Deploy Scalable, Cost-Efficient Big Data Solutions.

Deploy pay-as-you-go Big Data solutions designed for the flexibility and speed required for greater actionable insights--without the costly infrastructure.

Leverage self-managed solutions, lower operational costs and risks

Break out of data silos and eliminate cost-prohibitive challenges preventing you from maximizing your big data potential. Collect, store, process, analyze, and visualize data —all without any manual handholding tying up your team. Configure automated workflows while orchestrating data movement from a multitude of sources with pay-as-you-go software solutions to: 

  • Reduce operational risks while helping maintaining compliance.
  • Capture new data types—no hardware to buy, infrastructure to maintain.
  • Deploy cost-efficient data back-up storage solutions.

Information Management and Innovation

Capture new data types and ingest data at any velocity, from any number of sources, allowing you to process and analyze in near real-time speeds.

Capture and analyze full datasets, removing silos and efficiency blockers

Capture and analyze full datasets, removing silos and efficiency blockers

Without the speed and flexibility to process data lakes, your decision-making agility falters—reducing the overall efficacy of your analytics. Automating workflows can drive processes at the volume and velocity to meet your requirements, unleashing valuable insights while reducing operational costs.

Capturing data at massive scale can easily lead to a costly, unregulated data swamp. Consider hybrid solutions that combine traditional databases and data warehouses into a unified cloud architecture, supplanting inflexible management solutions and turning the underlying infrastructure invisible. Access self-managed data to automate provisioning, reliability, and performance—regardless of where your data resides.

Capture new data types, reduce costs with self-managed data lakes

CLOUD DATA LAB

CLOUD DATA LAB

Deploy self-managing data lakes that store massive amounts of information, while automatically enacting policies for data experimentation and the elimination of manual operations. Optimize reliability, performance, and costs while retaining structured data for future analysis. Apply solutions across on-premises and the cloud.
CLOUD BURSTING

CLOUD BURSTING

Expand your data analytics across managed and public clouds, as well as on-premises and private cloud resources—all working seamlessly to offer an invisible, cloud-based infrastructure for a powerful, highly scalable application hosting environment. Help generate improved models and go to production faster.
 

Data Analysis and Visualization

Select and deploy self-service data discovery and data preparation solutions, reducing visualization costs. Gain insights through machine learning for predictive analytics.

Extract a 360-degree view for valuable insights

Faster decision-making drives improved customer satisfaction. Analyze and process vast amounts of heterogeneous data through data lakes, employing machine learning for different types of insights and likely outcomes with predictive analytics for a suggested range of prescribed actions.

Help achieve optimal results through automated, cost-effective processes.

Extract a 360-degree view for valuable insights

Drive enhanced insights with solutions on AWS Marketplace

Drive enhanced insights with solutions on AWS Marketplace

AUTOMATIC ANALYSIS ON AWS DATA LAKE

Prepare data (unstructured, semi-structured, and structured) for downstream processing and accelerate analytics through automated processes. Free up IT time by leveraging self-service data preparation—empowering business teams to process and analyze datasets quickly, while helping meet compliance requirements.
ENHANCING A 360-DEGREE CUSTOMER ANALYTICS VIEW

ENHANCING A 360-DEGREE CUSTOMER ANALYTICS VIEW

Go beyond data warehouses by enabling Amazon Redshift to blend and analyze across a data lake—deepening insights with a 360-degree view of your customers across all channels. Reduce ETL (Extract, Transform, Load) development time and drive faster decision-making with comprehensive dashboard visualizations.

Real-Time Data Business Actions

Leverage a pay-as-you-go model for predictive modeling in real-time with proactive controls/processes and complex monitoring, while reducing operational risks.

Wrangle Big Data with machine learning, reduce risks

Wrangle Big Data with machine learning
Generate and process data across a vast sea of sources—from applications, social, clickstreams, etc. by leveraging machine learning for scalable, high-throughput predictions and real-time log analysis.
 
 
Identify issues at the source, minimizing unplanned maintenance while helping fortify security, meet compliance requirements, and reduce operational risks. 

Gain deep visibility on machine data, deploy real-time data pipelines

Gain deep visibility on machine data

IT OPERATIONAL INTELLIGENCE

Make more informed decisions by leveraging machine intelligence. Gain deep visibility by processing and analyzing machine data to accelerate application delivery; monitor and troubleshoot in real time; and help with your shared responsibility to improve security and compliance requirements as needed.
 
BUILDING A REAL-TIME DATA PIPELINE

BUILDING A REAL-TIME DATA PIPELINE

Deploy an infrastructure ready for today’s Big Data world, creating complex data-processing workloads that are designed to be fault tolerant, repeatable, and highly available. Easy-to-use templates allow you to create pipelines for use cases such as regularly processing your log files, or create your own robust, cost-effective custom pipelines for specialized needs.

Find, Buy, and Deploy Software in the Cloud

Amazon Web Services (AWS) Marketplace is a curated digital catalog that makes it easy for customers to find, buy, and deploy software from independent software vendors that customers need to build solutions and run their businesses.

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