Flipboard

NOVEMBER 7, 2023

A common pattern customers use today is to build data pipelines to move data from Amazon Aurora to Amazon Redshift. “Data is at the center of every application, process, and business decision,” wrote Swami Sivasubramanian, VP of Database, Analytics, and Machine Learning at AWS, and I couldn’t agree more.

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Flipboard

NOVEMBER 26, 2023

Amazon Redshift ML empowers data analysts and database developers to integrate the capabilities of machine learning and artificial intelligence into …

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ML ML Data Analyst Artificial Intelligence 119

AWS Machine Learning Blog

DECEMBER 29, 2022

Many of the RStudio on SageMaker users are also users of Amazon Redshift , a fully managed, petabyte-scale, massively parallel data warehouse for data storage and analytical workloads. Users can also interact with data with ODBC, JDBC, or the Amazon Redshift Data API. Solution overview. RStudio Workbench license. 1 Public subnet.

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phData

FEBRUARY 9, 2023

Welcome to our AWS Redshift to the Snowflake Data Cloud migration blog! In this blog, we’ll walk you through the process of migrating your data from AWS Redshift to the Snowflake Data Cloud. Before we dive in, it’s important to note that there are multiple ways to migrate data from Redshift tables to Snowflake.

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Mlearning.ai

MARCH 1, 2023

In this article, we will discover how to build an ETL pipeline by consuming data from S3 to AWS Redshift via the Glue service and… Continue reading on MLearning.ai »

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Hacker News

MARCH 30, 2024

Modern, native SQL client with intuitive GUI tools to create, access, query & edit multiple relational databases: MySQL, PostgreSQL, SQLite, Microsoft SQL Server, Amazon Redshift, MariaDB, CockroachDB, Vertica, and Redis.

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SQL Database 181

Hacker News

OCTOBER 27, 2023

Scratch is an open-source alternative to BigQuery, Redshift, and Snowflake. GitHub - scratchdata/ScratchDB: Scratch is an open-source alternative to BigQuery, Redshift, and Snowflake. Runs on Clickhouse. Runs on Clickhouse.

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Hacker News

SEPTEMBER 6, 2023

Astronomers report the discovery of a new massive and quiescent galaxy at a high redshift. The galaxy, which received designation COSMOS-1047519, was detected using the Keck I telescope. The finding was detailed in a paper published August 29 on the pre-print server arXiv.

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Hacker News

NOVEMBER 15, 2023

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Data Science Dojo

JULY 6, 2023

Amazon Redshift: Amazon Redshift is a cloud-based data warehousing service provided by Amazon Web Services (AWS). Amazon Redshift allows data engineers to analyze large datasets quickly using massively parallel processing (MPP) architecture. Amazon Redshift Another popular cloud-based data warehouse.

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Hacker News

JULY 25, 2023

The newfound system, designated JADES-GS+53.12365-27.80454, turns out to be the least massive quiescent galaxy detected so far at a high redshift. By analyzing the data from the JWST Advanced Deep Extragalactic Survey (JADES), an international team of astronomers has discovered a new quiescent galaxy.

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Twilio Segment

JANUARY 11, 2021

Waiting hours for Redshift warehouses to sync? Here's how we reduced our sync times by 80%.

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AWS Machine Learning Blog

FEBRUARY 14, 2024

In this post, we discuss how to use the comprehensive capabilities of Amazon Bedrock to perform complex business tasks and improve the customer experience by providing personalization using the data stored in a database like Amazon Redshift.

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Data Science 101

MARCH 14, 2020

Amazon Redshift now has Pause and Resume Redshift, the data warehouse, now has the ability to pause compute during unused times. Announcing Tensorflow Quantum Google Announces an open source library for prototyping quantum machine learning models. Azure Functions now support Python 3.8 This saves on costs.

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Data Science 101

JANUARY 17, 2020

Amazon Builders’ Library is now available in 16 Languages The Builder’s Library is a huge collection of resources about how Amazon builds and manages software.

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Cloud Data Data Science Azure ETL 120

Smart Data Collective

OCTOBER 27, 2021

Amazon Redshift. Amazon Redshift is a fast and widely used data warehouse. In addition, Amazon Redshift ML can automatically create, train, and deploy Amazon SageMaker ML. You can also access real-time operational analytics with the capability of Amazon Redshift. Druid has no initial price. Conclusion.

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Analytics Analytics Data Warehouse Business Intelligence 115

Data Science 101

FEBRUARY 22, 2020

Amazon Redshift now supports Authentication with Microsoft Azure AD Redshift, a data warehouse, from Amazon now integrates with Azure Active Directory for login. Welcome to Cloud Data Science 8. This weeks news includes information about AWS working with Azure, time-series, detecting text in videos and more.

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AWS Machine Learning Blog

JULY 17, 2023

Amazon Redshift is a fully managed, fast, secure, and scalable cloud data warehouse. Organizations often want to use SageMaker Studio to get predictions from data stored in a data warehouse such as Amazon Redshift. Amazon Redshift natively supports cross-account data sharing when RA3 node types are used.

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Flipboard

AUGUST 17, 2023

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. Deploy the CloudFormation template Complete the following steps to deploy the CloudFormation template: Save the CloudFormation template sm-redshift-demo-vpc-cfn-v1.yaml yaml locally.

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Data Science 101

MARCH 14, 2020

Amazon Redshift now has Pause and Resume Redshift, the data warehouse, now has the ability to pause compute during unused times. Announcing Tensorflow Quantum Google Announces an open source library for prototyping quantum machine learning models. Azure Functions now support Python 3.8 This saves on costs.

