Optimizing Data Lakes: Streamlining Storage with Effective Object Management

Data lakes are a popular solution for data storage, and for good reason. Data lakes are flexible and cost effective, as they allow multiple query engines and many object formats without the need to manage resources like disks, CPUs, and memory. In a data lake, data is simply stored in an object...

How to Protect Against Data Lake Hacking

Data lakes, or centralized repositories for large-scale data, are a popular solution for data storage, and there are good reasons for that. Data lakes are flexible and cost-effective, as they allow many object formats and multiple query engines, and there is no need to manage or pay for resources...

Breaking the Security "Black Box" in DBs, Data Warehouses and Data Lakes

Security teams typically have great visibility over most areas, for example, the corporate network, endpoints, servers, and cloud infrastructure. They use this visibility to enforce the necessary security and compliance requirements. However, this is not the case when it comes to sensitive data...

4 Places to Supercharge Your SOC with Automation

It's no secret that the job of SOC teams continues to become increasingly difficult. Increased volume and sophistication of attacks are plaguing under-resourced teams with false positives and analyst burnout. However, like many other industries, cybersecurity is now beginning to lean on and benef...

Imperva DSF Secures Your Data in Amazon Web Services Enterprise Data Lakes

Data lakes serve as a central repository for storing several data types - structured, semi-structured, and unstructured - at scale. One of the ways data lakes are useful is they do not require any upfront work on the data. You can simply integrate and store data as it streams in from multiple...

How Organizations Manage to Understand Millions of Unstructured Data Files at Scale

For an ever-growing segment of organizations, making sense of unstructured data is fast becoming imperative. It is also far more challenging. Unlike structured data that’s stored in rows and columns, text-based, and easy to search in relational databases and data warehouses, there is no defined...

How to Monitor Athena Usage to Understand Your Operations, and Control Security and Costs

Introduction to our data lakes experience Data lakes are great. They are flexible as they allow many object formats and multiple query engines. They are also cost effective - there is no need to manage or pay for resources like disks, cpu and memory. Data is simply stored in an object store and i...

[eBook] The Guide to Centralized Log Management for Lean IT Security Teams

One of the side effects of today’s cyber security landscape is the overwhelming volume of data security teams must aggregate and parse. Lean security teams don’t have it any easier, and the problem is compounded if they must do it manually. Data and log management are essential for organizations ...

How Our Threat Analytics Multi-Region Data Lake on AWS Stores More, Slashes Costs

Data is the lifeblood of digital businesses, and a key competitive advantage. The question is: how can you store your data cost-efficiently, access it quickly, while abiding by privacy laws? At Imperva, we wanted to store our data for long-term access. Databases would’ve cost too much in disk and...

Challenges of Big Data Security – Whiteboard Wednesday [Video]

Database security best practices are also applicable for big data environments. The question is how to achieve security and compliance for big data environments given the challenges they present. Issues of volume, scale, and multiple layers/technologies/instances make for a uniquely complex...