How To Effectively Reduce Data Quality Incidents 10x with Datafold

Building the Backend: Data Solutions that Power Leading Organizations

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Mind The Business: Small Business Success Stories

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Pushing Past Stagnation & Business Plateaus 30:21

cách đây 4 ngày trước30:21

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Hitting plateaus is a common milestone in business, but there’s a difference between stability and a rut. In the last installment of this season, we’ll dive into the ways small business owners push beyond plateaus and find new ways to achieve revenue growth. Jannese and Austin wrap up their time in Nashville, Tennessee with a wonderful visit to N.B. Goods to speak with owner Camille Alston . Camille details the times where she hit a wall with profits, the strategies she implemented to increase revenue, what worked, what didn’t, and the important lessons she learned in the process. You won’t want to miss this informative final chapter! Learn more about how QuickBooks can help you grow your business: QuickBooks.com See omnystudio.com/listener for privacy information.…

cách đây 4 năm trước 39:12

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The foundation of any data observability platform is the data catalog.
Data observability becomes increasingly difficult the more data sets you have if you do not define your process to track and monitor your data.
Do not surprise your report consumers. knowing how your metrics will change in prod before your deployment can be done with the right data observability process and regression testing.

43 tập

#Tech #Podcasting Education #Travis Lawrence

How To Effectively Reduce Data Quality Incidents 10x with Datafold

Building the Backend: Data Solutions that Power Leading Organizations

24 subscribers

published cách đây 4 năm trước

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MP3•Trang chủ episode

The foundation of any data observability platform is the data catalog.
Data observability becomes increasingly difficult the more data sets you have if you do not define your process to track and monitor your data.
Do not surprise your report consumers. knowing how your metrics will change in prod before your deployment can be done with the right data observability process and regression testing.

43 tập

#Tech #Podcasting Education #Travis Lawrence

Tất cả các tập

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The Analytics Engine for All Your Data with Justin Borgman @ Starburst 36:12

cách đây 3 years trước36:12

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In this episode we speak with Justin Borgman, Chairman & CEO at Starburst, which is based on open source Trino (formerly PrestoSQL) and was recently valued at $3.35 billion after securing their series D funding. In this episode we discuss convergence of DW’s / DL's, why data lakes fail and much much more. Top 3 takeaways The data mesh architecture is gaining adoption more quickly in Europe due to GDPR. There were two main limitations of data lakes when comparing to DW’s, performance and CRUD operations. Performance has been resolved with query engines like Starburst and tools like Apache Iceberg, Apache Hudi and Delta Lake are starting to close the gap with CRUD operations. The principle of a single source of truth / storing everything in a single DL or DW is not always feasible or possible depending on regulations. Starburst is bridging that gap and enabling data mesh and data fabric architectures.…

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Transform Your Object Storage Into a Git-like Repository With Paul Singman @ LakeFS 27:23

cách đây 3 years trước27:23

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In this episode we speak with Paul Singman Developer Advocate at Treeverse / LakeFS. LakeFS is an open source project that allows you to transform your object storage into a Git-like repository. Top 3 takeaways LakeFS enables use cases like debugging to quickly view historical versions of your data at a specific point in time and running ML experiments over the same set of data with branching.. The current data landscape is very fragmented with many tools available.. Over the coming years there will most likely be consolidation of tools that are more open and integrated. Data quality and observability continue to be key components of successful data lakes and having visibility into job runs.…

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Enable Faster Data Processing and Access with Apache Arrow with Matt Topol @ Factset 49:15

cách đây 3 years trước49:15

49:15

In this episode we speak with Matt Topol, Vice President, Principal Software Architect @ FactSet and dive deep into how they are taking advantage of Apache Arrow for faster processing and data access. Below are the top 3 value bombs: Apache Arrow is an open-source in-memory columnar format that creates a standard way to share and process data structures. Apache Arrow Flight eliminates serialization and deserialization which enables faster access to query results compared to traditional JDBC and ODBC interfaces. Don’t put all your eggs in one basket, whether you're using commercial products or open source, make sure you design a modular architecture that does not tie you down to any one piece of technology.…

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Implementing Amundsen @ Convoy with Chad Sanderson 35:52

cách đây 3 years trước35:52

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In this episode we speak with Chad Sanderson head of data and early stage startup advisor focused on data innovation @ Convoy and uncover their journey to implementing Amundsen, an open source data catalog. Below are the top 3 value bombs: Data Scientist’s should not be spending the majority of their time trying to find the data they are interested in. Amundsen is a powerful open source data catalog that integrates across your data landscape to provide visibility into your data assets and lineage. We often get lost in the features within data teams. It’s important to take a step back and understand how you're impacting the bottom line of the business.…

