Build highly scalable and secure Big Data applications fast. No hardware to procure, no infrastructure to maintain. Amazon Web Services Cloud Big Data provides a broad range of services to help you build and deploy big data analytics applications quickly and easily. Amazon Web Services Cloud Big Data gives you fast access to flexible and low-cost IT resources, so you can rapidly scale virtually any big data application including data warehousing, clickstream analytics, fraud detection, recommendation engines, event-driven ETL, serverless computing, and Internet-of-Things processing. With Amazon Web Services Cloud Big Data you don’t need to make large upfront investments in time and money to build and maintain infrastructure. Instead, you can provision exactly the right type and size of resources you need to power big data analytics applications. You can access as many resources as you need, almost instantly, and only pay for what you use.

The most complete platform for big data. Build virtually any big data analytics application; support any workload regardless of volume, velocity, and variety of data. With 50+ services and hundreds of features added every year, Amazon Web Services Cloud Big Data provides everything you need to collect, store, process, analyze, and visualize big data on the cloud. Hadoop & Spark Amazon EMR. Easily provision a fully managed Hadoop framework in minutes. Scale your Hadoop cluster dynamically and pay only for what you use. Run popular frameworks such as Apache Spark, Apache Tez, and Presto. Interactive Query Service with Amazon Athena. Easily analyze petabytes of data in Amazon S3 using ANSI SQL. With Amazon Athena, there are no clusters or data warehouses to manage, so you can start analyzing data immediately. You don’t even need to load your data into Athena, it works directly with data stored in S3. Amazon Elasticsearch Service. Setup and deploy an Elasticsearch cluster in minutes, using a web-based console.

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Amazon Web Services Cloud Big Data Elasticsearch Service

Amazon Elasticsearch Service makes it easy to deploy, operate, and scale Elasticsearch for log analytics, full text search, application monitoring, and more. Amazon Elasticsearch Service is a fully managed service that delivers Elasticsearch easy-to-use APIs and real-time capabilities along with the availability, scalability, and security required by production workloads. The service offers built-in integrations with Kibana, Logstash, and AWS services including Amazon Kinesis Firehose, AWS Lambda, and Amazon CloudWatch so that you can go from raw data to actionable insights quickly. It’s easy to get started with Amazon Elasticsearch Service. You can set up and configure your Amazon Elasticsearch Service domain in minutes from the AWS Management Console. Amazon Elasticsearch Service provisions all the resources for your domain and launches it. The service automatically detects and replaces failed Elasticsearch nodes, reducing the overhead associated with self-managed infrastructure and Elasticsearch software.

AWS Benefits

You can deploy a production-ready Elasticsearch cluster in minutes using Amazon Elasticsearch Service without having to worry about provisioning infrastructure or installing and maintaining Elasticsearch software. Amazon Elasticsearch Service is a fully managed service that simplifies time-consuming management tasks such as software patching, failure recovery, backups, and monitoring. Highly Scalable. Amazon Elasticsearch Service gives you direct access to the Elasticsearch open-source API so you don’t have to learn new programming skills. Amazon Elasticsearch Service supports Logstash, an open-source data ingestion, transformation, and loading tool; and Kibana, an open-source visualization tool. You can control access to the Elasticsearch APIs using AWS Identity and Access Management (IAM) policies. Using IAM policies, you can enable your applications to access your Amazon Elasticsearch clusters securely. Amazon Elasticsearch Service routinely applies security patches and keeps your Elasticsearch environment up to date.

Tightly Integrated With Other AWS Services

Amazon Elasticsearch Service is designed to be highly available using zone awareness, which replicates data between two Availability Zones in the same region. Amazon Elasticsearch Service monitors the health of your clusters and automatically replaces failed nodes. Amazon Elasticsearch Service offers built-in integrations with other AWS services including Amazon Kinesis Firehose, AWS IOT, and Amazon CloudWatch Logs for seamless data ingestion, AWS CloudTrail for auditing; AWS Identity and Access Management (IAM) for security; and AWS CloudFormation for cloud orchestration. Amazon Elasticsearch Service enables you to monitor your cluster through Amazon CloudWatch metrics and resize your cluster up or down via a single API call or a few clicks in the AWS Management Console. You can configure your cluster to meet your performance requirements by selecting from a range of instance types and storage options including SSD-powered EBS volumes.

Use Cases

Analyze un-structured and semi-structured logs generated by websites, mobile devices, servers, sensors, and more for a wide variety of applications such as digital marketing, application monitoring, fraud detection, ad tech, gaming, and IoT. Capture, pre-process, and load log data into Amazon Elasticsearch Service using Amazon Kinesis Firehose, Logstash, or Amazon CloudWatch Logs. You can then search, explore, and visualize the data using Kibana and the Elasticsearch query DSL to gain valuable insights about your users and applications. Provide your customers with a rich search and navigation experience. Amazon Elasticsearch Service supports faceting, which allows your customers to narrow their search results by value ranges for fields like price, product characteristics, and brands; ability to create advanced search criteria filters; search-as-you-type suggester, and near real-time index updates. In addition, you can build elasticity into your search application because Amazon Elasticsearch Service provides easy scaling features to accommodate fluctuating query volumes.
Amazon Web Services Cloud Big Data
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