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What is jethro?

The surge in data-driven decision-making has led to a notable increase in the volume of business data and a growing need for its analysis. As a result, IT departments are shifting away from expensive Enterprise Data Warehouses (EDW) towards more cost-effective Big Data platforms like Hadoop or AWS, which offer a Total Cost of Ownership (TCO) that is roughly ten times lower. However, these newer systems face challenges when it comes to supporting interactive business intelligence (BI) applications, as they often fail to deliver the performance and user concurrency levels that traditional EDWs provide. To remedy this issue, Jethro was developed to facilitate interactive BI on Big Data without requiring any alterations to existing applications or data architectures. Acting as a transparent middle tier, Jethro eliminates the need for ongoing maintenance and operates autonomously. It also ensures compatibility with a variety of BI tools such as Tableau, Qlik, and Microstrategy, while remaining agnostic regarding data sources. By meeting the demands of business users, Jethro enables thousands of concurrent users to perform complex queries across billions of records efficiently, thereby boosting overall productivity and enhancing decision-making capabilities. This groundbreaking solution marks a significant leap forward in the realm of data analytics and sets a new standard for how organizations approach their data challenges. As businesses increasingly rely on data to drive strategies, tools like Jethro will play a crucial role in bridging the gap between Big Data and actionable insights.

What is Google Cloud Analytics Hub?

Google Cloud's Analytics Hub acts as a dynamic platform for data exchange, enabling organizations to securely and efficiently share data assets beyond their internal confines, while addressing concerns related to data integrity and costs. By harnessing the powerful scalability and flexibility of BigQuery, users can build an extensive library that includes both internal and external datasets, along with unique data sources such as Google Trends. The platform streamlines the processes for publication, discovery, and subscription of data exchanges, which reduces the need for extensive data transfers and makes accessing data and analytical tools easier. Furthermore, Analytics Hub prioritizes security and privacy by implementing strict governance measures, along with advanced security features and encryption protocols sourced from BigQuery, Cloud IAM, and VPC Security Controls. With the use of Analytics Hub, organizations can optimize their data investment through strategic data exchange solutions while promoting interdepartmental collaboration. This innovative platform not only improves data-driven decision-making but also encourages organizations to explore new data opportunities, ultimately leading to enhanced insights and strategies.