Systems | Development | Analytics | API | Testing

Data Pipelines

Introducing CDE: Purpose Built Tooling For Accelerating Data Pipelines Demo Highlight

Spark has become the de-facto processing framework for ETL and ELT workflows for good reason, but for many enterprises working with Spark has been challenging and resource-intensive. Leveraging Kubernetes to fully containerize workloads, DE provides a built-in administration layer that enables one-click provisioning of autoscaling resources with guardrails, as well as a comprehensive job management interface for streamlining pipeline delivery. DE enables a single pane of glass for managing all aspects of your data pipelines.

Emery Sapp & Sons Builds Civil Infrastructure, Not Data Pipelines

Growing heavy civil construction business brings on a modern data stack of Fivetran, BigQuery and Looker to gain a competitive edge. Want to hear more from Emery Sapp & Son's Clayton Hicklin? Join him and a number of other incredible data professionals at the 2020 Modern Data Stack Conference October 21-22. Register here.

Introducing CDP Data Engineering: Purpose Built Tooling For Accelerating Data Pipelines

For enterprise organizations, managing and operationalizing increasingly complex data across the business has presented a significant challenge for staying competitive in analytic and data science driven markets.

Automating data pipelines with BigQuery and Fivetran

Companies from every industry vertical, including finance, retail, logistics, and others, all share a common horizontal analytics challenge: How do they best understand the market for their products? Solving this problem requires companies to conduct a detailed marketing, sales, and finance analysis to understand their place within the larger market. These analyses are designed to unlock insights in a company's data that can help businesses run more efficiently.

To Manage All Your Data Pipelines, Let's Follow The Lumada Dataflow Studio Roadmap

You’re building data pipelines to help your business users innovate with data. But with the shift to self-service, the data management practices need to evolve. And in addition to building your own pipelines, you’ll also need to manage hundreds or even thousands of users’ pipelines. What now? - See for yourself Hitachi’s vision for Pentaho Data Integration and Lumada Dataflow Studio. You’ll learn how Lumada Dataflow Studio helps you address today’s and tomorrow’s challenges in data preparation, orchestration and monitoring.