kafka Announcing The Kafka Pilot with Rittman Mead Rittman Mead is today pleased to announce the launch of it's Kafka Pilot service, focusing on engaging with companies to help fully assess the capabilities of Apache Kafka for event streaming use cases with both a technical and business focus. Our 30 day Kafka Pilot includes: * A comprehensive assessment of
obiee Unify - bringing together the best of both worlds Since I started teaching OBIEE in 2011, I had the pleasure of meeting many fascinating people who work with Business Intelligence. In talking to my students, I would generally notice three different situations: 1. Folks were heavy users of OBIEE and just ready to take their skills to the next
Kscope17 Rittman Mead at Kscope 2017 Rittman Mead will be well represented in San Antonio, Texas next week for Kscope 17 with some of our best from both sides of the Atlantic! Our very own Francesco Tisiot and Jordan Meyer will present various topics as well as participate in the conference events. Also, the newly named
OBIEE12c A focus on Higher Education, HEDW 2017 First, before I get into a great week of Higher Education Data Warehousing and analytics discussions, I want to thank the HEDW board and their membership. They embraced us with open arms in our first year of conference sponsorship. Our longtime friend and HEDW board member, Phyllis Wykoff, from Miami
Conferences Join Rittman Mead at the 2017 BIWA Summit! We invite you to come join us at the annual 2017 BIWA Summit [http://www.biwasummit.org/]. This year we are proud to announce that Robin Moffatt, Head of Research and Development, will be presenting on: Analysing the Panama Papers with Oracle Big Data Spatial and Graph January 31, 2017
obiee ETL Offload with Spark and Amazon EMR - Part 1 - Introduction We recently undertook a two-week Proof of Concept exercise for a client, evaluating whether their existing ETL processing could be done faster and more cheaply using Spark. They were also interested in whether something like Redshift [http://docs.aws.amazon.com/redshift/latest/mgmt/welcome.html] would provide a suitable
Oracle GoldenGate Using logdump to Troubleshoot the Oracle GoldenGate for Big Data Kafka Handler Oracle GoldenGate [http://www.oracle.com/technetwork/middleware/goldengate/overview/index.html] for Big Data (OGG BD) supports sending transactions as messages to Kafka topics, both through the native Oracle handler [http://docs.oracle.com/goldengate/bd1221/gg-bd/GADBD/GUID-2561CA12-9BAC-454B-A2E3-2D36C5C60EE5.htm#GADBD449] as well as a connector into Confluent's Kafka
hdfs An Introduction to Apache Drill Apache Drill [https://drill.apache.org/] is an engine that can connect to many different data sources, and provide a SQL interface to them. It's not just a wanna-be SQL interface that trips over at anything complex - it's a hugely functional one [https://drill.apache.org/docs/sql-reference-introduction/] including
Technical Stream Analytics and Processing with Kafka and Oracle Stream Analytics In my previous post [http://www.rittmanmead.com/2016/07/introduction-oracle-stream-analytics/] I looked the latest release of Oracle Stream Analytics (OSA), and saw how it provided a graphical interface to "Fast Data". Users can analyse streaming data as it arrives based on conditions and rules. They can also transform the
Technical An Introduction to Oracle Stream Analytics Oracle Stream Analytics (OSA) is a graphical tool that provides “Business Insight into Fast Data”. In layman terms, that translates into an intuitive web-based interface for exploring, analysing, and manipulating streaming data sources in realtime. These sources can include REST, JMS queues, as well as Kafka. The inclusion of Kafka
Big Data Using R with Jupyter Notebooks and Oracle Big Data Discovery Oracle's Big Data Discovery [https://www.oracle.com/big-data/big-data-discovery/index.html] encompasses a good amount of exploration, transformation, and visualisation capabilities for datasets residing in your organisation’s data reservoir. Even with this though, there may come a time when your data scientists want to unleash their R magic
Big Data Using SparkSQL and Pandas to Import Data into Hive and Big Data Discovery Big Data Discovery [https://www.oracle.com/big-data/big-data-discovery/index.html] (BDD) is a great tool for exploring, transforming, and visualising data stored in your organisation’s Data Reservoir. I presented a workshop on it at a recent conference [https://speakerdeck.com/rmoff/unlock-the-value-in-your-big-data-reservoir-using-oracle-big-data-discovery-and-oracle-big-data-spatial-and-graph] , and got an interesting question from
