Journey to the Cloud, Self-Service BI, and Data Lakes with Data Virtualization

denodo

Denodo DataFest, the premier agile data management and analytics conference, returned once again to New York and London in 2018. Our annual user conference brings together industry analysts, subject matter experts, business leaders, data management leaders to discuss data strategies to enable a successful journey to the cloud, self-service BI, and data lakes with data virtualization. The event invited attendees to watch demos, hear customer success stories, and educate themselves on the best practice implementations of data virtualization.
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Spotlight

Artificial intelligence and machine learning are entering the mainstream, from consumer devices to enterprise initiatives. The change is coming fast, according to experts in the field. AllAnalytics reached out to several thought leaders in the areas of AI, machine learning, and advanced analytics to get their takes on four key questions. Their answers will help prepare you and your organization for the coming wave of AI and machine learning.

OTHER ON-DEMAND WEBINARS

Top 10 Data and Analytics Trends That Will Change Your Business

Gartner

• The top ten strategic data and analytics technology trends and what they enable. How these trends enable you to build an intelligent and emergent data and analytics portfolio of capabilities that scale to the needs of digital business. Why these trends are growing and having an impact now. How these trends will change your organization, data and analytics program and skills needed. Strategic technology trends have significant disruptive potential over the next 5 years. You must examine your business impacts of these trends and appropriately adjust investments, business models and operations or else your company is at risk of losing competitive advantage to those who do. Data and analytics leaders cannot afford to ignore these 2019 top data and analytics trends.
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Modernize your Data Warehouse with Amazon Redshift

Learn how a modern data warehouse increases data accessibility and provides seamless data analytics for Petabyte scale data.
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DEMYSTIFYING DATA SCIENCE

analytics8.com

Most companies know that data science and machine learning can have a profound impact on their business, but they often struggle on where to start and how to augment their existing analytics solutions with advanced analytics. Check out this webinar to learn more about data science and machine learning it is not as hard as you may think to get started; and once you do, you will see immediate business value.
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Using DataOps for Data Pipeline Engineering Quality

tdwi.org

Data pipelines facilitate information flows and data exchange for a growing number of operational scenarios, including data extraction, transformation, and loading ETL into data warehouses and data marts, data migrations, production of BI reports, and application interoperability. When data engineers develop data pipelines, they may devise a collection of tests to guide the development process, but ongoing tests are not often put in place once those pipelines are put into production.
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Spotlight

Artificial intelligence and machine learning are entering the mainstream, from consumer devices to enterprise initiatives. The change is coming fast, according to experts in the field. AllAnalytics reached out to several thought leaders in the areas of AI, machine learning, and advanced analytics to get their takes on four key questions. Their answers will help prepare you and your organization for the coming wave of AI and machine learning.

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