Jaspersoft Announces New Capabilities for Big Data Offering
SAN FRANCISCO, Calif., Feb. 11 — Jaspersoft, the Intelligence Inside applications and business processes, today announced new capabilities for its Big Data embedded analytics offering. Features include new intelligent native connectors and data virtualization support to improve the access and delivery of Big Data visualizations inside applications. The new capabilities add to an embedded analytics offering that has the industry’s broadest set of native connectors for Big Data analytics, supporting Hadoop, MongoDB, Cassandra, Redshift and dozens more.
The Jaspersoft Big Data embedded analytics offering provides a broad range of data access strategies, including native real-time reporting and analysis, data blending of NoSQL and relational sources using an innovative data virtualization layer, and batch analysis using data integration. Customers can choose one or more access techniques and combine with a variety of visualizations to present the right insight to the right user.
“Self-service exploratory BI for business users is one of the key value propositions for Big Data and Cloudera’s Enterprise Data Hub. Presenting business users with direct, agile access to specific data sets, allows business users to make immediate and informed decisions,” said Tim Stevens, vice president Business and Corporate Development for Cloudera. “With Cloudera Impala and Jaspersoft, customers can reduce the BI backlog of business user requests and deliver instant access to large volumes of data without spending time and resources on optimizations.”
Thanks to these capabilities, Jaspersoft customers are ushering in a new breed of Big Data application by harnessing sensor, transactional and human generated data to present insight directly within the application user interface instead of within a separate tool used only by specialists. With Jaspersoft, Big Data applications can now natively access and combine, in real-time, relational and non-relational sources into a fully interactive report or dashboard and embed within a business application.
Kansys, Inc. uses Jaspersoft to embed Big Data analytics in its Event Visibility Platform by combining relational and MongoDB data to give telecom carriers greater visibility into their operations and services. Clockwork Solutions uses embedded analytics to bring predictive Big Data insights to Enterprise Asset Management.
“Embedded analytics are helping bring Big Data insights to everyday users through applications like Clockwork Solutions and Kansys. These companies are harnessing data stored in Big Data stores like Hadoop and MongoDB to provide immediate insights in the context of a business process where it’s needed most,” said Karl Van den Bergh, vice president of product and alliances for Jaspersoft. “Embedded analytics are allowing the value of Big Data to be extended beyond a relatively small group of data scientists or analysts and delivered directly to everyday business users.”
April 24, 2024
- AtScale Introduces Developer Community Edition for Semantic Modeling
- Domopalooza 2024 Sets a High Bar for AI in Business Intelligence and Analytics
- BigID Highlights Crucial Security Measures for Generative AI in Latest Industry Report
- Moveworks Showcases the Power of Its Next-Gen Copilot at Moveworks.global 2024
- AtScale Announces Next-Gen Product Innovations to Foster Data-Driven Industry-Wide Collaboration
- New Snorkel Flow Release Empowers Enterprises to Harness Their Data for Custom AI Solutions
- Snowflake Launches Arctic: The Most Open, Enterprise-Grade Large Language Model
- Lenovo Advances Hybrid AI Innovation to Meet the Demands of the Most Compute Intensive Workloads
- NEC Expands AI Offerings with Advanced LLMs for Faster Response Times
- Cribl Wins Fair Use Case in Splunk Lawsuit, Ensuring Continued Interoperability
- Rambus Advances AI 2.0 with GDDR7 Memory Controller IP
April 23, 2024
- G42 Selects Qualcomm to Boost AI Inference Performance
- Veritas Strengthens Cyber Resilience with New AI-Powered Solutions
- CERN’s Edge AI Data Analysis Techniques Used to Detect Marine Plastic Pollution
- Alteryx and DataCamp Partner to Bring Analytics Upskilling to All
- SymphonyAI Announces IRIS Foundry, an AI-powered Industrial Data Ops Platform
April 22, 2024
- Jülich’s New AI Foundation Models Aim to Advance Scientific Applications
- Cognizant and Microsoft Expand Partnership to Deploy Generative AI Across Multiple Industries
- Gulp Data and Datarade Partner to Empower Enterprises to Monetize Data
- Fullstory Launches Data Direct to Enhance Corporate Understanding of Behavioral Data
Most Read Features
Sorry. No data so far.
Most Read News In Brief
Sorry. No data so far.
Most Read This Just In
Sorry. No data so far.
Sponsored Partner Content
-
Get your Data AI Ready – Celebrate One Year of Deep Dish Data Virtual Series!
-
Supercharge Your Data Lake with Spark 3.3
-
Learn How to Build a Custom Chatbot Using a RAG Workflow in Minutes [Hands-on Demo]
-
Overcome ETL Bottlenecks with Metadata-driven Integration for the AI Era [Free Guide]
-
Gartner® Hype Cycle™ for Analytics and Business Intelligence 2023
-
The Art of Mastering Data Quality for AI and Analytics
Sponsored Whitepapers
Contributors
Featured Events
-
AI & Big Data Expo North America 2024
June 5 - June 6Santa Clara CA United States -
AI Hardware & Edge AI Summit Europe
June 18 - June 19London United Kingdom -
AI Hardware & Edge AI Summit 2024
September 10 - September 12San Jose CA United States -
CDAO Government 2024
September 18 - September 19Washington DC United States