Рассказы о сложностях практического Data Engineer-инга, основанные на опыте автора при создании системы аналитики для IOT/WebScraping данных на azure.
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Подкаст о Data Engineer-ах. Рассказы о сложностях практического Data Engineer-инга, основанные на опыте автора при создании системы аналитики для IOT/WebScraping данных на azure. Упоминаются: azure data explorer, azure data fabric, azure data lake storage, azure data lake analytics и многое другое.
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This show goes behind the scenes for the tools, techniques, and difficulties associated with the discipline of data engineering. Databases, workflows, automation, and data manipulation are just some of the topics that you will find here.
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The Data Engineering Show is a podcast for data engineering and BI practitioners to go beyond theory. Learn from the biggest influencers in tech about their practical day-to-day data challenges and solutions in a casual and fun setting. SEASON 1 DATA BROS Eldad and Boaz Farkash shared the same stuffed toys growing up as well as a big passion for data. After founding Sisense and building it to become a high-growth analytics unicorn, they moved on to their next venture, Firebolt, a leading hig ...
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Welcome to The Data Flowcast: Mastering Airflow for Data Engineering & AI — the podcast where we keep you up to date with insights and ideas propelling the Airflow community forward. Join us each week, as we explore the current state, future and potential of Airflow with leading thinkers in the community, and discover how best to leverage this workflow management system to meet the ever-evolving needs of data engineering and AI ecosystems. Podcast Webpage: https://www.astronomer.io/podcast/
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Databases and data engineering episodes of Software Engineering Daily
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Discussions around Data Engineering
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Unlocking the Power of Data: A Guide for Leaders and Executives" As a leader or executive, you know the importance of data in driving business decisions and staying ahead of the competition. But, with the increasing amount of data generated daily, it can be overwhelming to know where to start and how to utilize this valuable asset effectively. This blog, with multiple topics, addresses the technical terminology in data engineering and analytics on the cloud.
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Streaming Data Into The Lakehouse With Iceberg And Trino At Going
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In this episode, I had the pleasure of speaking with Ken Pickering, VP of Engineering at Going, about the intricacies of streaming data into a Trino and Iceberg lakehouse. Ken shared his journey from product engineering to becoming deeply involved in data-centric roles, highlighting his experiences in ecommerce and InsurTech. At Going, Ken leads th…
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How Uber Manages 1 Million Daily Tasks Using Airflow, with Shobhit Shah and Sumit Maheshwari
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When data orchestration reaches Uber’s scale, innovation becomes a necessity, not a luxury. In this episode, we discuss the innovations behind Uber’s unique Airflow setup. With our guests Shobhit Shah and Sumit Maheshwari, both Staff Software Engineers at Uber, we explore how their team manages one of the largest data workflow systems in the world.…
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An Opinionated Look At End-to-end Code Only Analytical Workflows With Bruin
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Summary The challenges of integrating all of the tools in the modern data stack has led to a new generation of tools that focus on a fully integrated workflow. At the same time, there have been many approaches to how much of the workflow is driven by code vs. not. Burak Karakan is of the opinion that a fully integrated workflow that is driven entir…
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Building Resilient Data Systems for Modern Enterprises at Astrafy with Andrea Bombino
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Efficient data orchestration is the backbone of modern analytics and AI-driven workflows. Without the right tools, even the best data can fall short of its potential. In this episode, Andrea Bombino, Co-Founder and Head of Analytics Engineering at Astrafy, shares insights into his team’s approach to optimizing data transformation and orchestration …
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Feldera: Bridging Batch and Streaming with Incremental Computation
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Summary In this episode of the Data Engineering Podcast, the creators of Feldera talk about their incremental compute engine designed for continuous computation of data, machine learning, and AI workloads. The discussion covers the concept of incremental computation, the origins of Feldera, and its unique ability to handle both streaming and batch …
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Data Rewind: Conversation Highlights from Zach Wilson, Matthew Housley, Joe Reis, and Krishnan Viswanathan
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In this special roundup episode of The Data Engineering Show, the Bros revisits some of the best bits from episodes with data thought leaders Zach Wilson, Matthew Housley, Joe Reis, and Krishnan Viswanathan, spotlighting essential trends and lessons learned across the evolving data engineering landscape. From data observability to bridging academia…
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Inside Airflow 3: Redefining Data Engineering with Vikram Koka
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Data orchestration is evolving faster than ever and Apache Airflow 3 is set to revolutionize how enterprises handle complex workflows. In this episode, we dive into the exciting advancements with Vikram Koka, Chief Strategy Officer at Astronomer and PMC Member at The Apache Software Foundation. Vikram shares his insights on the evolution of Airflow…
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Accelerate Migration Of Your Data Warehouse with Datafold's AI Powered Migration Agent
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Summary Gleb Mezhanskiy, CEO and co-founder of DataFold, joins Tobias Macey to discuss the challenges and innovations in data migrations. Gleb shares his experiences building and scaling data platforms at companies like Autodesk and Lyft, and how these experiences inspired the creation of DataFold to address data quality issues across teams. He out…
