Google Cloud BigQuery
BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises.
Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.
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DataBuck
Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
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Turnit Ride
Turnit Ride, a cloud-based bus ticket reservation system that allows passenger transport operators to drive and direct their sales using any of their preferred sales strategies, is called Turnit Ride.
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Flomatika
Flomatika offers comprehensive, real-time visibility into the entire product delivery process, enabling clients to gain a clear understanding of ongoing activities and effectively manage operations across team, program, portfolio, and enterprise levels. By delivering actionable insights and identifying hidden constraints that impede enhancements in speed, quality, and value optimization, it acts as a significant driver for transformation, empowering organizations and leaders to take decisive action. This clarity fosters an environment where informed decisions can be made, enhancing overall operational effectiveness. With its dashboards that merge continuous live performance metrics with historical data, Flomatika continuously monitors progress and delivers actionable insights that lead to significant improvements in predictable delivery outcomes. Furthermore, Flomatika harmonizes the efforts of teams and systems throughout the organization, ensuring that resource allocation and capacity are strategically aligned with business objectives, thereby maximizing efficiency and effectiveness. This alignment not only benefits individual teams but also enhances the organization’s overall performance.
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