Mark Rittman is joined each episode by a special guest from the world of business intelligence, analytics and big data.
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 Airbnb Superset open-source projects, and his recent Medium article on "The Rise of the Data Engineer"
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 goes viral
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 Server and the fall ... and rise, of Microsoft BI
Mark Rittman is joined in this episode by MapR's Tugdall Grall to talk about MapR's platform differentation and relationship with open-source Hadoop, scaling and streaming, microservices, and MapR's platform strategy around big data workloads in the cloud.
Mark Rittman is joined by Elastic's Mark Walkom to talk about Elasticsearch, Kibana, Logstash and the Elastic Stack; business models built-around an open-source software core; and their move into cloud services with Elastic Cloud
Mark Rittman is joined by Vasu Murthy, Oracle's Senior Director for Product Management of Oracle Business Analytics to talk about what's new with OBIEE and Oracle Data Visualization and the recently released Oracle Analytics Cloud, a dive into the technical architecture of these new additions to Oracle's BI platform, and Oracle's vision for hybrid on-prem/cloud analytics.
Mark Rittman is joined by Gartner analyst and ex-Oracle Database Cloud Service PM Rick Greenwald to talk about IT’s continuing (and essential!) role in corporate BI&DW deployments and the debate around Mode1 vs. Mode2 Analytics, how we got here, and the future of data warehousing database platforms as we move into the cloud.
Mark Rittman is joined by Alex Olivier from Qubit to talk about their platform journey from on-premise Hadoop to petabytes of data running in Google Cloud Platform, using Google Cloud Dataflow (aka Apache Beam), Google PubSub and Google BigQuery along with machine learning and analytics to deliver personalisation at-scale for digital retailers around the world.
Mark Rittman is joined in this episode by Cindi Howson to talk about Modern BI and last year's Gartner BI & Analytics Magic Quadrant, the rise of self-service BI and IT's new role as enabler rather than owner, CIO priorities around BI & Analytics ... and, is the BICC dead?
Mark Rittman is joined in this Christmas & New Year special episode by none-other than Robin Moffatt, head of R&D at Rittman Mead and an old colleague from my consulting days, to talk about his experiences with Amazon Elastic MapReduce (EMR) for BI + Analytics and how "the devil's in the detail", and to hear his take on what happened in the BI and analytics world in 2016 and what to look out for in 2017.
Mark Rittman is joined by MapR's Neeraja Rentachintala to talk about Apache Drill, Apache Arrow, MapR-DB, extending Hadoop-based data discovery to self-describing file formats and NoSQL databases, and why MapR backed Drill as their strategic SQL-on-Hadoop platform technology.
Mark Rittman is joined by Gluent's Tanel Poder to talk about Hadoop, Gluent Data Platform, the coming of the hybrid world and how Hadoop will evolve as it moves into the cloud.
Mark Rittman is joined by Graham Spicer to talk about BI past, present and future including the history of Oracle OLAP, running and owning a consulting business over 30 years of changes in the industry, what's hot on the market today, and what skills and techniques are still relevant as we adopt big data products and new methods of analysis
Mark Rittman is joined once more by Stewart Bryson, talking about Oracle's recent reboot of it's cloud big data platform at Oracle Openworld 2016, thoughts on DataFlowML and comparisons with Google's Cloud DataFlow and Amazon Kinesis, and data storytelling with Oracle Data Visualisation Desktop 2.0
Mark Rittman is joined by StreamSets' Pat Patterson, talking about data in motion and doing it at scale, the story behind StreamSets and the problem of data drift, and the challenges involved in managing dataflows at scale as a continuous operation
Mark Rittman is joined by Jen Underwood to discuss the aftermath of the Gartner BI&A Magic Quadrant 2016 and the rise of self-service, Mode-2 analytics; innovation in predictive analytics and data preparation tools, and how the big data cloud vendors are differentiating themselves (or not)
Mark is joined by Cloudera's Mark Grover to talk about his work with Apache Spark and Apache Spot, and the book "Hadoop Application Architectures" co-authored with Gwen Shapira, Jonathan Seidman and Ted Malaska
Mark Rittman is joined by special guest Paul Sonderegger, Oracle's Big Data Strategist, to talk about Data Capital and the economic impact of big data
In this episode Mark Rittman is joined by Kent Graziano to answer the questions "Is data modeling now dead", and "is SnowflakeDB the future of analytic data engines in the cloud?" Better Data Modeling: An Introduction to Agile Data Engineering Using Data Vault 2.0 Better Data Modeling: Tips for Enhancing Your Use of Oracle SQL Developer Data Modeler Kent Graziano Blog Building a Scalable Data Warehouse with Data Vault 2.0 Snowflake Computing Gartner Magic Quadrant for Business Intelligence and A...
Mark Rittman is joined in this episode by Oracle's Andrew Bond, to talk about their Big Data Reference Architecture two years on"
Mark Rittman is joined by Cloudera's Mike Percy, to talk about Apache Kudu, Analytics on Hadoop, and Cloudera's work in this area
Mark Rittman is joined by Dan McClary, ex-Oracle Big Data SQL PM and now working on Google's Storage Division on big data projects, to talk about the future of SQL-on-Hadoop.
