AWS Big Data

APRIL 11, 2023

In this post, we discuss how to streamline inventory management forecasting systems with AWS managed analytics, AI/ML, and database services. Data transformation Data transformation is essential in inventory management and forecasting solutions for both data analysis around sales and inventory, as well as ML for forecasting.

Forecasting 98

Forecasting Management IoT Data-driven 98

AWS Big Data

OCTOBER 14, 2024

Enterprise data is brought into data lakes and data warehouses to carry out analytical, reporting, and data science use cases using AWS analytical services like Amazon Athena , Amazon Redshift , Amazon EMR , and so on. About the author Naidu Rongal i is a Big Data and ML engineer at Amazon.

Metadata 105

Metadata Data Lake Modeling Data Warehouse 105

AWS Big Data

JULY 20, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale. To overcome these issues, Orca decided to build a data lake.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

AWS Big Data

FEBRUARY 6, 2023

To run the scripts, refer to the Amazon MWAA analytics workshop. format(S3_BUCKET_NAME), 's3://{}/data/aggregated/green'.format(S3_BUCKET_NAME), To learn more and get hands-on experience, start with the Amazon MWAA analytics workshop and then use the scripts in the GitHub repo to gain more observability of your DAG run.

Management 98

Management Interactive Publishing Metadata 98

AWS Big Data

OCTOBER 12, 2023

Amazon EMR Serverless provides a serverless runtime environment that simplifies the operation of analytics applications that use the latest open source frameworks, such as Apache Spark and Apache Hive. Karthik Prabhakar is a Senior Big Data Solutions Architect for Amazon EMR at AWS.

Big Data 134

Big Data Data-driven Management Visualization 134

AWS Big Data

APRIL 27, 2023

Amazon Athena supports the MERGE command on Apache Iceberg tables, which allows you to perform inserts, updates, and deletes in your data lake at scale using familiar SQL statements that are compliant with ACID (Atomic, Consistent, Isolated, Durable). The first task performs an initial copy of the full data into an S3 folder.

Data Lake 97

Data Lake Snapshot Optimization Data Transformation 97

AWS Big Data

APRIL 12, 2023

To learn more and get started with EMR on EKS, try out the EMR on EKS Workshop and visit the EMR on EKS Best Practices Guide page. About the Authors Melody Yang is a Senior Big Data Solution Architect for Amazon EMR at AWS. Her areas of interests are open-source frameworks and automation, data engineering and DataOps.

Testing 103

Testing Big Data Metadata Optimization 103