Big Data Using Jupyter Notebooks with Big Data Discovery 1.2 New in Big Data Discovery [https://www.oracle.com/big-data/big-data-discovery/index.html] 1.2 is the addition of BDD Shell, an integration point with Python. This exposes the datasets and BDD functionality in a Python and PySpark environment, opening up huge possibilities for advanced data science work on BDD
Big Data Running Big Data Discovery Shell and Jupyter Notebook on Big Data Lite VM 4.5 New in Big Data Discovery [https://www.oracle.com/big-data/big-data-discovery/index.html] 1.2 is the addition of BDD Shell, an integration point with Python. This exposes the datasets and BDD functionality in a Python and PySpark environment, opening up huge possibilities for advanced data science work on BDD
Big Data Rittman Mead at Collaborate 16: Data Integration Focus It’s that time of year again when Oracle technologists from around the world gather in Las Vegas, Nevada, to teach, learn, and, of course, network with their peers. TheCollaborate 16 [http://collaborate.ioug.org/]conference, running for 10 years now, has been a collaboration, if you will, between the
Big Data OBIEE 12c - Your Answers After Upgrading Several blogs have already been written about new functionality in OBIEE 12c. Mark Rittman, for example, posted a good one here [https://www.rittmanmead.com/blog/2015/10/oracle-business-intelligence-12c-now-available-improving-agility-and-enabling-self-service-for-bi-users/] . Now, I've personally had the chance to play with it for a few weeks, mostly in Answers and some with the
Big Data Introduction to Oracle R Training Rittman Mead is thrilled to announce our new Introduction to Oracle R courses! With the launch of 12c comes an exciting extension to OBIEE’s analytical capabilities—embedded R execution. Oracle has made several investments in the R language and its related technologies (Oracle R, ROracle, ORAAH, and Oracle R
Big Data Using Python to ‘Wrangle’ Your Messy Data or How to Organize Your Comic Book Collection Based on Issue Popularity In addition to being a product manager at Rittman Mead, I consider myself to be a nerd of the highest order. My love of comic books, fantasy, sci-fi and general geekery began long before the word ‘Stark’ had
Big Data The Best OBIEE 12c Feature that You're Probably Not Using With the release of OBIEE 12c we got a number of interesting new features on the front-end. We’re all talking about the cleaner look-and-feel, Visual Analyzer, and the ability to create data-mashups [https://www.rittmanmead.com/blog/2015/06/new-in-oracle-bi-cloud-service-oracle-visual-analyzer-and-data-mashups-in-va/] , etc. While all this is incredibly useful, it’s
Big Data OBIEE 12c - Three Months In, What's the Verdict? I’m over in Redwood Shores, California this week for the BIWA Summit 2016 conference [http://www.ioug.org/p/cm/ld/&fid=992] where I’ll be speaking about BI development on Oracle’s database and big data platforms. As it’s around three months since OBIEE12c came out
Big Data Upgrade to ODI 12c: Repository and Standalone Agent This is my first post, and I hope to have many more to come. My name is Brian Sauer, and I am fairly new here at Rittman Mead and proud to be here. I have close to 5 years of experience with Oracle Data Integrator, both 10g and 11c. I
Big Data Rittman Mead and Oracle Big Data Webcast Series - November 2015 We’re running a set of three webcasts together with Oracle on three popular use-cases for big data within an Oracle context - with the first one running tomorrow, November 3rd 2015 15:00 – 16:00 GMT / 16:00 – 17:00 CET on extending the data warehouse using Hadoop and
Big Data Oracle OpenWorld 2015 Roundup Part 2 : Data Integration, and Big Data (in the Cloud...) In yesterdays part one of our three-part Oracle Openworld 2015 round-up [https://www.rittmanmead.com/blog/2015/11/oracle-openworld-2015-roundup-part-1-obiee12c-and-data-visualisation-cloud-service/] , we looked at the launch of OBIEE12c just before Openworld itself, and the new Data Visualisation Cloud Service that Thomas Kurian demo’d in his mid-week keynote. In part two we’
Big Data Forays into Kafka - Enabling Flexible Data Pipelines One of the defining features of “Big Data” from a technologist’s point of view is the sheer number of tools and permutations at one’s disposal. Do you go Flume or Logstash? Avro or Thrift? Pig or Spark? Foo or Bar? (I made that last one up). This wealth
Big Data Forays into Kafka - Logstash transport / centralisation The holy trinity of Elasticsearch, Logstash, and Kibana (ELK) are a powerful trio of tools for data discovery [https://www.rittmanmead.com/blog/2015/04/using-the-elk-stack-to-analyse-donors-choose-data/] and systems diagnostics [https://www.rittmanmead.com/blog/2014/10/monitoring-obiee-with-elasticsearch-logstash-and-kibana/] . In a nutshell, they enable you to easily search through your log files,
