Data Blending
The right data blending toolsets enable your organization to access, integrate, cleanse, and consume data in record time and with a high degree of accuracy and security. With Impetus Data Blending solution that replaces a traditional ETL approach with a modern self-service driven data blending approach, enterprises can accelerate time-to-insight.
This solution brief explains how Impetus Data blending solution provides data quality controls, including baked-in security, and superior workload control via pause, quick resume, recover and other data pipeline controls.
Data Warehouse Modernization
Enterprises are demanding business value from Big Data. As a result, the ability to blend petabytes and exabytes of data from historical and streaming sources becomes a necessity and data warehouse modernization becomes a top priority.
Because the data warehouse is often thought of as the heart of an enterprise’s Big Data and analytics strategies, modernizing it has a potentially powerful and very positive effect on the bottom-line impact of new technologies, platforms, tools, and practices. No matter what modernization strategy is in play, all data warehouses require significant adjustments to the logical and systems architectures of the extended data warehouse environment.
Download the Forrester report ‘The Next-Generation EDW Is The Big Data Warehouse’ to get more insights on Data Warehouse Modernization.
Accelerate Big Data Use-cases with Unified Data Processing Platform, StreamAnalytix
StreamAnalytix is a platform that lets users easily and quickly build and deploy big data streaming and batch analytics applications for any industry vertical, any data format, and any use case.
This data sheet will give you a snapshot of:
- Industry's only product that provides the powerful advantage of a Visual Developer Studio with end-end Data360
- Data360 with StreamAnalytix 3.0
- Business benefits that enterprises can derive with StreamAnalytix
- StreamAnalytix architecture
Download the data sheet now to learn more.
Big Data Cross Platform Cluster Management
Big Data Cluster Management Solution (Ankush)Ankush Cluster Manager is a web-based solution for Big Data cluster provisioning and management. It is an Open Source solution that offers multiple vendor support with support for multiple clusters and technology under one roof.
Kundera: An Easy Transition to NoSQL
Kundera, an Open Source project backed by Impetus Technologies, is a JPA-based object-relational mapping (ORM) tool that facilitates the transition from RDBMS to NoSQL or NewSQL data stores while reducing the core challenges faced by Big Data application developers.
Data Science Services and Solutions
Our expertise in Data Science can help you harness your Big Data and turn it into real business value. Some of our key services include:
- Analyzing data assets of an organization
- Developing Data Science roadmaps
- Creating algorithms to address data challenges
- Creating visualizations
Workload Migration Simplified
Legacy enterprise data warehouses (EDW) are challenged to provide affordable scalability when confronted with Big Data processing requirements.
Hadoop and Data Lake strategies can offer a cost-effective and scalable way to handle Big Data. The Impetus Big Data Warehouse (BDW) Workload Migration solution substantially reduces the time and cost to take advantage of these opportunities.
This solution brief explains how BDW Workload Migration addresses these challenges with a proven, repeatable methodology and a powerful automation toolset.
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