Systems | Development | Analytics | API | Testing

Achieving a Cloud-First Strategy with APIs

As many organizations push forward in adopting cloud-first strategies, issues often arise with addressing how their suite of applications and systems can remain integrated securely and efficiently. Whilst the movement to the cloud was a huge step in technological advancement, advancements in API technology now make “hybrid cloud” models possible, and businesses exist both in the cloud and on premises.

How to Use Product Analytics for SaaS Sales Pitches

Imagine you are preparing to approach a prospective client. You have done all the market research needed to understand the edge your product or service has over your competitors. You have identified your niche for higher profitability and you have profiled the key decision-makers that will be targeted by your outreach campaign. Would you like your pitch to fall flat just because you did not dazzle the prospect?

5 Reasons to Use Heroku and ETL

ETL tools and Heroku Connect both offer bidirectional data connections to Salesforce. So it would be natural to assume that you only need one or the other for your Salesforce integration. But, in fact, each tool has its own particular strengths that make the two systems complementary. Heroku is a software development platform and cloud service provider that empowers developers who build, deploy and scale web applications.

Key considerations when making a decision on a Cloud Data Warehouse

Making a decision on a cloud data warehouse is a big deal. Beyond there being a number of choices each with very different strengths, the parameters for your decision have also changed. Modernizing your data warehousing experience with the cloud means moving from dedicated, on-premises hardware focused on traditional relational analytics on structured data to a modern platform.

Scaling Service Mesh Across Clouds

In the traditional datacenter, distributed workloads simply existed across multiple datacenters. As businesses evolve their applications in the cloud native era, this degree of distribution scales as well. Workloads landing in multiple VPCs grow in commonality, and in many cases exist between cloud environments. In this Destination: Scale session, Cody De Arkland - Principal Technical Marketing Engineer, Service Mesh, Office of the CTO - shows how Kuma provides a method to connect these applications through its advanced multi-zone capabilities, and how this model enables global scale.

ThoughtSpot Analytics Cloud

Get consumer-grade analytics for your modern data stack. ThoughtSpot empowers everyone to create, consume, and operationalize data-driven insights. Our consumer-grade search and AI technology delivers true self-service analytics that anyone can use, while our developer-friendly platform ThoughtSpot Everywhere makes it easy to build interactive data apps that integrate with your existing cloud ecosystem.

Automating CDP Private Cloud Installations with Ansible

The introduction of CDP Public Cloud has dramatically reduced the time in which you can be up and running with Cloudera’s latest technologies, be it with containerised Data Warehouse, Machine Learning, Operational Database or Data Engineering experiences or the multi-purpose VM-based Data Hub style of deployment.

Quantifying the value of multi-cloud deployment strategies with CDP Public Cloud

In this article, I will be focusing on the contribution that a multi-cloud strategy has towards these value drivers, and address a question that I regularly get from clients: Is there a quantifiable benefit to a multi-cloud deployment? That question is typically being asked when I explain the ability to leverage container technology that offers a consistent deployment environment across multiple clouds and form factors (public, private, or hybrid cloud).