Drill to Detail

Mark Rittman is joined on this episode by Branchworks CEO Eleanor Thompson to talk about partner programs, partner portals and the role partnerships play in making data analytics initiatives a success.Branchworks homepage : Activating Partnerships for Revenue GrowthCastorDoc case studyEleanor Thompson LinkedIn Profile

In this episode of the Drill to Detail Podcast Mark Rittman is joined by special guest Tom Gardiner, CEO @ Embeddable.com to talk about Embeddable's mission to create the leading developer toolkit for building fast, interactive customer-facing analytics directly into your product in partnership with Cube.dev and Rittman Analytics.Trevor.ioEmbeddable.comWhy Embeddable?Embeddable and Cube - Easy Embedded Analytics for EveryoneEmbeddable & Rittman AnalyticsFacility Solutions Group case study

Mark Rittman is joined in this episode by Greg McKeon, Staff Product Manager at dbt Labs to talk about their recent acquisition of SDF Labs, the vision for dbt as the control plane for data collaboration at-scale and the upcoming drag-and-drop Visual Editor that's soon to be part of dbt Cloud.dbt Cloud: The control plane for data collaboration at scaleAbout the Visual EditorCoalesce 2024 and the Launch of dbt's Visual Editing Experiencedbt Labs Acquires SDF Labs to Introduce Robust SQL Comprehension into dbt and Supercharge Developer EfficiencyDrill to Detail Ep.115 ‘Airbnb, DataOps and SQLMesh's Data Engineering Innovation' with Special Guest Toby Mao

In this episode, Sean Zinsmeister from Google joins Mark Rittman to discuss the latest developments for Looker including the integration of Looker Studio, new modeling capabilities and the exciting potential of generative AI for BI.We discuss how Looker is evolving to be a more open, composable platform that can power advanced analytics and data storytelling, with Sean sharing insights on Google's purpose-built Gemini models for natural language to SQL translation and how Looker customers can leverage these AI capabilities. We also explore Looker's agentic API strategy, the long-term vision of using Looker Studio as the primary Looker front-end and the opening up of LookML to tools beyond just Looker. Driving Looker customer innovations in the generative AI eraPreviewing Studio in Looker, the (Eventual) Future of Self-Service Reporting for LookerLooker now available from Google Cloud consoleDelivering the third wave of BI in the AI era with LookerDrill to Detail Ep.100 Special ‘Past, Present and Future of the Modern Data Stack' with Special Guests Keenan Rice, Stewart Bryson and Jake SteinDrill to Detail Ep. 73 'Luck, Thinking Different and Designing Looker Data Platform' with Special Guest Colin Zima

Join Mark Rittman in this special end-of-year episode as he speaks with Noel Gomez, co-founder of DataCoves about the challenges and opportunities of orchestrating dbt and other tools within the open-source Modern Data Stack, navigating the evolving semantic layer landscape and the future of modular, vendor-agnostic data solutions.Datacoves Platform OverviewBuild vs Buy Analytics Platform: Hosting Open-Source ToolsScale the benefits of Core with dbt CloudDagster vs. Airflow

Mark is joined in this episode by Johan Baltzar, previously Product Analytics Manager at Spotify and now co-founder and CEO at Steep to talk about the role analytics played in Spotify's growth story, the startup scene in Stockholm, Sweden and Steep's metrics-first approach to user-centric business analytics.The Kry founders factory: Meet 15 employees-turned-foundersSteep homepageNew in Steep : Cube and dbt Targets & BI - How hard can it be?

Mark is joined in this latest Drill to Detail episode by Tobias (Toby) Mao, CTO and co-Founder at Tobiko Data to talk about SQLGlot, the innovation culture at Airbnb and the data engineering challenges solved by SQLMesh.SQLGlot Introducing Minerva — Airbnb's Metric Platform SQLMesh homepage Tobiko Cloud Running dbt in SQLMesh dbt Mesh Dlt (Data Load Tool)

