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Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data! REGISTER Ready to get started?
Upgraded Data Governance service Artificial intelligence (AI) advancements Expanded data integration capabilities Enhanced Data Catalog functionality Together, these advancements enable your organization to better integrate, govern, and improve the readiness of your data for trusted analytics, reliable AI insights , and faster time to value.
In this episode Crux CTO Mark Etherington discusses the different costs involved in managing external data, how to think about the total return on investment for your data, and how the Crux platform is architected to reduce the toil involved in managing third party data. Tired of deploying bad data?
Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data! REGISTER Ready to get started?
Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data! REGISTER Ready to get started?
Summary With the proliferation of data sources to give a more comprehensive view of the information critical to your business it is even more important to have a canonical view of the entities that you care about. Request a demo at dataengineeringpodcast.com/metis-machine to learn more about how Metis Machine is operationalizing data science.
Solution Overview Data sharing is the capability to share datamanaged in Cloudera , specifically Iceberg tables, with external users (clients) who are outside of the Cloudera environment. In this case I’m using a role named – “UnitedAirlinesRole” that I can use to share data.
Our team of experts will be there to walk you through live demos, answer your questions, and share insights into the latest product capabilities. In addition, the Demo Theater will feature a variety of presentations to help you understand the Utility Network across telecom, electric, and water domains. Can’t make it the first time?
Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data! REGISTER Ready to get started?
Tackle Your Top DataManagement Challenges Head-On These updates to the Data Integrity Suite are built to address the challenges holding you back today, so you can move forward with greater clarity, agility, and confidence tomorrow. These features enable you to streamline datamanagement and improve usability at scale.
Sherloq Datamanagement is critical when building internal gen AI applications, but it remains a challenge for most companies: Creating a verified source of truth and keeping it up to date with the latest documentation is a highly manual, high-effort task. The judges will deliberate live before naming the 2025 Grand Prize winner.
Key Takeaways Data Fabric is a modern data architecture that facilitates seamless data access, sharing, and management across an organization. Datamanagement recommendations and data products emerge dynamically from the fabric through automation, activation, and AI/ML analysis of metadata.
Let’s take a look at a few examples of Snowflake Native Apps that utilize Snowpark Container Services: Carto: Carto, a geospatial platform, can be deployed entirely inside Snowflake to tackle problems like vehicle routing without requiring data movement. Check out the demo. Check out the demo and sign up for the waitlist.
This emphasis on simplicity and ease of use in workload management simplifies operations and minimizes complexity. Teradata Block File System (BFS) enhances data domain isolation by providing a high-performance, scalable storage solution that supports efficient datamanagement and retrieval.
In this episode he shares his thoughts on the strategic and tactical elements of moving your work as a data professional from being task-oriented to being product-oriented and the long term improvements in your productivity that it provides. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagement When you're ready to build your next pipeline, or want to test out the projects you hear about on the show, you'll need somewhere to deploy it, so check out our friends at Linode.
This is where you can add real value to the business instead of just being a data plumber. The Future: AI-Powered, Generative Data Quality Management as a Standard Practice AI is revolutionizing datamanagement; data quality testing should be no exception. Download Now Request Demo
Leading companies around the world rely on Informatica datamanagement solutions to manage and integrate data across various platforms from virtually any data source and on any cloud. Enterprise Data Integrator is fueled by Informatica Superpipe for Snowflake, which enables up to 3.5x
In our previous post, The Pros and Cons of Leading DataManagement and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a datamanagement ecosystem?
In our previous post, The Pros and Cons of Leading DataManagement and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a datamanagement ecosystem?
In our previous post, The Pros and Cons of Leading DataManagement and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a datamanagement ecosystem?
In this episode she shares the story behind the project, the details of how it is implemented, and how you can use it for your own data projects. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Who is the target audience for Zingg?
LLMs with Keras — Keras team demoed various workflows around LLMs (Gemma) with Keras. Opt-out to avoid Slack training LLM models on your private data — Slack (acquired by Salesforce) could train their LLM models on your data. This is close to what I had demoed last year in a talk. This is pure gold.
