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The Cloudcast - Managing the Business Impact of Data Quality

Managing the Business Impact of Data Quality

03/09/22 • 33 min

1 Listener

The Cloudcast

Elliot Shmukler (@eshmu, Co-Founder/CEO @anomalo_hq) and Jeremy Stanley (@jeremystan, Co-Founder/CTO) talk about how data integrity and changes can impact both technology and business decisions.

SHOW: 598

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"

SHOW SPONSORS:

  • Polyscale.ai - PolyScale solves global database latency and performance with intelligent serverless caching and compute at the edge.
  • Check out PolyScale’s global edge data platform at www.polyscale.ai and sign up for a free account today.
  • strongDM - Secure infrastructure access for the modern stack.
  • Manage access to any server, database, or Kubernetes instance in minutes. Fully auditable, replayable, secure, and drag-and-drop easy. Try it free for 14 days - www.strongdm.com/signup
  • CloudZero - Cloud Cost Intelligence for Engineering Teams

SHOW NOTES:

Topic 1 - Welcome to the show. Let’s start with brief introductions and backgrounds. Elliot & Jeremy please introduce yourselves.
Topic 2 - As mentioned you both met and worked together at Instacart. Let’s introduce the concept of data quality and integrity to those who may not be familiar. What patterns and problems did you see. Any possible horror stories you can share?
Topic 3 - Up until now, I’ve seen big data often more about finding the needle in the haystack. It’s in there somewhere, you just have to find it. But, what if it is the wrong needle?
Topic 4 - Are we also talking about data drift over time as the amount of data grows? As data is added to the pool, we may come to different conclusions. How do we know if the new conclusions are based on good data or bad data?
Topic 5 - You recently announced a partnership with Snowflake. This makes sense, why build another data lake and that of course may be a barrier of entry to some, correct? Are we reaching a point with big data and data lakes that we can have one single source of truth? I know we are in early days but how do most customers approach big data today and how do they keep the data sets up to date.
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Elliot Shmukler (@eshmu, Co-Founder/CEO @anomalo_hq) and Jeremy Stanley (@jeremystan, Co-Founder/CTO) talk about how data integrity and changes can impact both technology and business decisions.

SHOW: 598

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"

SHOW SPONSORS:

  • Polyscale.ai - PolyScale solves global database latency and performance with intelligent serverless caching and compute at the edge.
  • Check out PolyScale’s global edge data platform at www.polyscale.ai and sign up for a free account today.
  • strongDM - Secure infrastructure access for the modern stack.
  • Manage access to any server, database, or Kubernetes instance in minutes. Fully auditable, replayable, secure, and drag-and-drop easy. Try it free for 14 days - www.strongdm.com/signup
  • CloudZero - Cloud Cost Intelligence for Engineering Teams

SHOW NOTES:

Topic 1 - Welcome to the show. Let’s start with brief introductions and backgrounds. Elliot & Jeremy please introduce yourselves.
Topic 2 - As mentioned you both met and worked together at Instacart. Let’s introduce the concept of data quality and integrity to those who may not be familiar. What patterns and problems did you see. Any possible horror stories you can share?
Topic 3 - Up until now, I’ve seen big data often more about finding the needle in the haystack. It’s in there somewhere, you just have to find it. But, what if it is the wrong needle?
Topic 4 - Are we also talking about data drift over time as the amount of data grows? As data is added to the pool, we may come to different conclusions. How do we know if the new conclusions are based on good data or bad data?
Topic 5 - You recently announced a partnership with Snowflake. This makes sense, why build another data lake and that of course may be a barrier of entry to some, correct? Are we reaching a point with big data and data lakes that we can have one single source of truth? I know we are in early days but how do most customers approach big data today and how do they keep the data sets up to date.
FEEDBACK?

Previous Episode

undefined - A Perspective on Fast Change and Slow Change

A Perspective on Fast Change and Slow Change

Sometimes change happens fast, and sometimes change happens over a long period of time. Today’s show tries to put a few things in perspective around tech and non-tech change.

SHOW: 597

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"

SHOW SPONSORS:

  • strongDM - Secure infrastructure access for the modern stack.
  • Manage access to any server, database, or Kubernetes instance in minutes. Fully auditable, replayable, secure, and drag-and-drop easy. Try it free for 14 days - www.strongdm.com/signup
  • Datadog Kubernetes Solution: Maximum Visibility into Container Environments
  • Start monitoring the health and performance of your container environment with a free 14 day Datadog trial. Listeners of The Cloudcast will also receive a free Datadog T-shirt.

SHOW NOTES:

WE WISH WE KNEW MORE ABOUT OUR AUDIENCE, AT A PERSONAL LEVEL

We have listeners from 130+ countries. Unfortunately podcast tools don’t give us individualized information about our audience. Over the last 5 weeks, we had 19 listeners from Ukraine. This past week, we had 0. We hope that they are all safe.

YOU NEVER KNOW WHEN A JOB WILL BE A GREAT JOB, GOOD JOB, OR BAD JOB

Over the years, Aaron and I have changed jobs within the tech industry several times. Sometimes we stayed for a little while and sometimes much longer. You never know how a specific job will be going into it, and sometimes it’s hard to have perspective on it while you’re in the job. The best you can hope for is a few great teams, or great projects, or working with great people, to offset that lots of things in tech don’t pan out like they are expected.

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Next Episode

undefined - Technology and Teams Going in Different Directions

Technology and Teams Going in Different Directions

We’re at an interesting crossroads. Technology is becoming more distributed, and yet the teams managing it are having to become more integrated. For successful companies, this is creating a different way to think about “platform” services.

SHOW: 599

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"

SHOW SPONSORS:

SHOW NOTES:

LOCATIONS, INFRASTRUCTURE AND APPLICATIONS ARE BECOMING MORE DISTRIBUTED

Data Center to Cloud. Zero-Trust Networks. Users (internal and external) are everywhere. Application Services are managed, or reached via an API.

WHAT DOES THE LAYER ABOVE INFRASTRUCTURE LOOK LIKE NOW?

We know that infrastructure is now “Cloud” and often managed by someone else, but what do we call the stuff about it? Some of it is Applications, some of it is Application-Services, and then there is a bunch of stuff that crosses boundaries between networking, security, API governance, application acceleration, etc..

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