Mark is joined in this episode by Christian Steinert to talk about his solo journey building Steinert Analytics, a data analytics consultancy transforming data into actionable revenue and cost-saving insights for Central Ohio's SaaS startups.Steinert Analytics homepageChristian Steinert LinkedIn Profile“Helping a Roofing Company Define Their Sales Process”“Transforming a Top 5 Fast Food Company's Operational Drive-Thru Reporting”

Mark Rittman is joined in this episode by Ethan Aaron, Founder & CEO of Portable, to talk about what you should do if you're the first data hire at a company, when and when not to hire a consultant, the founding story of Portable.io and the long tail (and economic model) of the data integration connectors market.Ethan Aaron LinkedIn ProfilePortable.io Homepage“The biggest misconceptions about data integrations..” (LinkedIn)“You join a 100 person company as the head of data. What should you do?” (LinkedIn)“The stuff no one will tell you about running a data team” (LinkedIn)

Mark Rittman is joined by returning guest David Jayatillake, VP of AI at Cube.dev, to talk about Delphi Labs' journey from a standalone data analytics chatbot to now becoming the basis of Cube's new AI features within its composable semantic model product.Drill to Detail Ep.102 'LLMs, Semantic Models and Bringing AI to the Modern Data Stack' with Special Guest David JayatillakeDrill to Detail Ep.107 'Cube, Headless BI and the AI Semantic Layer' with Special Guest Artyom KeydunovIntroducing the AI API and Chart Prototyping in Cube CloudA Practical Guide to Getting Started with Cube's AI APICube Rollup London : Bringing Cube Users Together

Mark Rittman is joined in this final episode of the current series of Drill to Detail by returning guest Jordan Tigani, Co-Founder & CEO at Motherduck to talk about the journey from big data to small data and bringing hybrid cloud execution to DuckDB.Big Data is DeadTeach Your Duckdb To FlyAnnouncing Motherduck: Hybrid Execution Scales Duckdb From Your Laptop Into The CloudDrill to Detail Ep.64 ‘Google BigQuery, BI Engine and the Future of Data Warehousing' with Special Guest Jordan Tigani

Mark Rittman is joined in this special episode by previous Looker founder and inventor of the LookML language Lloyd Tabb together with Carlin Eng, Product Manager at Google Cloud to talk about Malloy, a new query language to replace SQL for analytics.Drill to Detail Ep.60 'A Deeper Look Into Looker' With Special Guest Lloyd TabbMalloy : An experimental language for dataA Sequel to SQL? An introduction to MalloyWhy SQL syntax sucks, and why it mattersComposing with QueriesDimensional Flexibility, one of the things that makes Malloy SpecialData is Rectangular and other Limiting MisconceptionsMalloy's Near Term Roadmap

Mark Rittman is joined in this episode by returning guest and Elementl Founder Nick Shrock to talk about Dagster's role in the modern data stack ecosystem and software defined assets, a new, declarative approach to managing data and orchestrating its maintenance.Introducing Software-Defined AssetsRethinking Orchestration as Reconciliation: Software-Defined Assets in DagsterOptimizing Data Materialization Using Dagster's PoliciesHow I use Dagster to orchestrate the production of social science data assets

Mark Rittman is joined in this special episode of Drill to Detail by Benn Stancil, CTO and Founder at Mode to talk about their recent acquisition by ThoughtSpot, the economics of the modern data stack and how AI and LLMs could likely become our industry's next discontinuity.We don't need another SQL chatbotThe new philosophersThoughtSpot acquires Mode Analytics, a BI platform, for $200M in cash and stockChatGPT-Powered Data Analysis using Cube, Delphi and the Code Interpreter Plugin

Mark Rittman is joined in this episode by Artyom Keydunov, Founder at Cube to talk about embedded analytics and Cube's origin story, headless BI, query acceleration and how Cube and Delphi enable an AI-powered conversational interface for the semantic layer.Empower uniquely insightful AI & LLM data experiencesAI-powered conversational interface for the semantic layerDefine metrics upstream to align your teamHow Rittman Analytics Delivers the Semantic Layer Today with CubeRittman Analytics Cube Quickstart

Hightouch co-Founder and co-CEO Tejas Manohar returns as special guest to talk with Mark Rittman about the reverse ETL market today, the evolution of the composable customer data platform and new featured in Hightouch to enrich customer profiles and drive personalization across marketing campaigns.Reverse ETL is Dead (Ethan Aaron LinkedIn Post)Customer 360 Data Warehousing and Sync to HubspotYou don't need the Modern Data Stack to get sh*t doneHightouch Customer StudioHightouch Personalization APIHightouch Match BoosterWhat's in Store for Data Teams in 2023?

