AWS Database Blog

Category: Analytics

Secure your Amazon Elasticsearch Service domain with Active Directory authentication and authorization

In this blog post, we show how you can secure your Amazon Elasticsearch Service (Amazon ES) domain with authentication and authorization based on Microsoft Active Directory (AD). You do so by using an Nginx reverse proxy, running custom authorization code. Amazon ES doesn’t have any built-in support for integration with AD/LDAP for access control. This […]

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Amazon Elasticsearch Service Now Supports the Seunjeon Plugin for Improved Korean Language Analysis

To ensure high fidelity parsing and matching for Korean text, Amazon Elasticsearch Service (Amazon ES) now supports the Seunjeon plugin. Using this plugin, you can create a custom analyzer that gives your users better results. Processing Asian languages for search When you use a search engine, you type words into the search box. The search […]

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Analyzing Amazon Elasticsearch Service Slow Logs Using Amazon CloudWatch Logs Streaming and Kibana

Some of our customers have asked for guidance on analyzing Amazon Elasticsearch Service (Amazon ES) slow logs efficiently. Here is what one of these customers said: “We want to identify, understand, and troubleshoot any slow-running queries in our Amazon Elasticsearch Service environment, so we can fix the application that’s submitting them. We’ve read that Elasticsearch […]

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Get Started with Amazon Elasticsearch Service: Use Dedicated Master Instances to Improve Cluster Stability

Welcome to this introductory series on Elasticsearch and Amazon Elasticsearch Service (Amazon ES). In this and future articles, we provide the basic information that you need to get started with Elasticsearch on AWS. What dedicated master instances are and why you need them Dedicated master instances perform a single function in an Elasticsearch cluster: orchestration. […]

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Stream data into an Aurora PostgreSQL Database using AWS DMS and Amazon Kinesis Data Firehose

Using AWS Database Migration Service (AWS DMS), you can migrate data from various sources to most widely used commercial and open-source databases. The service supports homogenous migrations such as Oracle to Oracle. It also supports heterogeneous migrations between different database platforms, such as Oracle to Amazon Aurora or Microsoft SQL Server to MySQL. In addition, […]

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Simplify Data Warehouse Migration to Amazon Redshift Using New AWS Schema Conversion Tool Features

The AWS Schema Conversion Tool (AWS SCT) makes heterogeneous database migrations more predictable by automatically converting the source database schema and most of the database code objects to a format compatible with the target database. To help with migration of on-premises data warehouses to Amazon Redshift, the new version of AWS SCT adds the following important […]

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Audit Amazon Aurora Database Logs for Connections, Query Patterns, and More, using Amazon Athena and Amazon QuickSight

Amazon Aurora offers a high-performance advanced auditing feature that logs detailed database activity to the database audit logs in Amazon CloudWatch. If you are using Aurora 1.10.1 or greater, you can use advanced auditing to meet regulatory or compliance requirements by capturing eligible events like tables queried, queries issued, and connections and disconnections. You can […]

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Get Started with Amazon Elasticsearch Service: Set CloudWatch Alarms on Key Metrics

Welcome to this introductory series on Elasticsearch and Amazon Elasticsearch Service (Amazon ES). In this and future articles, we provide the basic information that you need to get started with Elasticsearch on AWS. While supporting the many thousands of Amazon Elasticsearch Service (Amazon ES) domains for our customers, our team has amassed significant experience with […]

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Viewing Amazon Elasticsearch Service Slow Logs

Today, Amazon Elasticsearch Service (Amazon ES) announced support for publishing slow logs to Amazon CloudWatch Logs. This new feature enables you to publish Elasticsearch slow logs from your indexing and search operations and gain insights into the performance of those operations. You can enable slow logs to identify whether a performance issue on your cluster […]

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Using Amazon Redshift for Fast Analytical Reports

With digital data growing at an incomprehensible rate, enterprises are finding it difficult to ingest, store, and analyze the data quickly while keeping costs low. Traditional data warehouse systems need constant upgrades in terms of compute and storage to meet these challenges. In this post, we provide insights into how AWS Premier Partner Wipro helped […]

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