What Does a Big Data Analytics Architecture Look Like?
As you start planning and prototyping Big Data solutions in your organization, you’ll want to make sure that you’ve solidified a Big Data architectural approach that is based on best practices and lessons learned.
At Anexinet, we’ve culled together experience and expertise from VLDB data warehouse & BI architectures, Big Data Analytics database best practices and several projects that our team has worked on in the Big Data world to devise high-level reference architectures.
This approach provides a Big Data Analytics platform that can accommodate extreme scale, enables Big Data unstructured source file processing and enables data discovery to data scientists and business users. In this high-level reference architecture, you will find Hadoop as the data source processing engine, exposing raw data for data discovery through Hive and aggregations through MapReduce presented to a data warehouse and/or analytical engines. The end-result analytics are presented to data scientists, analysts and business users via business intelligence and data visualization tools.
There are many use cases that require a Big Data approach, i.e. Web analytics, customer analytics, marketing attribution, analyzing network streams and social media, just to name a few examples. Those use cases do not all require an analytical database engine, sometimes you won’t need Hadoop at all, other times you’ll need additional aggregation capabilities in multidimensional cube models. Understanding and navigating these issues are key reasons to engage with Anexinet before jumping into your Big Data initiatives.
When you engage with our architects at Anexinet, we will work in partnership with your business and technical experts to ensure that we fill-in the details of your Big Data implementation with the proper analytical databases, NoSQL approaches, Hadoop distributions and data visualizations tools. Site and business surveys will address the required scale & performance metrics to determine the best platforms for your business.
To build out your Big Data platform with Anexinet means that you will be partnered with our Big Data experts as well as our Big Data partners including Microsoft, Oracle, EMC, HP & QlikView. The combined experience and expertise of these technology partners will ensure that your Big Data project will have a successful, positive impact on your business.