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The Importance of Treating Your Data Initiatives as Products with Murali Bhogavalli 26:33

cách đây 3 years trước26:33

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Your data team should not just be keeping the lights on, but should be building and creating data products to support the business. In this episode we speak with Murali Bhogavalli a data product manager and explore what is a data product manager and how they differ from a traditional product manager. Below are the top 3 value bombs: Data should be looked at as a product and treated as such within the organization (i.e. agile methodologies, continuous improvement…) Organizations need to be more than just data driven but also data informed. For that to happen, you need to build data literacy into your ecosystem by helping everybody understand what the data means and where is it coming from and the quality of it.. Product managers typically use data to deliver the outcomes. But for a data PM, data is the deliverable and it also the outcome.…

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Open-Source Data Catalog Amundsen with Mark Grover @ Stemma 41:11

cách đây 3 years trước41:11

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In this episode of Building The Backend we hear from Mark Grover founder @ Stemma, co-creator of Amundsen. Stemma is a fully managed data catalog, powered by the leading open-source data catalog, Amundsen. Below are top 3 value bombs: Automated data catalogs are critical to help wrangle the growing data across organizations. (i.e. Being able to identify out of 150 columns on this table only 10 are being used downstream) Tribal knowledge and context cannot be automated - data catalogs cannot be 100% automated. Amundsen is an open-source data catalog originally created at Lyft. Stemma has created a managed version of Amundsen. Help me improve the podcast by completing this 60 second survey: https://buildingthebackend.com/survey…

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Architecting a Modern Data Lake with Dipti Borkar from Ahana 39:32

cách đây 3 years trước39:32

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In this episode of Building The Backend we hear from Dipti Borkar cofounder @ Ahana a managed service for Presto on AWS, where we talk all about the data lake, how it should be structured and where the industry is going. Below are top 3 value bombs: Presto is an open source distributed SQL query engine originally created by Facebook, mainly used to run SQL queries on data lakes but can be connected to relational data stores as well. Ahana is a managed Presto service on AWS with 3x price/performance. When optimizing your data lake, it’s normally best to store the data in Parquet or ORC format vs JSON or CSV as they are columnar formats that can have indexes built in. Data Lake Houses are continuing to gain popularity by bringing the benefits of your data lake and data warehouse together with the help of tools like Databricks DeltaLake and Apache HUDI.…

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Open Source BI with Apache Superset 29:15

cách đây 3 years trước29:15

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What tools are you using for data viz? Are they low cost? One option is Apache Superset, in this episode we speak with Robert Stolz to learn more about Superset and other open source data tools. Top 3 Value Bombs: One popular use case with Apache Superset is embedding it within applications because it’s open source, there is a wide range of flexibility to integrate it with existing systems. Apache Superset supports any sources supported by the Python SQL toolkit called SQLAlchemy. DBT encourages a set of best practices around data development (i.e. source control and test driven development).…

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Edge Computing and Continuous Intelligence with Swim 34:17

cách đây 3 years trước34:17

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In this episode of Building The Backend we hear from Simon Crosby – CTO @ Swim an open source edge computing operating system, where we talk all about edge computing, event streaming and much more. Below are top 3 value bombs: Edge means more than just being physically located somewhere it could also mean in the cloud. It really is the closest point of where your source data is being generated. Continuous intelligence is a design pattern where streaming data is directly tied into business operations. Kafka is continuing to hold it’s strong position in the event streaming space.…

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12 Modern Data Architecture Principles That Should Be Implemented in 2022 20:24

cách đây 4 years trước20:24

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This episode is a little different then the usual format. Instead of interviewing a data leader - I share what I consider are the 12 most important principles when designing a modern data architecture . Please message me on LinkedIn with the thoughts on this show.

