AWS Big Data

JULY 27, 2023

Amazon Redshift is a widely used, fully managed, petabyte-scale cloud data warehouse. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Amazon Redshift RA3 with managed storage is the newest instance type for Provisioned clusters.

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Testing Data Warehouse Data Processing Snapshot 96

AWS Big Data

DECEMBER 20, 2024

You can now generate data integration jobs for various data sources and destinations, including Amazon Simple Storage Service (Amazon S3) data lakes with popular file formats like CSV, JSON, and Parquet, as well as modern table formats such as Apache Hudi , Delta , and Apache Iceberg.

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AWS Big Data

SEPTEMBER 10, 2024

With the launch of Amazon Redshift Serverless and the various provisioned instance deployment options , customers are looking for tools that help them determine the most optimal data warehouse configuration to support their Amazon Redshift workloads. The following image shows the process flow.

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AWS Big Data

OCTOBER 17, 2023

With Amazon Redshift, you can use standard SQL to query data across your data warehouse, operational data stores, and data lake. Migrating a data warehouse can be complex. You have to migrate terabytes or petabytes of data from your legacy system while not disrupting your production workload.

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Data Warehouse Data Processing Data Lake Management 111

datapine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. The data warehouse. 1) The raw data.

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AWS Big Data

FEBRUARY 16, 2023

Amazon Redshift is the most widely used data warehouse in the cloud, best suited for analyzing exabytes of data and running complex analytical queries. Amazon QuickSight is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly get business insights from your data.

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AWS Big Data

DECEMBER 10, 2024

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. With its massively parallel processing (MPP) architecture and columnar data storage, Amazon Redshift delivers high price-performance for complex analytical queries against large datasets.

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AWS Big Data

MARCH 6, 2025

Tens of thousands of customers use Amazon Redshift for modern data analytics at scale, delivering up to three times better price-performance and seven times better throughput than other cloud data warehouses. The application has been tested successfully with versions v3.12.8 Create an OIDC IdP on IAM the console.

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AWS Big Data

NOVEMBER 17, 2023

dbt (DataBuildTool) offers this mechanism by introducing a well-structured framework for data analysis, transformation and orchestration. It also applies general software engineering principles like integrating with git repositories, setting up DRYer code, adding functional test cases, and including external libraries.

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Snapshot Data Processing Testing Data Warehouse 111

datapine

JULY 1, 2020

Moreover, a host of ad hoc analysis or reporting platforms boast integrated online data visualization tools to help enhance the data exploration process. Retail: Ad hoc data analysis proves particularly effective in loss prevention in the retail sector. Ad hoc analysis has served to revolutionize the healthcare sector.

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AWS Big Data

AUGUST 1, 2024

Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities. This makes sure the new data platform can meet current and future business goals.

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Data Warehouse KPI Optimization Cost-Benefit 115

AWS Big Data

JUNE 10, 2024

One of the key challenges in modern big data management is facilitating efficient data sharing and access control across multiple EMR clusters. Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated. Test access using Athena queries in the consumer account.

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Data Lake Metadata Data Warehouse Data Processing 118

AWS Big Data

JUNE 27, 2024

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. This enables you to use your data to acquire new insights for your business and customers. Document the entire disaster recovery process.

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AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. You can get faster insights without spending valuable time managing your data warehouse. Fault tolerance is built in. Choose Create workgroup.

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AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

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Cloudera

APRIL 21, 2021

We did add some additional capacity to make parts of the testing and validation process easier, but many clusters can upgrade with no additional hardware. Part of the reason we run a single multi-tenant cluster is to make it possible to join data from different departments and get a full picture of our business. Life on CDP.

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Testing Data Processing Interactive Data Warehouse 121

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

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Enterprise Data Warehouse Snapshot Cost-Benefit 111

CIO Business Intelligence

JUNE 9, 2022

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. Marketing-focused or not, DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

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AWS Big Data

MAY 7, 2024

It also makes it easier for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization to discover, use, and collaborate to derive data-driven insights. The architecture illustrates how the solution works in a multi-account environment, which is a common scenario.

Metadata 109

Metadata Data Lake Data Processing Data-driven 109

AWS Big Data

NOVEMBER 8, 2023

Because Gilead is expanding into biologics and large molecule therapies, and has an ambitious goal of launching 10 innovative therapies by 2030, there is heavy emphasis on using data with AI and machine learning (ML) to accelerate the drug discovery pipeline. This data volume is expected to increase monthly and is fully refreshed each month.

Data Lake 105

Data Lake Data Warehouse Cost-Benefit Optimization 105

AWS Big Data

DECEMBER 13, 2023

A CDC-based approach captures the data changes and makes them available in data warehouses for further analytics in real-time. usually a data warehouse) needs to reflect those changes in near real-time. This post showcases how to use streaming ingestion to bring data to Amazon Redshift.

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AWS Big Data

JUNE 3, 2024

Amazon Redshift is a fast, scalable cloud data warehouse built to serve workloads at any scale. This integration positions Amazon Redshift as an IAM Identity Center-managed application, enabling you to use database role-based access control on your data warehouse for enhanced security. Choose OAuth Config File.

