{"id":12941,"date":"2022-03-22T00:00:00","date_gmt":"2022-03-22T00:00:00","guid":{"rendered":"https:\/\/inapps.net\/update-rudderstack-how-pachyderm-pipelines-help-parse-customer-event-data\/"},"modified":"2022-05-19T02:42:40","modified_gmt":"2022-05-19T02:42:40","slug":"update-rudderstack-how-pachyderm-pipelines-help-parse-customer-event-data","status":"publish","type":"post","link":"https:\/\/www.inapps.net\/update-rudderstack-how-pachyderm-pipelines-help-parse-customer-event-data\/","title":{"rendered":"Update Rudderstack: How Pachyderm Pipelines Help Parse Customer Event Data"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_46 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\">Main Contents:<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"ez-toc-toggle-icon-1\"><label for=\"item-67411969ace1c\" aria-label=\"Table of Content\"><span style=\"display: flex;align-items: center;width: 35px;height: 30px;justify-content: center;direction:ltr;\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/label><input type=\"checkbox\" id=\"item-67411969ace1c\"><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.inapps.net\/update-rudderstack-how-pachyderm-pipelines-help-parse-customer-event-data\/#Read_more_about_Rudderstack_How_Pachyderm_Pipelines_Help_Parse_Customer_Event_Data_at_Wikipedia\" title=\"Read more about Rudderstack: How Pachyderm Pipelines Help Parse Customer Event Data at Wikipedia\">Read more about Rudderstack: How Pachyderm Pipelines Help Parse Customer Event Data at Wikipedia<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.inapps.net\/update-rudderstack-how-pachyderm-pipelines-help-parse-customer-event-data\/#What_Is_Pachyderm\" title=\"What Is Pachyderm?\">What Is Pachyderm?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.inapps.net\/update-rudderstack-how-pachyderm-pipelines-help-parse-customer-event-data\/#How_Pachyderm_Uses_Its_Data\" title=\"How Pachyderm Uses Its Data\">How Pachyderm Uses Its Data<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.inapps.net\/update-rudderstack-how-pachyderm-pipelines-help-parse-customer-event-data\/#Pachyderms_Customer_Data_Stack\" title=\"Pachyderm\u2019s Customer Data Stack\">Pachyderm\u2019s Customer Data Stack<\/a><ul class='ez-toc-list-level-3'><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.inapps.net\/update-rudderstack-how-pachyderm-pipelines-help-parse-customer-event-data\/#How_Data_Flows_Through_the_Pachyderm_Stack\" title=\"How Data Flows Through the Pachyderm Stack\">How Data Flows Through the Pachyderm Stack<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.inapps.net\/update-rudderstack-how-pachyderm-pipelines-help-parse-customer-event-data\/#Data_Collection\" title=\"Data Collection\">Data Collection<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.inapps.net\/update-rudderstack-how-pachyderm-pipelines-help-parse-customer-event-data\/#Data_Streaming_and_Warehousing\" title=\"Data Streaming and Warehousing\">Data Streaming and Warehousing<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.inapps.net\/update-rudderstack-how-pachyderm-pipelines-help-parse-customer-event-data\/#Data_from_Its_SaaS_Platform_and_Cloud_Tools\" title=\"Data from Its SaaS Platform and Cloud Tools\">Data from Its SaaS Platform and Cloud Tools<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.inapps.net\/update-rudderstack-how-pachyderm-pipelines-help-parse-customer-event-data\/#Data_Transformation_and_Business_Intelligence\" title=\"Data Transformation and Business Intelligence\">Data Transformation and Business Intelligence<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.inapps.net\/update-rudderstack-how-pachyderm-pipelines-help-parse-customer-event-data\/#Data_Activation_Use-Cases\" title=\"Data Activation Use-Cases\">Data Activation Use-Cases<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.inapps.net\/update-rudderstack-how-pachyderm-pipelines-help-parse-customer-event-data\/#Lead_Qualification\" title=\"Lead Qualification\">Lead Qualification<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.inapps.net\/update-rudderstack-how-pachyderm-pipelines-help-parse-customer-event-data\/#Customer_Journey_and_Behavior_Analysis\" title=\"Customer Journey and Behavior Analysis\">Customer Journey and Behavior Analysis<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/www.inapps.net\/update-rudderstack-how-pachyderm-pipelines-help-parse-customer-event-data\/#Simplified_Data_Access_and_No_Data_Silos\" title=\"Simplified Data Access and No Data Silos\">Simplified Data Access and No Data Silos<\/a><\/li><\/ul><\/nav><\/div>\n<p>Rudderstack: How Pachyderm Pipelines Help Parse Customer Event Data is an article under the topic <a href=\"https:\/\/inapps.net\/category\/news\/data-science\/\" target=\"_blank\" rel=\"noopener\">Data Science<\/a> Many of you are most interested in today !! Today, let&#8217;s <a href=\"https:\/\/inapps.net\/\" target=\"_blank\" rel=\"noopener\">InApps.net<\/a> learn Rudderstack: How Pachyderm Pipelines Help Parse Customer Event Data in today&#8217;s post !