![]() In this post, we review two approaches Imperva implemented to address their challenges and meet their requirements. The challenge faced by Imperva and many other companies is how to create a big data extract, transform, and load (ETL) pipeline solution that fits these requirements. Continuously update and append data to queryable sources from the data lake.High performance with low query latency to enable interactive dashboards.Imperva had the following requirements for their solution: Imperva cleans their data by filtering incomplete records, reducing the number of records by aggregations, and applying internal logic to curate millions of security incidents out of hundreds of millions of records. In order for QuickSight to consume data from the data lake, some of the data undergoes additional transformations, filters, joins, and aggregations. With SPICE, you save time and cost because you don’t need to retrieve data from the data source (whether a database or data warehouse) every time you change an analysis or update a visual, and you remove the load of concurrent access or analytical complexity off the underlying data source with the data. SPICE provides consistently fast query performance and automatically scales for high concurrency. QuickSight offers SPICE, an in-memory, cloud-native data store that allows end-users to interactively explore data. Imperva uses QuickSight to enable users with no technical expertise, from different teams such as marketing, product, sales, and others, to extract insight from the data without the help of data or research teams. QuickSight is fully managed and serverless, requires no client downloads for dashboard creation, and has a pay-per-session pricing model that allows you to pay for dashboard consumption. QuickSight is a cloud-native business intelligence (BI) service that you can use to visually analyze data and share interactive dashboards with all users in the organization. Athena is serverless, straightforward to use, and makes it simple for anyone with SQL skills to quickly analyze large-scale datasets in multiple Regions. Redshift Serverless is ideal when it’s difficult to predict compute needs such as variable workloads, periodic workloads with idle time, and steady-state workloads with spikes.Īthena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. You just need to load and query your data, and you only pay for the compute used for the duration of the workloads on a per-second basis. Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver high performance for all your analytics. Redshift Serverless is a serverless option of Amazon Redshift that allows you to run and scale analytics without having to provision and manage data warehouse clusters. In turn, this makes AWS the best place to unlock value from your data and turn it into insight. AWS provides the most complete set of services for the entire end-to-end data journey for all workloads, all types of data, and all desired business outcomes. Challenges and needsĪ modern data strategy gives you a comprehensive plan to manage, access, analyze, and act on data. In this post, we explain how Imperva’s solution enables users across the organization to explore, visualize, and analyze data using Amazon Redshift Serverless, Amazon Athena, and QuickSight. Each day, TBs of new data is added to the data lake, which is then transformed, aggregated, partitioned, and compressed. Imperva’s data lake has a few dozen different datasets, in the scale of petabytes. Imperva’s data lake is based on Amazon Simple Storage Service (Amazon S3), where data is continually loaded. As part of their solution, they are using Amazon QuickSight to unlock insights from their data. To enable this transformation to a data-driven organization, Imperva brings together data from structured, semi-structured, and unstructured sources into a data lake. Imperva harnesses data to improve their business outcomes. Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva Cloud WAF protects hundreds of thousands of websites and blocks billions of security events every day. This blog post is co-written with Ori Nakar from Imperva.
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