ADV Webinar: Architecting a Modern Data Platform

Download the slides here>> This webinar is sponsored by: About the Webinar Organizations require a comprehensive enterprise data cloud platform to modernize applications and utilize machine learning. This research-based session will discuss the components of modern enterprise data stacks, such as dedicated compute, storage, data integration, and streaming, and focus on total cost of ownership….

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Dashboard Tools for Data Analytics

In the world of data analytics, dashboard tools are pivotal instruments, distilling vast quantities of complex data into comprehensible, actionable insights. These tools are not mere luxuries but necessities for organizations aiming to navigate the data-rich environment of today’s digital businesses. By leveraging dashboard tools, businesses can transform raw data into a visually engaging and…

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Graph Databases: Benefits and Best Practices

Graph databases have improved significantly since the 1990s, with new developments and a better realization of best practices. Graph technology has become one of the most popular methods of performing big data research. Its focus on finding relationships and its flexibility make it ideal for a variety of research projects. An awareness of new developments…

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ADV Webinar: Choosing Your Provider for Implementing a Data Fabric

Download the slides here >> About the Webinar The principle underlying data fabric designs is the loose connection of data in platforms with the applications that require it. When one platform, like AWS, supervises data ingestion while another, like Azure, is in charge of data transformation and consumption, it’s an illustration of a data fabric…

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How to Become a Data Engineer

The work of data engineers is extremely technical. They are responsible for designing and maintaining the architecture of data systems, which incorporates concepts ranging from analytic infrastructures to data warehouses. A data engineer needs to have a solid understanding of commonly used scripting languages and is expected to support the steady evolution of improved Data Quality,…

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Fundamentals of Data Virtualization

Organizations are increasingly employing innovative technology called “data virtualization” (DV) to tackle high volumes of data from varied sources. Data virtualization is widely used in enterprise resource planning (ERP), customer relationship management (CRM), and sales force automation (SFA) systems to collect and aggregate multi-source data. From multi-sourced data acquisition to advanced analytics, this technology seems…

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AI and Machine Learning Trends in 2024

As we delve deeper into the age of artificial intelligence (AI) and machine learning (ML), it is crucial to stay ahead of the curve by identifying emerging trends that will shape our future. In 2024, several key advancements are set to revolutionize these technologies, paving the way for unprecedented possibilities. One of the top AI…

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ADV Webinar: Data Integration — Newsflash: We Still Just Move Data!

Download the slides here >> This webinar is sponsored by: About the Webinar Data integration is a broad term for data movement. While moving streaming data is increasingly important, and data virtualization and data mesh architectures somewhat lessens the need, straight data movement still comprises the vast majority of cycles for data integration. Are you…

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Webinar: Beyond the Hype – The Real Impact of AI on Business Intelligence

Download the slides here>> This webinar is sponsored by: About the Webinar Join us to learn how the user journey with BI can change for the better by integrating AI. We’ll take a look at the perspectives of both Analysts and Business Users, to understand where the practical application of AI can help in the…

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Business Intelligence and Analytics Trends in 2024

As organizations continue to generate massive amounts of data from various sources, the need for effective data analytics and business intelligence (BI) solutions has never been more pressing.  Here are some general trends for data analytics and BI:  Use of Advanced Algorithms in Data Analysis  Advancements in machine learning (ML) and artificial intelligence (AI) are…

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