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Paul Blogs on BI

SEPTEMBER 8, 2021

Well firstly, if the main data warehouses, repositories, or application databases that BusinessObjects accesses are on premise, it makes no sense to move BusinessObjects to the cloud until you move its data sources to the cloud. You also have the option of hosting with a third party.

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Data Warehouse Data Processing Data Lake Testing 59

CIO Business Intelligence

OCTOBER 17, 2024

The data factor I joined Liberty Dental about two and a half years ago, and the first big opportunity I saw was data, which was all over the place. We had a kind of small data warehouse on-prem. We created our data model in a way that satisfied the requirements of what we had a vision of.

Management 111

Management Insurance ROI Cost-Benefit 111

AWS Big Data

OCTOBER 20, 2023

The connectors were only able to reference hostnames in the connector configuration or plugin that are publicly resolvable and couldn’t resolve private hostnames defined in either a private hosted zone or use DNS servers in another customer network. Many customers ensure that their internal DNS applications are not publicly resolvable.

Data Processing 115

Data Processing Snapshot Data Warehouse Management 115

Smart Data Collective

MARCH 30, 2022

If you don’t understand the concept, you might want to check out our previous article on the difference between data lakes and data warehouses. Migrate data, workloads, and applications. Migrate data, workloads, and applications using the preferred pattern. We propose that you test cases in small steps.

Data Lake 116

Data Lake Cost-Benefit Data Warehouse Big Data 116

AWS Big Data

APRIL 25, 2024

As the queries finish running, an UNLOAD operation is invoked from the Redshift data warehouse to the S3 bucket in Account A. Cross-account access has been set up between S3 buckets in Account A with resources in Account B to be able to load and unload data. Test the connection, then save your settings.

Metadata 133

Metadata Data Processing Management Testing 133

AWS Big Data

OCTOBER 18, 2023

Apache Hive is a distributed, fault-tolerant data warehouse system that enables analytics at a massive scale. Spark SQL is an Apache Spark module for structured data processing. Navigate to the side menu Virtual clusters , then select the HiveDemo cluster , You can see an entry for the SparkSQL test job.

Big Data 105

Big Data Data Processing Interactive Testing 105

CIO Business Intelligence

MARCH 16, 2022

This phase includes the migration of our data warehouse and business intelligence capabilities, using Synapse and PowerBI respectively. It is important to differentiate between a cloud hosting strategy or solution and building a true cloud solution — which is the future state we all desire. Who did you involve and why?

Insurance 105

Insurance Cost-Benefit Data Processing Strategy 105

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. Your Chance: Want to test a professional analytics software? date, month, and year).

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Data Quality Metrics Data-driven Management 241

Cloudera

JANUARY 19, 2024

Supported AI models and services The SQL AI Assistant is not bundled with a specific LLM; instead it supports various LLMs and hosting services. The model can run locally, be hosted on CML infra or in the infrastructure of a trusted service provider. Log in to the Cloudera Data Warehouse service as DWAdmin.

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Data Warehouse Data Processing Optimization Modeling 72

Cloudera

AUGUST 31, 2020

Given the prohibitive cost of scaling it, in addition to the new business focus on data science and the need to leverage public cloud services to support future growth and capability roadmap, SMG decided to migrate from the legacy data warehouse to Cloudera’s solution using Hive LLAP. The case for a new Data Warehouse?

Management 66

Management Slice and Dice Data Warehouse Analytics 66

CIO Business Intelligence

SEPTEMBER 22, 2023

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 105

Management Advertising Data Lake Sales 105

AWS Big Data

AUGUST 27, 2024

His background is in data warehouse/data lake – architecture, development and administration. He is in data and analytical field for over 14 years. Ramesh Raghupathy is a Senior Data Architect with WWCO ProServe at AWS. He specializes in building and modernising analytical solutions.

Metrics 105

Metrics Dashboards Data Lake Optimization 105

IBM Big Data Hub

APRIL 8, 2024

Can Amazon RDS for Db2 be used for running data warehousing workloads? Answer : Yes, Amazon RDS for Db2 can support analytics workloads, but it is not a data warehouse. Amazon RDS Are there any constraints on the number of databases that can be hosted on an instance?

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Snapshot Data Warehouse Data Processing Management 68

AWS Big Data

SEPTEMBER 3, 2024

Amazon Redshift and Tableau empower data analysis. Amazon Redshift is a cloud data warehouse that processes complex queries at scale and with speed. Tableau’s extensive capabilities and enterprise connectivity help analysts efficiently prepare, explore, and share data insights company-wide. Choose OAuth Config File.

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Reporting Publishing Data Warehouse Management 109

AWS Big Data

NOVEMBER 8, 2023

Fast-track streaming ETL with AWS streaming data services: Learn how to build streaming data pipelines across data lakes and data warehouses. Learn best practices for performance, scale, and cost control in Amazon Kinesis Data Streams, Amazon MSK, Amazon Redshift streaming ingestion, and AWS Glue streaming.

Data-driven 105

Data-driven Machine Learning Data Lake Cost-Benefit 105