Mark is joined by Shinji Kim, Founder and CEO of Select Star to talk about their mission to re-invent data catalogs, data discovery and data lineage for the modern data stackData Discovery vs. Data Observability: Understanding the Differences for Better DataOpsSelect Star and dbt Labs Partner for Better Data Discovery on dbtSelect Star : Free Trial

Mark Rittman is joined by Jason Pohl, Senior Director of Data Management at Databricks along with special co-host and Head of Customer Experience at Coalesce, Stewart Bryson to talk about data lakehouses, Databricks and helping to raise tigers in a Thai Tiger Temple.Databricks - A HistoryWhat is a Delta Lake?The Databricks Lakehouse PlatformDatabricks SQLJason Pohl LinkedIn ProfileLions and Tigers and a Bear named Maam MaamStewart Bryson Github profileCoalesce.io

Mark Rittman is joined by Twilio Segment Head of Product Kevin Niparko to talk about trends in the customer data platform market, Reverse ETL and Profiles Sync, the impact of LLMs (Large Language Models) on digital customer experience and Segment Unify, a consumer scale real-time identity resolution solution that provides complete, real-time, portable customer profiles.Segment Unify is here: complete, real-time, portable customer profilesActivate warehouse data in all of your destination toolsCustomer profiles made portableDrill to Detail Ep.94 'Rudderstack and the Warehouse-First Customer Data Platform' with Special Guest Eric DoddsDrill to Detail Ep. 86 'Reverse ETL, Hightouch and CDW as CDP' with Special Guest Tejas Manohar

Mark Rittman is joined by David Jayatillake, CEO and co-founder of Delphi Labs, to talk about the role of semantic models and the marketplace today, large language models and the phenomena that is ChatGPT, and how Delphi Labs are planning on bringing AI to Slack and the modern data stack.https://www.delphihq.com/#abouthttps://www.linkedin.com/in/david-jayatillake/details/experience/For B2B Generative AI Apps, Is Less More?LinkedIn post on rationale behind Delphi Labs product developmentDelphi - Jaffle Shop DemoSemantic Superiority - Part 1 and Part 2Semantic Search product featureLLM Implications on Analytics (and Analysts!)“Is This You?” Entity Matching in the Modern Data Stack with Large Language models and github repoChatGPT, Large Language Models and the Future of dbt and Analytics ConsultingRA Assistant

Joining Mark Rittman for this 101st Episode Special for the Drill to Detail Podcast is Tristan Handy, CEO and Founder of dbt Labs talking about what went right at RJ Metrics, how the Analyst Collective led to today's community around the open-source dbt project and his personal journey from being in the lab building Fishtown Analytics to CEO of today's hottest data analytics startup … and why he secretly wishes he was Mark (according to Mark).Ep.100 Special ‘Past, Present and Future of the Modern Data Stack' with Special Guests Keenan Rice, Stewart Bryson and Jake Stein (Drill to Detail Podcast)My $2.6 Billion Ecosystem Fail: an RJMetrics Post Mortem (Bob Moore)How Best-in-Class eCommerce Businesses Achieve 230% Growth (2x eCommerce)Introducing the RA Warehouse dbt Framework : How Rittman Analytics Does Data Centralization using dbt, Google BigQuery, Stitch and Looker (Rittman Analytics Blog)Goodbye RJMetrics, Hello Fishtown Analytics (Tristan Handy)Ep.33 'Building Out Analytics Functions in Startups' With Special Guest Tristan Handy (Drill to Detail Podcast)Analytics is a Trade (Tristan Handy)Analyst Collective website (via the Internet Archive)Building a Mature Analytics Workflow: The Analyst Collective Viewpoint (SlideShare)Fishtown Analytics : Frequently-Asked Questions (via the Internet Archive)Ep 41: dbt Labs + Transform join forces on metrics w/ Nick Handel + Drew Banin (Analytics Engineering Podcast via Spotify)