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Building a Data-Driven HR Platform at 15Five with Guy Dassa
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Data and AI are revolutionizing HR, empowering leaders to measure performance and drive strategic decisions like never before. In this episode, we explore the transformation of HR technology with Guy Dassa, Chief Technology Officer at 15Five, as he shares insights into their evolving data platform. Guy discusses how 15Five equips HR leaders with to…
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Bring Vector Search And Storage To The Data Lake With Lance
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Summary The rapid growth of generative AI applications has prompted a surge of investment in vector databases. While there are numerous engines available now, Lance is designed to integrate with data lake and lakehouse architectures. In this episode Weston Pace explains the inner workings of the Lance format for table definitions and file storage, …
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The Role of Python in Shaping the Future of Data Platforms with DLT
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Summary In this episode of the Data Engineering Podcast, Adrian Broderieux and Marcin Rudolph, co-founders of DLT Hub, delve into the principles guiding DLT's development, emphasizing its role as a library rather than a platform, and its integration with lakehouse architectures and AI application frameworks. The episode explores the impact of the P…
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Build Your Data Transformations Faster And Safer With SDF
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Summary In this episode of the Data Engineering Podcast Lukas Schulte, co-founder and CEO of SDF, explores the development and capabilities of this fast and expressive SQL transformation tool. From its origins as a solution for addressing data privacy, governance, and quality concerns in modern data management, to its unique features like static an…
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The Intersection of AI and Data Management at Dosu with Devin Stein
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Unlocking engineering productivity goes beyond coding — it’s about managing knowledge efficiently. In this episode, we explore the innovative ways in which Dosu leverages Airflow for data orchestration and supports the Airflow project. Devin Stein, Founder of Dosu, shares his insights on how engineering teams can focus on value-added work by automa…
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The Resurgence of SQL: Insights from Ryanne Dolan from LinkedIn
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In this episode of The Data Engineering Show, the bros, Eldad and Benjamin are joined by Ryanne Dolan from LinkedIn to discuss the innovative Hoptimator (H2) project. This conversation reveals how LinkedIn has improved its data pipelines by automating the setup and management of complex workflows. Together they cover: Automated Data Pipelines: Ryan…
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Scaling Airbyte: Challenges and Milestones on the Road to 1.0
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Summary Airbyte is one of the most prominent platforms for data movement. Over the past 4 years they have invested heavily in solutions for scaling the self-hosted and cloud operations, as well as the quality and stability of their connectors. As a result of that hard work, they have declared their commitment to the future of the platform with a 1.…
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AI-Powered Vehicle Automation at Ford Motor Company with Serjesh Sharma
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Harnessing data at scale is the key to driving innovation in autonomous vehicle technology. In this episode, we uncover how advanced orchestration tools are transforming machine learning operations in the automotive industry. Serjesh Sharma, Supervisor ADAS Machine Learning Operations (MLOps) at Ford Motor Company, joins us to discuss the challenge…
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From Task Failures to Operational Excellence at GumGum with Brendan Frick
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Data failures are inevitable but how you manage them can define the success of your operations. In this episode, we dive deep into the challenges of data engineering and AI with Brendan Frick, Senior Engineering Manager, Data at GumGum. Brendan shares his unique approach to managing task failures and DAG issues in a high-stakes ad-tech environment.…
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Enhancing Data Accessibility and Governance with Gravitino
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Summary As data architectures become more elaborate and the number of applications of data increases, it becomes increasingly challenging to locate and access the underlying data. Gravitino was created to provide a single interface to locate and query your data. In this episode Junping Du explains how Gravitino works, the capabilities that it unloc…
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From Sensors to Datasets: Enhancing Airflow at Astronomer with Maggie Stark and Marion Azoulai
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A 13% reduction in failure rates — this is how two data scientists at Astronomer revolutionized their data pipelines using Apache Airflow.In this episode, we enter the world of data orchestration and AI with Maggie Stark and Marion Azoulai, both Senior Data Scientists at Astronomer. Maggie and Marion discuss how their team re-architected their use …
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Mastering Data Orchestration with Airflow at M Science with Ben Tallman
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Mastering the flow of data is essential for driving innovation and efficiency in today’s competitive landscape. In this episode, we explore the evolution of data orchestration and the pivotal role of Apache Airflow in modern data workflows.Ben Tallman, Chief Technology Officer at M Science, joins us and shares his extensive experience with Airflow,…
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Welcome to The Data Flowcast: Mastering Airflow for Data Engineering & AI — the podcast where we keep you up to date with insights and ideas propelling the Airflow community forward.Join us each week, as we explore the current state, future and potential of Airflow with leading thinkers in the community, and discover how best to leverage this workf…
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Enhancing Business Metrics With Airflow at Artlist with Hannan Kravitz
