AWS Big Data

JANUARY 8, 2024

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices.

Analytics 111

Analytics IoT Data-driven Snapshot 111

CIO Business Intelligence

MAY 16, 2022

The advent of distributed workforces, smart devices, and internet-of-things (IoT) applications is creating a deluge of data generated and consumed outside of traditional centralized data warehouses. How edge refines data strategy. From there, other best practices emerge: Heighten the focus on security and governance.

IoT 82

IoT Data Warehouse Internet of Things Machine Learning 82

AWS Big Data

JANUARY 24, 2023

Data migration must be performed separately using methods such as S3 replication , S3 sync, aws-s3-copy-sync-using-batch or S3 Batch replication. This utility has two modes for replicating Lake Formation and Data Catalog metadata: on-demand and real-time. Nivas Shankar is a Principal Product Manager for AWS Lake Formation.

Data Architecture 65

Data Architecture Metadata Data Lake Snapshot 65

AWS Big Data

MAY 30, 2023

For Task logs , enable Turn on CloudWatch logs and Turn on batch-optimized apply. About the authors Manish Kola is a Data Lab Solutions Architect at AWS, where he works closely with customers across various industries to architect cloud-native solutions for their data analytics and AI needs. options(**additional_options).mode("append").save(s3_output_folder)

Data Lake 79

Data Lake Data Analytics Analytics Data Processing 79

AWS Big Data

OCTOBER 20, 2023

You can have multiple internal applications such as databases, data warehouses, or other systems where DNS names are not publicly resolvable. You can now use MSK Connect to privately connect with databases, data warehouses, and other resources in your VPC to comply with your security needs.

Data Processing 85

Data Processing Snapshot Data Warehouse Management 85

AWS Big Data

AUGUST 16, 2023

Iceberg manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. Iceberg also helps guarantee data correctness under concurrent write scenarios. Utilize Athena OPTIMIZE command to compact these small files.

Data Lake 70

Data Lake Metadata Testing Snapshot 70

AWS Big Data

MARCH 25, 2024

Furthermore, data events are filtered, enriched, and transformed to a consumable format using a stream processor. The result is made available to the application by querying the latest snapshot. Learn more about AWS data streaming services and get started building your own data streaming solution.

Data Lake 88

Data Lake Unstructured Data Management Modeling 88

AWS Big Data

MARCH 3, 2023

Any time new test cases or test results are created or modified, events trigger such that processing is immediate and new snapshot files are available via an API or data is pulled at the refresh frequency of the reporting or business intelligence (BI) tool. Ricardo Serafim is a Senior AWS Data Lab Solutions Architect.

Software 52

Software Data Lake Testing Cost-Benefit 52

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. It definitely depends on the type of data, no one method is always better than the other.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

Data Lake 81

Data Lake Dashboards Metrics Metadata 81

IBM Big Data Hub

SEPTEMBER 25, 2023

Uber’s DNA as an analytics company At its core, Uber’s business model is deceptively simple: connect a customer at point A to their destination at point B. With a few taps on a mobile device, riders request a ride; then, Uber’s algorithms work to match them with the nearest available driver and calculate the optimal price.

OLAP 90

OLAP Data Lake Data-driven Snapshot 90