What's New In Data

Redpanda CEO Alex Gallego joins us to talk about Sovereign AI that never leaves your private environment, highly optimized stream processing, and why the future of data is real time. Discover how Alex's journey from building racing motorcycles and tattoo machines as a child led him to revolutionize stream processing and cloud infrastructure. Alex also gets deep into the internals of Redpanda's C++ implementation that ultimately gives it better performance and lower cost than Apache Kafka, while using the same Kafka-compatible API. 

We explore the challenges and groundbreaking innovations in data storage and streaming. From Kafka's distributed logs to the pioneering Redpanda, Alex shares the operational advantages of streaming over traditional batch processing. Learn about the core concepts of stream processing through real-world examples, such as fraud detection and real-time reward systems, and see how Redpanda is simplifying these complex distributed systems to make real-time data processing more accessible and efficient for engineers everywhere.

Finally, we delve into emerging trends that are reshaping the landscape of data infrastructure. Examine how lightweight, embedded databases are revolutionizing edge computing environments and the growing emphasis on data sovereignty and "Bring Your Own Cloud" solutions. Get a glimpse into the future of data ownership and AI, where local inferencing and traceability of AI models are becoming paramount. Join us for this compelling conversation that not only highlights the evolution from Kafka to Redpanda but paints a visionary picture of the future of real-time systems and data architecture.

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.

Imagine losing your most important digital keys and leaving your entire kingdom vulnerable to attacks. In this episode, we promise to equip you with the knowledge to prevent such disasters. Join us as we sit down with Brian Vallelunga, the CEO and founder of Doppler, to unravel the critical importance of secrets management in software development. Brian shares his deep expertise on what secrets are—those crucial digital keys that unlock access to sensitive data—and illustrates through a personal story the severe consequences of failing to protect them. Discover how data breaches can wreak havoc, leading to brand reputation damage, customer churn, legal battles, and even personal distress.

But it’s not all doom and gloom. Brian introduces us to Doppler, a game-changing tool that simplifies the tedious process of secrets management, making it an integral part of the modern development workflow. Learn how Doppler empowers developers to secure sensitive data efficiently, eliminating common headaches like managing environment files and manual secret updates. We also delve into practical implementation timelines, showing that effective secrets management is achievable for companies of all sizes with the right tools. Brian provides actionable advice for engineering teams on securing secrets within applications and highlights valuable resources for further learning. Tune in to safeguard your company’s digital assets and fortify your secrets management strategy.

Follow Brian on:

• doppler.com
• X (Twitter) - @vallelungabrian

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.

What's New in Data's Live Recording from the Salesforce Tower during Snowflake Summit 

Imagine a world where real-time data processing is the norm, not the exception. In this episode, we bring you a fascinating conversation with Sanjeev Mohan, former VP at Gartner, who unpacks the seismic shifts in the data processing landscape. You'll learn about the convergence of structured and unstructured data, driven by Generative AI, and why streaming is becoming the default method for data processing. Sanjeev highlights the significance of innovations like Iceberg, which create a common table format essential for decision-making across a variety of applications.

We then traverse the cutting-edge realm of real-time data streaming platforms, spotlighting technologies and companies such as Materialize and Apache Grid Gain. Sanjeev explains the essential design criteria for these platforms, including scalability, cost performance, and fault tolerance. He also discusses the pivotal role of Kafka and its implementations across major cloud providers. This episode is a treasure trove of insights into how platforms like Snowflake are being utilized beyond their traditional roles to act as streaming databases, redefining the boundaries of data management.

In our final segments, we accelerate into the future, examining the rapid advancements in streaming technology and its interplay with AI. Sanjeev reflects on how applications like Tesla and Uber are driving innovation and demonstrates the complexities of handling real-time data replication with tools like Snowpipe Streaming. We also explore the potential for real-time training of Large Language Models (LLMs) and the ever-evolving landscape of data management. Packed with expert analysis and future-forward thinking, this episode is your guide to understanding the groundbreaking technologies shaping the world of data.

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.

Can high-quality data be the key to unlocking the full potential of generative AI? Join us for an enlightening discussion with Nicola Askham, the Data Governance Coach, as she takes us on a journey from her early days at a large British bank to becoming a leading figure in data governance. Nicola sheds light on the current landscape of data governance, the unique challenges data teams face today, and the indispensable role it plays in the success of advanced technologies like generative AI. Through her expert lens, we examine how integrating AI governance and adhering to data privacy and security standards are not just important but essential for leveraging AI effectively.