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The Keys to Good Data Quality With Prukalpa Sankar from Atlan 37:21

cách đây 4 years trước37:21

37:21

In this episode of Building The Backend we hear from Prukalpa Sankar – Co-founder of Atlan, where we talk all about data quality/governance, common issues organizations face when implementing data quality and much much more. Below are top 3 value bombs: Data Governance has a bad reputation. It should not be a bureaucratic controlling process that is pushed from the top down. Active Metadata is key to modern data architectures, essentially it’s putting together all the human and machine generated metadata together to derive insights. One of the most difficult metadata attributes to capture is the context for the data as this almost always requires input from humans and tribal knowledge is often lost and is not documented.…

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Designing a Modern Data Architecture – Teradata 44:29

cách đây 4 years trước44:29

44:29

This is a podcast episode you do not want to miss with Stephen Brobst, CTO @ Teradata. We discuss all things Data Warehouses, the shift to the distributed cloud and, key principles to implementing successful DW's. Top 3 Value Bombs: Large organizations are shifting more to a distributed / inter-cloud architecture for many reasons, a couple of reasons are data sovereignty, increasing residency and reducing costs. Just because your DW does not support indexing does not mean you do not need them. One of the most common reasons DW’s fail is they are led by IT and not the business. The DW should be led directly by the business needs and most important initiatives.…

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Exploring Open-Source Data Integration With Airbyte 35:42

cách đây 4 years trước35:42

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“The hardest part of ETL is not building the connectors, it is maintaining them.” Truer words never spoken. Really enjoyed this episode with Michel Tricot CEO & Co-Founder of Airbyte where we discuss all things data integration and connectors. Top 3 value bombs: The future of ETL/ELT integration connectors may lie with open source. Many closed source data integration tools only create connectors if the ROI is there, but this leaves many tools out and speed to market can be slow. Airbyte has created a modular open source framework that allows the community to quickly build reliable data connectors. As Airbyte starts to monetize they have some innovative methods, one of which is if a developer from the open source community creates and maintains a connector they could potentially get a small percentage of revenue associated with that connector. Data governance ang logging is increasingly becoming more important in the coming years.…

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How To Effectively Reduce Data Quality Incidents 10x with Datafold 39:12

cách đây 4 years trước39:12

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This episode features Gleb Mezhanskiy Co-Founder & CEO @ Datafold, during our discussion we talk all about data observability and how to improve your data quality. Before Datafold, Gleb was a founding member of data teams at Lyft and Autodesk, where he built sophisticated data platforms and developed tooling to improve productivity and data quality. Top 3 Value Bombs: The foundation of any data observability platform is the data catalog. Data observability becomes increasingly difficult the more data sets you have if you do not define your process to track and monitor your data. Do not surprise your report consumers. knowing how your metrics will change in prod before your deployment can be done with the right data observability process and regression testing.…

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Applying Transformations to Streaming Data with Materialize 32:55

cách đây 4 years trước32:55

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This episode features Arjun Narayan Co-Founder & CEO @ Materialize, during our discussion we talk all about transforming streaming data, the do’s the don’ts and how Materialize is changing the landscape of streaming. Top 3 Value Bombs: When creating schema changes organizations should always strive to create forward compatible schema changes only. This means consumers will be able to consume your data model without impacting them, they just may be missing your newly added column. Materialized computations are bound to change in the future, either due to bugs or requirement changes. Kafka allows you to replay all your previous messages to update the calculation. The cloud is still young, over the coming years we will see many more technologies that are specifically built with a cloud focus.…

Building the Backend: Data Solutions that Power Leading Organizations

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Transportation Modeling and Autonomous Vehicles With Matt Battifarano 35:04

cách đây 4 years trước35:04

35:04

In this episode, we speak with Matt Battifarano. Matt is a data scientist focusing on transportation modeling. He first started his career as a data scientist at a startup called Bridj where they created a smart micro-bus platform for urban transit similar to Uber Pool. Currently he’s working towards his PHD at Carnegie Mellon at their Mobility Data Analytics Center. Top 3 Value Bombs: K.I.S.S - Keep it super simple. Do not over complicate the process, especially when just starting out prototyping.. The importance of understanding the purpose/history of methods in AI/ML There are many challenges to developing autonomous vehicles - one in particular is creating an environment where you can test it safely. Unlike many AI/ML tests you cannot perform A/B tests with end users.…

Building the Backend: Data Solutions that Power Leading Organizations

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The Importance of Self Service BI with 5xData 26:30

cách đây 4 years trước26:30

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In this episode, we speak with Tarush Aggarwal. Tarush is the founder of 5xdata, where he helps companies build a strong data foundation with self-service BI to enable the business. Prior to starting 5xData he was one of the first data engineers on the analytics team Salesforce and helped scale the data team WeWork from 5 to 100+. Top 3 Value Bombs: Ingest all your raw data into a central location and build your data models on top of that. When organizations are first building out a data platform, the first item they should focus on is building out a self-service BI tool. The use case for data lakes may be on the decline with the ability to separate storage and compute within data warehouses…

