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Getting started guide for near-real time operational analytics using Amazon Aurora zero-ETL integration with Amazon Redshift

AWS Big Data

There are two broad approaches to analyzing operational data for these use cases: Analyze the data in-place in the operational database (e.g. ETL pipelines can be expensive to build and complex to manage. ETL pipelines can be expensive to build and complex to manage. The following diagram illustrates this architecture.

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Unlock insights on Amazon RDS for MySQL data with zero-ETL integration to Amazon Redshift

AWS Big Data

The extract, transform, and load (ETL) process has been a common pattern for moving data from an operational database to an analytics data warehouse. ELT is where the extracted data is loaded as is into the target first and then transformed. ETL and ELT pipelines can be expensive to build and complex to manage.

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Best practices to implement near-real-time analytics using Amazon Redshift Streaming Ingestion with Amazon MSK

AWS Big Data

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, straightforward, and secure analytics at scale. You can run and scale analytics in seconds on all your data, without having to manage your data warehouse infrastructure.

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Introduction To The Basic Business Intelligence Concepts

datapine

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips.

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How BMO improved data security with Amazon Redshift and AWS Lake Formation

AWS Big Data

Data with this secured data classification is stored in encrypted form both in the data warehouse and in their data lake. Only users with required permissions are allowed to access data in clear text. AWS Lake Formation is a fully managed service that simplifies building, securing, and managing data lakes.

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Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

AWS Big Data

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Create an AWS Identity and Access Management (IAM role). View Amazon Forecast pricing for details.

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Take Your SQL Skills To The Next Level With These Popular SQL Books

datapine

Structured Query Language (SQL) is the most popular language utilized to create, access, manipulate, query, and manage databases. But before we do, let’s explore some interesting SQL facts: SQL assists in the structuring and management of information in a database, in addition to conducting searches for information using structures.