![]() Materialized views can be created based on one or more source tables using filters, projections, inner joins, aggregations, groupings, functions and other SQL constructs. Materialized views: subsequent queries that refer to the materialized views use the pre-calculated results to run much faster.Redshift Spectrum: lets you run queries against exabytes of data stored in Amazon S3.Massively Parallel Processing (MPP): Amazon Redshift automatically distributes the data and query load across all nodes.Advanced compression: column-based databases can be compressed much more than row-based databases because similar data is stored sequentially on disk.Because only the columns involved in queries are processed and the data in columns are stored sequentially on storage media, column-based systems require much less I/O, which greatly improves query performance. Data storage in columns: instead of storing data as a series of rows, Amazon Redshift organises the data by column.The most important features of Amazon Redshift are: It simplifies and enhances data analysis using standard SQL compatible with most existing BI tools. Not making use of workload management (WLM).Īmazon Redshift is a very fast, cloud-based analytical (OLAP) database, fully managed by AWS.To help you with your work in the cloud, we want to present the most common mistakes we have found when working with Redshift, the most important DW tool offered by AWS. All this experience has enabled us to create a group of highly qualified people who think/work in/for the cloud ![]() In many of them, we have helped in the technological evolution of numerous companies by migrating from their traditional Data Warehouse analytics and BI environments to Big Data environments.Īdditionally, at Cloud Practice we have been involved in cloud migrations and new developments of Big Data projects with Amazon Web Services and Google Cloud. ![]() So we have created a list with the most common errors you will need to avoid and we hope this will be a great aid for you.Īt Bluetab we have been working around data for over 10 years. ![]() Working at Bluetab, we have had the pleasure of using it many times during our good/bad times as well as this year 2020. Amazon Redshift can be considered to be one of the most important data warehouses currently and AWS offers it in its cloud. ![]()
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