At Netflix, the Big Data Platform team is responsible for building a reliable data analytics platform shared across the whole company. In general, Netflix product decisions are very data driven. So we play a big role in helping different teams to gain product and consumer insights from a multi-petabyte scale data warehouse (DW). Their use cases range from analyzing A/B tests results to analyzing user streaming experience to training data models for our recommendation algorithms. We shared our overall architecture in a previous blog post. The underpinning of our big data platform is that we leverage AWS S3 for our DW. This architecture allows us to separate compute and storage layers. It allows multiple clusters to share the same data on S3 and clusters can be long-running and yet transient (for flexibility). Our users typically write Pig or Hive jobs for ETL and data analytics. A small subset of the ETL output and some aggregated data is transferred to Teradata for interactive querying and reporting. On the other hand, we also have the need to do low latency interactive data exploration on our broader data set on S3. These are the use cases that Presto serves exceptionally well. Seven months ago, we first deployed Presto into production and it is now an integral part of our data ecosystem. In this blog post, we would like to share our experience with Presto and how we made it work for us!
Used to be that medical researchers came up with a theory, recruited subjects, and gathered data, sometimes for years. Now, the answers are already there in data collections on the cloud. All researchers need is the right question.
Fast data: The next step after big data Java World Open source technologies like Hadoop reimagined how to efficiently process petabytes upon petabytes of data using commodity and virtualized hardware, making this capability available cheaply to...
Big Data's Big Future in Health Care Motley Fool In the video below, from Market Checkup, the Motley Fool's health care-focused investing show, health care analysts Michael Douglass and David Williamson talk about big data and the exciting...
Preventing Customer Churn with Business Intelligence Software Business 2 Community While many applications of business intelligence require substantial technical expertise and resources, use cases do exist that organizations can apply right away.
BIG DATA & HADOOP ONLINE FREE WEBINAR USA Free Big Data Online Webinar on Understanding Hadoop and its Core Components Sept 11th, 2014 1:00 PM CDT/USA Enroll Now for our Free Online Webinar and learn from our Expert Big Data is the...
Clement Bitton's insight:
Don't know the organizer, or who is speaking. But hey free class is always good to get.
If you’ve ever wondered how your website is performing compared to the competition, our new Benchmarking reports in Google Analytics will help you find out. Analytics users can now compare their results to peers in their industry, choosing from 1600 industry categories, 1250 markets and 7 size buckets.
Clement Bitton's insight:
Do your analytics yourself if you can. If you can't ... Use this.
Many businesses pay between USD $100 thousand and $1 million for their business intelligence (BI) system. And yet a lot of corporate data isn't accessed by BI users which raises the question: How important is BI to your ...
ITProPortal Gartner: Big Data security should start with the data SiliconANGLE (blog) small__7562831366 One of the central requirements of Big Data is that you take a data-centric approach to cybersecurity.
Re/code Medicine's Big Problem with Big Data: Information Hoarding Re/code Researchers at IBM, Berg Pharma, Memorial Sloan Kettering, UC Berkeley and other institutions are exploring how artificial intelligence and big data can be used to develop...
Business Intelligence Takes to Cloud for Small Businesses CIO Long the purview of deep-pocketed enterprises, business intelligence software is increasingly making its way into small-and medium-sized businesses.
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