AWS Big Data

JANUARY 31, 2023

We have collected some of the key talks and solutions on data governance, data mesh, and modern data architecture published and presented in AWS re:Invent 2022, and a few data lake solutions built by customers and AWS Partners for easy reference. Starting with Amazon EMR release 6.7.0,

Data Lake 90

Data Lake Data Governance Data Architecture Machine Learning 90

Cloudera

JUNE 2, 2022

This blog aims to answer two questions: What is a universal data distribution service? Why does every organization need it when using a modern data stack? Every organization on the hybrid cloud journey needs the ability to take control of their data flows from origination through all points of consumption.

Enterprise 104

Enterprise Data Lake Data Collection Data-driven 104

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

CIO Business Intelligence

MAY 10, 2023

On investing in capabilities: We’ve set up something called a BI Center of Excellence where we train and have workshops and seminars on a monthly basis that team members across Novanta can join to learn about how they could leverage data marts or data sources to build their own reporting.

Data-driven 120

Data-driven IT Digital Transformation Data Governance 120

CIO Business Intelligence

JULY 13, 2022

This blog aims to answer two questions: What is a universal data distribution service? Why does every organization need it when using a modern data stack? Every organization on the hybrid cloud journey needs the ability to take control of their data flows from origination through all points of consumption.

Enterprise 88

Enterprise Data Lake Data Collection Data-driven 88

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 99

Data-driven Machine Learning Data Lake Cost-Benefit 99

Cloudera

DECEMBER 8, 2020

Federated Learning is a paradigm in which machine learning models are trained on decentralized data. Instead of collecting data on a single server or data lake, it remains in place — on smartphones, industrial sensing equipment, and other edge devices — and models are trained on-device.

Machine Learning 85

Machine Learning Data Lake Reporting Data Collection 85

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 84

Forecasting Management IoT Data-driven 84

CIO Business Intelligence

APRIL 6, 2022

We are centered around co-creating with customers and promoting a systematic and scalable innovation approach to solve real-world customers problems—similar to Toyota leveraging Infosys Cobalt to modernize its vehicle data warehouse into a next-generation data lake on AWS. .

Experimentation 103

Experimentation Uncertainty Data Lake Enterprise 103

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. Let’s dive into the solution.

Big Data 88

Big Data Data Architecture Data Lake Interactive 88

CIO Business Intelligence

JUNE 28, 2023

“We transferred our lab data—including safety, sensory efficacy, toxicology tests, product formulas, ingredients composition, and skin, scalp, and body diagnosis and treatment images—to our AWS data lake,” Gopalan says. This allowed us to derive insights more easily.”

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

Cloudera

JUNE 16, 2022

During a customer workshop, Laila, as a seasoned former DBA, made the following commentary that we often hear from our customers: “Streaming data has little value unless I can easily integrate, join, and mesh those streams with the other data sources that I have in my warehouse, relational databases and data lake.

Data Lake 88

Data Lake Manufacturing Metadata Dashboards 88

AWS Big Data

APRIL 4, 2024

Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores. You can use simple SQL to analyze structured and semi-structured data, operational databases, and data lakes to deliver the best price/performance at any scale.

Big Data 78

Big Data Data Warehouse Advertising OLAP 78

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

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 88

Data Warehouse Sales Visualization Data Processing 88

AWS Big Data

JUNE 6, 2023

In the following code, replace the EKS endpoint as well as the S3 bucket then run the script: /bin/spark-submit --class ValueZones --master k8s://EKS-ENDPOINT --conf spark.kubernetes.namespace=data-team-a --conf spark.kubernetes.container.image=608033475327.dkr.ecr.us-west-1.amazonaws.com/spark/emr-6.10.0:latest amazonaws.com/spark/emr-6.10.0:latest

Optimization 78

Optimization Data Lake Cost-Benefit Management 78

CIO Business Intelligence

FEBRUARY 12, 2024

La trasformazione digitale implica il passaggio graduale alla nuova data platform per raccogliere e aggregare i dati dal data lake (con sistemi BIM, Business Information Modelling) e poi metterli su cruscotti e condurre le analisi con la business intelligence.

Digital Transformation 98

Digital Transformation Management Business Intelligence Internet of Things 98

AWS Big Data

AUGUST 6, 2024

git clone [link] cd near-realtime-apache-pinot-workshop npm i Deploy the AWS CDK stack to create the AWS Cloud infrastructure by running the following command and enter y when prompted. Enter the IP address that you want to use to access the Apache Pinot controller and broker in /32 subnet mask format.

OLAP 94

OLAP Analytics Visualization Dashboards 94

Andrew White

OCTOBER 22, 2021

Analytics Tactics (known outcome/known data/BI/analytics v unknown outcome/unknown data/data science/ML) 11. Data Hub Strategy 10. Lakehouse (data warehouse and data lake working together) 8. Data Literacy, training, coordination, collaboration 8. Business Innovation with D&A 6.

IT 52

IT Data Lake Data Science Strategy 52

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 109

Metadata Data Lake Management Internet of Things 109

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