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S3 Console Features Comparison Tables
Amazon Simple Storage Service (S3) Console User Guide
This is official Amazon Web Services (AWS) documentation for Amazon Simple Storage Service (S3). The Amazon Simple Storage Service (S3) provides virtually limitless storage in the Internet. This guide explains how you can manage buckets, objects, and folders in Amazon S3 by using the AWS Management Console, a browser-based graphical user interface for interacting with the service. This documentation is offered for free here as a Kindle book, or you can read it online or in PDF format at http://aws.amazon.com/documentation/s3/.
Amazon Simple Storage Service (S3) Console User Guide Features
View a summary of your Amazon Elastic Compute Cloud (EC2) instances, Amazon S3 buckets, Amazon Route 53 hosted zones, load balancers, RDS instances, Auto Scaling groups, AWS Elastic Beanstalk applications, AWS CloudFormation stacks, AWS OpsWorks stacks, Amazon CloudWatch alarms, total service charges, and AWS Service Health status.
Elastic Compute Cloud (EC2): Browse, filter, and search instances. View configuration details, CloudWatch metrics and alarms, and status checks. Perform instance lifecycle operations: start, stop, reboot, terminate. View block devices and create volume snapshots. Manage security group rules and Elastic IP Addresses.
Amazon Simple Storage Service (S3): Browse buckets, view bucket details, browse objects in a bucket, view object details, and view or download objects using your browser. Your device's browser will determine supported actions for the object based on the object's content type.
Amazon Route 53: Browse hosted zones, view hosted zone details, browse records in a hosted zone, and view record details.
Elastic Load Balancing (ELB): Browse, filter, and search load balancers. Add or remove an instance from a load balancer. View configuration details, CloudWatch metrics and alarms, and health checks.
Amazon Relational Database Service (RDS): Browse, filter, and search instances. View configuration details, CloudWatch metrics and alarms, and security and network settings.
If you are a stickler for organization the Aggressiv Center Console Organizer is for you. Simply open your center console and the organizer tray drops right in place. The organizer is designed to store small items such as coins, pens, and cell phones. Larger items are easily stored under the organizer and accessed by lifting up the organizer. Now everything can have its own place. This is not a universal organizer, it is specifically designed and molded for the center console on your 2015+ (8V) A3 or S3. Please verify the dimensions of your center console using the image above. Fits these vehicles: Audi S3 2015+ 2.0T; Audi A3 8V (2014+) 1.8 TSI; Audi A3 8V (2014+) 2.0 TSI;
Practical Amazon EC2, SQS, Kinesis, and S3: A Hands-On Approach to AWS
Provide solutions to all your Amazon EC2, SQS, Kinesis, and S3 problems, including implementation using the AWS Management Console, AWS CLI, and AWS SDK (Java).
You'll find recipes on implementation and configuration of Amazon EC2, SQS, Kinesis, and S3 along with the code snippets and AWS CLI commands.
Practical Amazon EC2, SQS, Kinesis, and S3 uses focused examples that include only the details you need to get things done. You'll see production use cases of Amazon EC2, SQS, Kinesis, and S3 and how to implement cloud watch in projects for these services. Learn how to raise an alarm on Amazon EC2, SQS, Kinesis, and S3 as part of a continuous monitoring system designed to increase performance and avoid side effects in your services.
What You'll Learn
Manage Amazon EC2, SQS, Kinesis, and S3 using the AWS Management Console
Use the AWS CLI
Employ the AWS Java SDK
Configure alarms on Amazon EC2, SQS, Kinesis, and S3
Who This Book Is For
Software developers and architects, system engineers, and project managers
Practical Amazon EC2, SQS, Kinesis, and S3: A Hands-On Approach to AWS Features
iXCC 10 Feet Extra Long Micro USB Cable, Super Durable Charging and Data Sync Cord for Android/Windows/MP3/Camera and other Device
Manufacture's Limited Warranty
This iXCC (TM) product is offered with limited manufacture's warranty.
The limited warranty period for the Product extends for 18-month from the date of purchase.
The product must be purchased from iXCC to be eligible for the warranty. Do not purchase from unauthorized sellers.
During the limited warranty period, iXCC will replace without charge, a Materially Defective Product. You should expect the replacement to take approximately 30 days. iXCC will return replacement Products to you in working condition.
iXCC 10 Feet Extra Long Micro USB Cable, Super Durable Charging and Data Sync Cord for Android/Windows/MP3/Camera and other Device Features
iXCC: Trusted by 5 million+ people for high quality innovative products.
Compatible with Kindle, Kindle Fire, Smartphone, tablet, MP3 player, camera, hard drive, e-reader, external battery, handheld game console, all devices with micro-usb connector.
It is ideal to use with USB charging port chargers while in the car, office and home
Cable is made with 22 AWG High Gauge Low Impedance wire enabling high performance with many USB devices. Sturdy boot gives this cable added strength and durability, over 20000+ Bend lifespan.
What you get: iXCC 10ft MicroUSB to USB(2.0) Cable *1. Warranty: 24-month.
Analyzing Big Data with Hadoop, AWS, and EMR [Online Code]
Number of Videos: 1 hour - 14 lessons Author:Frank Kane User Level:Intermediate Hadoop is today's most pervasive technology used in Big Data for distributing the processing of massive data sets across clusters of commodity computers. With Amazon's Elastic MapReduce service (EMR), you can rent capacity through Amazon Web Services (AWS) to store and analyze data at minimal cost on top of a real Hadoop cluster.
This course shows you how to use an EMR Hadoop cluster via a real life example where you'll analyze movie ratings data using Hive, Pig, and Oozie. It focuses on practical tips for using an EMR cluster efficiently, integrating the cluster with Amazon's S3 service, and determining the right money-saving size for a cluster. You'll learn how to interact with your cluster through the Hue Web interface, from a terminal prompt, as well as through EMR steps that can execute your scripts automatically.
Gain experience with three high value skill sets: Hadoop, AWS, and EMR
Save time and money by learning about the undocumented "gotchas" of AWS and EMR
See how the experts provision EMR clusters and connect to them via SSH and web UIs
Learn to import data into a cluster and to access external data stored on Amazon's S3
Explore three different ways to query data using Hive and Pig
Discover the Tez engine and see how it accelerates Hive and Pig queries
Learn how to schedule workflows using Oozie
Frank Kane spent 9 years at Amazon and IMDb developing and managing the technology that delivers product recommendations to hundreds of millions of customers. Frank holds 17 patents in the fields of distributed computing, data mining, and machine learning. He now runs Sundog Software, a software company focused on virtual reality technology and on Big Data analysis training. He is the author of multiple titles on Spark, MapReduce, Spark Streaming, and Python.
PC Minimum System Requirements:
PC Recommended System Requirements:
Hard Disk: 1GB
Video Card: Any
Supported OS: Windows 10, Windows 8, Windows 8.1, Windows 7, Windows Vista, Windows XP, Windows 2000, Windows
Analyzing Big Data with Hadoop, AWS, and EMR [Online Code] Features
Learn Analyzing Big Data with Hadoop, AWS, and EMR from a professional trainer on your own time at your own desk.
This visual training method offers users increased retention and accelerated learning.
Breaks even the most complex applications down into simplistic steps
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