2 one spot redshift bigdatacamp 1.02
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OneSpot is an advertising platform that uses Amazon Redshift, a fast, petabyte-scale data warehouse service from AWS, to analyze large amounts of customer data. Redshift uses a column-oriented design and cluster architecture to optimize for read performance at large scales. It provides standard SQL functionality and can scale to petabytes of data, making it easy for OneSpot to manage over 300 billion rows of customer data without requiring a dedicated database administrator.
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Scaling on AWS for the First 10 Million Users
AWS Summit 2014 Melbourne - Breakout 5
Cloud computing gives you a number of advantages, such as being able to scale your application on demand. As a new business looking to use the cloud, you inevitably ask yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We will show you how to best combine different AWS services, make smarter decisions for architecting your application, and best practices for scaling your infrastructure in the cloud.
Presenter: Craig Dickson, Solutions Architect, Amazon Web Services
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AWS as a Data Platform for Cloud and On-Premises Workloads | AWS Public Secto...
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Scaling on AWS to the First 10 Million Users
An intro to the world of Amazon Web Services. Learn about AWS services through starting with day one (1 developer) to scaling your app to 10 Million users.
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Scaling on AWS for the First 10 Million Users
Cloud computing gives you a number of advantages, such as being able to scale your application on demand. As a new business looking to use the cloud, you inevitably ask yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We will show you how to best combine different AWS services, make smarter decisions for architecting your application, and best practices for scaling your infrastructure in the cloud.
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Since Amazon Redshift launched last year, it has been adopted by a wide variety of companies for data warehousing. In this session, learn how customers NASDAQ, HauteLook, and Roundarch Isobar are taking advantage of Amazon Redshift for three unique use cases: enterprise, big data, and SaaS. Learn about their implementations and how they made data analysis faster, cheaper, and easier with Amazon Redshift.
Using Data Lakes
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Level: Intermediate
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Hannah Marlowe - Consultant - Federal, AWS
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Data Warehouse Modernization - Big Data in the Cloud Success with Qubole on O...
The effective use of big data is the key to gaining a competitive advantage and outperforming the competition. This change demands that companies consume and blend enormous amount of data created from divergent and inherently mismatched sources, which represents a paradigm shift to the traditional data warehouse.
Companies need to modernize their data warehouse, augmenting it with a platform that allows storage, processing, exploration and analysis of large and diverse datasets without limiting the ability to deliver the data access, and flexibility responding to the needs of the business. That’s where Oracle Cloud and Qubole work together delivering a new breed of data platform —capable of storing and processing the overwhelming amount of data that on-premises big data deployments cannot handle.
Watch this on-demand webinar to understand:
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- How Qubole leverages Oracle Bare Metal Cloud to provide a turnkey big data service that optimizes cost, performance, and scale, enabling self-service data exploration.
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Deep Dive: Scaling Up to Your First 10 Million Users
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Scaling on AWS for the First 10 Million Users at Websummit Dublin
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Scaling on AWS for the First 10 Million Users at Websummit Dublin
In this talk from the Dublin Websummit 2014 AWS Technical Evangelist Ian Massingham discusses the techniques that AWS customers can use to create highly scalable infrastructure to support the operation of large scale applications on the AWS cloud.
Includes a walk-through of how you can evolve your architecture as your application becomes more popular and you need to scale up your infrastructure to support increased demand.
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講師: Ivan Cheng, Solution Architect, AWS
Join us for a series of introductory and technical sessions on AWS Big Data solutions. Gain a thorough understanding of what Amazon Web Services offers across the big data lifecycle and learn architectural best practices for applying those solutions to your projects.
We will kick off this technical seminar in the morning with an introduction to the AWS Big Data platform, including a discussion of popular use cases and reference architectures. In the afternoon, we will deep dive into Machine Learning and Streaming Analytics. We will then walk everyone through building your first Big Data application with AWS.
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Data warehousing in the era of Big Data: Deep Dive into Amazon Redshift
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AWS Summit London 2014 | Scaling on AWS for the First 10 Million Users (200)
AWS Summit London 2014 | Scaling on AWS for the First 10 Million Users (200)
AWS re:Invent 2016: AWS Database State of the Union (DAT320)
AWS re:Invent 2016: AWS Database State of the Union (DAT320)
Big Data & Analytics - Innovating at the Speed of Light
Big Data & Analytics - Innovating at the Speed of Light
AWS as a Data Platform for Cloud and On-Premises Workloads | AWS Public Secto...
