AWS On Air’s Post

Discover how Starburst Galaxy streamlines data lake analytics on AWS, providing quick insights and simplifying data management #datalake #dataanalytics #aws

In this week's blog post, we examine three options to ingest data using Azure’s flagship data integration service, Data Factory. Read it now: https://hubs.la/Q01_7-lR0 #azure #data #analytics #bigdata #cloudcomputing #datalake #datafactory #adf

🤔 Ever wondered about the best choice between a Data Lake and a Data Warehouse? 🧐 🏊♀️ Dive into our latest blog post, showcasing our journey with TrackIt's Data Insights offering! 💡 Find insights on cost, scalability, and flexibility for large data volumes. Must-read for data aficionados! 👩💻👨💻 👉🏼 https://ow.ly/3G9b50PjlRw #DataLake #DataWarehouse #DataInsights #AWS #mediaandentertainment #awscommunity #apnproud #redshift Amazon Web Services (AWS)

🌊 Data Lake vs. Data Warehouse 📦 - How we Chose the Right Solution for our Data Insights Offering. Read the blog post here 👉 https://ow.ly/3G9b50PjlRw #aws #awscloud #cloudcomputing #awscommunity #media #apnproud #dataanalytics #datalake #datawarehouse #redshift

📚 New blog post! 🌊 Data Lake vs. Data Warehouse 📦 - How we Chose the Right Solution for our Data Insights Offering. Read it here 👉 https://ow.ly/vyL850PjlQm #aws #awscloud #cloudcomputing #awscommunity #media #apnproud #dataanalytics #datalake #datawarehouse #redshift

Excited to dive into the powerful features of Amazon Web Services (AWS) #QuickSight💡! From interactive #Dashboards to seamless data visualization, #AmazonQuickSight empowers businesses💼 to glean insights effortlessly. Read more👉 https://bit.ly/49Y6R4x #AWS #AmazonWebServices #Data #Analytics #Integration #BusinessIntelligence #Data #Visualization #Technology #AllCode

🌊 Data Lake vs. Data Warehouse - Making the Right Choice for Your Data Analytics. Read the blog post here 👉 https://ow.ly/qyUC50P4UkZ #aws #awscloud #cloudcomputing #awscommunity #media #apnproud #dataanalytics #datalake #datawarehouse #redshift

Unleashing the Power of Data: Tools for Real-time Processing and Ingestion Find out more about how to harness the power of the #data #lake over on The Data Science Dossier #podcast 👉https://lnkd.in/ebm5xgWy #datascience #aws #dataengineering

Yesterday I had the opportunity to join Tony Mullen on Amazon Web Services (AWS) Let’s Talk About Data Show to demonstrate how CDL Software are migrating their vehicle data from relational databases to a modern data platform. If you fancy giving it a watch, you can catch up with it on Twitch here: https://lnkd.in/eUTWBnpu In the show I give an overview of our approach for ingesting, transforming and querying our data, comparing the old and new solutions and discuss some of the challenges along the way! A show is never complete without a demo; we demonstrate an end to end implementation of the data platform using the excellent Road Safety Data made freely available by the Department for Transport (DfT), United Kingdom, preparing this data for consumption using Apache Hudi and interrogating this data using Amazon Athena and the Amazon OpenSearch Service. #aws #bigdata #apachehudi #dataengineering #datalake #datalakehouse #athena #opensearch

Curious about data lakes? A data lake is a storage repository that can rapidly ingest large amounts of raw data in its native format. As a result, business users can quickly access it whenever needed and data scientists can apply analytics to get insights. Unlike its older cousin – the data warehouse – a data lake is ideal for storing unstructured big data like tweets, images, voice and streaming data. But it can be used to store all types of data – any source, any size, any speed, any structure. You can learn more about AWS and Data Lakes at https://lnkd.in/gumGWaF8 #AWS