Joining Mark Rittman for this 100th Episode Special are Keenan Rice (previously Founding Team, GTM Executive at Looker, now GM at Firebolt), Stewart Bryson (previously CEO at Red Pill Analytics, now Head of Customer Experience at Coalesce) and joining us mid-way through the show as our even more special mystery guest, Jake Stein (previously Co-Founder and COO at RJ Metrics, CEO and Co-Founder at Stitch and now CEO and Co-Founder at Common Paper.Drill to Detail Past Episodes discussed on the show were:Drill To Detail Ep.1. 'After The Gartner BI&A Magic Quadrant 2016', With Special Guest Stewart BrysonDrill to Detail Ep.23 ‘Looker, BigQuery and Analytics on Big Data' With Special Guest Daniel MintzDrill to Detail Ep.33 'Building Out Analytics Functions in Startups' With Special Guest Tristan HandyDrill to Detail Ep.71 'The Rise of Snowflake Data Warehouse' With Special Guest Kent GrazianoDrill to Detail Ep.69 'Looker, Tableau and Consolidation in the BI Industry' featuring Special Guests Tristan Handy and Stewart BrysonDrill to Detail Ep.89 'Firebolt and the History of Cloud Data Warehousing' with Special Guest Eldad FarkashDrill to Detail Ep.99 “Is the Modern Data Stack Dead?” with Special Guest Chris TabbOther show notes below:Gartner Makes it Official: The Age of Self-Service Is Upon UsRJMetrics Acquired by Magento Commerce, Pipeline is now StitchThe Startup Founders' Guide to Analytics - Tristan HandyAnalyzing Drill to Detail Podcast Stats using HexGoogle Completes Looker AcquisitionCommon PaperRittman Analytics : How We WorkDrill to Detail Ep.96 'Omni's Mission to Answer the First 100 Questions' with Special Guest Colin ZimaCoalesce : Start Free

Mark Rittman is joined by Izzy Miller to talk about Hex, a collaborative data platform that brings everyone together to explore, analyze, and share … and why the future of notebooks isn't just about notebooks.Hex website Public app gallery of example Hex projects .Dataframe SQL announcement Hex for Analytics EngineersTweet thread about why the python / sql debate is boring"The Sharing Gap"

Mark Rittman is joined by Izzy Miller to talk about Hex, a collaborative data platform that brings everyone together to explore, analyze, and share … and why the future of notebooks isn't just about notebooks.Hex website Public app gallery of example Hex projects .Dataframe SQL announcement Hex for Analytics EngineersTweet thread about why the python / sql debate is boring"The Sharing Gap"

We're joined on this episode of Drill to Detail by fellow Brightonian Daniel Perry-Reed from Measurelab, talking with Mark about the new Google Analytics 4 release and its role within the future Marketing Technology stack.From the wild west of data collection to conversion modellingThe sun is setting on Universal AnalyticsMeasureFest April 2022: The role of GA in the future MarTech stackEvent-Based Analytics (and BigQuery Export) comes to Google Analytics 4; How Does It Work… and What's the Catch?The Measurepod

We're joined on this episode of Drill to Detail by fellow Brightonian Daniel Perry-Reed from Measurelab, talking with Mark about the new Google Analytics 4 release and its role within the future Marketing Technology stack.From the wild west of data collection to conversion modellingThe sun is setting on Universal AnalyticsMeasureFest April 2022: The role of GA in the future MarTech stackEvent-Based Analytics (and BigQuery Export) comes to Google Analytics 4; How Does It Work… and What's the Catch?The Measurepod

Mark Rittman is joined in this very special episode by Colin Zima, ex-Head of Analytics at Looker and now co-founder of Omni, a new analytics startup looking to become the fastest way to ask the first 100 questions.Introducing Omni: The fastest way to turn SQL into intelligenceOmni Analytics Homepage

