmunds gained substantial business insights and saved money and time by migrating to Amazon Redshift. Get an inside look into how they accomplished their migration from on-premises solutions. Learn how they tuned their schema and queries to take full advantage of the columnar MPP architecture in Amazon Redshift, how they leveraged third party solutions, and how they met their business intelligence needs in record time.
Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value store models. Its flexible data model, reliable performance, and automatic scaling of throughput capacity, makes it a great fit for mobile, web, gaming, ad tech, IoT, and many other applications. We’ll take a look at how DynamoDB works and how it can be accelerated by DAX, the DynamoDB Accelerator.
Speaker: Lex Crosett - Solutions Architect, AWS
by Darin Briskman, Technical Evangelist, AWS
Microsoft SQL Server is a commonly-used commercial relational database, especially for organizations that use Microsoft development tools. We’ll look at how to run SQL Server on the AWS Cloud, with examples of organizations using it.
(BDT401) Amazon Redshift Deep Dive: Tuning and Best PracticesAmazon Web Services
Get a look under the covers: Learn tuning best practices for taking advantage of Amazon Redshift's columnar technology and parallel processing capabilities to improve your delivery of queries and improve overall database performance. This session explains how to migrate from existing data warehouses, create an optimized schema, efficiently load data, use work load management, tune your queries, and use Amazon Redshift's interleaved sorting features. Finally, learn how TripAdvisor uses these best practices to give their entire organization access to analytic insights at scale.
The document discusses DynamoDB, a fully managed nonrelational database service from AWS for internet-scale applications. It provides fast and consistent performance without the need for administration. DynamoDB allows for scaling of storage and throughput, automated backups and data replication across regions, and integration with other AWS services. Real-world examples show how customers like Samsung and Capital One use DynamoDB to power their applications.
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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.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
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
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
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.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.
How to Implement a Real Estate CRM SoftwareSalesTown
To implement a CRM for real estate, set clear goals, choose a CRM with key real estate features, and customize it to your needs. Migrate your data, train your team, and use automation to save time. Monitor performance, ensure data security, and use the CRM to enhance marketing. Regularly check its effectiveness to improve your business.
Taurus Zodiac Sign: Unveiling the Traits, Dates, and Horoscope Insights of th...my Pandit
Dive into the steadfast world of the Taurus Zodiac Sign. Discover the grounded, stable, and logical nature of Taurus individuals, and explore their key personality traits, important dates, and horoscope insights. Learn how the determination and patience of the Taurus sign make them the rock-steady achievers and anchors of the zodiac.
Top mailing list providers in the USA.pptxJeremyPeirce1
Discover the top mailing list providers in the USA, offering targeted lists, segmentation, and analytics to optimize your marketing campaigns and drive engagement.
Recruiting in the Digital Age: A Social Media MasterclassLuanWise
In this masterclass, presented at the Global HR Summit on 5th June 2024, Luan Wise explored the essential features of social media platforms that support talent acquisition, including LinkedIn, Facebook, Instagram, X (formerly Twitter) and TikTok.
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FIA officials brutally tortured innocent and snatched 200 Bitcoins of worth 4...jamalseoexpert1978
Farman Ayaz Khattak and Ehtesham Matloob are government officials in CTW Counter terrorism wing Islamabad, in Federal Investigation Agency FIA Headquarters. CTW and FIA kidnapped crypto currency owner from Islamabad and snatched 200 Bitcoins those worth of 4 billion rupees in Pakistan currency. There is not Cryptocurrency Regulations in Pakistan & CTW is official dacoit and stealing digital assets from the innocent crypto holders and making fake cases of terrorism to keep them silent.
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Zodiac Signs and Food Preferences_ What Your Sign Says About Your Tastemy Pandit
Know what your zodiac sign says about your taste in food! Explore how the 12 zodiac signs influence your culinary preferences with insights from MyPandit. Dive into astrology and flavors!
Understanding User Needs and Satisfying ThemAggregage
https://www.productmanagementtoday.com/frs/26903918/understanding-user-needs-and-satisfying-them
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
In this webinar, we won't focus on the research methods for discovering user-needs. We will focus on synthesis of the needs we discover, communication and alignment tools, and how we operationalize addressing those needs.
Industry expert Scott Sehlhorst will:
• Introduce a taxonomy for user goals with real world examples
• Present the Onion Diagram, a tool for contextualizing task-level goals
• Illustrate how customer journey maps capture activity-level and task-level goals
• Demonstrate the best approach to selection and prioritization of user-goals to address
• Highlight the crucial benchmarks, observable changes, in ensuring fulfillment of customer needs
Building Your Employer Brand with Social MediaLuanWise
Presented at The Global HR Summit, 6th June 2024
In this keynote, Luan Wise will provide invaluable insights to elevate your employer brand on social media platforms including LinkedIn, Facebook, Instagram, X (formerly Twitter) and TikTok. You'll learn how compelling content can authentically showcase your company culture, values, and employee experiences to support your talent acquisition and retention objectives. Additionally, you'll understand the power of employee advocacy to amplify reach and engagement – helping to position your organization as an employer of choice in today's competitive talent landscape.
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