Rittman Mead (Page 16)

Introducing the Rittman Mead OBIEE Performance Analytics Service

Fix Your OBIEE Performance Problems Today OBIEE is a powerful analytics tool that enables your users to make the most of the data in your organisation. Ensuring that expected response times are met is key to driving user uptake and successful user engagement with OBIEE. Rittman Mead can help diagnose

News on Three Big Data Webcasts with Oracle, and a Customer Case-Study at Cloudera Sessions

This week I’m presenting along with Liberty Global at the Cloudera Sessions event in Amsterdam [http://go.cloudera.com/Sessions_2015_amsterdam_reg] on October 15th 2015, on their implementation of Cloudera Enterprise on Oracle Big Data Appliance for a number of big data and advanced analytics initiatives around

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,

Technical

Once A Week Is Never Enough

Over the last few months we have been looking at User Engagement [http://www.rittmanmead.com/tag/userengagement/] and recently asked people take part in a global usage survey [https://www.rittmanmead.com/blog/2015/09/the-greatest-obiee-usage-study-ever/] so we could create a series of benchmark metrics detailing how organisations used

Big Data

Taking a Look at Oracle Big Data Preparation Cloud Service - Spark-Based Data Transformation in the Cloud

One of the sessions I’m delivering at the upcoming Oracle Openworld 2015 in San Francisco is entitled "Oracle Business Intelligence Cloud Service—Moving Your Complete BI Platform to the Cloud [UGF4906]”, and looks at how you can now migrate your entire OBIEE11g platform into Oracle Public Cloud including

Technical

Using the BI Server Metadata Web Service for Automated RPD Modifications

A little-known new feature of OBIEE 11g is a web service interface to the BI Server. Called the “BI Server Metadata Web Service [https://docs.oracle.com/cd/E28280_01/bi.1111/e16364/bi_server_web_services.htm#BIEIT3235] ” it gives a route into making calls into the BI Server

Technical

Managing the OBIEE BI Server Cache from ODI 12c

I wrote recently about the OBIEE BI Server Cache and how useful it can be [https://www.rittmanmead.com/blog/2015/09/obiee-bi-server-cache-management-strategies/], but how important it is to manage it properly, both in the purging of stale data and seeding of new. In this article I want to show

Technical

OBIEE BI Server Cache Management Strategies

The OBIEE BI Server cache can be one of the most effective ways of improving response times of OBIEE dashboards. By using data already in the cache it reduces load on the database, the network, and the BI Server. Should you be using it? I always describe it as the

Technical

Tracing Data Lineage and Impact Analysis in Oracle Enterprise Metadata Management 12c

At the beginning of the year, I wrote a couple of posts about Oracle Enterprise Metadata Management, one about how to install the tool and another one explaining the harvesting (importing) and stitching (relating) processes. A lot of things have happened since then, including a new version of OEMM released

Managing Impala and Other Mixed Workloads on the Oracle Big Data Appliance

One of our current client projects uses Cloudera Impala [http://www.cloudera.com/content/cloudera/en/products-and-services/cdh/impala.html] to provide fast ad-hoc querying to the data we’re loading into their Oracle Big Data Appliance Hadoop environment. Impala bypasses MapReduce to provide faster queries than Hive, but to

Big Data

Oracle Big Data Discovery 1.1 now GA, and Available as part of BigDataLite 4.2.1

The new Oracle Big Data Discovery 1.1 release went GA [https://blogs.oracle.com/proactivesupportEPM/entry/bdd_v11] a couple of weeks ago, and came with a bunch of features that addressed show-stoppers in the original 1.0 release; the ability to refresh and reload datasets from Hive, compatibility

Technical

Primeros Cursos de Rittman Mead en Español en América Latina

La semana pasada y en el contexto del OTN Tour LA 2015 dimos nuestros primeros cursos en Español en Quito, Ecuador y Cali, Colombia. Se trató de un workshop en este caso de un día (8 horas) sobre Desarrollo Front-End de OBIEE 11g. En esta oportunidad los cursos fueron presenciales,

UKOUG Partner of the Year Awards 2015

It’s that time of year again for the UKOUG Partner of the Year Awards [http://www.ukoug.org/2015-events/partner-of-the-year-awards/]. This year we have been nominated [http://www.ukoug.org/2015-events/partner-of-the-year-awards/shortlist-201516/] for 4 awards: * Engineered Systems Partner of the Year Award * Business Analytics Partner of the Year

Technical

The greatest OBIEE usage study ever...

