Systems | Development | Analytics | API | Testing

Rightsizing Your Data Infrastructure: Optimizing Snowflake Cluster and Workspace Configurations

Nov 21, 2024 By Unravel In Unravel
Join us for another enlightening session in our Weekly Walkthrough series, "FinOps Metrics That Matter," where we focus on the critical aspect of rightsizing your Snowflake infrastructure for optimal performance and cost-efficiency. Achieving the right balance between performance and cost is paramount. However, a striking 80% of data management experts grapple with precise cost forecasting and management (Forrester). The primary culprits? Insufficient granular visibility, data silos, and a lack of AI-driven predictive tools.
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snowflake

Leading multi-brand multi-national hotel chain

Nov 21, 2024 By Alec Haase In Snowflake
As travelers increasingly expect personalized experiences, brands in the travel and hospitality industry must find innovative ways to leverage data in their marketing and product experiences. That said, managing vast, complex data sets across multiple brands, loyalty programs and guest touchpoints presents unique challenges for companies in this industry. Enter the Composable CDP on the Snowflake AI Data Cloud for Travel and Hospitality.
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confluent

Connect with Confluent Q4 Update: New Program Entrants and SAP Datasphere Hydration

Nov 21, 2024 By Greg Murphy In Confluent
The Connect with Confluent (CwC) Technology Partner Program consistently expands the reach of Confluent’s data streaming platform across an ever-growing landscape of enterprise data systems. In this blog, you’ll meet the latest program entrants who have built fully managed integrations with Confluent and discover new ways to leverage real-time data across your business.
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yellowfin

Top 3 Data and Analytics Trends to Prepare for in 2025

Nov 21, 2024 By Yellowfin Team In Yellowfin
2025 is poised to be another year of significant advancements in business intelligence (BI) and analytics. Building on the momentum of 2024, which saw a surge in self-service BI adoption, our attention turns to newer, sophisticated artificial intelligence (AI) solutions. As the data landscape evolves, it’s important to keep agile and adapt to emerging technologies to stay competitive and maximize the value of your analytics investments.
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cloudera

Elevating Productivity: Cloudera Data Engineering Brings External IDE Connectivity to Apache Spark

Nov 21, 2024 By Pamela Pan In Cloudera
As advanced analytics and AI continue to drive enterprise strategy, leaders are tasked with building flexible, resilient data pipelines that accelerate trusted insights. AI pioneer Andrew Ng recently underscored that robust data engineering is foundational to the success of data-centric AI—a strategy that prioritizes data quality over model complexity.
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keboola

Mind the Gap: Serving Up a Unified Business Data Model for QSR Success

Nov 21, 2024 By Keboola In Keboola
‍ In our previous article, The Key to Unlocking QSR Growth, we discussed the guiding principles that lay a strong foundation for success in the Quick Service Restaurant (QSR) industry. We highlighted the importance of data analytics for improved decision-making, automation, and scalable growth.
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How to Set Up Networking on Confluent Cloud

Nov 21, 2024 By Confluent In Confluent
Setting up network connections can often seem difficult or time consuming. This video provides a wayfinding introduction to help you get networking up and running for all cluster types on Confluent Cloud, showing you your networking options for each cluster type when running on AWS, Azure, or Google Cloud, respectively.
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confluent

Seamlessly Connect IoT Data Streams: Integrating Confluent Cloud with AWS IoT Core

Nov 20, 2024 By Braeden Quirante In Confluent
Raw data from IoT devices, like GPS trackers or electronic logging devices (ELDs), often lacks meaning on its own. However, if combined with information from other business systems, such as inventory management or customer relationship management (CRM), this data can now provide a richer, more complete picture for more effective decision-making. For example, combining GPS data with inventory levels can optimize logistics and delivery routes.
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