Category: Podcast

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.

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:

LinkedIn –   / edyachkova  

X – @ElenaRunsNYC

Substack Blog: Dramatic Analyst – https://dramaticanalyst.substack.com/

UpLimit Course: Product Analytics – https://uplimit.com/course/product-an…

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….

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 unexpected 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 turbulent 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.

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.