Category: AWS Lake Formation

Security-conscious customers often adopt a Zero Trust security architecture. Zero Trust is a security model centered on the idea that access to data shouldn’t be solely based on network location, but rather require users and systems to prove their identities and trustworthiness and enforce fine-grained identity-based authorization rules before granting access to applications, data, and […]

Customers are exploring building a data mesh on their AWS platform using AWS Lake Formation and sharing their data lakes across the organization. A data mesh architecture empowers business units (organized into domains) to have high ownership and autonomy for the technologies they use, while providing technology that enforces data security policies both within and […]

dbt has established itself as one of the most popular tools in the modern data stack, and is aiming to bring analytics engineering to everyone. The dbt tool makes it easy to develop and implement complex data processing pipelines, with mostly SQL, and it provides developers with a simple interface to create, test, document, evolve, […]

This is a guest post by Kanti Chalasani, Division Director at Georgia Data Analytics Center (GDAC). GDAC is housed within the Georgia Office of Planning and Budget to facilitate governed data sharing between various state agencies and departments. The Office of Planning and Budget (OPB) established the Georgia Data Analytics Center (GDAC) with the intent […]

A key benefit of a data mesh architecture is allowing different lines of business (LOBs) and organizational units to operate independently and offer their data as a product. This model not only allows organizations to scale, but also gives the end-to-end ownership of maintaining the product to data producers that are the domain experts of […]

Many customers are modernizing their data architecture using Amazon Redshift to enable access to all their data from a central data location. They are looking for a simpler, scalable, and centralized way to define and enforce access policies on their data lakes on Amazon Simple Storage Service (Amazon S3). They want access policies to allow […]

Data lakes have become very popular with organizations that want a centralized repository that allows you to store all your structured data and unstructured data at any scale. Because data is stored as is, there is no need to convert it to a predefined schema in advance. When you have new business use cases, you […]

This is a guest post written by Dr. Yannick Misteli, lead cloud platform and ML engineering in global product strategy (GPS) at Roche. Recently the Roche Data Insights (RDI) initiative was launched to achieve our vision using new ways of working and collaboration in order to build shared, interoperable data & insights with federated governance. […]

This blog post was last reviewed and updated May, 2022 to include AWS Lake Formation resource sharing model. Many AWS customers use a multi-account strategy to host applications for different departments within the same company. However, you might deploy services like Amazon QuickSight using a single-account approach, which raises challenges when you need to use […]

This post is co-written with Mat Sharpe, Technical Lead, AWS & Systems Engineering from Integral Ad Science. Integral Ad Science (IAS) is a global leader in digital media quality. The company’s mission is to be the global benchmark for trust and transparency in digital media quality for the world’s leading brands, publishers, and platforms. IAS […]