Systems | Development | Analytics | API | Testing

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Stitch vs. Talend vs. Xplenty: A Head-to-Head Comparison

Five differences between Stitch, Talend, and Xplenty: Organizations store data in many destinations, making that data difficult to analyze. Legacy systems, SaaS locations, in-house databases, apps, you name it — by storing data in all kinds of places, companies can complicate data analytics considerably. Storing data in a warehouse or a lake makes more sense.

Application Integration and Digital Transformation: A Close Association

In order to gain an advantage over their competitors and improve customer experience, organizations of all sizes and industries are using new technologies to undergo digital transformation. According to IT research and advisory firm Gartner, 87 percent of senior business leaders say that digital modernization of their company is a top priority. An emerging theme of many digital transformations relates to ‘application integration’ – but why do these have such a close association?

Cloudera Operational Database application development concepts

Cloudera Operational Database is now available in three different form-factors in Cloudera Data Platform (CDP). If you are new to Cloudera Operational Database, see this blog post. And, check out the documentation here. In this blog post, we’ll look at both Apache HBase and Apache Phoenix concepts relevant to developing applications for Cloudera Operational Database.

A Cost-Effective Data Warehouse Solution in CDP Public Cloud - Part1

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

Productboard: From data to insights in minutes rather than days

Productboard is a customer-driven product management system, which enables companies to leverage customer feedback and data insights to fuel innovation, and ultimately, deliver products that customers will love. For a few years, the company worked with data consulting agencies, but things weren't working out. Productboard was using Keboola, but they weren't sure how to get the most out of it.

Data Enrichment Using Cloudera Data Engineering

In this video, we'll walk through an example on how you can use Cloudera Data Engineering to pull in multiple datasets from a Hive data warehouse and go through the process of enriching the data through the use of Apache Spark. We'll then run this Spark job from within Cloudera Data Engineering so that we can follow the progress and see details about the job's execution.

Stephanie Stillman Talks About Data Sharing And The Data Marketplace | Behind the Data Cloud

Today on Behind The Data Cloud, Daniel Meyers interviews Snowflake Product Manager Stephanie Stillman and they talk about how she entered the data industry, data sharing, and the data marketplace. Behind the Data Cloud is a builder-focused video series.

Joining the Data Cloud

Join executives from Allianz Benelux and Emirates to hear why their organizations are joining the Data Cloud. The Data Cloud is transforming companies across financial services, transportation, and other industries. As leaders develop strategies to support the next 3–5 years of innovation, the Data Cloud is becoming a critical enabler for the success of their enterprises. Learn how these companies are seizing the opportunity with Snowflake, and see the broader impact Snowflake’s cloud data platform is having on their organizations.