In today’s data-driven business landscape, the ability to effectively capture and utilize real-time data is paramount. Change Data Capture (CDC) is not just a technical process; it’s a gateway to unparalleled business efficiency and intelligence. Let’s explore how Striim’s ‘Read Once, Stream Anywhere’ CDC pattern is revolutionizing how businesses handle data.
Simplifying Data Complexity
Imagine a world where data from your core systems is seamlessly captured and synchronized across multiple platforms in real-time. Striim’s CDC approach simplifies this complexity, turning a maze of data streams into a streamlined flow of actionable insights.
The Striim Advantage: Efficiency and Scale
Striim’s CDC methodology stands out for its efficiency. Unlike traditional methods that create separate read clients for each data consumer – adding stress to your systems – Striim uses a single read client. This approach significantly reduces the load on source databases and paves the way for scalable data management.
Persistent Streams: The Heart of Reliable Data Flow
At the core of Striim’s CDC strategy are Persistent Streams. These components ensure that data is not only captured accurately but also managed effectively across different applications. They are the guardians of your data integrity, especially during critical recovery processes.
Business Benefits of Striim’s CDC Pattern
Reliable Data Recovery: Persistent Streams enable controlled data rewinds during recovery, ensuring business continuity without data loss or duplication.
Autonomous Application Interaction: With Striim, each application interacts with the data stream independently, enhancing data consistency and integrity across your business operations.
Scalable Data Management: Striim’s CDC pattern allows businesses to manage data flows efficiently, adapting to the ever-changing data landscapes without overwhelming your source systems.
Enhanced Decision-Making: Real-time data synchronization means your business decisions are always informed by current data, giving you a competitive edge in responsiveness and strategic planning.
Streamlining Operations with Advanced Data Routing
Striim’s Router component is another jewel in the CDC crown. It efficiently directs data flows, ensuring that each piece of data reaches its intended destination without unnecessary complexity. This means more time focusing on core business operations and less on managing data pathways.
Conclusion: A New Era of Data Integration
Striim’s ‘Read Once, Stream Anywhere’ CDC pattern is not just about moving data – it’s about transforming how businesses approach real-time data integration and analytics. Striim is leading businesses into a new era of efficiency and intelligence by simplifying data complexity, ensuring reliability, and enhancing scalability.
Embrace Striim’s innovative approach to CDC and unlock the true potential of your business data. It’s not just an upgrade to your data processes; it’s a strategic move towards a smarter, more agile business model. Read our full technical deep-dive here and start your free 14-day trial of Striim.
Ever wonder how a chicken shop got your order just right? Today, we’re discussing the transformative power of edge computing in fast food, with insights from Brian Chambers, chief architect at Chick-fil-A, and KC Rakam, head of customer engineering at Google Cloud. Get ready to understand how data centralization enhances customer experience and how the future of the restaurant industry can potentially be driven by IoT and automation.
Next on the menu is a deep dive into the world of AI. We discuss how this revolutionary technology is shaping the creation of AI-powered products, with a focus on three significant use cases: customer experience, marketing automation, and developer experience. We’ll uncover the crux of streamlining actions with AI, the importance of having a solid foundation of data before launching AI initiatives, and the invaluable advice for data teams contemplating AI adoption.
As we continue our conversation, we’ll delve into the broader implications of AI in shaping modern experiences and business value. From using Warren Buffett’s timeless advice in the context of economic downturns to understanding the business value of AI projects, we’re covering it all. You’ll hear real-world examples, including a tale of an AI-generated Instagram influencer, and understand the infinite possibilities of AI. Wrapping up, we’ll discuss the future of data and the challenges of data privacy with Brian and KC. So tune in, engage, and stay updated about the latest trends in data and technology! What’s New In Data is a data thought leadership series hosted by John Kutay who leads data and products at Striim.
What’s New In Data hosts industry practitioners to discuss latest trends, common patterns for real world data patterns, and analytics success stories.
Striim, Microsoft’s strategic partner in data integration, introducing its new Microsoft Fabric adapters to enable data engineering, data science, analytics and AI user groups with a modern real-time data streaming & integration to Microsoft Fabric Data warehouse & Lakehouse
Speaker: Alok Pareek, Cofounder and Executive Vice President of Engineering and Products at Striim
Ever ask yourself how to choose between Microsoft Fabric and Databricks for your enterprise data workloads on Azure? Join this discussion with cloud pricing and cost optimization expert Everett Berry from Vantage.sh as he illuminates the differences between these two powerful data lake technologies. We delve into the depths of their unique features, pricing models, and deep integration with Azure.
Our conversation ventures into the world of AI and its transformative impact on the modern data stack. Everett offers brilliant insights into how data teams are redefining their strategies to prioritize AI in their roadmaps.
