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In this episode David Yaffe and Johnny Graettinger share the story behind the business and technology and how you can start using it today to build a real-time datalake without all of the headache. What is the impact of continuous data flows on dags/orchestration of transforms?
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Datalakes are notoriously complex. And Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data.
Summary A data lakehouse is intended to combine the benefits of datalakes (cost effective, scalable storage and compute) and data warehouses (user friendly SQL interface). Datalakes are notoriously complex. Visit [dataengineeringpodcast.com/data-council]([link] and use code *depod20* to register today!
Whether it’s customer transactions, IoT sensor readings, or just an endless stream of social media hot takes, you need a reliable way to get that data from point A to point B while doing something clever with it along the way. That’s where datapipeline design patterns come in. Data Mesh Pattern 8.
Summary Datalake architectures have largely been biased toward batch processing workflows due to the volume of data that they are designed for. With more real-time requirements and the increasing use of streaming data there has been a struggle to merge fast, incremental updates with large, historical analysis.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or datalake. Rudderstack]([link] RudderStack provides all your customer datapipelines in one platform.
Datalakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the datalake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.
Datapipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. We’ll answer the question, “What are datapipelines?” Table of Contents What are DataPipelines?
Every enterprise is trying to collect and analyze data to get better insights into their business. Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the datalake and leverage various applications like ETL tools, search engines, and databases for analysis.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or datalake. Rudderstack]([link] RudderStack provides all your customer datapipelines in one platform.
Building reliable datapipelines is a complex and costly undertaking with many layered requirements. In order to reduce the amount of time and effort required to build pipelines that power critical insights Manish Jethani co-founded Hevo Data. Data stacks are becoming more and more complex.
Summary One of the perennial challenges posed by datalakes is how to keep them up to date as new data is collected. In this episode Ori Rafael shares his experiences from Upsolver and building scalable stream processing for integrating and analyzing data, and what the tradeoffs are when coming from a batch oriented mindset.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and datapipelines. Datalakes are notoriously complex. Datalakes are notoriously complex.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Datalakes are notoriously complex. Datalakes in various forms have been gaining significant popularity as a unified interface to an organization's analytics. When is Fabric the wrong choice?
In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken datapipelines. Start trusting your data with Monte Carlo today! Start trusting your data with Monte Carlo today!
Summary Designing a data platform is a complex and iterative undertaking which requires accounting for many conflicting needs. Designing a platform that relies on a datalake as its central architectural tenet adds additional layers of difficulty. When is a datalake architecture the wrong choice?
In this episode Yingjun Wu explains how it is architected to power analytical workflows on continuous data flows, and the challenges of making it responsive and scalable. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Datalakes are notoriously complex.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and datapipelines. Datalakes are notoriously complex. Datalakes are notoriously complex.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and datapipelines. Datalakes are notoriously complex. Datalakes are notoriously complex.
Dagster offers a new approach to building and running data platforms and datapipelines. Datalakes are notoriously complex. Trusted by teams of all sizes, including Comcast and Doordash, Starburst is a datalake analytics platform that delivers the adaptability and flexibility a lakehouse ecosystem promises.
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 in supporting the myriad workloads that are thrown at this layer of their data platform.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and datapipelines. Datalakes are notoriously complex. Datalakes are notoriously complex.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and datapipelines. Datalakes are notoriously complex. Datalakes are notoriously complex.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and datapipelines. Datalakes are notoriously complex. Datalakes are notoriously complex.
In this episode Andrew Jefferson explains the complexities of building a robust system for data sharing, the techno-social considerations, and how the Bobsled platform that he is building aims to simplify the process. Dagster offers a new approach to building and running data platforms and datapipelines.
Summary Data lakehouse architectures are gaining popularity due to the flexibility and cost effectiveness that they offer. The link that bridges the gap between datalake and warehouse capabilities is the catalog. Datalakes are notoriously complex. What is involved in integrating Nessie into a given data stack?
It incorporates elements from several Microsoft products working together, like Power BI, Azure Synapse Analytics, Data Factory, and OneLake, into a single SaaS experience. No matter the workload, Fabric stores all data on OneLake, a single, unified datalake built on the Delta Lake model.
Dagster offers a new approach to building and running data platforms and datapipelines. Datalakes are notoriously complex. Trusted by teams of all sizes, including Comcast and Doordash, Starburst is a datalake analytics platform that delivers the adaptability and flexibility a lakehouse ecosystem promises.
He highlights the role of data teams in modern organizations and how Synq is empowering them to achieve this. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Datalakes are notoriously complex.
Datalakes are notoriously complex. Starburst Logo]([link] This episode is brought to you by Starburst - an end-to-end data lakehouse platform for data engineers who are battling to build and scale high quality datapipelines on the datalake. Datalakes are notoriously complex.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Datalakes are notoriously complex. And Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data.
Datalakes are notoriously complex. Starburst Logo]([link] This episode is brought to you by Starburst - an end-to-end data lakehouse platform for data engineers who are battling to build and scale high quality datapipelines on the datalake. Datalakes are notoriously complex.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and datapipelines. Datalakes are notoriously complex. Datalakes are notoriously complex.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or datalake. Rudderstack]([link] RudderStack provides all your customer datapipelines in one platform.
In this episode she shares the practical steps to implementing a data governance practice in your organization, and the pitfalls to avoid. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Datalakes are notoriously complex.
In this episode Tasso Argyros, CEO of ActionIQ, gives a summary of the major epochs in database technologies and how he is applying the capabilities of cloud data warehouses to the challenge of building more comprehensive experiences for end-users through a modern customer data platform (CDP).
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or datalake. Rudderstack]([link] RudderStack provides all your customer datapipelines in one platform.
If you are migrating to a modern data stack, Datafold can also help you automate data and code validation to speed up the migration. Learn more about Datafold by visiting dataengineeringpodcast.com/datafold Datalakes are notoriously complex. webapps vs. datapipelines vs. exploratory analysis, etc.)
AI data engineers are data engineers that are responsible for developing and managing datapipelines that support AI and GenAI data products. Essential Skills for AI Data Engineers Expertise in DataPipelines and ETL Processes A foundational skill for data engineers?
Datalakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the datalake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.
Modern data teams are dealing with a lot of complexity in their datapipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days or even weeks. RudderStack helps you build a customer data platform on your warehouse or datalake.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Datalakes are notoriously complex. And Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data.
Modern data teams are dealing with a lot of complexity in their datapipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days or even weeks. RudderStack helps you build a customer data platform on your warehouse or datalake.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or datalake. Rudderstack]([link] RudderStack provides all your customer datapipelines in one platform.
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