Amazon Athena is a tool that allows data analysts to use standard SQL to query data within objects stored in Amazon S3. It can be accessed through the AWS Management Console, a Java Database Connectivity driver, an ODBC driver or an API.
Constant streams of data inundate E-commerce companies nowadays. Understanding and acting upon these data sets are of paramount importance. Enters Big Data. This game-changing technology allows online retailers to capture and analyze this enormous amount of information.
There is an adage that says "work smart not hard" and it is becoming more and more relevant. The global economy has grown exponentially due to rapid technological advancements and this means that every single business regardless of size must fight to grow by increasing their client base.
Business expansion comes with many boundaries to it, some of the most significant aspects of experiencing growth within the business is profitability, cost-effectiveness and also long-term sustainability.
The accumulation of data is increasing daily at an exponential rate and the high profile nature of data breaches can be extremely damaging for a company. Therefore, the ability of a business to protect its data is crucial for its survival.
There are many governments, education, mining, betting, pharmaceutical, weather and science companies that require High-Performance Computing (HPC)for Big data processing.
Companies with huge amounts of data to manage and process find HPC very useful. HPC is mostly used, to solve big scientific and engineering issues. So, how can companies maximise HPC, in processing company data?