Having an off-platform copy of a Salesforce data model accessible to Amazon Redshift can be a game changer for an organization striving to improve its posture for making data-driven decisions. While leaving the data in the Force.com platform, and using Data Cloud as the source remains an option, it will create challenges for best enhancing the data for critical decision-making.
Replicating off-platform Salesforce data to Amazon Redshift establishes a centralized repository that eliminates platform boundaries. This unified data environment facilitates a comprehensive analysis, allowing businesses to integrate Salesforce data with other datasets for an even better picture than in a direct-connect situation. Off-platform Salesforce data to Amazon Redshift facilitates the building of the most comprehensive data store for the most accurate analysis, which leads to the most accurate decision-making. In addition, creating this holistic view allows organizations to fine-tune, with laser precision, strategies to optimize performance based on the use cases and outcomes they’re seeking.
Finally, this integration significantly increases the scalability possibilities. Replicating this Salesforce data to Amazon Redshift ensures businesses can efficiently query and report, particularly when interacting with large datasets, on the entire scheme of the data model; not having limitations of working on a copy of the data model. This allows organizations near real-time insights for improved trend analysis and decision-making in an environment that requires dynamic decision-making.
Looking into the future, the replication of off-platform Salesforce data to Amazon Redshift streamlines the flow of data at replication speeds not seen otherwise. This drives advantages for new initiatives such as artificial intelligence (AI) and/or machine learning (ML). Consolidating off-platform Salesforce data to Redshift is the foundational element required if you are seeking the optimization of advanced analytics, predictive modeling, and building a culture that fosters innovation across several business functions.
Join us each Thursday for more episodes of Radical Transparency as we show you how to harness Salesforce data for unparalleled growth and innovation. In addition, we would love to hear from you if you are looking for a fast, easy, and highly secure way to protect your Salesforce data & metadata! Contact an SFDC data expert or join us on LinkedIn, Youtube, or Twitter.
Video Transcription:
Welcome to Radical Transparency, my name is Ted Pappas. And in this video series we’ll talk about why having a Salesforce backup that is both accessible and verifiable off-platform is critical to your business.
And we’re going to follow the pillars of the Salesforce education for equal opportunity. My goal is really simple. It’s to make sure that everybody in the Salesforce community is equally educated in the art of possible for Salesforce backup off-platform.
And in today’s episode, we’re going to be talking about Redshift. But before we get to Redshift, you’ll notice this the AWS logo; I am not in my normal blue button-up shirt and my gray blazer, I just came back from AWS re:Invent conference in Las Vegas.
So the question that you may be thinking to yourself is, what was the significance behind re:Invent and CapStorm? And it’s simple. If you’ve watched the previous episodes, we’ve talked a lot about data cloud. We’ve talked a lot about direct connects like snowflakes, direct connect to Salesforce, or big queries direct connect to Salesforce, and the limitations and the data silos that it creates. So we went to AWS re:Invent, to talk about how to get data out of platform, out of the Force.com platform, in a VPC that runs behind the customer’s firewall, and into AWS, the data is now accessible and verifiable. It then replicates to Redshift for advanced analytics. So think about this. With Direct Connect from Data Cloud to Snowflake or Data Cloud to Tableau or Data Cloud anywhere, you’re only getting a view a copy of the data model, which means it’s rendered useless you can view the data as if it was in Salesforce, but you can’t do anything with the data.
When the data is out on the Force.com platform, it’s in a VPC. And it replicates to AWS’ Redshift platform. And it’s a full copy replication, you get the data model, the data, the metadata, the fields, the objects, the custom, big objects, the knowledge, the chatter, you get everything in access for Redshift. So things like joining tables is possible with off-platform data. And it’s not possible with the Direct Connect. Transforming schemas, Salesforce schemas into other applications is only possible with a Salesforce backup, off-platform replicated to Redshift. So the limitations of the transformation limitations of the Salesforce API’s are completely eliminated with a backup off-platform and then replicated to Redshift for advanced analytics.
So I’ll close with this. Just think about this, you have two options. You can go to your local arcade, and you can sit in a Formula One machine, a Formula One-like racecar, and you can drive the Formula One racecar in the arcade that is a Direct Connect from Data Cloud to any analytics or reporting engine.
Option number two is to actually go to Indianapolis, Indiana, to go to the Indianapolis 500. To borrow Lewis Hamilton’s racecar, the number two or number three Formula One driver in the world, and drive the Formula One race car around the racetrack. That’s what you get. That’s the power of the analytics engine for an off-platform backup. replicated to AWS’ Redshift product that you get.
So, my name is Ted Pappas. I’m the CEO of CapStorm. Thank you for watching. Hopefully, you’ll come back next Thursday for the next episode of Radical Transparency. Thank you very much.
