Mark Rittman is joined in this episode by Taylor Brown from Fivetran to talk about middleware for SaaS data, their focus on integrations with SaaS vendors and how this differentiates their offering, his thoughts on packaged analytic applications announced at the recent Looker Join conference ... and where the name "Fivetran" came from.
In this episode Mark is joined by ex-colleague and now Technical Advisor to Gluent, Michael Rainey, to talk about hybrid platforms and Gluent's new cloud offload capability, the Hadoop market in-general and his thoughts on data engineering and the recently-released AWS Glue data integration service.
- Gluent Cloud Sync – Sharing Data to Enable Analytics in the Cloud
- Gluent Case Studies
- Gluent Data Platform Overview
- Amazon Glue
- The Rise of the Data Engineer and The Downfall of the Data Engineer by Maxime Beauchemin
- Drill to Detail Ep.26 'Airflow, Superset & The Rise of the Data Engineer' with Special Guest Maxime Beauchemin
- Drill to Detail Ep.12 'Gluent and the New World of Hybrid Data' with Special Guest Tanel Poder
Drill to Detail returns for a new season with special guest Jean-Pierre Dijcks, to talk about Oracle's Big Data Strategy now and in the past, thoughts on distributed query and storage in the cloud, and previewing themes and announcements to look forward to at the upcoming Oracle Open World 2017 event running in San Francisco next month
Mark Rittman is joined in this Summer Special episode by none other than Cameron Lackpour, Essbase expert and Oracle ACE Director, to talk about why and how Essbase won the OLAP wars, how Essbase Server works and the role it now plays in Oracle Analytics Cloud and his involvement with user groups over the years. In this specially extended edition he also gives us his reading recommendations for while you're at the pool or, as he will be, out camping, and he also shares his predictions for what we'll hear from Oracle and the analytics industry when he, and Drill to Detail, returns in the autumn after a well-deserved summer break.
Mark Rittman is joined by Industry Analyst Mark Madsen to talk about marketing analytics and the rise of the omni-channel consumer, the use of AI in analytics and personalization and what this all means for brands, for advertisers and for marketers.
In this episode Mark is joined by Jake Stein to talk about Stitch Data and their ETL tool for data engineers, the new open-source project Singer and his experiences building a software startup that both partners and competes with the big cloud platform vendors.
- Stitch Data
- Singer: Simple, Composable Open-Source ETL
- Setting the Data Strategy for Your Growing Organization
- The State of Data Engineering
- The State of Data Science
- Why our ETL Tool Doesn't Do Transformations
- Airflow: a workflow management platform
- Goodbye RJMetrics, Hello Fishtown Analytics
- Engineers Shouldn’t Write ETL: A Guide to Building a High Functioning Data Science Department
Mark Rittman is joined by Donald Farmer to talk about his work at Microsoft on SQL Server Analysis Services and Integration Services, why he moved to Qlik and the challenges of evolving a BI product strategy from focusing on desktops to focusing on the enterprise, and some advice for customers, software vendors and partners working with data and analytics tools.
In this episode Mark is joined by Tristan Handy from Fishtown Analytics to talk about building-out analytics functions in high-growth startups, and three related blog posts he wrote on this topic.
Mark is joined by Qubit colleague Will Browne to talk about a recent academic paper co-authored with Mike Swarbrick Jones on conversion optimisation techniques in the eCommerce industry. Using analytics and statistical analysis On 20 billion "user journeys" recorded in Qubit's Google Cloud Platform-hosted Customer Data Store this paper compares techniques using data and machine learning to those based on traditional sales techniques to see whether data trumps emotion ... or both have their place.
Mark is joined by returning special guest Dan McClary to talk about data modeling and database design on distributed query engines such as Google BigQuery, the underlying Dremel technology and columnar storage format that enables this cloud distributed data warehouse-as-a-service platform to scale to petabyte-size tables spanning tens of thousands of servers, and techniques to optimize BigQuery table joins using nested fields, table partitioning and denormalization.
- Dremel: Interactive Analysis of Web-Scale Datasets
- BigQuery under the hood
- Inside Capacitor, BigQuery’s next-generation columnar storage format
- Drill To Detail Ep.2. 'Future Of SQL On Hadoop', With Special Guest Dan McClary
- Google BigQuery, Large Table Joins and How Nested, Repeated Values and the Capacitor Storage Format (and Looker) Saves the Day
Oracle's Jack Berkowitz joins Mark Rittman to talk about a new category of continuously adapting, self-learning applications being built-out by Oracle that use machine learning together with enterprise and third-party data to create a new generation of intelligent HR, CX, SCM and ERP SaaS apps.
Stewart Bryson returns to the show to join Mark Rittman to discuss new-world BI and data warehousing development using Google BigQuery and Amazon Athena, Apache Kafka and StreamSets, and talks about his experiences with Looker, the cloud-native BI tool that brings semantic modeling and modern development practices to the world of business intelligence.
Mark Rittman is joined in this episode by Independent Consultant Adrian Ward to talk about Oracle Business Analytics, Data Visualization, the BI Applications and his new book on Oracle Business Intelligence 12c.
Mark Rittman is joined by Gwen Shapira from Confluent to talk about Apache Kafka, streaming data integration and how it differs from batch-based, GUI-developed ETL development, the problem with architects, exactly-once processing and how data governance is coming to Kafka development with Confluent's new schema registry server.
Mark Rittman is joined by Maxime Beauchemin to talk about analytics and data integration at Airbnb, the Apache Airflow and Superset open-source projects he helped launch and now works with day-to-day at Airbnb , and his recent Medium article on "The Rise of the Data Engineer".
- "The Rise of the Data Engineer" blog by Maxime Beauchemin
- Apache Airflow
- Airbnb Superset
- "Engineers Shouldn’t Write ETL: A Guide to Building a High Functioning Data Science Department" blog by Jeff Magnusson
Mark Rittman is joined by Timo Elliott, originally of Business Objects and now Innovation Evangelist for SAP, to talk about the origins of self-service BI with Business Objects' innovative "Universe" and the role analytics now plays within SAP; why analytics is the most important function within your organization and why the vast majority of analytics is still reporting (which isn't so bad); and the role AI and other innovations will play in analytics going in the future.
Mark Rittman is joined by Kevin Madden and Josh Feingold to talk about graph + spatial analytics, Tom Sawyer Software ... and why a tweet about a certain WiFi kettle incident went viral last October.
- Visualizing When a Tweet Goes Viral
- How a Tweet Went Viral - BIWA Summit 2017
- English man spends 11 hours trying to make cup of tea with Wi-Fi kettle (The Guardian)
- The iKettle, the Eleven-Hour Struggle to Make a Cup of Tea, and Why It Was All About Data, Analytics and Connecting Things Together
- Tom Sawyer Software Perspectives
Mark Rittman is joined by Daniel Mintz from Looker to talk about BI and analytics on Google BigQuery, data modelling on the new generation of cloud-based distributed-data warehousing platforms, and Looker's re-introduction of semantic models to big data analytics developers.
Mark Rittman is joined by Craig Stewart to talk about application and data integration, ODI and Sunopsis, SnapLogic's approach to hybrid on-premise/cloud integration and the rise of data preparation and dataflow-based cloud integration tools.
Mark Rittman is joined by Independent Consultant Chris Webb to talk about MDX & DAX, MSAS and SQL SQL Server and the fall ... and rise, of Microsoft BI