<br \/>\n<\/br><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Read_more_about_Rudderstack_How_Pachyderm_Pipelines_Help_Parse_Customer_Event_Data_at_Wikipedia\"><\/span>Read more about Rudderstack: How Pachyderm Pipelines Help Parse Customer Event Data at Wikipedia<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><\/br><br \/>\nYou can find content about <a href=\"https:\/\/en.wikipedia.org\/w\/index.php?search=Rudderstack: How Pachyderm Pipelines Help Parse Customer Event Data\" target=\"_blank\" rel=\"nofollow noopener\">Rudderstack: How Pachyderm Pipelines Help Parse Customer Event Data from the Wikipedia website<\/a><br \/>\n<\/br><\/p>\n<div class=\"post-content\">\n<p><span class=\"sponsor-disclosure\">RudderStack sponsored this post.<\/span><\/p>\n<p>This post explores the customer data stack of business partner Pachyderm, which offers a Kubernetes-based ETL (extract, transform, load) tool of the same name. We\u2019ll show how Pachyderm leverages real-time customer event data across different sources, to gain deeper insights into user behavior in its product and optimize the UX to increase customer adoption.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"What_Is_Pachyderm\"><\/span>What Is Pachyderm?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<div class=\"infoBlockImageBlock\" style=\"\">\n<img decoding=\"async\" class=\" lazy infoBlockImage\" src=\"data:image\/svg+xml,%3Csvg%20xmlns='http:\/\/www.w3.org\/2000\/svg'%20viewBox='0%200%200%200'%3E%3C\/svg%3E\" data-src=\"https:\/\/cdn.thenewstack.io\/media\/2021\/02\/9c8cf252-image1.jpg\" style=\"border-radius: 50%\">\n<\/div>\n<div class=\"infoBlockTextBlock\">\n<div class=\"infoBlockTitle\" style=\"\">Amey Varangaonkar<\/div>\n<div class=\"infoBlockText\">Amey is a Content Manager at RudderStack. He takes keen interest in Data Science, Content and Product Marketing, Gaming, and Music.<\/div>\n<\/div>\n<p>Pachyderm was designed to make building and managing end-to-end ML\/AI pipelines easier, regardless of their size and complexity. With Pachyderm, you can track your data lineage and bring together version control for your data with the tools, languages, and frameworks of your choice, to build scalable data science pipelines.<\/p>\n<p>With Pachyderm, there are three easy ways to get up and running with your data science pipelines. You can either deploy Pachyderm in your local environment, on your favorite cloud provider, or use the company\u2019s hosted and fully-managed SaaS platform: Pachyderm Hub.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"How_Pachyderm_Uses_Its_Data\"><\/span>How Pachyderm Uses Its Data<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Being a modern data science platform, all the teams within Pachyderm make extensive use of data for all their operations and KPIs. The customer team at Pachyderm uses their customer event data \u2014 collected, routed, and warehoused with RudderStack Event Stream \u2014 to understand user behavior and product usage patterns better. They also use this data to drive effective inbound and outbound marketing campaigns.<\/p>\n<p>Pachyderm uses product usage data \u2014 again collected, routed, and warehoused with RudderStack Event Stream \u2014 from within the Pachyderm Hub, its SaaS platform, for product analytics and optimizing the platform. They then leverage their event stream and product usage data along with non-event data from their cloud tools like Salesforce, HubSpot, Zendesk, Slack, and Google Analytics \u2014 collected and warehoused with tools like Fivetran and Stitch.