How to Modernize Data Lake Technologies with Cloud-Based Solutions

tdwi.org

Data lakes based on Hadoop technologies have proved themselves valuable in mission-critical use cases such as data warehousing, advanced analytics, multichannel marketing, complete customer views, digital supply chains, and the modernization of data management.Most Hadoop users are committed to the data lake method of managing data, but they are limited by Hadoop shortcomings in key areas such as cluster maintenance, administration cost, resource management, metadata management, and support for SQL and other relational technologies. Many view cloud-based solutions as the optimal replacement for their data lake, but they are not ready to make such a significant change. The truth is: they don't have to, as the two technologies can coexist.
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Spotlight

Birst Networked BI is a breakthrough approach to analytics that connects every part of your organization via a shared analytical fabric that every person can easily access and extend. Part 3 of the demo focuses on Birst’s self-service visual data discovery capabilities.

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Building a Data-Driven Business, Transforming Analytics Capability Through Data and AI

75% of organisations believe they are not living up to their analytics potential. Research has shown that there are 5 major factors holding organisations back from fully utilising analytics in their business, these include: It’s time to change your experience with data and analytics. Data is growing exponentially and and more organisations are starting to realise that becoming data-driven is imperative to their success. Join us for this webinar as we take you through how to transform your analytics capability through data and AI to become a truly data-driven business.
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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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Applying Big Data to Human Capital Analytics

HRResource

Big data is here. Data analysts are leveraging big data to help businesses better understand their customers, markets and operations. HR can learn and leverage some of these techniques to better understand how to attract and retain talent, engage employees, enhance managerial effectiveness and drive business performance. We will provide an overview of big data, how it is being used in the consumer world and discuss applications for the human capital world. We will also provide best practices for getting started with analytics for HR.
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Insights & Analytics: Digging into the Data to Measure and Accelerate Trust Programs

It’s no secret that trust provides a competitive advantage, with trusted companies outperforming their market peers. Boards, executives, and businesses across the globe want to find ways to build trust with consumers, employees, investors, and all stakeholders. But how do you define metrics, quantify, and measure trust?
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Spotlight

Birst Networked BI is a breakthrough approach to analytics that connects every part of your organization via a shared analytical fabric that every person can easily access and extend. Part 3 of the demo focuses on Birst’s self-service visual data discovery capabilities.

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