Building the Backend: Data Solutions that Power Leading Organizations

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The Next Wave of AI and Creating Intelligent Cognitive Assistants with aigo.ai 32:34

cách đây 4 years trước32:34

32:34

In today’s episode, we will speak with Peter Voss and discuss the current landscape of AI, the next wave of AI called Artificial General Intelligence, and how organizations today can level up their chatbots to create satisfied customers. Peter Voss is a Serial Entrepreneur, and Pioneer in Artificial Intelligence. Who coined the term ‘AGI’ (Artificial General Intelligence) with fellow luminaries in the space. At the age of 25 Peter, IPO’ed a company he started that grew to over 400 people. Since then he’s been focusing on AI and recently launched aigo.ai an intelligent cognitive assistant that delivers highly intelligent and hyper-personalized conversational assistants at scale for the enterprise – Top 3 Value Bombs: AI solutions today are considered “narrow”. Artificial General Intelligence is the next wave where AI solutions will be more autonomous. Chatbots can either frustrate customers or satisfy them. Create chatbots with a “brain” that can automatically kick off processes to meet their needs. Graph DB’s are critical to enabling artificial general intelligence…

Building the Backend: Data Solutions that Power Leading Organizations

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Learn How LinkedIn is Future-Proofing There Data Architecture 41:18

cách đây 4 years trước41:18

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In today’s episode, we will speak with Kapil Surlaker, the vice president of engineering at LinkedIn. Kapil has been with LinkedIn for over 10 years and has played an instrumental role in shaping the data architecture that LinkedIn is built on top of. In this episode, we cover a wide range of topics surrounding data architecture from: How metadata is captured and served up Future-proofing the data architecture The shift from on-prem to Azure How LinkedIn monitors the quality of there data in real-time…

Building the Backend: Data Solutions that Power Leading Organizations

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DataOps Is Not Just DevOps for Data with DataKitchen 28:14

cách đây 4 years trước28:14

28:14

In today’s episode, we will speak with Chris Bergh, a pioneer in the DataOps landscape and the CEO at DataKitchen, a DataOps Platform that Simplifies Complex Data Toolchains and Environments Top 3 Value Bombs: DataOps is not just DevOps for data Any organization can get started today and start implementing DataOps practices. Start small and prioritize quick wins. The people/process is just as important as the tools used if not more so when implementing DataOps. If you enjoy this episode and want to learn more, please head on over to DataKitchen.io to download your free copy of the DataOps Cookbook.…

Building the Backend: Data Solutions that Power Leading Organizations

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Getting Started with AI While Avoiding R&D Failures 37:38

cách đây 4 years trước37:38

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In today’s episode, we will speak with Manny Bernabe and discuss the current landscape of AI, how to get started implementing AI solutions and what organizations should be doing today to set them up AI success in the future. Manny is the founder of BigPlasma.ai and has 10+ years of experience creating and deploying AI & Machine Learning solutions and products to industries from financial services to semiconductor manufacturing. He helps innovation leaders build AI & analytics products/services while avoiding R&D failures. Top 3 Value Bombs: If your organization want’s to be in business in 10 years, then you need to start prototyping/creating AI solutions AI should be top of mind when designing modern data architectures. Start collecting data today for the questions you want to be able to answer three years from now.…

Building the Backend: Data Solutions that Power Leading Organizations

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Cleaning Dirty Data with the Classification Guru 17:00

cách đây 4 years trước17:00

17:00

In today’s episode, we will speak with Susan Walsh and learn why organizations struggle with creating and maintaining high-quality data and the steps she takes to resolve data issues. Susan Walsh has nearly a decade of experience fixing your data and founded the classification guru. Susan is a specialist in data classification and data cleansing. She is passionate about helping you find the value in cleaning your dirty data and raises awareness of the consequences of ignoring issues through our blog, webinars, and speaking engagements. Top 3 Value Bombs: One reason organizations struggle with having high-quality data they don’t value data as an investment but rather a cost. You must be able to track the lineage of your data to the source-of-truth, it’s critical to resolving data quality issues. Don’t just fix bad data, identify the root cause and resolve the issue there.…

