How to use the REST API connector in Xplenty
In this tutorial, Satwik takes us through how to use the REST API connector in Xplenty.
Analytics
How to use the Xplenty workflows feature
In this tutorial, Satwik takes us through how to use the Xplenty workflows feature.
Make your Salesforce the single source of truth with Xplenty!
Try Xplenty now to discover how you can manage Salesforce with its two-way connector.
Introducing Trends 2021 - "The great digital switch"
Many companies do them, and you will see them scattered everywhere. Our ambition around trends is different though. We want to contextualize and embed trends into a broader theme, capturing the zeitgeist. That way the strands become interwoven into a fabric, showing a structural pattern and hopefully also indicating where we are heading.
Why We Need the Data Fabric
Computer science loves abstraction, and now, as it turns out, so does data management. Abstraction means reducing something complex to something simpler that elegantly delivers its essence. Applications all over the world become more robust and easier to maintain and evolve when a simple interface is put in front of a complex service. The consumer of the service is able to say: This is a lot simpler than allowing the consumer to reach directly under the hood and mess with the engine.
The embedded analytics maturity curve - where does your software or app rank?
An exceptional embedded analytics offering is underpinned by the right strategy and framework - and this starts with a clear vision. To maximize the value of data assets, you may need to recognize and then address where your product may need to improve it’s BI maturity level. To do this, it’s time to focus on where your analytics development capability and tooling is today.
HBase Clusters Data Synchronization with HashTable/SyncTable tool
Replication (covered in this previous blog article) has been released for a while and is among the most used features of Apache HBase. Having clusters replicating data with different peers is a very common deployment, whether as a DR strategy or simply as a seamless way of replicating data between production/staging/development environments.
Migrating Big Data to the Cloud
Unravel Data helps a lot of customers move big data operations to the cloud. Chris Santiago is Global Director of Solution Engineering here at Unravel. So Unravel, and Chris, know a lot about what can make these migrations fail. Chris and intrepid Unravel Data marketer Quoc Dang recently delivered a webinar, Reasons why your Big Data Cloud Migration Fails and Ways to Overcome. You can view the webinar now, or read on to learn more about how to overcome these failures.
The Abridged Essential Guide to Data Integration - Part 1
Learn the how and what of analytics and data integration.
Why Enhanced Visibility Matters for your Databricks Environment
Databricks has become a popular computing framework for big data as organizations increase their investments of moving data applications to the cloud. With that journey comes the promise of better collaboration, processing, and scaling of applications to the Cloud. However, customers are finding unexpected costs eating into their cloud budget as monitoring/observability tools like Ganglia, Grafana, the Databricks console only telling part of the story for charge/showback reports.