Announcing Suro
To make the best business and technical decisions, it is critical for Netflix to reliably collect application specific data in a timely fashion. At Netflix we deploy a fairly large number of AWS EC2 instances that host our web services and applications. They collectively emit more than 1.5 million events per second during peak hours, or around 80 billion events per day. The events could be log mes
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Clean sheet: how to release data or statistics in a spreadsheet
Releasing data or statistics in spreadsheets Follow these simple guidelines to make your data or statistical releases as useful as possible. Don’t merge cells. Sorting and other manipulations people may want to apply to your data assume that each cell belongs to one row and column. Don’t mix data and metadata (e.g. date of release, name of author) in the same sheet. The first row of a data sheet s
Database test data generator - Fill your database with random test data!
Generate test data for your database Quick recipes to test real applications with random data Table Structure: Export Format: Generated rows: Use an existing data model and customize it to mimick your table structure or create one from scratch. # Column title Data type Delete Add Another Column Clear table Why do I need to fill a database with random data? When developing an application, you would
New Fundamental Technologies in Data Mining | IntechOpen
What is Open Access? Open Access is an initiative that aims to make scientific research freely available to all. To date our community has made over 100 million downloads. It’s based on principles of collaboration, unobstructed discovery, and, most importantly, scientific progression. As PhD students, we found it difficult to access the research we needed, so we decided to create a new Open Access
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Data Integration Solutions: A Unified View for Trusted Data
Connect all your data sources into a clean, complete, and compliant source of truth Talend Data Integration lets you connect and manage all your data, no matter where it lives. Use more than 1,000 connectors and components to connect virtually any data source with virtually any data environment, in the cloud or on premises. Easily develop and deploy reusable data pipelines with a drag-and-drop int
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