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  • Kafka Expands Its Streaming Capabilities and Strengthens Analytics Functionalities

    As Apache Kafka is increasingly used to support streaming analytics use cases, they've continued to build out their platform to support authentication provider flexibility, integration, and extensive queries. Read this e-guide to learn how Kafka 3.1 opens up data streaming for analytics in a variety of ways.

  • How to Prepare Data for Meaningful, Valuable Analysis

    Very few organizations have met their analytics expectations, in part due to lagging data preparation capabilities. This expert guide contains best practices and strategies you can use to improve your data preparation abilities and start generating more value from your analytics projects. Keep reading to learn more.

  • Is a Hybrid Data Warehouse Right for You?

    Read this expert guide to consider the pros and cons of a hybrid data warehouse when it comes to your use case and explore options you have as you move forward with the right data warehousing option.

  • CDF Flow Management Data Sheet

    Enterprises today are facing key challenges around data; fortunately, Cloudera DataFlow (CDF) is a comprehensive edge-to-enterprise streaming data platform that attacks the challenges with IoT data at all scales. Check out Cloudera's data sheet to see how Cloudera attacks modern data ingestion challenges.

  • Cloudera: IoT Data Management and Analytics with an Open Source Platform

    IoT use cases have played a key role in supporting the emergence of edge computing, leading businesses to reevaluate the effectiveness of IoT market solutions. Check out the analysis report by IDC to learn how Cloudera's IoT data management and analytics solutions have been faring in the modern market.

  • Data-in-Motion Philosophy Solutions Brief

    Access this solution brief to learn more about Cloudera’s ability to address the challenges of end-to-end data streaming via a high-level platform with powerful underlying management tools and compute engines.

  • Cloudera Dataflow (CDF) Data Sheet

    Cloudera DataFlow (CDF) is an edge-to-cloud real-time streaming data platform that collects, curates, and analyzes data for immediate actionable insight. This open source-based platform helps you better secure and govern data integration, transformation, and content routing. Access this short data sheet to learn more.

  • Cloudera Data Platform Private Cloud with IBM

    Access this overview to learn how IBM partnered with the Cloudera Data Platform (CDP) Private Cloud to help businesses achieve faster time to value with containerized data services and accelerate time to insight for data analytics.

  • Cloudera DataFlow (CDF) Overview

    Watch this video to learn about 3 tenants of Cloudera DataFlow, a comprehensive edge-to-cloud real-time streaming data platform & discover how you can customize your trusted data flows and how they’re visualized in real time to equip your teams for success.

  • Big Data Evolution: 5 Major Trends

    Big data has come a long way since its conception—from theory to reality. At this point, big data is basically a staple of any successful data-driven organization. Read this e-guide for 5 major keys in big data evolution to learn where things stand currently, and how we got here.

  • The Balance of Data Management

    Data managers have to carefully balance how they carry their positions in a company. As big data demands speedier application building, they have to be the voice of reason that maintains best practices. Read this e-guide to learn how data managers should be collaborating with analysts and other roles to keep business data expectations realistic.

  • AI and big data go perfectly together -- sometimes

    In this e-guide, learn how the combination of big data and AI tools enables new forms of analytics and automation.

  • 10 Must-Have Features for Big Data Analytics Tools

    In this e-guide, discover the 10 must-have features in big data analytics tools that can help reduce the effort required by data scientists to improve business results.

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