Rittman Mead is excited to announce the first ever global OBIEE usage survey. Our goal is to provide deep analysis into how organisations use their OBIEE systems and to create a set of industry benchmarks. We will be releasing the results of this research for free to the OBIEE community.

Technical

Three Easy Ways to Stream Twitter Data into ElasticSearch

For the past few months a friend has been driving me crazy with all his praise for Splunk. He was going on about how easy it is to install, integrate different sources and build reports. I eventually started playing around to see if it could be used for a personal

Big Data

Combining Spark Streaming and Data Frames for Near-Real Time Log Analysis & Enrichment

A few months ago I posted an article on the blog around using Apache Spark to analyse activity on our website [https://www.rittmanmead.com/blog/2014/12/going-beyond-mapreduce-for-hadoop-etl-pt-3-introducing-apache-spark/] , using Spark to join the site activity to some reference tables for some one-off analysis. In this article I’ll be

Technical

Oracle Data Integrator to load Oracle BICS and Oracle Storage Cloud Service

It is known that Oracle focuses its sales on cloud this year and in the BI world, we have seen the introduction of Oracle Business Intelligence Cloud Service [https://cloud.oracle.com/business_intelligence] – BICS – that we already covered on the blog [http://www.rittmanmead.com/tag/bics/]. Another great

Taking a Closer Look at Knowledge Modules in ODI12c - Component-Style and Multi-Connect KMs

Another question that came up from the ODI12c Bootcamp Course [http://www.rittmanmead.com/training/training-trn405-oracle-data-integrator-12c-bootcamp/] I’m delivering for a client in London at the moment is how to choose between the different knowledge modules that come with ODI12c. What with the choice now between template-style KMs and the

Technical

Using Streams with ODI12c for Oracle-to-Oracle Change Data Capture

Although Oracle GoldenGate replaced Oracle Streams a couple of years ago as the recommended data replication and change data capture technology for Oracle databases, many customers still on Oracle Database 11gR2 or earlier still use Streams for Oracle-to-Oracle change data capture as it works and compared to GoldenGate doesn’t

Technical

Security patches released for OBIEE 11.1.1.7/11.1.1.9, and ODI DQ 11.1.1.3

Oracle issued their quarterly Critical Patch Update [http://www.oracle.com/technetwork/topics/security/cpujul2015-2367936.html] yesterday, and with it notice of several security issues of note: * The most serious for OBIEE (CVE-2013-2186 [https://web.nvd.nist.gov/view/vuln/detail?vulnId=CVE-2013-2186]) rates 7.5 (out of 10) on

Technical

Options for Enabling ODI11g+12c Standalone Agents for High-Availability (or ... Why JEE Agents are the Best Option)

A few years ago we posted some articles on the blog around Oracle Data Integrator ETL restartability and resilience [https://www.rittmanmead.com/blog/2013/01/odi-11g-in-the-enterprise-part-5-etl-resilience-and-high-availability/] , and making ODI’s agents highly-availabile [https://www.rittmanmead.com/blog/2012/11/clustering-odi11g-for-high-availability-part-1-introduction-and-architecture/] . The context around those posts was a large data

Technical

Essbase Studio checkModelInSyncExternal Error

This week I am back at one of my favourite clients to assist with some issues since the latest upgrade to 11.1.1.9. These guys are seriously technical and know their stuff, so when issues pop up I'm always ready for an interesting and challenging day

Technical

How Engaged Are Your OBIEE Users?

Following on from Jon's blog post “User Engagement: Why does it matter?” [https://www.rittmanmead.com/blog/2015/06/user-engagement-why-does-it-matter/], I would like to take this one step further by talking about measurement. At Rittman Mead we believe that if you can't measure it, you can&

Big Data

Rittman Mead at ODTUG KScope'15, Hollywood Florida

ODTUG KScope’15 [http://kscope15.com] is running in Hollywood, Florida next week and Rittman Mead are running a number of sessions during the week on OBIEE, Essbase, ODI and Big Data. I’ve personally been attending ODTUG KScope (or “Kaleidoscope”, as it used to be known) for many years

Big Data

Replicating Hive Data Into Oracle BI Cloud Service for Visual Analyzer using BICS Data Sync

In yesterday’s post on using Oracle Big Data Discovery with Oracle Visual Analyzer in Oracle BI Cloud Service [https://www.rittmanmead.com/blog/2015/06/combining-oracle-big-data-discovery-and-oracle-visual-analyzer-on-bics/] , I said mid-way through the article that I had to copy the Hadoop data into BI Cloud Service so that Visual Analyzer could