Cloud analytics is no more the dream of the future as enterprises have shifted their data or are in the process of doing so on the cloud. This step is a result of many advantages that the cloud has to offer including to scalability, agility, ease of collaboration, resource optimization, unified data approach, less maintenance etc. AWS, one of the leading cloud service providers is leading the cloud data lake market as most enterprises rely on them.
However, despite all these advantages, it is equally imperative for enterprises to consider the size of their data and analytics approach to make the most out of it. Using OLAP on AWS, enterprises can enable organizations to achieve high performance on trillions of rows of data. But before we dive into that, here are some of the reasons why OLAP is the preferred choice for enterprises.
OLAP On The Cloud
OLAP, short for Online Analytical Processing is a transformational technology that runs on the concept of pre-aggregated cubes. To explain it in simple words, when you use OLAP for analytics on all your data, all the combinations are pre-aggregated in advance. This means that when a business user fires a query, he/she gets an answer within seconds. Since the cube is pre-aggregated, business users don’t have to wait for even the most complex queries to return. Moreover, you can perform operations like slice and dice, roll-up, and down to get high-performing multidimensional analytics.
As organizations are considering AWS as their choice for analyzing big data on the cloud, combining it with the power it OLAP will take them to the next level. Performing interactive analysis using OLAP on AWS is a scalable, cost-effective, and low maintenance job only if you are not bound by the limitations of speed and scale.
Limitations Of Traditional OLAP
Traditional OLAP solutions weren’t made to deal with the data of today’s time. When exposed to massive volumes including hundreds of dimensions and measures coming from different data sources, they fail to perform. Most of the available OLAP solutions work on partial aggregation which poses limitations when new queries are fired. Moreover, in-memory OLAP also poses challenges of scalability and increases costs thus, affecting performance.
Smart OLAP On AWS
A truly suitable OLAP solution for today’s analytical needs must be able to overcome the limitations of traditional OLAP such as lack of scalability, performance limitations on growing data and connectivity issues to BI tools. That’s where Smart OLAP comes into the picture. With Smart OLAP, business users need not wait for insights no matter how large their data size is. It overcomes the limitations of partial aggregation and allows the cubes to be stored in granular form with the entire data pre-aggregated. This allows users to achieve sub-second responses for both, standard as well as ad-hoc queries.
3 Unique Features of a BI Acceleration Layer with Smart OLAP for AWS:
The Power of Fully Pre-Aggregated Cubes
Smart OLAP on AWS allows full pre-aggregation of massive amounts of data using Amazon EMR for instant responses across hundreds of dimensions and measures with an option of choosing the level of materialization. Smart OLAP also brings the intelligence needed to build optimized aggregates on AWS to keep your storage costs in control.
Elastic BI to Save Costs
Smart OLAP utilizes the native elasticity of AWS to optimize resource utilization as per the need. You can use and release resources as per your needs to deliver performance while still saving costs in lean periods.
Instant and Interactive Responses on Massive Data
Even with massive volumes of data on the cloud, users can keep using the BI tool of their choice along with a BI acceleration layer powered by Smart OLAP on AWS for multi-dimensional analytics. Apart from querying and analysis on huge data volumes, users can perform different operations including slice, and dice, drill down to granular details, etc.
Secure Data Access on the Cloud
When you store your data on the cloud, one of the most generic concerns is security. With a BI acceleration layer operating on the model of Smart OLAP on AWS, you need not worry as it integrates seamlessly with your existing security frameworks and protocols and provides role-based access to all the users.
With more enterprises moving to AWS and data volumes growing every second, you need to find a reliable way to deal with it and achieve interactive BI. Using the power of Smart OLAP on AWS will enable you to achieve instant insights on massive volumes of data thus helping you transform your business with speed-of-thought analytics.