About Everett:
Everett is Head of Growth at Vantage.sh. He is known for creating one of the most widely used indexes of cloud infrastructure costs at Vantage Instances.
Follow Everett Berry on X (formerly known as Twitter)
Everett’s original article on this topic: Microsoft Fabric: Should Databricks be Worried?
What’s New In Data is a data thought leadership series hosted by John Kutay who leads data and products at Striim. What’s New In Data hosts industry practitioners to discuss latest trends, common patterns for real world data patterns, and analytics success stories.
In this webinar, we will focus on the seamless execution of a zero-downtime migration from Oracle to PostgreSQL using the powerful Striim tool. In today’s dynamic IT landscape, minimizing disruption during database migrations is paramount, and our webinar aims to provide you with expert insights and practical guidance on achieving this critical objective. Join us as we delve into the intricacies of this process, leveraging Striim’s cutting-edge capabilities to ensure a smooth transition from Oracle to PostgreSQL without any downtime.
Dive deep into best practices and innovative solutions that ensure the secure transmission of enterprise data to cutting-edge generative AI platforms that run in your private enterprise environment. Learn about the challenges faced during this process and the strategies to overcome them, ensuring data integrity, privacy, and optimal AI performance. Whether you’re an AI enthusiast, data scientist, or IT professional, this webinar offers valuable insights into harnessing the true potential of generative AI in a secure and efficient manner.
We will run through an end-to-end enterprise example of providing customers with an AI-driven chat experience powered by real-time inventory data.
Striim is excited to announce Striim Cloud Mission Critical: the industry’s first unified data streaming and analytics platform designed to power mission critical Data and AI applications at massive scale with a simple, fully managed service.
In a matter of clicks, you can launch an infinitely scalable distributed data streaming pipeline with high availability, and resilience to failure, providing maximum uptime for your critical business operations.
Watch this on-demand webinar to learn how to accelerate your analytics and decision making with the highest availability on the market.
In today’s fast-paced digital landscape, businesses increasingly rely on real-time data integration solutions to gain actionable insights and make data-driven decisions. Striim, a leading real-time data integration platform, offers seamless connectivity to Google Cloud Platform (GCP) services, enabling organizations to harness the power of real-time data streaming.
Join us for an informative webinar as we showcase Striim’s cutting-edge capabilities in real-time data integration with GCP. During this live session, we will demonstrate how Striim efficiently loads data from Oracle, a popular database management system, and seamlessly replicates it to multiple GCP targets, including BigQuery, Spanner, Google Cloud Storage (GCS), and Pub/Sub.
Key highlights of the webinar include:
An overview of Striim’s real-time data integration capabilities and how it facilitates continuous, low-latency data movement.
Live demonstrations showcasing the integration with BigQuery, Spanner, GCS, and Pub/Sub, illustrating real-time data streaming in action.
A special focus on Striim’s industry-leading BigQuery Storage Write API, enabling high-performance and cost-effective data ingestion into BigQuery.
Success stories of organizations leveraging Striim for real-time data integration needs.
Best practices for implementing Striim’s industry-leading Google to BigQuery data loading.
Don’t miss this opportunity to explore the seamless integration between Striim and Google Cloud Platform, and discover how you can harness the power of real-time data streaming for your organization’s data-driven success. Join us to gain valuable insights from our team and get ready to unleash the true potential of your data in the cloud.
Presented by:
Srdan Dvanajscak Director of Solutions Consulting, Striim
What’s New in Data – a popular podcast and thought leadership series hosted by John Kutay – did a special live episode at the top of Salesforce Tower in San Francisco. Bruno Aziza from CapitalG, Ridhima Kahn from Dapper Labs, and Sanjeev Mohan of SanjMo (former VP of Data at Gartner) did a recap of 2023 Google Cloud Next’s biggest announcements, how (and why) data teams are adopting GenerativeAI, and gave examples of futuristic consumer experiences such as interacting with AI-generated social media influencers. John Kutay moderated the panel in front of a live audience.
Lisa Martin 0:06
Good morning, everyone and welcome to the cubes j one coverage of Google Cloud Next live at Moscone south in San Francisco. I’m Lisa Martin. Dustin Kirkland is my cube analyst. co host. We’re here with about 20,000 people, you can hear the din of the bus behind us. There was a tremendous amount of announcements this morning. Lot of great Google Cloud execs, customers, partners, we’re here with Striim joining us next, John Kutay, the head of product joins us, John, great to have you. Thank you so much for joining us on The Cube.
John Kutay 0:36
Thanks so much for having me. Super excited for this discussion.