AWS as a Data Platform for Cloud and On-Premises Workloads | AWS Public Secto...
Amazon Redshift in Action: Enterprise, Big Data, and SaaS Use Cases (DAT205) ...
Amazon Redshift in Action: Enterprise, Big Data, and SaaS Use Cases (DAT205) ...
Weathering the Data Storm – How SnapLogic and AWS Deliver Analytics in the Cl...
Weathering the Data Storm – How SnapLogic and AWS Deliver Analytics in the Cl...
Data Warehouse Modernization - Big Data in the Cloud Success with Qubole on O...
Data Warehouse Modernization - Big Data in the Cloud Success with Qubole on O...
Deep Dive: Scaling Up to Your First 10 Million Users
Deep Dive: Scaling Up to Your First 10 Million Users
Scaling on AWS for the First 10 Million Users at Websummit Dublin
Scaling on AWS for the First 10 Million Users at Websummit Dublin
Scaling on AWS for the First 10 Million Users at Websummit Dublin
Scaling on AWS for the First 10 Million Users at Websummit Dublin
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2 one spot redshift bigdatacamp 1.02
- 1. Amazon Redshift: How we managed 300 billion rows with no DBA Matt Cohen Founder & President matt@onespot.com December 10th, 2013 Copyright©2013OneSpot,Proprietary&Confidential 1
- 2. What is OneSpot? • OneSpot is a content advertising platform that distributes content as ads that people want to click on. – Fortune 2000 clients – Realtime ad exchange bidding – Adaptive machine learning – Seed funded until $5.3M Series A last month • Big data, big analysis Copyright©2013OneSpot,Proprietary&Confidential 2
- 3. What is Redshift? 1. When light from a receding object appears shifted to the red end of the spectrum – A consequence of the expanding universe. 2. A cheap, fast, Petabyte-scale, managed SQL data warehouse service from Amazon Web Services – A consequence of the expanding cloud ecosystem Copyright©2013OneSpot,Proprietary&Confidential 3
- 4. Why Redshift? • • • • • • • Cheap Fast Petabyte-scale Managed Service SQL Data Warehouse From AWS Copyright©2013OneSpot,Proprietary&Confidential 4
- 5. SQL Data Warehouse • Based on the commercial ParAccel database – Which is based on Postgres • Standards-based tools and knowledge • Built for data warehousing – – – – – Column-oriented Cluster architecture Read optimized No relational integrity Almost no SQL extensions Copyright©2013OneSpot,Proprietary&Confidential 5
- 6. SQL Data Warehouse • Column-oriented Copyright©2013OneSpot,Proprietary&Confidential 6
- 7. SQL Data Warehouse • Column-oriented • 11 different compression techniques Copyright©2013OneSpot,Proprietary&Confidential 7
- 8. SQL Data Warehouse • Cluster architecture Copyright©2013OneSpot,Proprietary&Confidential 8
- 9. SQL Data Warehouse • Read optimized • No relational integrity – Large block size (1MB) – Data replication – No indexes: sort and distribution keys • 2x live, 1x S3 • Almost no SQL extensions Copyright©2013OneSpot,Proprietary&Confidential 9
- 10. Fast = Cheap • Starts with 1 XL node – 85¢ an hour ($620/month) on demand – 50¢ an hour ($365) 1 year reserved • Benchmarks say: – Scales linearly – 5-10x faster than Hadoop/Hive Copyright©2013OneSpot,Proprietary&Confidential 10
- 11. Petabyte scale • Up to – 32 XL nodes (64 Terabytes) – 100 8XL nodes (1.6 Petabytes) Copyright©2013OneSpot,Proprietary&Confidential 11
- 12. Managed Service from AWS • Managed Service – Incredibly easy – Nice UI – Most SQL tools • From AWS – Free data transfer – Easy load from S3 – Use AWS Data Pipeline Copyright©2013OneSpot,Proprietary&Confidential 12
- 13. The TL;DR • Pros – – – – – Standard SQL Super easy Very fast Affordable Integrates with AWS – No DBA – No Sysadmin • Cons – Standard SQL – Almost no SQL extensions – Best with Star Schema • Big joins can be slow – – – – Copyright©2013OneSpot,Proprietary&Confidential No MapReduce Fixed columns Consistency 1.6 Pbyte limit 13
- 14. Amazon Redshift: How we managed 300 billion rows with no DBA Matt Cohen Founder & President matt@onespot.com December 10th, 2013 Copyright©2013OneSpot,Proprietary&Confidential 14