In the second half of our conversation, Nicola shares actionable strategies to implement data governance in your organization. Discover how to identify real data problems and engage senior stakeholders by demonstrating data gaps. Learn about the power of collaborative workshops in creating conceptual data models and fostering a sense of ownership among business users. Nicola also guides us through the evolution from technical role-based access control to a holistic enterprise-wide data governance approach. Plus, hear her take on the exciting potential of generative AI to enhance data quality processes, making the dream of accessible and effective data governance a reality.

Follow Nicola at: 

• Data Governance Coach website
• LinkedIn: https://www.linkedin.com/in/nicolaaskham/
• The Data Governance Podcast

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.

Ever wondered how to turn data into actionable insights? Join us as we sit down with Elena Dyachkova, the head of data at Bubble, who has an impressive background leading data teams at industry giants like Peloton and Spring Health. Elena walks us through her inspiring journey from economics to product analytics, shedding light on the critical role data plays in decision-making. She shares how simple analytics methods can be just as impactful as complex models, making this a must-listen for anyone looking to improve their analytical skills.

Data accuracy and reliability are paramount, especially when working with business applications like Stripe. Elena provides a deep dive into the challenges data teams face, from API changes to schema updates, and stresses the importance of proactive monitoring and observability. We discuss how to build strong heuristics and set realistic expectations with stakeholders to ensure seamless data flows. This segment is packed with practical advice for data professionals looking to navigate the complexities of modern data environments.

Continuous learning is at the heart of effective product analytics. Elena reflects on the evolution of education in this field, pointing out the gap that once existed and how diverse courses on business metrics, growth strategy, and experimentation have filled it. We explore the significance of data collection, structure, and engineer collaboration, all essential for robust product analysis. Elena also discusses the importance of maintaining a mindset geared towards iterative testing and learning, helping you avoid the dreaded analysis paralysis. Don’t miss her references to key figures and literature that have influenced her journey.

Follow Elena on:

1. LinkedIn - https://www.linkedin.com/in/edyachkova/
2. X - @ElenaRunsNYC
3. Substack Blog - Dramatic Analyst
4. UpLimit Course - Product Analytics

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.

Unlock the secrets of AI's transformative power with latest episode live from Google Next, where UPS's story takes center stage. Joined by AI trailblazers like Bruno Aziza of CapitalG and Pinaki Mitra from UPS, we delve into how UPS is tackling package theft and reshaping package delivery. This isn't just another discussion; it's a firsthand look at how AI and data analytics converge to solve real-world challenges, improving security and efficiency in the e-commerce landscape.

Ever wonder how AI can streamline your business operations? Our panelists, including Sanjeev Mohan of Sanjmo and Alok Pareek from Striim, reveal the nuts and bolts of integrating AI into supply chain processes and the pivotal role of data lifecycle management. From enhancing address validation to offering insights for small and medium enterprises, we uncover the practical benefits of AI and the importance of a meticulous approach to data management. Get ready to be inspired by the parallels drawn between packet delivery and data event observability, and the critical steps for aligning AI with your business strategy.

We wrap up by exploring the broad implications of generative AI across industries, with case studies that will alter your perspective on AI’s potential. Whether it's summarizing legal documents or mining data for pharmaceutical insights, the versatility of AI is showcased in its full glory.

We extend our heartfelt thanks to our live audience and listeners, encouraging you to engage with the innovative ideas shared at Google Cloud Next and reminding you of the importance of robust data foundations in harnessing AI’s full potential.

Join us for a conversation that promises not just to inform but to transform the way you view the intersection of AI and business.

“UPS AI Battle Porch Pirates.” ABC News, Good Morning America. Accessed April 10th, 2024. https://abcnews.go.com/GMA/News/video/ups-ai-battle-porch-pirates-103459177.

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.

Discover the unique pathways that can lead to a thriving career in data science as Lindsay Pettingill, PhD, and Director of Data Science at Replit, joins us for a riveting conversation. Lindsay's journey—from a Fulbright scholar teaching in Germany to shaping Airbnb's hyper-growth period—is a testament to the value of curiosity and an analytical mindset. Her insights promise to guide and inspire, whether you're a seasoned professional or just starting out in the data world.

We get to the heart of what truly powers data science: curiosity and intuition. Lindsay advocates for a holistic approach to data, stressing the need for professionals to develop insights and propose business hypotheses. This fascinating discussion also covers how personal traits, such as proactivity shown through cold outreach, are becoming indispensable as technical tasks undergo automation. Lindsay's experiences underscore the evolution of the data scientist's role, from crunching numbers to being a strategic business influencer.