Lisa Martin 0:39
Yeah, I would love to share with the audience more about Striim . What do you guys do mission vision help us understand that?
John Kutay 0:46
Striim is unified data streaming. For generative AI analytics and operations. We love helping our customers infuse real time data into their decisions into their operations. And now generative AI, which is becoming a top priority for many of the enterprise data teams that we’re working with.
Lisa Martin 1:04
It is Gen AI is probably the hottest topic on the planet, or one of you talked about real time. And I think one of the things we’ve learned in the last few years is that access to real time data is no longer nice to have for companies. It’s an imperative. It’s really, for every industry, it’s really hard to do that. But I’m curious what some of the gaps in the market were, when Striim was launched that you guys saw the thought we can solve this?
John Kutay 1:27
So the company’s CEO and CTO came from Golden Gate software, which at the time of its acquisition by Oracle was the number one database replication product in the market. But it was very pigeonholed into just copying data between databases. And there was this obvious demand in the market to not only move data in real time, but to analyze it. And now with this big wave of generative AI, it’s not about data going into some warehouse and you wait for someone to pull up a report. Now you want data automatically making decisions for you. You want your customers to talk to a smart, AI driven bot that knows everything about them, and can answer questions for them. And this all requires real time data.
Lisa Martin 2:07
Absolutely. And every company whether I always think of whether it’s the grocery store, or the gas station, or Starbucks has my data, and I expect that they not only use it responsibly and securely, but also use it to give me that real time relevant, personalized experience that I want every company has to be really I’ve heard people say data driven. And I heard someone last week say no, not data driven, Insight driven. Difference. Yeah, there’s a difference there. Talk to us about how Striim is working with enterprise data teams to really help them extract the value of data, and especially working with Gen AI,
John Kutay 2:40
Macys.com, who we presented with previously at Google Cloud, next session, you know, they power remember, they’re not in the business of doing data, right. They’re trying to sell clothes, and they had a digital first initiative with Striim , help them go from their existing investments in their on premise, you can call legacy infrastructure, and help make sure that that data is in Google Cloud within seconds. Because if they’re building new digital applications, that data has to be there. So we’re really proud to have customers like that. And then we have other examples of airlines, for example, they want to run their operations on time, they need good customer experiences, they need to make sure the aircraft’s are safe. We help American airlines do exactly that. We were presenting with them at a data and AI Summit. And with Striim, Databricks MongoDB. They were able to again, take their aircraft telemetry, action it for their operational teams that are there to maintain the aircraft, make sure that everything’s safe, everything’s ready to go. And best of all, everything’s on time.
Lisa Martin 3:45
Yeah, that’s what it’s all about, right? Being on time these days. Yeah. And
Dustin Kirkland 3:48
along those lines, talk to me a little bit about the velocity in terms of, you know, how teams integrate this, how fast how long does it take how long till we see results from integrating Striim ?
John Kutay 3:55
Absolutely, we’re really proud of being able to get our customers into production in a matter of weeks. Even when it’s complex. It’s breaking down long standing data silos within the enterprise, a lot of technical complexity. For instance, at our presentation with American Airlines at data in AI Summit, they were really proud of the fact that they went to production at global scale, within 12 weeks of Striim and it’s because Striim’s a unified data streaming platform, meaning connectors, the data movement, the modeling, the processing, streaming into your target systems, meaning whether it’s Google Cloud, infrastructure, data, bricks, snowflake, all that data has to be there with quality and uptime SLA is that are that the business can trust?
Lisa Martin 4:39
Where are your customer conversations these days? Are you talking with Chief Data Officers, CIOs, is all of the above does it I’ve mentioned it can vary depending on the organization. But every company is so data rich, but they have to be able to figure out how do we get access to this now,
John Kutay 4:53
it’s really important to be a catalyst for internal collaboration, meaning you have to work with the CIOs the Chief Data officers all the way down to the people who are in the trenches, building the pipelines and build alignment there. And that’s something that we’re also really proud of. And, you know, because at the end of the day, yeah, you’re solving technical problems, but you’re delivering on business use cases and initiatives. And that’s the most critical thing.
Lisa Martin 5:16
What are some of the key use cases that you see that maybe have more horizontal play across industries that Striim is involved in?
John Kutay 5:24
Yeah, that’s an amazing question. So right now, data teams, you know, they already had a year’s worth of initiatives on their play. And now a generative AI, all the innovation that’s happening here at Google Cloud Next, and across the various platforms, there is a very high priority mandate for data teams to adopt generative AI, and really bring their data into generative AI and then do the reverse, which is bring generative AI to where their data is today. So those are some some of the use cases that they’re looking at in terms of making sure that data is making decision on its own. Yeah.
