Lee Karpo M.S. Data Engineer III for Tokio Marine America talks about the wave of everyone moving to cloud and how it is important to understand the difference between Amazon Web Services (AWS), Snowflake, and Azure. #tokiomarinesolutions #aws #cloud
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Are you looking to improve the financial management of your cloud spending in 2024? Do you use, or plan to use: * Google Cloud BigQuery * Google Cloud Dataproc * Snowflake * Databricks, or * Amazon Web Services (AWS) EMR Are you are considering Unravel Data to help in adopting FinOps Foundation methodologies? If so, you could likely benefit from some independent vendor selection consultation. Drop me a message and I will make time to speak at a time convenient to you. #finops #databricks #snowflake #bigquery #cloudcostmanagement
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Check out my new on demand AWS Redshift course. AWS Redshift Data Platform Fundamentals exclusely on O'Reilly Enterprise organizations are continually shifting to innovative cloud services that will provide them with a rapid, efficient, scalable and industry leading solution. Amazon Redshift is a petabyte scale data platform as a Service (PaaS) that delivers high performance enterprise focused data services that are hosted and are fully scalable solutions without placing a massive investment in your enterprise infrastructure. Amazon Redshift also provides robust access to a variety of data analytics tools, compliance features, integration with other AWS services and even artificial intelligence/ machine learning applications that allow customers numerous opportunities to derive value with their current business intelligence tools. #oreilly #pearson #wiley #cloud #cloudcomputing #aws #awscloud https://lnkd.in/eGb_CsVX
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A very interesting course on Amazon Redshift, a cloud data warehouse service.
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Data Engineer @ JCC Manhattan | Data Modelling, Analytics, Integration | AWS, Python, SQL | MS in Computer Science at Rutgers University
You might have heard of AWS Redshift and AWS RDS But have you ever wondered where the differences between them lie ? Here are a few differences between AWS Redshift and RDS that I came across: Amazon Redshift is a fully managed data warehouse service that is optimized for high-performance analysis of large datasets using SQL queries. It is specifically designed for running complex queries on large amounts of structured data. Whereas, Amazon RDS is a relational database service that makes it easy to set up, operate, and scale a relational database in the cloud. Their main Use Cases are: Redshift is suitable for Online Analytical Processing workloads eg Generating reports from large amount of data RDS is suitable for Online Transactional Processing workloads eg Fetching a specific row of a table For further reading: https://lnkd.in/eem-749D https://lnkd.in/exzxyHcd https://lnkd.in/ei6W9cak #AWS #TechExploration #DataAnalytics #DataEngineering #CloudComputing #CloudServices
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🌟 Proud to unveil my latest cloud architecture project! 🌟 Harnessing the power of Amazon Redshift and Amazon S3, I've crafted a robust data pipeline to manage and analyze large datasets seamlessly in the cloud. 📈 Dive into the details and check out the Infrastructure as Code (IaC) on my GitHub account: https://lnkd.in/dBAcqnqZ Eager to hear your thoughts! #AWS #AmazonRedshift #AmazonS3 #CloudComputing #DataWarehousing #DataPipeline #IaC #CloudFormation #CloudArchitecture
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Reserve your virtual seat at December's Data Cloud Deep Dive. In just 45 minutes, learn how to superpower your pandas and sci-kit learn workloads with the help of the BigQuery leading scalable infrastructure ↓
Data Cloud Deep Dive December 14
google.smh.re
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Reserve your virtual seat at October’s Data Cloud Deep Dive. In just 45 minutes, learn how to superpower your pandas and sci-kit learn workloads with the help of the BigQuery leading scalable infrastructure ↓
Data Cloud Deep Dive December 14
google.smh.re
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Reserve your virtual seat at December's Data Cloud Deep Dive. In just 45 minutes, learn how to superpower your pandas and sci-kit learn workloads with the help of the BigQuery leading scalable infrastructure ↓
Data Cloud Deep Dive December 14
google.smh.re
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Reserve your virtual seat at December's Data Cloud Deep Dive. In just 45 minutes, learn how to superpower your pandas and sci-kit learn workloads with the help of the BigQuery leading scalable infrastructure ↓
Data Cloud Deep Dive December 14
google.smh.re
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Reserve your virtual seat at December's Data Cloud Deep Dive. In just 45 minutes, learn how to superpower your pandas and sci-kit learn workloads with the help of the BigQuery leading scalable infrastructure ↓
Data Cloud Deep Dive December 14
google.smh.re
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