Category: Analytics

In today’s data-driven business environment, organizations face the challenge of efficiently preparing and transforming large amounts of data for analytics and data science purposes. Businesses need to build data warehouses and data lakes based on operational data. This is driven by the need to centralize and integrate data coming from disparate sources. At the same […]

This is a guest blog post co-written with SangSu Park and JaeHong Ahn from SOCAR.  As companies continue to expand their digital footprint, the importance of real-time data processing and analysis cannot be overstated. The ability to quickly measure and draw insights from data is critical in today’s business landscape, where rapid decision-making is key. […]

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all your data efficiently and securely. Users such as data analysts, database developers, and data scientists use SQL to analyze their data in Amazon Redshift data warehouses. Amazon Redshift provides a web-based Query Editor V2 in […]

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed orchestration service for Apache Airflow that makes it simple to set up and operate end-to-end data pipelines in the cloud at scale. Amazon MWAA supports multiple versions of Apache Airflow (v1.10.12, v2.0.2, and v2.2.2). Earlier in 2023, we added support for Apache Airflow v2.4.3 […]

As organizations mature in their cloud journey, they have many accounts (even hundreds) that they need to manage. Imagine having to manage support cases for these accounts without a unified dashboard. Administrators have to access each account either by switching roles or with single sign-on (SSO) in order to view and manage support cases. This […]

August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. Real-time anomaly detection describes a use case to detect and flag unexpected behavior in streaming data as it occurs. Online machine learning (ML) algorithms are popular for […]

You can now use Amazon Managed Streaming for Apache Kafka (Amazon MSK) multi-VPC private connectivity (powered by AWS PrivateLink) and cluster policy support for MSK clusters to simplify connectivity of your Kafka clients to your brokers. Amazon MSK is a fully managed service that makes it easy for you to build and run applications that […]

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools. Tens of thousands of customers use Amazon Redshift to process exabytes of data per […]

This is a guest post co-written with Jonatan Selsing and Moses Arthur from Novo Nordisk. This is the second post of a three-part series detailing how Novo Nordisk, a large pharmaceutical enterprise, partnered with AWS Professional Services to build a scalable and secure data and analytics platform. The first post of this series describes the […]

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. You can use AWS Glue to create, run, and monitor data integration and ETL (extract, transform, and load) pipelines and catalog your assets across multiple data stores. One of […]