Streaming Data Integration Without The Code at Equalum
Play • 45 min

Summary

The first stage of every good pipeline is to perform data integration. With the increasing pace of change and the need for up to date analytics the need to integrate that data in near real time is growing. With the improvements and increased variety of options for streaming data engines and improved tools for change data capture it is possible for data teams to make that goal a reality. However, despite all of the tools and managed distributions of those streaming engines it is still a challenge to build a robust and reliable pipeline for streaming data integration, especially if you need to expose those capabilities to non-engineers. In this episode Ido Friedman, CTO of Equalum, explains how they have built a no-code platform to make integration of streaming data and change data capture feeds easier to manage. He discusses the challenges that are inherent in the current state of CDC technologies, how they have architected their system to integrate well with existing data platforms, and how to build an appropriate level of abstraction for such a complex problem domain. If you are struggling with streaming data integration and change data capture then this interview is definitely worth a listen.

Announcements

  • Hello and welcome to the Data Engineering Podcast, the show about modern data management
  • What are the pieces of advice that you wish you had received early in your career of data engineering? If you hand a book to a new data engineer, what wisdom would you add to it? I’m working with O’Reilly on a project to collect the 97 things that every data engineer should know, and I need your help. Go to dataengineeringpodcast.com/97things to add your voice and share your hard-earned expertise.
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  • Modern Data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days. Datafold helps Data teams gain visibility and confidence in the quality of their analytical data through data profiling, column-level lineage and intelligent anomaly detection. Datafold also helps automate regression testing of ETL code with its Data Diff feature that instantly shows how a change in ETL or BI code affects the produced data, both on a statistical level and down to individual rows and values. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Go to dataengineeringpodcast.com/datafold today to start a 30-day trial of Datafold. Once you sign up and create an alert in Datafold for your company data, they will send you a cool water flask.
  • Are you bogged down by having to manually manage data access controls, repeatedly move and copy data, and create audit reports to prove compliance? How much time could you save if those tasks were automated across your cloud platforms? Immuta is an automated data governance solution that enables safe and easy data analytics in the cloud. Our comprehensive data-level security, auditing and de-identification features eliminate the need for time-consuming manual processes and our focus on data and compliance team collaboration empowers you to deliver quick and valuable data analytics on the most sensitive data to unlock the full potential of your cloud data platforms. Learn how we streamline and accelerate manual processes to help you derive real results from your data at dataengineeringpodcast.com/immuta.
  • Your host is Tobias Macey and today I’m interviewing Ido Friedman about Equalum, a no-code platform for streaming data integration

Interview

  • Introduction
  • How did you get involved in the area of data management?
  • Can you start by giving an overview of what you are building at Equalum and how it got started?
  • There are a number of projects and platforms on the market that target data integration. Can you give some context of how Equalum fits in that market and the differentiating factors that engineers should consider?
  • What components of the data ecosystem might Equalum replace, and which are you designed to integrate with?
  • Can you walk through the workflow for someone who is using Equalum for a simple data integration use case?
    • What options are available for doing in-flight transformations of data or creating customized routing rules?
    • How do you handle versioning and staged rollouts of changes to pipelines?
  • How is the Equalum platform implemented?
    • How has the design and architecture of Equalum evolved since it was first created?
    • What have you found to be the most complex or challenging aspects of building the platform?
  • Change data capture is a growing area of interest, with a significant level of difficulty in implementing well. How do you handle support for the variety of different sources that customers are working with?
    • What are the edge cases that you typically run into when working with changes in databases?
  • How do you approach the user experience of the platform given its focus as a low code/no code system?
    • What options exist for sophisticated users to create custom operations?
  • How much of the underlying concerns do you surface to end users, and how much are you able to hide?
  • What is the process for a customer to integrate Equalum into their existing infrastructure and data systems?
  • What are some of the most interesting, unexpected, or innovative ways that you have seen Equalum used?
  • What are the most interesting, unexpected, or challenging lessons that you have learned while building and growing the Equalum platform?
  • When is Equalum the wrong choice?
  • What do you have planned for the future of Equalum?

Contact Info

Parting Question

  • From your perspective, what is the biggest gap in the tooling or technology for data management today?