An internationally recognized speaker on data virtualization, warehouse automation, and big data, Myers has contributed to leading industry publications and helped organizations solve complex analytics challenges. His expertise spans from operational platforms to emerging datamanagement paradigms.
If data is delayed, outdated, or missing key details, leaders may act on the wrong assumptions. Regulatory Compliance Demands Data Governance: Data privacy laws such as GDPR and CCPA require organizations to track, secure, and audit sensitive information. Start Your Free Trial | Schedule a Demo
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagement When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.
In this episode CEO and founder Salma Bakouk shares her views on the causes and impacts of "data entropy" and how you can tame it before it leads to failures. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.
Product datamanagement fixes that. Product datamanagement (PDM) is the practice of organizing, storing, and managing all the data related to a product in one central system. Product datamanagement systems bring all of that information together into one structured, searchable place.
Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are datamanagement and storage solutions designed to meet different needs in data analytics, integration, and processing. See it in action and schedule a demo with one of our data experts today.
Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are datamanagement and storage solutions designed to meet different needs in data analytics, integration, and processing. See it in action and schedule a demo with one of our data experts today.
Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are datamanagement and storage solutions designed to meet different needs in data analytics, integration, and processing. See it in action and schedule a demo with one of our data experts today.
If you are starting down the path of implementing a data governance strategy then this episode will provide a great overview of what is involved. If you hand a book to a new data engineer, what wisdom would you add to it? What is data governance? If you hand a book to a new data engineer, what wisdom would you add to it?
In this episode Isaac Brodsky explains how the Unfolded platform is architected, their experience joining the team at Foursquare, and how you can start using it for analyzing your spatial data today. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.
Public, private, hybrid or on-premise datamanagement platform. Analytics that are simple to use and manage for actionable insights. Structure for unstructured data sources such as clinical & physician notes, photos, etc. Security and governance in a hybrid environment. Lunch and refreshments will be provided.
In this episode he shares his experiences working with organizations to adopt analytics engineering patterns and the ways that Optimus and dbt were combined to let data analysts deliver insights without the roadblocks of complex pipeline management. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold.
How to chat with data in Snowflake using ChatGPT, dbt, and Streamlit — Less boring, obviously when you put ChatGPT and dbt in the same sentence it creates buzz instantly. This is an interesting demo of how you can quickly build a chat experience—using OpenAI—on top of you data models.
orchestration: This directory contains the Dagster-related files, which are used to define and managedata pipelines and assets. assets.py: This file defines Dagster assets, which represent the outputs of computations or transformations in your data pipeline. Assets are central to Dagster's datamanagement and orchestration.
The session will also discuss challenges of data monetization such as privacy regulations, and legitimate data harvesting and storage. Live demos Attendees will experience live demonstrations about the newest features and capabilities of the Snowflake Telecom Data Cloud and our partners at Booth 5A31 in Hall 5.
We’ll also provide demo code so you can try it out for yourself. The explosive number of devices generating, tracking and sharing data across a variety of networks is overwhelming to most datamanagement solutions. Demo of Scylla and Confluent integration. We will be interacting with the data in Kafka via KSQL.
Preamble Hello and welcome to the Data Engineering Podcast, the show about modern datamanagement When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode. What is unique about customer event data from an ingestion and processing perspective?
Their analytics-first approach to healthcare leverages AI-powered insights and workflows through natively integrated datamanagement, analytics and care management solutions. Leap Metrics Leap Metrics is a SaaS company that seeks to improve health outcomes for populations with chronic conditions while reducing the cost of care.
They also explain some of the types of data that you can use with Chaos Search, how to load it into S3, and when you might want to choose it over Amazon Athena for our serverless data analysis. Request a demo at dataengineeringpodcast.com/metis-machine to learn more about how Metis Machine is operationalizing data science.
This is a great episode to listen to for ideas on how to organize a data engineering organization. Preamble Hello and welcome to the Data Engineering Podcast, the show about modern datamanagement When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode.
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