Mark Rittman is joined in this very special episode by Colin Zima, ex-Head of Analytics at Looker and now co-founder of Omni, a new analytics startup looking to become the fastest way to ask the first 100 questions.Introducing Omni: The fastest way to turn SQL into intelligenceOmni Analytics Homepage

Mark Rittman is joined in this episode by Peter Fishman to talk about Mozart Data, the modern data stack and the need to automate the role of the analytics engineer.MozartData websiteData Bites: A Virtual Lunch and Learn with Powered by Fivetran, Snowflake and Mozart Data Launch HN: Mozart Data (YC S20) – One-stop shop for a modern data pipeline

Mark Rittman is joined in this episode by Peter Fishman to talk about Mozart Data, the modern data stack and the need to automate the role of the analytics engineer.MozartData websiteData Bites: A Virtual Lunch and Learn with Powered by Fivetran, Snowflake and Mozart Data Launch HN: Mozart Data (YC S20) – One-stop shop for a modern data pipeline

Mark Rittman is joined by Eric Dodds to talk about Rudderstack's founding story and open-source roots, Segment compatibility and event-based pricing vs. MTUs and Rudderstack's "Warehouse-First" approach to building customer data platforms.Rudderstack's Data Stack : Deep Dive Introducing RudderStack Cloud: The Warehouse-First CDP for DevelopersRudderstack, Snowplow and Open-Source CDP Alternatives to SegmentHow Twilio is Shaping SegmentEvent-Based Analytics (and BigQuery Export) comes to Google Analytics 4; How Does It Work… and What's the Catch?Why (and How) Customer Data Warehouses are the New Customer Data PlatformWhy Take a Warehouse-First Approach to Analytics

Mark Rittman is joined by Eric Dodds to talk about Rudderstack's founding story and open-source roots, Segment compatibility and event-based pricing vs. MTUs and Rudderstack's "Warehouse-First" approach to building customer data platforms.Rudderstack's Data Stack : Deep Dive Introducing RudderStack Cloud: The Warehouse-First CDP for DevelopersRudderstack, Snowplow and Open-Source CDP Alternatives to SegmentHow Twilio is Shaping SegmentEvent-Based Analytics (and BigQuery Export) comes to Google Analytics 4; How Does It Work… and What's the Catch?Why (and How) Customer Data Warehouses are the New Customer Data PlatformWhy Take a Warehouse-First Approach to Analytics

In this first episode of a new series, Mark Rittman is joined by Katie Hindson to talk about Lightdash, a new open-source alternative to Looker that uses dbt as its metrics layer and semantic model.Lightdash.comWhat is the dbt Metrics Layer? Lightdash, Looker and dbt as the BI Tool Metrics Layer

In this first episode of a new series, Mark Rittman is joined by Katie Hindson to talk about Lightdash, a new open-source alternative to Looker that uses dbt as its metrics layer and semantic model.Lightdash.comWhat is the dbt Metrics Layer? Lightdash, Looker and dbt as the BI Tool Metrics Layer

We're joined on this episode of Drill to Detail by Dylan Baker and Josh Temple to talk about developing multi-layer modern data stack projects, Spectacles' recently released integration with dbt and what's now possible with their new public APIExtending Spectacles with API-Triggered RunsSynchronizing Looker and dbt™ with SpectaclesDrill to Detail Ep.82 'Looker Development, Automated Testing and Spectacles' with Special Guest Josh Temple Adding Looker Regression Tests to the dbtCloud CI/CD Test Pipeline using SpectaclesDrill to Detail Ep.67 'Thinking Probabilistically and Scaling-Out the Modern BI Stack' with Special Guest Dylan Baker

We're joined on this episode of Drill to Detail by Dylan Baker and Josh Temple to talk about developing multi-layer modern data stack projects, Spectacles' recently released integration with dbt and what's now possible with their new public APIExtending Spectacles with API-Triggered RunsSynchronizing Looker and dbt™ with SpectaclesDrill to Detail Ep.82 'Looker Development, Automated Testing and Spectacles' with Special Guest Josh Temple Adding Looker Regression Tests to the dbtCloud CI/CD Test Pipeline using SpectaclesDrill to Detail Ep.67 'Thinking Probabilistically and Scaling-Out the Modern BI Stack' with Special Guest Dylan Baker

