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?
We believe latency and caching are crucial subjects we need to talk about. Loading times are a critical component in the user's experience for all apps and websites: new pages and screens should load in less than a second for end-users to have a smooth experience.
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.
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.
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.
Learn more about the joint AWS & Iguazio solution: https://www.iguazio.com/partners/aws/
Start working with MLRun, the open-source MLOps orchestration framework: https://github.com/mlrun/mlrun
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).
