This article walks you through five different probabilistic data types as well as the related data structures and algorithms in Pipeline and looks these them in detail.
This article looks at the pivotal analysis of multiple streams-with both human and robot service channels-and shows how you can conduct this kind of pivotal analysis.
In this blog, Senior Technical Expert Yuan Haisheng explained the differences and similarities between MaxCompute and Massively Parallel Processing (MPP) query engines.
In this blog, Cheng Yiding, CTO of YCLOSET, describes the data architecture of YCLOSET and explained the steps needed to build smart O&M tools based on MaxCompute.
In this article, we will look at how you can use BottledWater-pg and Confluent to create a real-time data exchange platform.
This article looks at the advantages and disadvantages of using stream computing, Lambda, and synchronous real-time (or triggered) data analysis.
In this tutorial, you will learn how to implement data access control solutions using the new Row Level Security feature introduced by SQL Server 2016.
In this tutorial, you will learn how to use the dynamic data masking feature of SQL Server 2016 to mask privacy data.
In this tutorial, you will learn how to enable SSL encryption for the network transport layer of your SQL Server.
In this tutorial, you will learn how to enable Always Encrypted to ensure that the data stored in your SQL databases on the cloud is continually encrypted.
In this tutorial, you have learned how to use certificates to implement database backup encryption in SQL Server 2014 and later.
In this article, we will explore how you can refine ranking algorithms for PostgreSQL through using tsvector or a multi-dimensional array.
The recent update of PostgreSQL 9.6 has made many enhancements in full-text search and has also brought us RUM plug-in support.
This article goes over how you can use PostgreSQL to create an efficient search engine for full-text searches and other query types including fuzzy and similarity queries.
This article discusses how you can use PostgreSQL along with ts_stat or MADlib for term frequency and Inverse document frequency analysis.
In this article, we will quickly go over some of the more common scenarios in which you can use PostgreSQL in the hope to inspire you to do more with PostgreSQL.
This article looks at row-level full-text searches in PostgreSQL and walks through how you can create one yourself.
This article shows how PostgreSQL, equipped with both GIN indexes and the cost-based optimizer (CBO), can automatically choose the most optimal query method.
In this article, we look at the location matching filtering syntax of PostgreSQL full-text searches and how you can use this syntax for textual analysis.
This article looks at how you can use PostgreSQL for more efficient searches with split fields.