<\/p>\n<div class=\"sponsor_note \" data-url=\"https:\/\/rudderstack.com\/?utm_content=sponsormodule\">\n<div class=\"note-heading\">\n<strong>Sponsor Note<\/strong>\n<\/div>\n<p><img decoding=\"async\" src=\"data:image\/svg+xml,%3Csvg%20xmlns='http:\/\/www.w3.org\/2000\/svg'%20viewBox='0%200%200%200'%3E%3C\/svg%3E\" data-src=\"https:\/\/cdn.thenewstack.io\/media\/2020\/12\/b8d53866-rudderstack@2x.png\" class=\" lazy alignright logo2x\" alt=\"sponsor logo\"><\/p>\n<div class=\"note-content \">\nRudderStack\u00a0is the smart customer data pipeline. Easily build pipelines connecting your whole customer data stack, then make them smarter with enriched data from your warehouse for identity stitching and other advanced use cases. Start building smarter customer data pipelines today with\u00a0RudderStack.\n<\/div>\n<\/div>\n<p>With a unique combination of customer event data, product usage data, and data from customer tools, along with modern data storage and processing tools, Pachyderm has set up a robust, powerful stack to leverage unlimited data for all activation use-cases.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Pachyderms_Customer_Data_Stack\"><\/span>Pachyderm\u2019s Customer Data Stack<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li><strong>Data Collection and Synchronization: <\/strong>RudderStack SDKs, RudderStack Event Stream, RudderStack Warehouse Actions, Stitch, Fivetran<\/li>\n<li><strong>Data Warehouse: <\/strong>Google BigQuery<\/li>\n<li><strong>Data Processing and Business Intelligence: <\/strong>Sigma Computing<\/li>\n<li><strong>Cloud Toolset for Activation Use-cases: <\/strong>HubSpot, Google Analytics, Zendesk, Salesforce, Outreach.io<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"How_Data_Flows_Through_the_Pachyderm_Stack\"><\/span>How Data Flows Through the Pachyderm Stack<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Here\u2019s a visual representation of the data flow through Pachyderm\u2019s data stack:<\/p>\n<h3><img decoding=\"async\" loading=\"lazy\" class=\" lazy wp-image-14851544 size-full aligncenter\" src=\"data:image\/svg+xml,%3Csvg%20xmlns='http:\/\/www.w3.org\/2000\/svg'%20viewBox='0%200%201920%201080'%3E%3C\/svg%3E\" data-src=\"https:\/\/cdn.thenewstack.io\/media\/2021\/02\/d55190b1-image2.png\" alt=\"\" width=\"1920\" height=\"1080\"><\/h3>\n<h3><span class=\"ez-toc-section\" id=\"Data_Collection\"><\/span>Data Collection<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Pachyderm generates hundreds of gigabytes of data through tracking user interactions and data from the cloud sources. All of this data resides in the customer data lake, which is built on top of their data warehouse, Google BigQuery.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Data_Streaming_and_Warehousing\"><\/span>Data Streaming and Warehousing<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>The teams at Pachyderm mainly use customer event data to track user journeys and trigger various downstream use-cases (such as marketing campaigns). They use RudderStack Event Stream to route event data to downstream destinations such as HubSpot and Google Analytics, as well as their data warehouse Google BigQuery. RudderStack\u2019s seamless integration with these platforms allows them to stream near real-time events for their activation use-cases.<\/p>\n<p>To track and capture event data on their web app, Pachyderm uses the RudderStack JavaScript SDK. For server-side capturing, it uses the RudderStack Go SDK. In addition to the SDKs, Pachyderm also uses the RudderStack HTTP API tracking for seamless recording and capturing of customer events.<\/p>\n<blockquote>\n<p>\u201cRudderStack has given us better access to our data. Our data was siloed in cloud sources. Now we have it all in a warehouse, making it accessible to everyone.\u201d<\/p>\n<\/blockquote>\n<p class=\"quote-attribution\">\u2014 Dan Baker, Marketing Ops Manager, Pachyderm<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Data_from_Its_SaaS_Platform_and_Cloud_Tools\"><\/span>Data from Its SaaS Platform and Cloud Tools<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Apart from customer events, Pachyderm collects data from Pachyderm Hub, its SaaS platform. This data mainly includes the customers\u2019 workspace usage details and other metrics related to the platform usage and performance. Pachyderm clusters (which host both their open-source and enterprise offerings) also generate a large chunk of the workspace usage data. This data is processed by Webhook Relay and streamed directly into the company\u2019s data warehouse.<\/p>\n<blockquote>\n<p>\u201cWith RudderStack, there are fewer moving pieces. Having RudderStack means that we don\u2019t have to have a bunch of manual processes or APIs that we have to build for and support ourselves.