Enabling data maturity
Penguin Random House’s Pete Williams on riding the data maturity curve, people and data literacy and readiness to enable and exploit.
Analytics
Top 5 ELT Tools
To become a data-driven business and perform effective data management, organizations must construct high-performance data pipelines that can effectively collect, process, and analyze their enterprise information. When handling data processing and integration, companies have several choices for how to construct their data flows. Instead of writing custom data workflows from scratch, most businesses decide to use an ELT data platform that seamlessly connects the various datasets in their IT ecosystem.
Insight Advisor in Qlik Sense - Generating Automated Insights
In this second video, we cover Automated Insights and natural language interaction through Insight Advisor in Qlik Sense. These features are currently available, and we continue to innovate and expand the breadth and depth of functionality. Insight Advisor delivers automated insights including visualizations and natural language insights by leveraging our unique associative engine combined with AI and ML and the business logic in your app. We will discuss Insight Advisor Search and Chat, as well as our unique Analysis Types capability for generating advanced analytics in a few clicks. And you’ll learn about how to best craft the experience using the business logic layer in Qlik Sense.
ClearML Onboarding Walkthrough - PART 3: Model serving and Monitoring
💻 Get a server: 📄 Documentation on Fundamentals: ✨ Follow us and star us!
Seven data integration and quality scenarios for Qlik and Talend solutions
By now, you should have read the headlines that Qlik's acquisition of Talend is complete, and we're excited to expand our best-in-class capabilities to help you access, transform, trust, analyze, and take action with your data. You might have seen Mike Capone's QlikWorld keynote or the recent "What's Next is Now" webinar and wondered how to leverage these new capabilities in your organization.
The Top 10 Google BigQuery ETL Tools
As the amount of data generated by businesses continues to grow exponentially, efficient and scalable ETL (extract, transform, load) processes have become crucial for managing and analyzing this data. Google BigQuery is a fully-managed, serverless data warehouse designed for super-fast SQL queries and data analysis. However, managing ETL processes in BigQuery can be complex and time-consuming. An ETL tool can help.
Industry Impact | Intelligent manufacturing operations | Short
Welcome to the Smart Factory with intelligent operation—using analytics, machine learning, A.I. and other advanced tools in real time to anticipate failures, fix inefficiencies, and optimize maintenance. As the industry's leading hybrid data platform. Cloudera empowers modern data architectures and supports on premises, public and multi-cloud deployments, delivering multi-function analytics on data anywhere with common security, governance and metadata management powered by Cloudera SDX.
How Cloudera Supports Zero Trust for Data
By now, almost everyone across the tech landscape has heard of the Zero Trust (ZT) security model, which assumes that every device, application, or user attempting to access a network is not to be trusted (see NIST definitions below). But as models go, the idea is easier than the execution.
How to deliver successful AI products with Keboola?
If you haven’t been tuned in, AI products are the new “it girl” on the block, turning heads and transforming the way businesses operate. This seismic shift isn't merely a trend; it's the new norm. AI has massive implications for Keboola’s mission - helping companies create and ship better data projects faster. We’ve been helping build AI-powered products for years, but the recent innovations in the space have accelerated our efforts even further.
7 Best Data Integration Techniques In 2023
As the pace of data grows, modern companies struggle to get a unified view and extract insights across all their disparate sources. Heck, just accessing all the enterprise datasets can be hard and requires too many email chains with the IT department. Luckily, integrating data from different systems and external sources can be simplified with the right data integration technique.