Mark Rittman is joined in this episode by Nick Schrock, ex-Facebook Engineer and now Founder of Elementl to talk about GraphQL, data platform engineers and @dagsterio, a data orchestrator for machine learning, analytics, and ETL.Introducing Dagster Dagster homepage Elementl homepage Orchestrating dbt with Dagster Moving past Airflow: Why Dagster is the next-generation data orchestrator

Mark Rittman is joined in this episode by Nick Schrock, ex-Facebook Engineer and now Founder of Elementl to talk about GraphQL, data platform engineers and @dagsterio, a data orchestrator for machine learning, analytics, and ETL.Introducing Dagster Dagster homepage Elementl homepage Orchestrating dbt with Dagster Moving past Airflow: Why Dagster is the next-generation data orchestrator

Mark Rittman is joined in this episode by Michale Drogalis, Product Manager at Confluent to talk about the history of Apache Kafka and real-time stream processing, the origins of kSQL and kSQLdb and the rationale and use-cases addressed by these products.ksqldDB product homepage Introducing ksqlDB Blog PostKafka Streams vs. ksqlDB Blog Post

Mark Rittman is joined in this episode by Michale Drogalis, Product Manager at Confluent to talk about the history of Apache Kafka and real-time stream processing, the origins of kSQL and kSQLdb and the rationale and use-cases addressed by these products.ksqldDB product homepage Introducing ksqlDB Blog PostKafka Streams vs. ksqlDB Blog Post

Mark Rittman is joined by Eldad Farkash, Co-Founder and CEO at Firebolt to talk about SiSense and Panorama, the history of cloud data warehouses and how Firebolt's technology delivers query results 4-6000x faster than Snowflake, Redshift and AWS Athena.Snowflake's Co-Founder Marcin Żukowski Reflects On His Time At CWICentrum Wiskunde & Informatica & MonetDBEldad Farkash, inventor of In-Chip technology, takes top honors with IT Software (Individual) awardFirebolt Touts Massive Speedup in Cloud Data WarehouseWhy Firebolt?

Mark Rittman is joined by Eldad Farkash, Co-Founder and CEO at Firebolt to talk about SiSense and Panorama, the history of cloud data warehouses and how Firebolt's technology delivers query results 4-6000x faster than Snowflake, Redshift and AWS Athena.Snowflake's Co-Founder Marcin Żukowski Reflects On His Time At CWICentrum Wiskunde & Informatica & MonetDBEldad Farkash, inventor of In-Chip technology, takes top honors with IT Software (Individual) awardFirebolt Touts Massive Speedup in Cloud Data WarehouseWhy Firebolt?

Maxime Beauchemin returns to the Drill to Detail Podcast and joins Mark Rittman to talk about what's new with Apache Airflow 2.0, the origin story for Apache Superset and now Preset.io, why the future of business intelligence is open source and news on Marquez, a reference implementation of the OpenLineage open source metadata service for the collection, aggregation, and visualization of a data ecosystem's metadata sponsored by WeWork.The Rise of the Data EngineerDrill to Detail Ep.26 'Airflow, Superset & The Rise of the Data Engineer' with Special Guest Maxime BeaucheminApache Airflow 2.0 is here!Apache Superset is a modern data exploration and visualization platformThe Future of Business Intelligence is Open SourcePowerful, easy to use data exploration and visualization platform, powered by Apache Superset™Admunsen: Open source data discovery and metadata engineOpenLineageMarquez: Collect, aggregate, and visualize a data ecosystem's metadata

Maxime Beauchemin returns to the Drill to Detail Podcast and joins Mark Rittman to talk about what's new with Apache Airflow 2.0, the origin story for Apache Superset and now Preset.io, why the future of business intelligence is open source and news on Marquez, a reference implementation of the OpenLineage open source metadata service for the collection, aggregation, and visualization of a data ecosystem's metadata sponsored by WeWork.The Rise of the Data EngineerDrill to Detail Ep.26 'Airflow, Superset & The Rise of the Data Engineer' with Special Guest Maxime BeaucheminApache Airflow 2.0 is here!Apache Superset is a modern data exploration and visualization platformThe Future of Business Intelligence is Open SourcePowerful, easy to use data exploration and visualization platform, powered by Apache Superset™Admunsen: Open source data discovery and metadata engineOpenLineageMarquez: Collect, aggregate, and visualize a data ecosystem's metadata

