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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Amplience
Amplience empowers brands and retailers that prioritize digital engagement with enhanced capabilities to expand their potential. Through our intuitive low-code Content Management System, Digital Asset Management, and Digital Experience Management platform, over 350 top global brand teams can focus on managing content rather than code. This approach leads to a swift return on investment for our clients, who successfully create data and insight-driven customer experiences that foster deeper and more meaningful customer connections. Amplience is at the forefront of the industry's shift towards Microservice, API-first, Cloud, and Headless (MACH) technologies, holding MACH certification and being an executive member of the MACH Alliance. Our innovative solutions, including Dynamic Content and Dynamic Media, are designed to meet the evolving needs of modern businesses, ensuring they stay ahead in a competitive landscape. For further details on what Amplience offers, please visit www.amplience.com.
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MACH Energy
MACH Energy's software platform reduces energy expenses by 5-10%, generates budgets and variance reports, integrates seamlessly with the ENERGY STAR system, automates tenant billing, and effectively enhances both building NOI and asset values in a straightforward manner. For over 15 years, MACH has been simplifying processes for numerous building teams. Our innovative platform provides precise financial impacts of operational adjustments through continuous integration with existing tariffs and is also available as a mobile application, ensuring accessibility and convenience for users. This commitment to efficiency and user-friendly design sets MACH Energy apart in the industry.
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