Get more insight into AWS Operations and Amazon Redshift performance with Looker Blocks
Looker can help you get more out of your AWS and Amazon Redshift investments by utilizing AWS usage data to understand how to improve performance and optimize resources.
Looker makes it easy to gain actionable insights by providing a flexible framework for users to explore and understand AWS metadata down to the event level.
28:37Do you need to extract value from the massive amount of data you are collecting every day? We can help modernize your data infrastructure on top of technologies such as Amazon Web Services (AWS) so y
37:55As companies investment in cloud computing platforms such as Amazon Web Services (AWS), they are confronted with a host of new challenges ranging from optimizing investment in reserving processing pow
1:00:10Massively Parallel Processing (MPP) Databases are an increasingly popular choice for organizations looking to offload their analytics processing. This webinar explores some of the MPP database options
57:55Provide your employees with the ability to answer and ask their own questions using Looker on Amazon Redshift. Learn about the state of the data landscape and how companies are using their big data to
21:53Jonathan Leedham, BI manager for Reed.co.uk, has been focusing on ending the reporting treadmill, democratizing data across the organization and delivering new business insights with cloud data wareho
1:03:24The Hadoop ecosystem has improved markedly over the past few years. Moreover, MPP databases seem to slot in nicely as complementary tools to map-reduce batch jobs, in that they allow analytics teams t
AWS continues to set the standard for delivering infrastructure services in the cloud. This paper describes what you get when you add Looker for data analytics to the mix.
Amazon Redshift is a fully managed, high-performance MPP data warehouse solution in the cloud that can scale up to a petabyte or more, while costing less than legacy data warehouses.
1:01:59Listen to this webinar and learn how Yahoo! has harnessed the power of big data to perform advanced user retention and cohort analysis.
In the post-cloud era, the traditional data warehousing model of moving “all data from everywhere” into an on-premises megaserver for advanced analytics breaks down