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Data orchestration is revolutionizing the way companies manage and process data. In this episode, we explore the critical role of data orchestration in modern data workflows and how Apache Airflow is used to enhance data processing and AI model deployment.Hannan Kravitz, Data Engineering Team Leader at Artlist, joins us to share his insights on lev…
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Cutting-Edge Data Engineering at Teya with Alexandre Magno Lima Martins
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Data engineering is constantly evolving and staying ahead means mastering tools like Apache Airflow. In this episode, we explore the world of data engineering with Alexandre Magno Lima Martins, Senior Data Engineer at Teya. Alexandre talks about optimizing data workflows and the smart solutions they've created at Teya to make data processing easier…
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The Evolution of DataOps: Insights from DataKitchen's CEO
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Summary In this episode of the Data Engineering Podcast, host Tobias Macey welcomes back Chris Berg, CEO of DataKitchen, to discuss his ongoing mission to simplify the lives of data engineers. Chris explains the challenges faced by data engineers, such as constant system failures, the need for rapid changes, and high customer demands. Chris delves …
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Achieving Data Reliability: The Role of Data Contracts in Modern Data Management
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Summary Data contracts are both an enforcement mechanism for data quality, and a promise to downstream consumers. In this episode Tom Baeyens returns to discuss the purpose and scope of data contracts, emphasizing their importance in achieving reliable analytical data and preventing issues before they arise. He explains how data contracts can be us…
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Airflow Strategies for Business Efficiency at Campbell with Larry Komenda
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Managing data workflows well can change the game for any company. In this episode, we talk about how Airflow makes this possible. Larry Komenda, Chief Technology Officer at Campbell, shares how Airflow supports their operations and improves efficiency.Larry discusses his role at Campbell, their switch to Airflow, and its impact. We look at their st…
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How Generative AI Is Impacting Data Engineering Teams
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Summary Generative AI has rapidly gained adoption for numerous use cases. To support those applications, organizational data platforms need to add new features and data teams have increased responsibility. In this episode Lior Gavish, co-founder of Monte Carlo, discusses the various ways that data teams are evolving to support AI powered features a…
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How Laurel Uses Airflow To Enhance Machine Learning Pipelines with Vincent La and Jim Howard
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The world of timekeeping for knowledge workers is transforming through the use of AI and machine learning. Understanding how to leverage these technologies is crucial for improving efficiency and productivity.In this episode, we’re joined by Vincent La, Principal Data Scientist at Laurel, and Jim Howard, Principal Machine Learning Engineer at Laure…
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The Role of Product Managers in Data-Centric Organizations
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Summary In this episode Praveen Gujar, Director of Product at LinkedIn, talks about the intricacies of product management for data and analytical platforms. Praveen shares his journey from Amazon to Twitter and now LinkedIn, highlighting his extensive experience in building data products and platforms, digital advertising, AI, and cloud services. H…
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Neon: A Serverless And Developer Friendly Postgres
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Summary Postgres is one of the most widely respected and liked database engines ever. To make it even easier to use for developers to use, Nikita Shamgunov decided to makee it serverless, so that it can scale from zero to infinity. In this episode he explains the engineering involved to make that possible, as well as the numerous details that he an…
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Databases underpin almost every user experience on the web, but scaling a database is one of the most fundamental infrastructure challenges in software development. PlanetScale offers a MySQL platform that is managed and highly scaleable. Sam Lambert is the CEO of PlanetScale and he joins the show to talk about why he started the platform, scaling …
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Improve Data Quality Through Engineering Rigor And Business Engagement With Synq
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Summary This episode features an insightful conversation with Petr Janda, the CEO and founder of Synq. Petr shares his journey from being an engineer to founding Synq, emphasizing the importance of treating data systems with the same rigor as engineering systems. He discusses the challenges and solutions in data reliability, including the need for …
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How Vibrant Planet's Self-Healing Pipelines Revolutionize Data Processing
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Discover the cutting-edge methods Vibrant Planet uses to revolutionize geospatial data processing and resource management.In this episode, we delve into the intricacies of scaling geospatial data processing and resource allocation with experts from Vibrant Planet. Joining us are Cyrus Dukart, Engineering Lead, and David Sacerdote, Staff Software En…
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Stitching Together Enterprise Analytics With Microsoft Fabric
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Summary Data lakehouse architectures have been gaining significant adoption. To accelerate adoption in the enterprise Microsoft has created the Fabric platform, based on their OneLake architecture. In this episode Dipti Borkar shares her experiences working on the product team at Fabric and explains the various use cases for the Fabric service. Ann…
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Being Data Driven At Stripe With Trino And Iceberg
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Summary Stripe is a company that relies on data to power their products and business. To support that functionality they have invested in Trino and Iceberg for their analytical workloads. In this episode Kevin Liu shares some of the interesting features that they have built by combining those technologies, as well as the challenges that they face i…
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