Tableau + Datameer = simplified Big Data Analytics

Jul 27th, 2015

Gary Allemann, Master Data Management MD

Bring your big data analytics to life with tight integration between leading data discovery platforms: Webinar July 30th

Attendees at the recent Big Data and Analytics in Banking Conference, held in Johannesburg in June, agreed that the lack of Hadoop skills remains one of the biggest obstacles to the adoption of big data analytics in South Africa.

Says Gary Allemann, MD at Master Data Management, “While developing big data and analytics skills is important, companies investigating big data can reduce the impact of the skills shortage by taking advantage of modern platforms that reduce the complexity.”

Visualisation tools, such as Tableau, have changed how Business Intelligence (BI) is delivered for many companies. Where, historically, business was dependent on IT to deliver dashboards, tools like Tableau provide a simpler, less technical interface that allows less technical users to create their own views of analytics.

This same ease of use makes Tableau a popular choice for companies investigating Big Data.  However, visualisation is the final step in a complex process. Data must be sourced, understood, integrated and analysed before it can be presented in a meaningful visual format.

Adds Allemann, “In the traditional BI space, Tableau users are typically dependent on predefined data warehouse or Operational Data Store views of data.  The complexities of preparing, integrating and aggregating raw data into a format that is useful to reporting are commonly still left to more technical, IT users. Advanced analytics typically requires data specialists with advanced statistics knowledge and complex tools.”

Shifting the analytics process to Hadoop does not remove these dependencies.

The complexities of bringing together structured and unstructured data from multiple sources; aggregating and merging data into the required formats for reporting; measuring and managing data quality; and building analytical routines using open source Hadoop still require technical skills – the very skills that are in short supply.

Data scientists must adopt programming languages such as JAVA, Python and R to prepare and analyse data.  Developers must understand the complex and rapidly changing Hadoop ecosystem – should they use SPARK or HIVE, MapReduce or Pig?

Research shows that 60% to 80% of the effort of big data analytics is taken up with this data preparation process.

A simpler, faster approach is necessary to truly unleash the power of big data analytics.

The combination of Datameer and Tableau truly democratises big data analytics, while ensuring controls such as the protection of sensitive data from unauthorised users.

Datameer’s big data management platform provides a simple, visual interface to cut this data preparation process short.  The Datameer platform runs natively against Hadoop and provides a host of features to improve data management within Hadoop, while reducing complexity.

Using Datameer, analysts and IT staff can quickly and easily:

  • Manage access to data from over 60 predefined data sources – including relational databases; web sources like social media; and machine interfaces such as web logs
  • Visually investigate, join and aggregate data sets
  • Perform complex analytics and discover new insights
  • Deliver a Tableau friendly data lake within Hadoop.

Importantly, Datameer substantially shortens the time taken to prepare big data for visualisation and does not compromise on the many benefits inherent in the Hadoop platform.

To learn more on bringing your big data analytics to life, register for the webinar by clicking on the following link:

Registered users that cannot make the live webinar will be able to access a recording,

Learn more – watch the Datameer tableau overview video