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 98

Digital Transformation Cost-Benefit Informatics Data mining 98

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 93

Experimentation Data Lake Uncertainty Enterprise 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 88

Data Processing Testing Data Lake Data Integration 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 71

Optimization Data Lake Cost-Benefit Management 71

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 95

Digital Transformation Management Business Intelligence Internet of Things 95

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 81

Data Warehouse Sales Visualization Data Processing 81

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 Strategy Data Science 52

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 74

Data Lake Snapshot Optimization Data Transformation 74

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

Data Lake 88

Data Lake Analytics Snapshot Optimization 88

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 91

Optimization B2B Data Quality Sales 91

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 87

Machine Learning Data Lake Reporting Modeling 87

AWS Big Data

NOVEMBER 13, 2023

2:30 PM – 3:30 PM (PDT) Mandalay Bay ANT335 | Get the most out of your data warehousing workloads. 5:30 PM – 6:30 PM (PDT) Ceasars Forum ANT349-R | Advanced real-time analytics and ML in your data warehouse [REPEAT]. 2:30 PM – 3:30 PM (PDT) Mandalay Bay ANT335 | Get the most out of your data warehousing workloads.

Analytics 116

Analytics Data Lake Data Warehouse Data-driven 116

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 70

Data Lake Data Warehouse B2B Deep Learning 70

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 71

Big Data Data Warehouse Advertising OLAP 71

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 92

Data-driven Data Lake Machine Learning Cost-Benefit 92

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 62

Data Lake Metadata Business Analysis Data-driven 62

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

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