Finishing on a high note, our episode focuses on the delicate dance of data-driven decision-making within organizations. Lindsay reflects on her leadership experiences, particularly during the fast growth times at Airbnb, and shares her evolved perspective on leadership in product strategy. She emphasizes the need for data teams to contribute meaningfully to their organizations, beyond technical expertise, and offers insights on how to empower data professionals to make a significant business impact. Tune in to gain valuable lessons from a leader who has successfully navigated the waves of change in the data science industry.

Follow Lindsay on:
Twitter: @iam_lpettingill
Website: https://lindsaypettingill.com/ 

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.

Zach Wilson, an industry virtuoso with experience as a data engineering leader at Facebook, Netflix, and Airbnb, pulls back the curtain on his journey through the world of data in our latest episode. With tales of his ascent from the ranks of Think Big Analytics to pioneering educational practices with DataEngineer.IO, Zach's narrative is a treasure trove for aspiring tech professionals. He not only demystifies the progression from data engineering to software engineering but also shares the trials of career elevation—all served with a hearty side of SQL and backend development insights.

The conversation then shifts gears to the buzz around AI's role in data engineering. While LLMs like ChatGPT are adept at churning out SQL queries, Zach asserts that they haven't usurped the throne from human engineers just yet. Distilling the essence of stakeholder communication and conceptual data modeling, he reminds us that the human element is the linchpin in a landscape increasingly guided by algorithms. It’s an eye-opening exploration of how AI might be the trusty sidekick, but data engineers—as the heroes of their own stories—still save the day with their indispensable human touch.

Wrapping up, Zach takes us on a tour of the latest innovations shaping the data engineering domain. From analytical patterns to the significance of community within the data sphere, his enthusiasm for the field is infectious. The episode underscores the vital role of collective wisdom and personal experience in navigating the toolkits and methodologies of data engineering. So, buckle up for a ride with a mentor whose insights illuminate the path forward in the ever-evolving tech landscape.

Follow Zach Wilson for his insights and educational material on Data Engineering

Zach Wilson's Data Expert Academy - DataExpert.io

Zach Wilson on Twitter 

Zach Wilson on LinkedIn

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.

Unlock the secrets to maintaining impeccable data quality as we chat with Mona Rakibe, the trailblazing CEO and co-founder of Telmai. Mona takes us on her extraordinary journey from the trenches of engineering to the helm of a revolutionary data observability company, revealing how her partnership with Max Lukichev, a maestro in distributed computing, has crafted a platform at the forefront of technological innovation. Together, they're automating the heavy lifting of data management, integrating machine learning to scale data quality, and providing an inside look at the challenges businesses encounter in securing data reliability.

This episode is a treasure trove of expert knowledge that reshapes how we view machine learning's role in data quality and the necessity of human intuition in the process. Discover how Telmai's intuitive feedback systems and architectural decisions empower teams to ensure data integrity, and how decentralized data quality management infuses agility into their operations. Mona and Max's brainchild is not just another platform; it's a beacon guiding enterprises through the complexities of modern and legacy systems. By focusing on data quality from the source and adapting to unique business needs, Telmai is setting the gold standard for data reliability, making this conversation a must-listen for anyone who values the integrity of their data ecosystem.

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.

Unlock the potential of AI in the world of data analytics with Zenlytic's CEO, Ryan Janssen, as he takes us through a journey from collectible DataMons to the sophisticated integration of AI in business intelligence. Imagine transforming industry pros into trading cards – that's the kind of innovation we chat about, highlighting the whimsical yet calculated steps towards making data not just informative but downright engaging. Ryan recounts the evolution of Zenlytic, from its machine learning beginnings to its current status as a conversational analytics platform, opening up new avenues for how we interact with data.

Data is the new gold, but only if you know how to mine it. This episode peels back the layers of complexity surrounding data modeling and the resurgence of semantic layers, unraveling the intricate dance of accessibility, maintenance, and user experience that businesses must perform. We discuss when your organization might be ready to embrace a semantic layer and the unmistakable signs that it's time to elevate your BI tools for a self-serve experience. Ryan and I also tackle the importance of iteration and soft skills in delivering successful data projects that are not just functional but mission-critical.

As we wrap up, we cast an eye on the horizon of data analytics, where AI isn't merely a trend but a series of incremental innovations shaping the future of data products. From the significance of trust and compliance in AI adoption to the debate between building versus buying AI solutions, we cover the strategic moves companies need to consider. Listen in for a candid discussion on the dynamic roles of data teams, the transformative power of AI like Zenlytic's Zoe, and how different data structures can cater to the divergent engagement levels of users by 2025. After all, the future of data isn't just about numbers—it's about the stories they tell and the decisions they drive.

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.