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About
PetaBolt – High Performance Big Data Analytics
PetaBolt is an advanced Hadoop-based data warehouse designed to deliver sub-second query latency, enabling businesses to perform high-speed analytics on massive datasets. It functions as an OLAP system on Hadoop, allowing users to execute complex queries interactively, without requiring extensive coding.
Common Challenges Addressed:
- Slow Query Performance: Traditional data warehouses struggle with latency when processing large datasets.
- Scalability Issues: Businesses require a solution that can scale with increasing data volume.
- Limited Real-Time Analytics: Many existing solutions lack the ability to process and query data in near real-time.
- Compatibility Limitations: Difficulty in integrating with popular BI tools and analytics platforms.
- Complex Data Integration: Managing multiple data sources without a unified data store leads to inefficiencies.

Services Offered:

High-Speed OLAP on Hadoop
PetaBolt provides real-time OLAP processing, ensuring interactive analytics with sub-second query speeds. Businesses can accelerate reporting, reduce query lag, and improve data-driven decision-making without expensive infrastructure.

API-Driven Data Access
PetaBolt’s PetaView tracks streaming data with minute-level latency, enabling businesses to make faster decisions. It supports real-time analytics, ensuring businesses can detect trends, risks, and opportunities instantly.

Scalable Data Warehousing
With PetaTable, businesses can integrate structured and unstructured data into Hadoop, creating a unified Operational Data Store (ODS). This reduces data latency, enhances real-time insights, and ensures seamless data management across enterprise systems.

Visual Analytics & Cube-Based Processing
With PetaCube, businesses can create multi-dimensional OLAP cubes, allowing fast data slicing, dicing, and drill-down analysis. The web-based interface enables intuitive reporting, making data insights more accessible.