[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-210958-en":3,"doc-seo-210958-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},210958,2336464648322,"Aria","https://ap-avatar.wpscdn.com/avatar/2200025388227c56fec?_k=1778556882303663488",6,"Technology","SED 1027 Transcript - Episode 1027","SED 1027 discusses how Sisu automatically surfaces useful insights from large, high-volume datasets inside companies, reducing reliance on manual analysts. The conversation explains how selecting a database column lets Sisu analyze records and detect trends and relationships with other columns, illustrated with purchase-price correlations. Peter Bailis shares Sisu’s origin in research on data-intensive systems such as MacroBase, including ideas about embedding machine learning to prioritize human attention, and discusses practical example metrics like conversion rate changes over time.","SED 1027 Transcript  \nEPISODE 1027  \n[INTRODUCTION]  \n[00:00:00] JM: A high volume of data can contain a high volume of useful information. That fact is well-understood by the software world. After all, we have already had the big data revolution, and the big data revolution had plenty of people fi nding lots of value in their large volumes of data. Unfortunately, it’s not a simple process to surface all that useful information from this high volume of data. There are certainly plenty of insights that we are not discovering from our mountains of data, and the typical way that we are still surfacing this data is with the help of a human analyst. A human analyst needs to understand the business, formulate a question and determine what metrics could reveal the answer to such a question, and this is the case is any domain where we’re looking at large volumes of data.  \nSisu is a system for automatically surfacing insights from large datasets within companies. The user of Sisu can select a database column that they’re interested in learning more about and Sisu will automatically analyze the records in the database to look for trends and relationships between that column and the other columns. For example, if I have a database of user purchases, including how much money those users spent on each purchase, I can ask Sisu to analyze the purchase price column and find what kinds of attributes correlate with a high purchase price. Perhaps there will be correlations such as age and city that I can use to understand where my customers live and how old they are if they’re going to buy expensive purchases. Sisu can automatically surface these correlations and display them to me and help me make better business decisions.  \nPeter Bailis is the CEO of Sisu Data and an assistant professor at Stanford. Peter returns to the show to give his perspective on the development of Sisu, which came out of his research on data-intensive systems including MacroBase, an analytic monitoring engine that prioritizes human attention. Sisu is an ambitious project and it’s a great example of the kinds of systems that can be built if you embed machine learning deep inside of a system.  \n[SPONSOR MESSAGE]  \n© 2020 Software Engineering Daily 1  \nSED 1027 Transcript  \n[00:02:29] JM: DigitalOcean makes infrastructure simple. I continue to use DigitalOcean because of the low friction and attention to user experience. DigitalOcean has kept the experience simple and I can spin up a server in less than a minute and get high quality performance for a low price. For an application that needs to scale, DigitalOcean has CPU optimized droplets, memory optimized droplets, managed databases, managed Kubernetes and many more products. DigitalOcean has the fl exibility to choose the right instance for the right workload and he could mix-and-match different confi gurations of CPU and RAM.  \nIf you get stuck, DigitalOcean has thousands of high-quality tutorials, responsive Q&A forumsand a customer team who treats customers respectfully. DigitalOcean lets developers focus on what they are [building. Visit do.co/sedaily and](building. Visit do.co/sedaily and) receive $100 in credit over 60 days. That $100 can be put towards hosting or infrastructure and that includes managed databases, a managed Kubernetes service and more.  \nIf you want to get started with Kubernetes, DigitalOcean is a great place to go. You can use your $100 to start building your distributed system and you can get that $100 in credit for free at [do.co/sedaily](do.co/sedaily).  \nThank you to DigitalOcean for being a sponsor of Software Engineering Daily.  \n[INTERVIEW]  \n[00:04:06] JM: Sisu is the company that you’re building. It’s a system for surfacing metrics that are emerging from large datasets. Give an example of a metric that Sisu would surface.  \n[00:04:18] PB: Yeah. One public example I can talk about, Samsung, which is a customer, tracks device upgrades. They release a number of new phones every year. It’s hi","cbCaifdFVpnGJxgG","https://ap.wps.com/l/cbCaifdFVpnGJxgG","pdf",181625,1,25,"English","en",105,"# Introduction\n# Sponsor Message\n# Interview","[{\"question\":\"What problem does Sisu aim to solve from large datasets?\",\"answer\":\"Sisu focuses on making it easier to surface useful insights from high-volume data by automatically analyzing trends and relationships, instead of relying on manual human analysts.\"},{\"question\":\"How does Sisu work when a user selects a column of interest?\",\"answer\":\"The user chooses a database column, and Sisu analyzes records to find correlations and relationships between that column and other columns, then displays the discovered patterns.\"},{\"question\":\"What is MacroBase and how does it relate to Sisu?\",\"answer\":\"MacroBase is an analytic monitoring engine that prioritizes human attention, and Sisu is described as emerging from Bailis’s earlier research and development around data-intensive systems like MacroBase.\"}]","SED 1027 Transcript - Episode 1027 | PDF",1788676661,63,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"sed-1027-transcript-episode-1027","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/technology/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/sed-1027-transcript-episode-1027/210958/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-09-06",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What problem does Sisu aim to solve from large datasets?","Question",{"text":75,"@type":76},"Sisu focuses on making it easier to surface useful insights from high-volume data by automatically analyzing trends and relationships, instead of relying on manual human analysts.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does Sisu work when a user selects a column of interest?",{"text":80,"@type":76},"The user chooses a database column, and Sisu analyzes records to find correlations and relationships between that column and other columns, then displays the discovered patterns.",{"name":82,"@type":73,"acceptedAnswer":83},"What is MacroBase and how does it relate to Sisu?",{"text":84,"@type":76},"MacroBase is an analytic monitoring engine that prioritizes human attention, and Sisu is described as emerging from Bailis’s earlier research and development around data-intensive systems like MacroBase.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,113,118,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":111,"slug":112},50,"technology",{"id":114,"doc_module":4,"doc_module_name":46,"category_name":115,"show_sort_weight":116,"slug":117},7,"Healthcare",40,"healthcare",{"id":119,"doc_module":4,"doc_module_name":46,"category_name":120,"show_sort_weight":121,"slug":122},8,"Research & Report",30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]