Systems | Development | Analytics | API | Testing

Data Migration with Microsoft SQL Server ETL Tools

Data integration and migration can be quite overwhelming and complex. It's easy to underestimate the complexities of managing data between different sources and destinations. However, diving into it without thorough planning and the right ETL (Extract, Transform, Load) setup could impact your business goals and deadlines, or even exceed your budget.

Flink in Practice: Stream Processing Use Cases for Kafka Users

In Part One of our “Inside Flink” blog series, we explored the critical role of stream processing and why developers are increasingly choosing Apache Flink® over other frameworks. In this second installment, we'll showcase how innovative teams across every industry and size are putting stream processing into practice – from streaming data pipelines to train ML models or more timely analytics to fraud detection in finance and real-time inventory management in retail.

Integrate.io Attains Google Cloud Ready - Cloud SQL Designation, Ensuring Reliable Data Integration

Integrate.io, a leading no-code data integration platform, is proud to announce its achievement of the prestigious Google Cloud Ready - Cloud SQL designation. This recognition underscores Integrate.io's unwavering commitment to delivering a robust and secure data integration platform for Google Cloud SQL customers. Google Cloud Ready - Cloud SQL is a highly regarded program designed to assist customers in identifying and utilizing validated partner integrations with Google Cloud SQL.

[Webinar Recording] ClearML + Apache DolphinScheduler: A New Approach to MLOps Workflows

We are excited to present ClearML + Apache DolphinScheduler: two powerful tools for implementing an end-to-end MLOps practice. ClearML is a unified, end-to-end platform for continuous ML, providing a complete solution from data management and model training to model deployment, and Apache DolphinScheduler is an easy-to-use, feature-rich distributed workflow scheduling platform that can help users easily manage and orchestrate complex machine learning workflows. When used together, machine learning practitioners achieve seamless integration of data management and process control.

What Are Data-Driven Insights & How Do You Uncover Them?

The best business decisions—those that generate results—are backed up by solid data. But raw data just won't cut it. Instead, you must generate actionable and valuable data-driven insights. These actionable insights about your customers, your industry, the economy, and beyond help your business grow. For example, they can support the decisions you make to develop new products or expand into new locations. But how do you uncover these data-driven insights?

SaaS in 60 - Introducing Public Collections in Qlik Cloud

This week we introduce the addition of public collections in Qlik Cloud. Public collections allow Tenant and Analytics admins to create collections of content from one or more spaces for their users. These collections provide a simple, yet powerful way to group content from multiple spaces into more logical buckets for Qlik Cloud users.