Closing Announcements

  • 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.
  • Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes.
  • If you’ve learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com) with your story.
  • To help other people find the show please leave a review on iTunes and tell your friends and co-workers
  • Join the community in the new Zulip chat workspace at dataengineeringpodcast.com/chat

Links

The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA

Streaming Audio: A Confluent podcast about Apache Kafka
Streaming Audio: A Confluent podcast about Apache Kafka
Confluent, original creators of Apache Kafka®
Change Data Capture and Kafka Connect on Microsoft Azure ft. Abhishek Gupta
What’s it like being a Microsoft Azure Cloud advocate working with Apache Kafka® and change data capture (CDC) solutions? Abhishek Gupta would know! At Microsoft, Abhishek focuses his time on Kafka, Databases, Kubernetes, and open source projects. His experience in a wide variety of roles ranging from engineering, consulting, and product management for developer-focused products has positioned him well for developer advocacy, where he is now. Switching gears, Abhishek proceeds to break down the concept of CDC starting off with some of the core concepts such as "commit logs." Abhishek then explains how CDC can turn data around when you compare it to the traditional way of querying the database to access data—you don't call the database; it calls you. He then goes on to discuss Debezium, which is an open source change data capture solution for Kafka. He also covers some of the Azure connectors on Confluent, Azure Data Explorer, and use cases powered by the Azure Data Explorer Sink Connector for Kafka. EPISODE LINKS * Streaming Data from Confluent Cloud into Azure Data Explorer * Integrate Apache Kafka with Azure Data Explorer * Change Data Capture with Debezium ft. Gunnar Morling * Tales from the Frontline of Apache Kafka DevOps ft. Jason Bell * MySQL CDC Source (Debezium) Connector for Confluent Cloud * MySQL, Cassandra, BigQuery, and Streaming Analytics with Joy Gao * Join the Confluent Community Slack * Learn more with Kafka tutorials, resources, and guides at Confluent Developer * Live demo: Kafka streaming in 10 minutes on Confluent Cloud * Use *60PDCAST* to get an additional $60 of free Confluent Cloud usage (details)
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The Cloudcast
The Cloudcast
Cloudcast Media
An Event-Driven Apps Look Ahead for 2021
James Urquhart (@jamesurquhart, Global Field CTO @VMware, O’Reilly Author) talks about event-driven application architectures, how it's changing real-time business models, and technology stack driven the evolution.  *SHOW: *483 *SHOW SPONSOR LINKS:* * BMC Wants to Know if your business is on its A-Game * BMC Autonomous Digital Enterprise * Datadog Security Monitoring Homepage - Modern Monitoring and Analytics * Try Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt. * Okta - You should not be building your own Auth * Learn how Okta helped Cengage improve student success rates during COVID. *CLOUD NEWS OF THE WEEK *- http://bit.ly/cloudcast-cnotw *CHECK OUT OUR NEW PODCAST - **"CLOUDCAST BASICS"* *SHOW NOTES:* * Flow Architectures - The Future of Event Streaming & Event-Driven Integration * The Cloudcast Eps.43 - James Urquhart * The Cloudcast Eps.344 - Bringing AI to the Edge (Swim.ai) * The Cloudcast Eps.334 - The Future of Edge Computing (Derek Collison, Synadia) *Topic 1 *- Welcome back to the show. We’ve known you for quite a while, going back to working together on very early Cloud stuff. You’ve always enjoyed being focused on complex, distributed systems. Tell us what you’re focused on these days.  *Topic 2 *- Let’s talk about this concept of “event-driven” and flow. Where did it come from, what does it do, why is it valuable to application designers? *  * *Topic 2a *- What is a “flow” and how is it related to event-driven? *Topic 3 *- Events are data. We’ve had relational databases for data, and then we had NoSQL or eventually-consistent databases for data. Are events a new type of data, or a new way to deal with data in a different context?  (channels, replays, etc.) *Topic 4 *- Can we talk through an example of an event-driven application, or an event-driven integration between multiple organizations? How is it new/different? What unique capabilities does it bring now?  (Kafka, IoT, API Gateways, etc.) *Topic 5 *- Cloud made IT self-service. Serverless made Ops become on-demand. If I’m a business leader, what does event-driven give us?*  * *Topic 6 *- Where are we in the maturity of event-driven architectures? What might be some of the next stages coming in 2021 or 2022?   *FEEDBACK?* * Email: show at thecloudcast dot net * Twitter: @thecloudcastnet