Building the Backend: Data Solutions that Power Leading Organizations

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Data Teams: A Unified Management Model for Successful Data-Focused Teams 40:33

cách đây 4 years trước40:33

40:33

In today’s episode, we will speak with Jesse Anderson and learn how to run successful big data projects and how to resource your teams. Jesse is a big data expert at Big Data Institute, who’s worked with startups to Fortune 100 companies. He has taught over 30,000 people the skills to become data engineers and is published in prestigious publications such as The Wall Street Journal, CNN, BBC, NPR, Engadget, and Wired. Top 3 Value Bombs: It’s not easy to retool your traditional DW team to support big data technologies A general ratio you should have is, 2-5 data engineers for every 1 data scientist The importance of having three data teams and having them staffed properly which include operations, data engineers, and data scientists…

Building the Backend: Data Solutions that Power Leading Organizations

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DataSecOps - Increase the Security of Data While Making it Simple to Manage with eXate 41:57

cách đây 4 years trước41:57

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In today’s episode, you will hear from the co-founders of eXate Peter Lancos and Sonal Rattan. eXate streamlines, automates and simplifies the processes of storing, interpreting, and extracting value from data assets. It democratizes data privacy for organizations by providing a simple, embedded platform that automates the technical enforcement of data policies. Top 3 Value Bombs: DataSecOps is the collaboration and automation of policies enforcement from the various teams across the organization; Dev, Legal, Security, Governance, Risk, Compliance, Data Stewards, and Data Owners. Data policies should be centrally managed and automatically applied, you should not be reliant upon having a federated distributed way of applying data policies. Privacy-enhancing technologies will allow you to minimize the use of personal data without losing the functionality of the data…

Building the Backend: Data Solutions that Power Leading Organizations

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How to Monetize, Manage, and Measure Information as an Asset for Competitive Advantage 31:04

cách đây 4 years trước31:04

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In today's episode you will hear from Doug Laney, a best-selling author and recognized authority on data and analytics strategy. Doug’s book, Infonomics: How to Monetize, Manage, and Measure Information for Competitive Advantage, was selected by CIO Magazine as the “Must-Read Book of the Year” and one of the “Top 5 Books for Business Leaders and Tech Innovators.” Top 3 Value Bombs: "You can’t manage what you don’t measure”, companies should be measuring the quality characteristics of their data, the economic values it provides, and how complete and accurate it is. Organizations should be sharing more data across business units, The quickest way to get your data scientists, to find another job is to make him or her curate and harvest data. There should be a team or person in charge of curating /procuring the data.…

Building the Backend: Data Solutions that Power Leading Organizations

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Disrupting Data Governance - Everybody Should be a Data Steward 27:20

cách đây 4 years trước27:20

27:20

In today’s episode, you will hear from Laura Madsen with 20+ years in data and analytics, authoring books on data governance and healthcare analytics, and co-founded Minneapolis-based consulting firm Via Gurus. Top 3 Value Bombs: Data governance should be democratized throughout the organization Data Governance is a journey, not a destination. Most organizations are not prioritizing governance and putting the dollars behind it to ensure it's successful. Everybody in the organization should be a data steward. If you're looking at a report or metric that seems wrong, it’s your responsibility to escalate it. That process should be welcoming and efficient.…

Building the Backend: Data Solutions that Power Leading Organizations

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Azure Exam DP-203: Data Engineering on Microsoft 44:50

cách đây 4 years trước44:50

44:50

In today’s episode, you will hear from Chris Testa-O'Neill, a thought leader in the Microsoft Data and AI space, currently, part of the World Wide Learning team at Microsoft scaling his knowledge to thousands of people through his official Microsoft Learn content and Microsoft courses. Top 3 Value Bombs: Why Microsoft is merging the DP-200 and DP-201 exams into one exam (DP-203) Automation and flexibility in data architectures are key for building out modern data architectures. One of the top reasons cloud projects fail is the lack of stakeholder buy-in from upper management…

Building the Backend: Data Solutions that Power Leading Organizations

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TRAILER: Welcome to Building the Backend - EP0 2:06

cách đây 4 years trước2:06

2:06

Welcome to the Building the Backend Podcast! We’re a data podcast focused on uncovering the data technologies, processes, and patterns that are driving today’s most successful companies. In this trailer episode, you will get a glimpse of what to expect with episodes on the show.

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How To Effectively Reduce Data Quality Incidents 10x with Datafold