Cloud Data 52

Cloud Data Data Science Data Warehouse Azure 52

AWS Machine Learning Blog

JUNE 13, 2023

By using services such as Amazon Redshift, Amazon RDS, Snowflake, Amazon Athena , and AWS Glue , it creates a scalable solution to integrate data from various sources. Shut down and delete the databases used (Amazon Redshift, Amazon RDS, Snowflake). It uses Amazon Redshift, Amazon RDS, Snowflake, and LLMs.

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phData

DECEMBER 13, 2023

Tool Integration: You can have prebuilt code to handle all the interactions with external tools like Redshift privileges or macros, which can work with the data loaded by Stitch. packages: - package: dbt-labs/snowplow version: 0.7.0 - git: "[link] revision: 0.9.2 - local: /opt/dbt/redshift Run dbt deps to install the packages.

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ODSC - Open Data Science

FEBRUARY 6, 2024

Snowflake vs. Amazon Redshift vs. Google BigQuery When it comes to cloud data warehouses, Snowflake, Amazon Redshift, and Google BigQuery are often at the forefront of discussions. Each platform offers unique features and benefits, making it vital for data engineers to understand their differences.

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Data Science Dojo

JULY 12, 2023

Data Storage Systems: Taking a look at Redshift, MySQL, PostGreSQL, Hadoop and others NoSQL Databases NoSQL databases are a type of database that does not use the traditional relational model. NoSQL databases are designed to store and manage large amounts of unstructured data.

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Tableau

DECEMBER 22, 2020

Plus, spatial updates across the stack: Tableau Prep, Amazon Redshift, and offline maps. We’re also including support for spatial data from Amazon Redshift databases, and offline maps for Tableau Server, so you can use Tableau maps in any environment and connect to your location data directly from more data sources. .

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AWS Machine Learning Blog

APRIL 16, 2024

Solution overview With SageMaker Studio JupyterLab notebook’s SQL integration, you can now connect to popular data sources like Snowflake, Athena, Amazon Redshift, and Amazon DataZone. The procedure for creating an Amazon Redshift connection closely mirrors that for a Snowflake connection. or later image versions.

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Towards AI

APRIL 10, 2024

Think of a VPC as a private space in the AWS cloud where we can place our resources, like EC2 instances, RDS, ECS (Elastic Container Service), EKS (Elastic Kubernetes Service), Redshift (Fully managed data warehouse service), and many more. This resource uses network configuration to communicate with others.

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phData

JUNE 6, 2023

For example, Oracle defines their VARCHARs in characters whereas AWS Redshift defines VARCHARs in bytes. This can lead to strings overflowing when you attempt to load your data into Redshift. When migrating from one platform to another, you run into situations where data types don’t perfectly match between both systems.

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AWS Machine Learning Blog

DECEMBER 7, 2023

Furthermore, utilizing Amazon Simple Storage Service (Amazon S3) buckets for input data repositories and Amazon Redshift for storing outcomes has facilitated centralized management of the entire procedure. This tool significantly expedited the process for our team, particularly in algorithmic modeling.

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Precisely

DECEMBER 28, 2023

In many cases, that will be a cloud-based analytics platform like Snowflake , Databricks , or Amazon Redshift for real-time insights. Eventually, your streaming data pipeline delivers the information to its final destination.

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Precisely

JUNE 2, 2023

How can insurance carriers bridge the gap between those legacy workhorse systems and modern cloud-based platforms like Snowflake , Databricks , Amazon Redshift, and others? Many organizations are using CDC technology to push data to cloud data platforms like Snowflake, Redshift, Databricks, and Kafka.

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ODSC - Open Data Science

MARCH 6, 2023

However, some of the less-popular ones that people don’t use nor intend to use were Storm, Redshift, MXNet, Jax, and Airflow, possibly due to more niche uses rather than the broader appeal of the more popular ones. A good amount of people intend to use Hugging Face Transformers, Kafka, MLFlow, PyTorch, and TensorFlow.

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Tableau

DECEMBER 22, 2020

Plus, spatial updates across the stack: Tableau Prep, Amazon Redshift, and offline maps. We’re also including support for spatial data from Amazon Redshift databases, and offline maps for Tableau Server, so you can use Tableau maps in any environment and connect to your location data directly from more data sources. .

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Alation

SEPTEMBER 8, 2022

We’ve also built connectors to key AWS data tools including; Amazon Redshift. Amazon EMR. Amazon Simple Storage Service (Amazon S3). Amazon Relational Database Service (Amazon RDS). Amazon Athena.

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ODSC - Open Data Science

JUNE 8, 2023

It also has an impressive list of integrations such as Amazon Redshift, Kafka, Python, Java, trino, DataHub, and others. LARUS creates value by accompanying the customer in facing changes in a purposeful way, supporting businesses with flexibility and competence, and identifying the most suitable way to simplify what is complex.

Machine Learning 52

Machine Learning Machine Learning Azure Data Science 52

Precisely

JANUARY 18, 2024

AWS Mainframe Modernization Precisely Data Replication for ( Precisely Connect ) replicates mainframe data in real time to AWS using resilient, high-performance data pipelines to services like Aurora, RDS, FSx, S3, EMR, AWS MSK, Redshift, Snowflake on AWS, and more.

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AWS Machine Learning Blog

NOVEMBER 29, 2023

You can import data directly through over 50 data connectors such as Amazon Simple Storage Service (Amazon S3), Amazon Athena , Amazon Redshift , Snowflake, and Salesforce. Choose Import data and select Tabular from the drop-down list. In this walkthrough, we will cover importing your data directly from Snowflake.

Data Preparation 101

Data Preparation ML ML Data Quality 101