Unifying storage for your data analytics workloads doesn‘t have to be hard. See how Google Cloud Storage brings your data closer to compute and meets your applications where they are, all while achieving exabyte scale, strong consistency, and lower costs. You'll get new product announcements and see enterprise customers present real-world solutions using Cloud Storage with BigQuery, Hadoop, Spark, Kafka, and more.

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Tired of the endless cycle of data platform migrations? Discover a nuanced approach that prioritizes vendor independence and future-proofs your data initiatives. Learn how seemingly well-justified migrations, driven by platform limitations and promises of the 'next big thing', often fail to deliver lasting value. We'll present strategies to minimize vendor lock-in, ensuring your data analytics strategy remains adaptable and sustainable. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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Accessing mission-critical data in a nonintrusive fashion will be critical for enabling operational analytics, and with the evolution of generative AI, enterprises are building RAG-based gen AI applications that require access to operational data. Datastream is a simple, serverless data-streaming platform that organizes the ingesting, processing, and analyzing operational data to support AI/ML and RAG apps. Experts from RocketMoney and Intuit Mailchimp will share how they’re using Datastream to solve for Operational Analytics and beyond.

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This session is for AI/ML and data practitioners who want to build AI/ML data pipelines at scale and select the right combination of block, file, and object storage solution for your use case. Learn how to optimize all your AI/ML workloads like data preparation, training, tuning, inference, and serving with the best storage solution and easily integrate them into your Compute Engine, Google Kubernetes Engine, or Vertex workflows. We’ll also dive into how to optimize analytics workloads with Cloud Storage and Anywhere Cache.

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This panel discussion will explore how professional associations and certifications can enhance the careers of analytics professionals. This session will shed light on how association memberships and certifications open doors to networking opportunities, continuous learning, career advancement, and industry recognition. Attendees will gain new insights about how active participation in professional communities and earning certifications can influence their career trajectory, marketability, and professional growth in the ever-evolving domain of analytics. This discussion is a must-attend for anyone looking to elevate their analytics career.

Explore how BigQuery and BigLake power innovative data analytics solutions and walk through implementing data products powered by AI/ML for real-world applications. Learn from Google Cloud about the latest advancements in both technologies, with an emphasis on:

• BigLake's integration with Apache Iceberg for efficient AI/ML • How BigQuery serves as a foundational element in successful data mesh architectures

You will also hear from two leading customers, Trendyol and Snap, on their real-world journeys, demonstrating the transformative impact of these technologies on their analytics and AI initiatives at scale.

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Google Cloud is building the next generation of Observability solutions using Gemini and BigQuery. In this session, we’ll show you how we can remove fragmentation for your logs, metrics, traces, events, billing data sources using Google BigQuery on Google Cloud Operations Suite to perform Observability analytics. Targeted audience includes Developers, DevOps Engineers, SRE, and Cloud Architects.

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Join this session to learn how Gemini in BigQuery can help you accelerate time to insights by enhancing productivity, and optimizing the cost and performance of data workloads.

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This isn't your typical tech talk—it's a story of the journey into how big players like LinkedIn, Uber Eats, and Stripe are mastering the art of real-time data. Viktor is here to demystify Apache Pinot's superpowers, showing you how it instantly transforms mountains of data into actionable insights. Business decision-makers have long had access to dashboards and reports, but now analytics can be made available to users as features of stickier, more engaging applications. With stories, insights, and a touch of humor, Viktor will unpack the cool features of Apache Pinot, including the Star-Tree Index, and show you why it’s a game-changer in data strategy. This session is for everyone, whether you're a data geek, a business guru, or just curious about the future of tech. Viktor's dynamic style will keep you on the edge of your seat, eager to implement these insights. So, buckle up and get ready to be wowed by the power of real-time analytics with Apache Pinot – it will be a blast!

Attend this session for an overview of our storage solutions and how they are optimized for a variety of workloads. We’ll share storage best practices for AI, Google Kubernetes Engine, and VMs, and customer storage and infrastructure cost optimization. You’ll gain insight into new features that deliver more performant and available apps to your business. We’ll also share our storage vision providing you the ability to plan for future application workloads.

-Industry’s first unified cloud storage optimized for AI and analytics workloads; -Intelligent storage powered by AI; -Built for mission-critical, high-availability data protection; -Migrating to cloud storage and Google Cloud at scale at low cost

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Have you ever wondered how a data company does data? In this session, Isaac Obezo, Staff Data Engineer at Starburst, will take you for a peek behind the curtain into Starburst’s own data architecture built to support batch processing of telemetry data within Galaxy data pipelines. Isaac will walk you through our architecture utilizing tools like git, dbt, and Starburst Galaxy to create a CI/CD process allowing our data engineering team to iterate quickly to deploy new models, develop and land data, and create and improve existing models in the data lake. Isaac will also discuss Starburst’s mentality toward data quality, the use of data products, and the process toward delivering quality analytics.

Customer Lifetime Value (CLV) is the cornerstone of any recurring-revenue or service business. It's one of the most important metric in contemporary business analytics, showing the long-term profitability and sustainability of customer relationships.

In this session, Ranjeeta Bha will explore the significance of CLV, how it's calculated, and the many factors that influence it such as customer acquisition costs, retention strategies, and revenue forecasting. We'll explore what makes customers quit—and how to predict it. Attendees will understand how to gain a comprehensive understanding of their customer base, as well as how emerging statistical and AI approaches can be used to estimate CLV.