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Google Cloud Platform Podcast
Google Cloud Platform Podcast
Google Cloud Platform
2020 Year End Wrap Up
This week, four of the podcast’s greatest hosts come together to celebrate all of the fun and informative episodes we’ve been privileged to do this year! Join Mark Mirchandani, Jon Foust, Priyanka Vergadia, and Brian Dorsey as we talk about our favorite guests and shows, some cool things that happened this year, and what we’re looking forward to in 2021! Cool things of the week * A Giant List of Google Cloud Resources blog * Google Cloud 4 Words site Our favorite episodes * Jon’s Favorites * GCP Podcast Episode 212: Data Management with Amy Krishnamohan podcast * GCP Podcast Episode 237: NVIDIA with Bryan Catanzaro podcast * Priyanka’s Favorite * GCP Podcast Episode 240: reCAPTCHA Enterprise with Kelly Anderson + Spring ML Potholes with Eric Clark podcast * Mark’s Favorites * GCP Podcast Episode 242: NASA and FDL with James Parr and Madhulika Guhathakurta podcast * GCP Podcast Episode 217: Cost Optimization with Justin Lerma and Pathik Sharma podcast * GCP Podcast Episode 228: Fastly with Tyler McMullen podcast * Brian’s Favorites * GCP Podcast Episode 223: Voice Coding with Emily Shea and Ryan Hileman podcast * GCP Podcast Episode 233: Bare Metal Solution with James Harding and Gurmeet Goindi podcast * GCP Podcast Episode 212: Data Management with Amy Krishnamohan podcast Sound Effects Attribution * “Bad Beep” by RicherLandTV of Freesound.org * “Small Group Laugh 6” by Tim.Kahn of Freesound.org * “It’s Always Night in Space” by JamesSilvera of HDInteractive.com * “Easy Cheesy” by LoboLoco of FreeMusicArchive.org
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Python Bytes
Python Bytes
Michael Kennedy and Brian Okken
#216 Container: Sort thyself!
Sponsored by Datadog: pythonbytes.fm/datadog Special guest: Jousef Murad, Engineered Mind podcast (audio, video) Watch on YouTube Brian #1: pip search. Just don’t. * pip search [query] is supposed to “Search for PyPI packages whose name or summary contains [query]” * The search feature looks like it’s going to be removed and the PyPI api for it removed. * Alternative, and better approach, just manually look at pypi.org and search for stuff. * Right now it does this: $ pip search pytest ERROR: Exception: Traceback (most recent call last): ... [longish traceback ommited] --- xmlrpc.client.Fault: [Fault -32500: "RuntimeError: PyPI's XMLRPC API has been temporarily disabled due to unmanageable load and will be deprecated in the near future. See https://status.python.org/ for more information."] * The Python Infrastructure status page says, as of Jan 12: “Update - The XMLRPC Search endpoint remains disabled due to ongoing request volume. As of this update, there has been no reduction in inbound traffic to the endpoint from abusive IPs and we are unable to re-enable the endpoint, as it would immediately cause PyPI service to degrade again.” * This started becoming a problem in mid December. * The endpoint was just never architected to handle the scale it’s getting now. * There’s a current issue “Remove the pip search command”, open on pip. * The commend thread is locked now, but you can read some of the history. * I personally don’t understand the need to hammer search with a CI system or other. * Probably should be using a local cache or local pypi mirror for an active/aggressive CI system. * If you have scripts or jobs that run pip search , it ain’t gonna work, so probably best to remove that. 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The Backend Engineering Show with Hussein Nasser
The Backend Engineering Show with Hussein Nasser
Hussein Nasser
The 2021 Slack Outage (Detailed analysis)
On Jan 4th 2021, Slack experienced a global outage that prevented customers from using the service for nearly 5 hours. Slack has released the Root cause analysis incident report which I’m going to summarize in the first part of this video. After that Ill provide a lengthy deep dive of the incident so make sure to stick around for that. If you are new here, I make backend engineering videos and also cover software news, so make sure to Like comment and subscribe if you would like to see more plus it really helps the channel, lets jump into it. So This is an approximation of Slack’s architecture based on what was the described in the reports. Clients connects to load balancers, load balancers distribute requests to backend servers and