Strategies for Data Integration and Big Data Management

Attunity is a leading provider of big data management software solutions that enable access, management, sharing and distribution automation and analysis of data, including Big Data, across heterogeneous enterprise platforms, organisations, and the cloud.

Attunity has supplied innovative software solutions to its enterprise-class customers for nearly 20 years and has successful deployments at thousands of organisations worldwide.

Simplicity is the key

Accelerate delivery of any data across the enterprise and cloud

Empower rapid utilization of data by the business

Continuously improve the management of data

Attunity Replicate

Move the data that moves your business

To manage growing volumes of data today you need to rapidly enable data for analytics in heterogeneous environments. Traditional data movement tools are slow and require manually coded commands that can tie up your best programmers.

Attunity Replicate delivers a modern alternative.

It moves data at high speed across all major source and target platforms through a single “Click to Load” interface that completely automates the end to end replication process.

Administrators and data architects can easily configure, control and monitor bulk loads and real-time updates with enterprise-class change data capture capabilities, and can even “hadoop out of the box” without ever writing a single line of code.

Key Benefits

  • Drag & drop configuration
  • Enable real-time analytics
  • Zero Footprint Architecture
  • Reduce skill and training requirements for replication
  • Analytics agility and full mobility across environments on premise and in the Cloud
  • On-the-fly data filtering and transformation
  • Decrease Big Data management costs
  • Hadoop out of the box
  • Realize performance and cost benefits
  • Reduce resources and skill sets required to deliver Big Data projects

Attunity Compose

Agile Data Warehouse Automation

The latest release of Attunity’s agile data warehouse automation software helps speed up analytics projects, optimise development and ETL processes, and reduce risk.

Compose 3.0 brings a series of significant enhancements to the software’s ETL capabilities, resulting in a 10-fold increase in ETL processing speeds. New advanced DevOps processes (in development, testing, acceptance and production) streamline data warehouse design, development and rollout processes.

Also new is advanced version control, integrated with enterprise source control systems, for rolling projects back to earlier versions. And Compose improves team collaboration, enabling multi-user development projects by supporting concurrent development of models, mappings and data marts.

Key Benefits

  • Design, create and load data warehouses quickly
  • Load and sync data from sources with ease
  • Bypass manual ETL processes to reduce risk and ensure consistency
  • Implement best practices and design patterns for more effective BI projects
  • Automate model design and source mapping
  • Automate data warehouse and ETL generation
  • Deploy data marts without manual coding
  • Reduce time, cost and development resources significantly
  • Profile data, ensure integrity & collaborate
  • Analyze impact before applying change

Attunity Visibility

Data Usage Profiling & Analytics

Attunity Visibility provides analytics for enterprise data warehouse optimization and management across multiple platforms, including Hadoop.

With Visibility, enterprises can completely analyse workloads and data usage across platforms to reduce costs, optimize performance and justify investments.

Visibility continuously collects, stores, and analyses all queries and jobs generated by end users and applications against your monitored systems without disruption. These queries are correlated with data usage and database performance metrics in the Visibility Repository.

The Visibility web application provides detailed and comprehensive usage and performance metrics for your entire data warehouse and Hadoop environments.

Key Benefits

  • Unified analytics across EDW platforms and Hadoop
  • Justify costs and prioritize by business usage
  • Better align IT and the business with factual usage metrics
  • Retain and optimize the most relevant data
  • Optimize data retention policies based on usage analysis
  • Diagnose and resolve performance bottlenecks quickly
  • Conduct impact analysis before making changes
  • Improve operational efficiency & ensure trusted usage of data
  • Rebalance workloads, improve performance and reduce cost