Join the team from Moody's Analytics as they take you on a personal journey of optimizing their data pipelines for data quality and governance. Like many data practitioners, Ryan understands the frustration and anxiety that comes with accidentally introducing bad code into production pipelines—he's spent countless hours putting out fires caused by these unexpected changes. In this session, Ryan will recount his experiences with a previous data stack that lacked standardized testing methods and visibility into the impact of code changes on production data. He'll also share how their new data stack is safeguarded by Datafold's data diffing and continuous integration (CI) capabilities, which enables his team to work with greater confidence, peace of mind, and speed.

Join our panel of experts in exploring the cutting-edge realm of Decision Intelligence and discover how it diverges from traditional Data Analytics and Business Intelligence, reshaping the landscape of strategic decision-making. Our panel explores real-world instances where Decision Intelligence catalyzed profound organizational shifts, yielding tangible results. This is a not to miss session examining the future of decision-making and how to harness balance between forecasting and human oversight for maximum efficiency! 

The ability to convey insights effectively is paramount in building bridges between analytics teams and the wider enterprise. Data storytelling transforms complex data sets into compelling narratives that resonate and shift with our audiences. We will discuss the importance of identifying your audience's needs, selecting relevant data points, crafting engaging story structures, and employing visualizations. We will uncover the importance of the 'enterprise pulse' - or the triggers and feedback loop that reinforce regular communication with stakeholders. Effective and consistent data storytelling is the key to clearer communication, informed and improved decision-making, and establishing meaningful connections with stakeholders. Most importantly, we will share practical examples to arm attendees with a strategy that results in data & analytics champions throughout the enterprise. 

We're in the a Cambrian Explosion of data architectures. In the last two years, dozens of vendors have each championed their own version of ‘the modern data architecture solution’, all claiming to be the future of IT in a data-driven enterprise. The sheer volume of architectures is daunting: Streaming data platforms, data lakes, structured/semi-structured/unstructured data, cloud data warehouses supporting external tables and federated query processing, lakehouses, data fabric, and layers of federated query platforms that offer virtual views of data. All claim to support the building of data products.

No surprise that customers are confused as to which option to choose. 

However, key changes have emerged including much broader support for open table formats such as Apache Iceberg, Apache Hudi and Delta Lake in many other vendor data platforms. In addition, we have seen significant new milestones in extending the ISO SQL Standard to support new kinds of analytics in general purpose SQL. Also, AI has also advanced to work across any type of data. 

What does this all mean for data management? What is the impact of this on analytical data platforms and what does it mean for customers? What opportunities does this evolution open up for tools vendors whose data foundation is reliant on other vendor database management systems and data platforms? This session looks at this evolution, helping vendors and IT professionals alike realise the potential of what’s now possible and how they can exploit it for competitive advantage.

Advanced Analytics, AI, ML, Blockchains, and Platforms are improving human well-being. It is valuable when Advanced Analytics predicts market fluctuations or optimizes customer portfolios. It is convenient when AI and ML improve operational efficiency or recommend the next customer purchase. It is comforting when Blockchains transparently record and preserve incorruptible information. It is commendable when Platforms create multiplier effects for good. It is priceless when these tools work to rescue a life. Could businesses somehow eradicate modern day slavery in their global supply chains with these tools? This task is daunting with thousands of suppliers behind popular products, but businesses are using analytics to find patterns, increase supply chain transparency, reduce reputational risk, and prevent lost revenue, in addition to rescuing lives. In this session, Kendra Taylor of KEYfficiencies, reviews how some businesses use analytics to end human trafficking in global supply chains and what the future might hold.

This panel of DataVengers looks at the hot topics and emerging technology trends in data, analytics, and AI. Bringing together an enthusiastic team with a diverse background, they'll share tips on putting passion into your job and building your personal brand. Come with questions—not just about where data is headed, but also about standing out from a digital crowd.

The industry has witnessed some tectonic changes over the last few years: on prem to cloud to multi-cloud, BI to AI to GenAI, and data warehouses to data lakes to data lakehouses, to name a few. This constant evolution coupled with the ever-increasing demands of the business makes platform thinking crucial in order to ensure a future-proof infrastructure. As companies race to advance their AI strategies, Dell has seen a gravitational pull towards a modern data architecture that can create high quality data to feed AI and generate high quality outcomes. Join this session to learn about how the Dell Data Lakehouse, powered by Starburst, is the modern paradigm for this new era. You’ll learn about the investments Dell is making in data, analytics, and AI, why Dell and Starburst partnered up on this solution, and how it enables a tremendously powerful yet open and flexible data architecture.

Long before Moneyball popularized the idea, stats and data were part of sports. But things have come a long way since then. Join Scott Nestler for an overview of the transformative role of analytics in modern sports. He'll explores how data-driven approaches are revolutionizing performance on the field, enabling athletes and teams to optimize their strategies, enhance physical conditioning, and achieve superior results. Beyond the field, he'll discuss the impact of analytics on the business side of sports, from talent scouting and player valuation to fan engagement and revenue generation.

By integrating real-world examples and cutting-edge research, this presentation highlights the symbiotic relationship between analytics and sports, illustrating how data is not just reshaping strategies but also redefining the very essence of excellence in the sports industry.