Mark Rittman is joined in this episode by Jeff Pollock, Vice President Product Development for Fast Data at Oracle, to talk about the history of Oracle Data Integration from Warehouse Builder and Sunopsis to the move to the cloud and today's distributed “data mesh”, based around Oracle's fast data product, Oracle GoldenGate.Technology Brief : Dynamic Data Fabric and Trusted Data Mesh using the Oracle GoldenGate PlatformData Mesh Part 1: Future of Data Integration with a Deep Dive into GoldenGate, Kafka and SparkHow to Move Beyond a Monolithic Data Lake to a Distributed Data MeshAn Introduction to Real-Time Data IntegrationDrill to Detail Ep.22 'SnapLogic's Enterprise Integration Cloud' With Special Guest Craig Stewart

Mark Rittman is joined in this episode by Jeff Pollock, Vice President Product Development for Fast Data at Oracle, to talk about the history of Oracle Data Integration from Warehouse Builder and Sunopsis to the move to the cloud and today's distributed “data mesh”, based around Oracle's fast data product, Oracle GoldenGate.Technology Brief : Dynamic Data Fabric and Trusted Data Mesh using the Oracle GoldenGate PlatformData Mesh Part 1: Future of Data Integration with a Deep Dive into GoldenGate, Kafka and SparkHow to Move Beyond a Monolithic Data Lake to a Distributed Data MeshAn Introduction to Real-Time Data IntegrationDrill to Detail Ep.22 'SnapLogic's Enterprise Integration Cloud' With Special Guest Craig Stewart

Mark Rittman is joined by Tejas Manohar from Hightouch to talk about the concept of "reverse ETL", his journey from working on Segment's Personas product to co-founding Hightouch and his recent guest post on the Fivetran Blog, "Why Your Customer Data Platform Should Be the Data Warehouse".Why Your Customer Data Platform Should Be the Data Warehouse Hightouch Ushers In The Era Of Operational Analytics Hightouch homepage Customer 360 Data Warehousing and Sync to Hubspot using BigQuery, dbt, Looker and Hightouch Why (and How) Customer Data Warehouses are the New Customer Data Platform Drill to Detail Ep.76 'Segment, Ecosystems and Customer Data Platforms' with Special Guest Calvin French-Owen

Mark Rittman is joined by Tejas Manohar from Hightouch to talk about the concept of "reverse ETL", his journey from working on Segment's Personas product to co-founding Hightouch and his recent guest post on the Fivetran Blog, "Why Your Customer Data Platform Should Be the Data Warehouse".Why Your Customer Data Platform Should Be the Data Warehouse Hightouch Ushers In The Era Of Operational Analytics Hightouch homepage Customer 360 Data Warehousing and Sync to Hubspot using BigQuery, dbt, Looker and Hightouch Why (and How) Customer Data Warehouses are the New Customer Data Platform Drill to Detail Ep.76 'Segment, Ecosystems and Customer Data Platforms' with Special Guest Calvin French-Owen

The Drill to Detail Podcast returns for a new series with Mark joined by special guest Barr Moses to talk about data-driven customer success, data quality and the story behind her new data reliability startup Monte Carlo.Monte Carlo - Data reliability delivereddbt Data Source Freshness Delivering End-to-End Data Observability with Looker and Monte Carlo Data Observability: How to Build Your Own Anomaly Detectors Using SQLWhy Testing Your Data Is Insufficient

The Drill to Detail Podcast returns for a new series with Mark joined by special guest Barr Moses to talk about data-driven customer success, data quality and the story behind her new data reliability startup Monte Carlo.Monte Carlo - Data reliability delivereddbt Data Source Freshness Delivering End-to-End Data Observability with Looker and Monte Carlo Data Observability: How to Build Your Own Anomaly Detectors Using SQLWhy Testing Your Data Is Insufficient