AWS Big Data

APRIL 26, 2024

Use Lake Formation to grant permissions to users to access data. Test the solution by accessing data with a corporate identity. Audit user data access. On the Lake Formation console, choose Data lake permissions under Permissions in the navigation pane. Select Named Data Catalog resources.

Analytics 85

Analytics Data Lake Management Enterprise 85

AWS Big Data

FEBRUARY 15, 2024

You might be modernizing your data architecture using Amazon Redshift to enable access to your data lake and data in your data warehouse, and are looking for a centralized and scalable way to define and manage the data access based on IdP identities. For IAM role , choose a Lake Formation user-defined role.

Management 85

Management Data Lake Sales Data Warehouse 85

AWS Big Data

JUNE 13, 2023

Test the application Let’s invoke the application you have created to seamlessly sign in to QuickSight using the following URL. Vamsi Bhadriraju is a Data Architect at AWS. He works closely with enterprise customers to build data lakes and analytical applications on the AWS Cloud.

Metadata 52

Metadata Dashboards Business Intelligence Management 52

AWS Big Data

OCTOBER 23, 2023

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data.

Data Lake 98

Data Lake Visualization Optimization Interactive 98

BizAcuity

MAY 10, 2022

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. An efficient big data management and storage solution that AWS quickly took advantage of. They now have a disruptive data management solution to offer to its client base.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

AWS Big Data

DECEMBER 18, 2023

Solution overview One of the common functionalities involved in data pipelines is extracting data from multiple data sources and exporting it to a data lake or synchronizing the data to another database. Choose the workflow named ETL_Process. Run the workflow with default input.

Metadata 117

Metadata Visualization Data Lake Data-driven 117

Domino Data Lab

AUGUST 8, 2019

Social science research—which produces outcomes such as guiding government policies — tends to use confidential data about people: medical histories, home addresses, family details, gender, sexual practices, mental health issues, police records, details you probably wouldn’t tell anyone else but your therapist, and so on. No big deal.”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Cloudera

DECEMBER 12, 2018

And so I actually transitioned out of that group and into the Big Data Appliance group at Oracle, but soon realized that if that was what I wanted to keep doing, this up and coming company called Cloudera might be a better place to do it since these new technologies weren’t just a hobby at Cloudera. Interesting times.

Data Warehouse 41

Data Warehouse Marketing Big Data Data Lake 41