Lisa Martin 5:59
Can you share a little bit about the partnership with Google what you guys are doing together? How you’re helping customers really unlock the value of AI and Gennai?
John Kutay 6:06
Absolutely, we’re really proud of our partnership with Google. If you’re a big query user, you go into the Add Data button Striim’s right there, you can launch it from your console stream as a Google Cloud native products, our CTO alo Pareek, presented up here at Google Cloud Next, since the beginning, when they were doing these shows, and you know, we’re really proud of helping enterprises quickly realize the value of Google Cloud by complementing their existing enterprise investments, getting that data into Google Cloud and making sure that it’s reliable and the business can build on top of that, using the the modern infrastructure that Google is providing.
Lisa Martin 6:44
Yeah, that modern infrastructure, they talked a lot about that this morning. And providers, it’s was probably like, music to their ears.
John Kutay 6:50
Yes. Frames, clearly a important piece of that for sure. How do your customers think about the return on investment, you know, the Striim, Google Cloud, all that making their investment in in you and seeing a return? Look, when I work with the data team, and I tried to work with them on their goals and OKRs and things along those lines, if their goal is to move data from A to B, that’s not good enough, we have to talk about what your actual business initiatives are and how this data project or you know tactic is going to help you there. So the example like I brought up with Macy’s, right, they can tie that to customer experiences having more fresh, reliable data is critical American Airlines, their their aircrafts, you know, moving, making sure that those are operating with the as fast as possible. aircrafts are taking off on time well maintained. And that’s really where you see the ROI is like, how is data helping your business meet their mission statements?
Lisa Martin 7:51
When you’re in customer or prospect conversations, John? And they say, why Striim? What do you say? What are those key differentiators that really shine a light on value prop?
John Kutay 8:02
Yeah, absolutely. The fact that it’s simply a unified platform, but just in a couple of clicks, we’re spinning up a lot of complex infrastructure that you don’t have to know about as an end user, making sure that it’s very reliable, it’s very fast. You know, instead of Striim vendors were you know, I mean, sorry, companies are pulling in six, seven vendors do the same thing. Now you get the whole thing in one single pane of glass, you get your connectors, you get your data processing your data delivery, monitoring data quality and freshness, so that the data stakeholders know that there’s ultimately trust in that data.
Lisa Martin 8:37
And that trust is currency these days, right? It’s absolutely has to be there. But sounds like what Striim is doing to me as you’re really, are you helping companies to like kick out six to seven other vendors so that from what I’m hearing workforce productivity cost efficiencies are why as Dustin was talking about, it seems like those are some of the big outcomes in general that organizations can achieve with Striim.
John Kutay 8:59
I always think about is very purpose driven. You know, you have a specific business problem you’re trying to solve, rather than it taking years of development and expensive investments, you can get your initiatives off the ground and into production very quickly. And you know, that’s just with the power of the platform and the way that we can partner with data teams as well to make sure that they’re tying it to their business initiatives and getting that value out of it.
Lisa Martin 9:22
Yeah, it’s all about getting trusting making sure the data is trustworthy responsible, secure and extracting that value. Last question, John, for us before we wrap here anything new exciting coming up, first thing that we should be looking for any events, any webinars, things that you want to plug?
John Kutay 9:35
Yeah, in fact, tonight, we’re doing a what’s new and data live. This is a thought leader ship session that I run, really excited to have Bruno Aziza was formerly Yeah, head of data analytics. Now he’s at capital G alphabets, capital G. And we have Sanji Mohan, who was previously at Gartner. And we have Ridhima Khan, VP of dapper Labs is going to talk about modern digital consumer experiences. So that’s Tonight at Salesforce sour, we’re going to record it. So it’ll be made available to everyone. And we’re going on score with what’s new and data and bringing all the data practitioners, data leaders to really talk about how they’re innovating with data and meeting all these business goals that they’re trying to deliver.
Lisa Martin 10:16
Awesome. Lots of stuff going on. Yeah. Best of luck tonight. Sanjeev is a is a cube analyst from time to time. We know Bruno. He’s been on the show. So lots of great folks that’s that we were talking about before we went live like tech, it’s just like two degrees of separation. John, it’s great to have you You’re now officially a CUBE alumni, I probably can get you a sticker. So appreciate you sharing with us what’s going on at Striim with Google and how you’re really enabling those data teams to maximize value and use Gen AI. Thank you so much.
John Kutay 10:41
Thank you for having me.
Lisa Martin 10:42
Our pleasure for John Kutay and Dustin Kirkland. I’m Lisa Martin, and you’re watching The Cube live day one of our three days of coverage of Google Cloud Next. Dustin and I are going to be right back with our next guest. So don’t go anywhere.
