Quick, simple data analysis with Apache Spark
When you want to process your business data, you have a certain volume of data in one place, and a query in another, in the form of a few lines of code. With Data Processing, OVHcloud deploys an Apache Spark cluster in just a few minutes to respond to your query.
Apache Spark is one of the most popular frameworks on the market for massively parallel data processing. You can use it to manage multiple computing nodes, while storing the operations in the RAM. This means you choose the level of parallel processing you want.
You write the code, we deploy it
Make your life easier. We manage the cluster deployment, so that you can focus on your business needs. Once you have generated your Java or Python code, it is executed directly on your cluster.
Rather than keeping an Apache Spark cluster permanently for occasional computing operations, you can use Data Processing to create a dedicated cluster in just a few minutes, whenever you need one. Once the analysis is complete, the cluster is freed up.
ISO/IEC 27001, 27701 and health data hosting compliance*
Our cloud infrastructures and services are ISO/IEC 27001, 27017, 27018 and 27701 certified. Thanks to our compliance*, you can host healthcare data securely.
* Coming soon
Uses for our Data Processing solution
Whether you want to process millions of lines of tabular data, analyse thousands of tweets, or calculate KPIs, you can use Data Processing to aggregate massive volumes of data for strategic reports, used in data science or in other fields.
Want more insight into what your European customers use, or what centres of interest are popular among your users? With the MLib library integrated into Apache Spark, you can learn more about your customers’ journeys, habits, distribution, and much more.
Improved buyer experience
In the e-commerce sector, it is important to recommend products to your customers that may interest them. This means you need to analyse all shopping baskets, to detect complementary services and offer them when users visit the website.
How does the Data Processing solution work?
OVHcloud carefully optimises its deployments, and this has made it able to create and destroy Apache Spark clusters on demand, which are used to process high volumes of data. Once they are deployed, Spark will directly browse through the data and load it into the memory, then process it all at once before delivering the result and freeing up the resources.
With your data stored in one place and your code stored in another, create a cluster that is sized to match your needs.
Submit your job
Apache Spark will distribute the load across the cluster that has just been deployed.
Retrieve the result
Once the processing is complete, you can easily retrieve the result of your analysis.
What is data processing?
Data processing refers to the process of analysing raw data. These vast volumes of data are crucial for companies. Once the data is processed, it offers a better understanding of sales figures, the effectiveness of a marketing campaign, and financial risk. This operation is divided into several steps:
Data collection. The amount of data collected influences the quality of the result. It can come from different sources: customer files, inventories, previous studies, and more. To be usable, it must be reliable.
Data preparation. This phase involves “cleaning” the databases. It aims to eliminate poor quality elements and/or errors.
Importing processed data and starting processing. To automate this analysis, you need to use a machine learning algorithm.
Data interpretation. In this step, you can extract information that everyone can read and use. Data storage. The data may be used for future studies.
Please note that data storage is subject to regulations. For example, the GDPR requires a secure, compliant solution for all of your data.
How do I deploy a Spark cluster?
To implement efficient data processing in your company, you can deploy a dedicated Apache Spark cluster in just a few minutes. To do this, simply go to the OVHcloud Control Panel and deploy your cluster. You can then start your data processing.