\u201d<\/p>\n<\/blockquote>\n<p class=\"quote-attribution\">\u2014 Dan Baker, Marketing Ops Manager, Pachyderm<\/p>\n<p>Pachyderm also pulls different types of data from a variety of cloud sources. Some of these include marketing data from HubSpot, customer and CRM data from tools like Salesforce and Zendesk, messaging data from Slack, advertisement and campaign data from tools like Google Ads, as well as insights from Google Analytics. To collect this data, Pachyderm uses popular ETL tools like Fivetran and Stitch.<\/p>\n<p>All of this information is useful when it comes to stitching together comprehensive customer profiles and understanding Pachyderm\u2019s in-product behavior.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Data_Transformation_and_Business_Intelligence\"><\/span>Data Transformation and Business Intelligence<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Once the data is in its data warehouse, Pachyderm uses Sigma \u2014 a warehouse-focused analytics and BI tool \u2014 for internal reporting and metrics tracking. Beyond general BI, it also uses Sigma to build queries, join tables, and aggregate the data stored from various sources, to give a single source of truth for customers.<\/p>\n<p>This transformed data is materialized in BigQuery for storage. The software then use RudderStack Warehouse Actions to send this transformed data from the warehouse to downstream destinations like HubSpot.<\/p>\n<blockquote>\n<p>\u201cWe already have a bunch of uses for Warehouse Actions, and we\u2019re only at the tip of the iceberg. Our future plans involve getting more data insights out of the warehouse and Warehouse Actions will continue to be our go-to solution for this.\u201d<\/p>\n<\/blockquote>\n<p class=\"quote-attribution\">\u2014 Dan Baker, Marketing Ops Manager, Pachyderm<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Data_Activation_Use-Cases\"><\/span>Data Activation Use-Cases<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>The way Pachyderm uses transformed data for the activation use-cases is quite interesting. All the customer event data and data coming from the apps and systems is primarily used for lead qualification and analyzing customer journeys and behavior.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Lead_Qualification\"><\/span>Lead Qualification<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>When a user first signs up on Pachyderm, the first course of action suggested is to create a workspace. Pachyderm\u2019s customer team encourages this action with drip emails. Once the user has created a workspace, an event is sent from the application backend to their data warehouse.<\/p>\n<p>The team then uses Sigma to determine the total number of workspaces created and workspaces created since the last run, and materialize this data on the data warehouse. This information is then sent back to HubSpot with RudderStack Warehouse Actions. Once in HubSpot \u2014 the inbound lead system \u2014 this data is synced with Salesforce \u2014 the outbound lead system. After the behavioral data from the application has made its way into their CRM, they use Outreach.io to drive their personalized messaging and email campaigns, and (in this example) they stop sending drip emails to a user that has created a workspace.<\/p>\n<blockquote>\n<p>\u201cGetting aggregated event data into HubSpot and Salesforce is key for our Sales team to be able to effectively communicate with our customers.\u201d<\/p>\n<\/blockquote>\n<p class=\"quote-attribution\">\u2014 Dan Baker, Marketing Ops Manager, Pachyderm<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Customer_Journey_and_Behavior_Analysis\"><\/span>Customer Journey and Behavior Analysis<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>With event data captured across various customer touchpoints, the teams at Pachyderm can now understand their customer\u2019s product journey and pinpoint any issues. They also get deeper insights into how their users are using the platform and optimize those specific aspects of the product to improve their customer experience.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Simplified_Data_Access_and_No_Data_Silos\"><\/span>Simplified Data Access and No Data Silos<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Before incorporating RudderStack in their customer data stack, the team at Pachyderm had to do a lot of plumbing in HubSpot to move the data around the data warehouse. This, in turn, created a lot of data silos. They looked at other customer data platforms to solve these problems, but the cost was unjustifiable given what they were getting in return.