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Tag: AWS Big Data

Best practices for enabling business users to answer questions about data using natural language in Amazon QuickSight | Amazon Web Services

In this post, we explain how you can enable business users to ask and answer questions about data using their everyday business language by...

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How SOCAR built a streaming data pipeline to process IoT data for real-time analytics and control

SOCAR is the leading Korean mobility company with strong competitiveness in car-sharing. SOCAR has become a comprehensive mobility platform in collaboration with Nine2One, an...

Learn more about Apache Flink and Amazon Kinesis Data Analytics with three new videos

Amazon Kinesis Data Analytics is a fully managed service for Apache Flink that reduces the complexity of building, managing, and integrating Apache Flink applications...

Your guide to AWS Analytics at re:Invent 2022

Join the global cloud community at AWS re:Invent this year to meet, get inspired, and rethink...

Retain more for less with tiered storage for Amazon MSK

Organizations are adopting Apache Kafka and Amazon Managed Streaming for Apache Kafka (Amazon MSK) to capture and analyze data in real-time. Amazon MSK allows...

Measure the adoption of your Amazon QuickSight dashboards and view your BI portfolio in a single pane of glass

Amazon QuickSight is a fully managed, cloud-native business intelligence (BI) service. If you plan to deploy enterprise-grade QuickSight dashboards, measuring user adoption and usage...

Simplify data analysis and collaboration with SQL Notebooks in Amazon Redshift Query Editor V2.0

Amazon Redshift Query Editor V2.0 is a web-based analyst workbench that you can use to author and run queries on your Amazon Redshift data...

How The Mill Adventure enabled data-driven decision-making in iGaming using Amazon QuickSight

This post is co-written with Darren Demicoli from The Mill Adventure. The Mill Adventure is an iGaming...

Deploy DataHub using AWS managed services and ingest metadata from AWS Glue and Amazon Redshift – Part 2

In the first post of this series, we discussed the need of a metadata management solution for organizations. We used DataHub as an open-source...

Deploy DataHub using AWS managed services and ingest metadata from AWS Glue and Amazon Redshift – Part 1

Many organizations are establishing enterprise data warehouses, data lakes, or a modern data architecture on AWS to build data-driven products. As the organization grows,...

How a blockchain startup built a prototype solution to solve the need of analytics for decentralized applications with AWS Data Lab

This post is co-written with Dr. Quan Hoang Nguyen, CTO at Fantom Foundation. Here at Fantom Foundation...

Automate Amazon Redshift Serverless data warehouse management using AWS CloudFormation and the AWS CLI

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage the instance type, instance size, lifecycle management, pausing, resuming,...

Ingest VPC flow logs into Splunk using Amazon Kinesis Data Firehose

In September 2017, during the annual Splunk.conf, Splunk and AWS jointly announced Amazon Kinesis Data Firehose integration to support Splunk Enterprise and Splunk Cloud...

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