The reason that so much time and energy is spent on data integration is because of how our applications are designed. By making the software be the owner of the data that it generates, we have to go through the trouble of extracting the information to then be used elsewhere. The team at Cinchy are working to bring about a new paradigm of software architecture that puts the data as the central element. In this episode Dan DeMers, Cinchy’s CEO, explains how their concept of a "Dataware" platform eliminates the need for costly and error prone integration processes and the benefits that it can provide for transactional and analytical application design. This is a fascinating and unconventional approach to working with data, so definitely give this a listen to expand your thinking about how to build your systems.
Satori created the first DataSecOps solution which streamlines data access while solving the most difficult security and privacy challenges. The Secure Data Access Service is a universal visibility and control plane across all data stores, allowing you to oversee your data and its usage in real-time while automating access controls. The service maps all of the organization’s sensitive data and monitors all data flows in real-time across all data stores. Satori enables your organization to replace cumbersome permissions with streamlined just-in-time data access workflows. It acts as a universal policy engine for data access by enforcing access policies, masking or anonymizing data, and initiating off-band access workflows.
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Your data platform needs to be scalable, fault tolerant, and performant, which means that you need the same from your cloud provider. Linode has been powering production systems for over 17 years, and now they’ve launched a fully managed Kubernetes platform. With the combined power of the Kubernetes engine for flexible and scalable deployments, and features like dedicated CPU instances, GPU instances, and object storage you’ve got everything you need to build a bulletproof data pipeline. If you go to dataengineeringpodcast.com/linode today you’ll even get a $100 credit to use on building your own cluster, or object storage, or reliable backups, or… And while you’re there don’t forget to thank them for being a long-time supporter of the Data Engineering Podcast!
Hightouch is the leading Reverse ETL platform. Your data warehouse is your source of truth for customer data. Hightouch syncs this data to the tools that your business teams rely on. Hightouch has a catalog of flexible destinations including Salesforce, HubSpot, Zendesk, NetSuite, and ad platforms like Facebook or Google. Hightouch is built for data engineers and is a natural extension to the modern data stack with out-of-the-box integrations with your favorite tools like dbt, Fivetran, Airflow, Slack, PagerDuty, and DataDog.
It’s simple — connect your data warehouse, paste a SQL query, and use our visual mapper to specify how data should appear in downstream tools. No scripts, just SQL. Get started for free at dataengineeringpodcast.com/hightouch
- Hello and welcome to the Data Engineering Podcast, the show about modern data management
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- Are you bored with writing scripts to move data into SaaS tools like Salesforce, Marketo, or Facebook Ads? Hightouch is the easiest way to sync data into the platforms that your business teams rely on. The data you’re looking for is already in your data warehouse and BI tools. Connect your warehouse to Hightouch, paste a SQL query, and use their visual mapper to specify how data should appear in your SaaS systems. No more scripts, just SQL. Supercharge your business teams with customer data using Hightouch for Reverse ETL today. Get started for free at dataengineeringpodcast.com/hightouch.
- Have you ever had to develop ad-hoc solutions for security, privacy, and compliance requirements? Are you spending too much of your engineering resources on creating database views, configuring database permissions, and manually granting and revoking access to sensitive data? Satori has built the first DataSecOps Platform that streamlines data access and security. Satori’s DataSecOps automates data access controls, permissions, and masking for all major data platforms such as Snowflake, Redshift and SQL Server and even delegates data access management to business users, helping you move your organization from default data access to need-to-know access. Go to dataengineeringpodcast.com/satori today and get a $5K credit for your next Satori subscription.
- Your host is Tobias Macey and today I’m interviewing Dan DeMers about Cinchy, a dataware platform aiming to simplify the work of data integration by eliminating ETL/ELT
- How did you get involved in the area of data management?
- Can you describe what Cinchy is and the story behind it?
- In your experience working in data and building complex enterprise-grade systems, what are the shortcomings and negative externalities of an ETL/ELT approach to data integration?
- How is a Dataware platform from a data lake or data warehouses? What is it used for?
- What is Zero-Copy Integration? How does that work?
- Can you describe how customers start their Cinchy journey?
- What are the main use case patterns that you’re seeing with Dataware?
- Your platform offers unlimited users, including business users. What are some of the challenges that you face in building a user experience that doesn’t become overwhelming as an organization scales the number of data sources and processing flows?
- What are the most interesting, innovative, or unexpected ways that you have seen Cinchy used?
- When is Cinchy the wrong choice for a customer?
- Can you describe the technical architecture of the Cinchy platform?
- How do you establish connections/relationships among data from disparate sources?
- How do you manage schema evolution in source systems?
- What are some of the edge cases that users need to consider as they are designing and building those connections?
- What are some of the features or capabilities of Cinchy that you think are overlooked or under-utilized?
- How has your understanding of the problem space changed since you started working on Cinchy?
- How has the architecture and design of the system evolved to reflect that updated understanding?
- What are the most interesting, unexpected, or challenging lessons that you have learned while working on Cinchy?
- What do you have planned for the future of Cinchy?
- From your perspective, what is the biggest gap in the tooling or technology for data management today?
- Thank you for listening! Don’t forget to check out our other show, Podcast.__init__ to learn about the Python language, its community, and the innovative ways it is being used.
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