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Analytics

Top 5 Grafana Alternatives for Analytics and Data Visualization

In the competitive analytics and data visualization landscape, Grafana has carved out a niche with its open-source flexibility and powerful data visualization features. However, Grafana faces certain limitations in terms of advanced analytics functionalities and less seamless integration with your software product compared to analytics and data visualization tools sourced from broader business intelligence (BI) ecosystems, such as.

Schema Registry Clients in Action

There are plenty of materials available out there about Schema Registry. From Confluent alone, if you head to Confluent Developer and search “Schema Registry” you will discover an ever-growing repository of over 100 results including courses, articles, tutorials, blog posts, and more, providing comprehensive resources for enthusiasts and professionals alike.

Guide to Comma Separated Values in Data Integration

Today’s business environment depends on collecting and analyzing a broad range of data. Data integration, therefore, has become critical when consolidating diverse data types. Without data integration, you’re left with siloed information that’s very difficult—if not impossible—to analyze. Comma-separated values play a fundamental role in data integration, especially when you need to join tables that share column names or want to move datasets between analytical tools.

How to Securely Connect Confluent Cloud with Services on Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP)

The rise of fully managed cloud services fundamentally changed the technology landscape and introduced benefits like increased flexibility, accelerated deployment, and reduced downtime. Confluent offers a portfolio of 80+ fully managed connectors that enables quick, easy, and reliable integration of Confluent Cloud with popular data sources and sinks, connecting your entire system in real time.

Introduction to Unified Data: What Is It and Why Is It Important

Terence Bennett - April 9, 2024 Today’s businesses rely on data to operate. Everything from collecting customer data to recording data points from business processes contributes to reaching goals. Big data doesn’t mean much, though, when you keep it separated in silos. When you unify data, you create more data analytics opportunities that lead to valuable insights.

Accelerate BigQuery: Optimize performance with data observability

Right now, 88% of companies surveyed are failing to achieve optimal price/performance for their analytics workloads. Why? Their skilled engineers spend too much time doing toilsome work and optimizing data workloads for performance and efficiency is complicated. With this in mind, Unravel is hosting a live event to help you leverage Unravel to achieve productivity and performance with BigQuery. Watch this 15 minute recording about accelerating data analytics with BigQuery with Clinton Ford, VP of Product Marketing at Unravel and Dave Berry, Principal Solutions Engineer at Unravel.