AWS Big Data

JULY 13, 2023

Altron is a pioneer of providing data-driven solutions for their customers by combining technical expertise with in-depth customer understanding to provide highly differentiated technology solutions. Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices.

Optimization 95

Optimization B2B Data Quality Sales 95

AWS Big Data

JANUARY 27, 2023

Verify all table metadata is stored in the AWS Glue Data Catalog. Consume data with Athena or Amazon EMR Trino for business analysis. Update and delete source records in Amazon RDS for MySQL and validate the reflection of the data lake tables. the Flink table API/SQL can integrate with the AWS Glue Data Catalog.

Data Lake 66

Data Lake Metadata Business Analysis Data-driven 66

AWS Big Data

NOVEMBER 15, 2023

Sessions can be big room breakout sessions, usually with a customer speaker, or more intimate and technical chalk talks, workshops, or builder sessions. Take a look, plan your week, and soak in the learning!

Data Lake 72

Data Lake Data Warehouse B2B Deep Learning 72

AWS Big Data

JULY 28, 2023

Clean up To clean up the resources created for this post, complete the following steps: On the Amazon S3 console, empty the bucket athena-federation-workshop-. If you’re using the AWS CLI, delete the objects in the athena-federation-workshop- bucket with the following code. Big Data Architect on Amazon Athena.

Big Data 87

Big Data Data Architecture Data Lake Interactive 87

AWS Big Data

NOVEMBER 8, 2023

Putting your data to work with generative AI – Innovation Talk Thursday, November 30 | 12:30 – 1:30 PM PST | The Venetian Join Mai-Lan Tomsen Bukovec, Vice President, Technology at AWS to learn how you can turn your data lake into a business advantage with generative AI. Reserve your seat now! Reserve your seat now!

Data-driven 98

Data-driven Machine Learning Data Lake Cost-Benefit 98

AWS Big Data

APRIL 11, 2023

By collecting data from store sensors using AWS IoT Core , ingesting it using AWS Lambda to Amazon Aurora Serverless , and transforming it using AWS Glue from a database to an Amazon Simple Storage Service (Amazon S3) data lake, retailers can gain deep insights into their inventory and customer behavior.

Forecasting 83

Forecasting Management IoT Data-driven 83

AWS Big Data

AUGUST 6, 2024

It ingests data from both streaming and batch sources and organizes it into logical tables distributed across multiple nodes in a Pinot cluster, ensuring scalability. Pinot provides functionality similar to other modern big data frameworks, supporting SQL queries, upserts, complex joins, and various indexing options.

OLAP 93

OLAP Analytics Visualization Dashboards 93

AWS Big Data

AUGUST 22, 2023

Gain a high-level understanding of AWS Glue and its components by using the following hands-on workshop. Vivek Shrivastava is a Principal Data Architect, Data Lake in AWS Professional Services. He is a big data enthusiast and holds 14 AWS Certifications.

Data Processing 94

Data Processing Testing Data Lake Data Integration 94

AWS Big Data

JUNE 6, 2023

Amazon EMR on EKS provides a deployment option for Amazon EMR that allows organizations to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). With EMR on EKS, Spark applications run on the Amazon EMR runtime for Apache Spark. Replace in the following code with the bucket name.

Optimization 77

Optimization Data Lake Cost-Benefit Management 77

AWS Big Data

FEBRUARY 16, 2023

For more information about automating dashboard deployment, customizing access to the QuickSight console, configuring for team collaboration, and implementing multi-tenancy and client user segregation, check out the videos Virtual Admin Workshop: Working with Amazon QuickSight APIs and Admin Level-Up Virtual Workshop, V2 on YouTube.

Data Warehouse 87

Data Warehouse Sales Visualization Data Processing 87

Andrew White

JANUARY 11, 2021

Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? You cannot get away from a formalized delivery capability focused on regular, scheduled, structured and reasonably governed data. Data lakes don’t offer this nor should they. E.g. Data Lakes in Azure – as SaaS.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

AWS Big Data

NOVEMBER 6, 2024

Second, because traditional data warehousing approaches are unable to keep up with the volume, velocity, and variety of data, engineering teams are building data lakes and adopting open data formats such as Parquet and Apache Iceberg to store their data.

Metadata 108

Metadata Data Lake Management Internet of Things 108

AWS Big Data

FEBRUARY 18, 2025

To optimize their security operations, organizations are adopting modern approaches that combine real-time monitoring with scalable data analytics. They are using data lake architectures and Apache Iceberg to efficiently process large volumes of security data while minimizing operational overhead.

Snapshot 76

Snapshot Optimization Data Lake Metadata 76