backend servers finally make requests to database servers which is powered by mysql through vitess sharding. All of those are connected by routers in cross boundary network. Around 6AM jan 4 , the cross network boundary routers setting between LB and backend and backend to DB started to drop packets. This lead to the load balancers slowly marking backends as unhealthy and removing them from the fleet Which compounded the amount of requests The number of failed requests eventually triggered the provisioning service to start spinning an absurdly large number of backend servers However the provisioning service couldn’t keep up with the huge demand and shortly started to time out for the same networking reasons and eventually ran out of maximum open file handles. Eventually Slack’s cloud provider increased the networking capacity and backend servers went back to normal around 11 AM PST This was a summary of the slack outage, Now set back, grab your favorite beverage and lets go through the detailed incident report! 0:00 Outage Summary 2:00 Detailed Analysis Starts 5:20 The Root Cause 30:00 Corrective Actions --- Send in a voice message: https://anchor.fm/hnasr/message
44 min
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Software Defined Talk
Software Defined Talk LLC
Episode 281: That’s a thing, I don’t need to read about it
This week we discuss VMware CEO Pat Gelsinger jumping to Intel and what is going on with DevSecOps. Plus, lots advice on picking movies both you and your partner will enjoy. Rundown VMware CEO → Intel What’s the latest Solarwinds hack news? Coté is figuring out “DevSecOps” - or is it “DevOpsSec”? 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(https://thehustle.co/01082021-blockchain-banks/) 85% of Italian Banks Are Exchanging Interbank Transfer Data on Corda - CoinDesk (https://www.coindesk.com/85-of-italian-banks-are-exchanging-interbank-transfer-data-on-corda) Lost Passwords Lock Millionaires Out of Their Bitcoin Fortunes (https://www.nytimes.com/2021/01/12/technology/bitcoin-passwords-wallets-fortunes.html) Don’t Forget Your Bitcoins (https://www.bloomberg.com/opinion/articles/2021-01-12/don-t-forget-your-bitcoins) RISC-V BeagleBoard BeagleV (https://beagleboard.org/beaglev) Raspberry PI Why We Love the Raspberry Pi (https://www.nytimes.com/wirecutter/reviews/raspberry-pi/) Buy a Raspberry Pi Zero W – Raspberry Pi (https://www.raspberrypi.org/products/raspberry-pi-zero-w/) Solarwinds Details on SolarWinds Hack (https://twitter.com/briankrebs/status/1348828797966147584?s=21) SolarWinds hires former Trump cyber security chief Chris Krebs (https://www.ft.com/content/df641e33-9150-4846-b4f7-db4e3175d290) NYT JetBrains story, I'm calling it - the story was irresponsibly released. 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Start your free 14-day trial today at: strongdm.com/SDT (http://strongdm.com/SDT) Now Hiring Jordi wants you to work at Tricentis (https://www.tricentis.com/company/careers/all/) Michael wants to be a Solution Architect at Cloudbees (https://boards.greenhouse.io/cloudbees/jobs/2582391) More info in SDT Slack (https://www.softwaredefinedtalk.com/slack) see channel #jobs Conferences Call for Papers (https://sessionize.com/devopsdays-texas-2021/) ends on Jan. 31st for DevOpsDay Texas on March 2nd. (https://devopsdays.org/events/2021-texas/welcome/) SDT news & hype Join us in Slack (http://www.softwaredefinedtalk.com/slack). Send your postal address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) and we will send you free laptop stickers! Follow us on Twitch (https://www.twitch.tv/sdtpodcast), Twitter (https://twitter.com/softwaredeftalk), Instagram (https://www.instagram.com/softwaredefinedtalk/) and LinkedIn (https://www.linkedin.com/company/software-defined-talk/). Brandon built the Quick Concall iPhone App (https://itunes.apple.com/us/app/quick-concall/id1399948033?mt=8) and he wants you to buy it for $0.99. Use the code SDT to get $20 off Coté’s book, (https://leanpub.com/digitalwtf/c/sdt) Digital WTF (https://leanpub.com/digitalwtf/c/sdt), so $5 total. Become a sponsor of Software Defined Talk (https://www.softwaredefinedtalk.com/ads)! Recommendations Matt: Apple TV’s Ted Lasso (https://tv.apple.com/au/show/ted-lasso/umc.cmc.vtoh0mn0xn7t3c643xqonfzy) Brandon: Possessor (https://www.rottentomatoes.com/m/possessor_uncut). Coté: Descript (https://www.descript.com), so far. Bear app (https://bear.app). Don’t spike your mind during family time with inserting work. Photo Credit (https://unsplash.com/photos/ny-lHmsHYHk) Photo Credit (https://unsplash.com/photos/eM6WUs4nKMY)
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