DEVELOPMENT, DEPLOYMENT & DELIVERY

Languages and software environments for analytics development as well as analytics deployment and delivery models to help organizations achieve their goals.

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Onsite Education

Online Learning

Research & Resources

  • TDWI Checklist Report | Best Practices for Real-Time Analytics on High Data Volumes Checklist Report Cover

    In this checklist, we explore the concept of hybrid transaction/analytical processing (HTAP), an alternative architecture that enables analytics to be performed in concert with transaction processing. We will present best practices for taking advantage of this alternative architecture to enable real-time analytics. more

  • 4 Common Mistakes to Avoid When Optimizing Your Data Warehouse white paper Incorta

    Work within the data warehouse's inherent limitations—not against them. more

  • Modern Data Warehousing without the Burden of ETL white paper Incorta

    Get the benefits of data warehousing without the challenges of managing a data warehouse. more

  • Breaking through Netezza End-of-Life Yellowbrick WP

    The move by IBM to discontinue support for the Netezza product line has IBM customers facing a hard choice. more

  • A Gentle Introduction to Apache Spark Databricks White paper cover

    If you are a developer or data scientist interested in big data, learn why Spark may be the tool for you. Databricks is happy to present this e-book as a practical introduction to Spark. more

  • Which Data Integration Solution Is Best for You? white paper Gartner

    Download the 2018 Gartner Magic Quadrant for Data Integration Tools Report to find out! more

  • How to Migrate Your Data to the Cloud DataFactZ white paper cover image

    Companies, engineers, architects, developers, and users across the world are embracing data on the cloud, because of its cost-effectiveness and the performance boost it provides. Throughout the migration of data from on-premises to the cloud, one can expect challenges, surprises, but also great rewards. An organization should strategize such moves and be prepared with a list of all actionable items before attempting to migrate any data. more

  • Implementing Cloud Migration of a BI Tool DataFactZ white paper cover image

    Organizations are always looking to improve their operations with the most technologically advanced, yet most cost-effective solutions. This applies to the area of business intelligence and reporting as well. It is quickly becoming a norm for companies to migrate their data to the cloud, and we can expect a similar trend for companies to use those cloud services for their BI and reporting needs. DataFactZ had the opportunity to oversee this type of implementation for one of the Midwest’s biggest food distribution companies. more

  • Ovum Enterprise Case Study: Building Flexible and Scalable Data Platforms Cloudera white paper cover image

    To further drive the IoT insurance market and build on its market position, Octo Telematics needed to develop an IoT and telematics platform with the functionality, flexibility, and scale to support the next evolution of IoT-based insurance propositions. more

  • Move Your Big Data Into The Public Cloud Cloudera white paper cover image

    Read this report to understand the speed at which the public cloud will unseat on-premises big data technology and solutions. This report will also help accelerate your plans, explain your options, and provide a four- step method for evolving your big data road map. more

  • Looking Before You Leap Into the Cloud Cloudera white paper cover image

    Learn EMA's best practices for driving toward analytic initiatives in the cloud and the key to cloud success. more

Upside

Webinar

  • Squeeze Every Drop of Business Value from Your Data Lake

    Data catalogs contribute ease, precision, and productivity of analytics, self-service, and governance to modern data platforms. Learn how a catalog can inventory data in a data lake for self-service data exploration and data-driven operations and help users find the right data quickly. more

  • Best Practices for Managing and Monitoring Open Source Predictive Models

    Building a predictive analytics/machine-learning model is far earlier than deploying one, which can take six months or more. Learn how to overcome deployment challenges and monitor models in production, the role open source plays, and what technologies can help support deployment of these models. more

  • Open Source for Predictive Analytics and Data Science: Trends, Opportunities, and Challenges

    Learn about the pros and cons of open source for predictive analytics and data science. We’ll discuss the trends in open source analytics, commercial versus open source options for analytics, and how vendors support open source analytics. more

  • Multiplatform Data Architectures

    The content of this webinar is based on the research findings of a new Best Practices Report by TDWI’s Philip Russom called “Multiplatform Data Architectures: Addressing Complex Modern Requirements for Hybrid Data and its Business Use”. more

  • Modern Metadata Management: Boosting BI capacity with automation and machine learning

    This webinar discusses many of these functions and their business impact, including intelligent tool automation, embedded analytics, metadata scanning, and metadata management. more

  • New Practices in Data Cataloging

    This webinar will drill into the new functionality that is available through data cataloging, plus the beneficial use cases for both business and technical programs. more

  • Getting Started with Data Integration in the Cloud

    TDWI has recently completed a new Checklist Report that gets users started with data integration in the cloud. The report looks at current trends and requirements, then recommends starting points and best practices for users who need to embrace cloud data integration. more

  • How to Design a Data Lake with Business Impact in Mind

    In this webinar you will learn what organizations need from a data lake and how to accommodate data labs, sandboxes, self-service, and other data exploration approaches. You'll also learn how business requirements deeply affect data lake design patterns and system architectures, plus how most data lakes integrate tightly with data warehouses, analytics repositories, marketing campaign and channel data, and other enterprise data environments. more

  • Data Architecture for IoT Communications and Analytics

    This webinar explores some fundamental aspects of IoT data architecture that will continuously adapt to the dynamic nature of massive numbers of connected sensors and other end-point devices. We will examine IoT communication, data streaming, ingestion and analysis, and deployment of developed analytical models for automated and predictive decision making. more

  • Modernizing Data Analytics: Moving Beyond Hadoop

    In this webinar, we will explore some of the past factors that motivated the move to Hadoop for data management and analysis and then consider the relevance of those factors as we move toward the future. We will then discuss alternatives for modernized data warehousing, followed by a discussion of how to dovetail the use of Hadoop in a modernized data warehouse environment. more

  • The Automation and Optimization of Advanced Analytics based on Machine Learning

    In this TDWI webinar, you will learn about data, tool, platform, and technology requirements for machine learning and how automation can help optimize ML-driven advanced analytics. more

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    Upcoming TDWI Events

    Conferences, Leadership Summits, Seminars, and Bootcamps

    • Conference TDWI Las Vegas Conference TDWI Las Vegas Conference

      February 10-15, 2019
      Super Early Bird Ends December 21

      No matter your challenge, TDWI Las Vegas delivers the most applicable training on your top data and analytics challenges from the industry’s most respected thought leaders and practitioners. Walk away with the skills and best practices you need to advance your data and analytics initiatives now.

    • Strategy Summit TDWI Las Vegas Strategy Summit for Analytics TDWI Strategy Summit for Analytics

      February 11-12, 2019
      Super Early Bird Ends December 21

      The TDWI Las Vegas Strategy Summit for Analytics offers leaders the chance to discover new capabilities for analytics and learn how to implement advanced analytics like machine learning, AI, and data science initiatives. Attend a workshop, view case studies, and learn about new technologies from industry thought leaders at this two-day event.