<\/p>\n<p>With RudderStack now a core component of their customer data stack, Pachyderm can get all the event data into a centralized location \u2014 the data warehouse \u2014 to be used efficiently for analytics. In addition, RudderStack Warehouse Actions sends insights from the analysis to downstream tools for lead qualification and personalized marketing.<\/p>\n<p class=\"attribution\">Feature image via Pixabay.<\/p>\n<\/div>\n<p><\/br><br \/>\nSource: InApps.net<\/p>\n\n\n<div class=\"kk-star-ratings kksr-auto kksr-align-right kksr-valign-bottom\"\n data-payload='{&quot;align&quot;:&quot;right&quot;,&quot;id&quot;:&quot;12941&quot;,&quot;slug&quot;:&quot;default&quot;,&quot;valign&quot;:&quot;bottom&quot;,&quot;ignore&quot;:&quot;&quot;,&quot;reference&quot;:&quot;auto&quot;,&quot;class&quot;:&quot;&quot;,&quot;count&quot;:&quot;0&quot;,&quot;legendonly&quot;:&quot;&quot;,&quot;readonly&quot;:&quot;&quot;,&quot;score&quot;:&quot;0&quot;,&quot;starsonly&quot;:&quot;&quot;,&quot;best&quot;:&quot;5&quot;,&quot;gap&quot;:&quot;5&quot;,&quot;greet&quot;:&quot;Rate this post&quot;,&quot;legend&quot;:&quot;0\\\/5 - (0 votes)&quot;,&quot;size&quot;:&quot;24&quot;,&quot;title&quot;:&quot;Update Rudderstack: How Pachyderm Pipelines Help Parse Customer Event Data&quot;,&quot;width&quot;:&quot;0&quot;,&quot;_legend&quot;:&quot;{score}\\\/{best} - ({count} {votes})&quot;,&quot;font_factor&quot;:&quot;1.25&quot;}'>\n \n<div class=\"kksr-stars\">\n \n<div class=\"kksr-stars-inactive\">\n <div class=\"kksr-star\" data-star=\"1\" style=\"padding-right: 5px\">\n \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n <\/div>\n <div class=\"kksr-star\" data-star=\"2\" style=\"padding-right: 5px\">\n \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n <\/div>\n <div class=\"kksr-star\" data-star=\"3\" style=\"padding-right: 5px\">\n \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n <\/div>\n <div class=\"kksr-star\" data-star=\"4\" style=\"padding-right: 5px\">\n \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n <\/div>\n <div class=\"kksr-star\" data-star=\"5\" style=\"padding-right: 5px\">\n \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n <\/div>\n <\/div>\n \n<div class=\"kksr-stars-active\" style=\"width: 0px;\">\n <div class=\"kksr-star\" style=\"padding-right: 5px\">\n \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n <\/div>\n <div class=\"kksr-star\" style=\"padding-right: 5px\">\n \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n <\/div>\n <div class=\"kksr-star\" style=\"padding-right: 5px\">\n \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n <\/div>\n <div class=\"kksr-star\" style=\"padding-right: 5px\">\n \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n <\/div>\n <div class=\"kksr-star\" style=\"padding-right: 5px\">\n \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n <\/div>\n <\/div>\n<\/div>\n \n\n<div class=\"kksr-legend\" style=\"font-size: 19.2px;\">\n <span class=\"kksr-muted\">Rate this post<\/span>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"<p>Rudderstack: How Pachyderm Pipelines Help Parse Customer Event Data is an article under the topic Data Science Many of you are most interested in today !! Today,&#8230;<\/p>\n","protected":false},"author":19,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"inline_featured_image":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[129,1],"tags":[],"class_list":["post-12941","post","type-post","status-publish","format-standard","hentry","category-data-science","category-tech-news"],"acf":[],"yoast_head":"\n<title>Update Rudderstack: How Pachyderm Pipelines Help Parse Customer Event Data - InApps<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.inapps.net\/update-rudderstack-how-pachyderm-pipelines-help-parse-customer-event-data\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Update Rudderstack: How Pachyderm Pipelines Help Parse Customer Event Data - InApps\" \/>\n<meta property=\"og:description\" content=\"Rudderstack: How Pachyderm Pipelines Help Parse Customer Event Data is an article under the topic Data Science Many of you are most interested in today !! 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