CDW Research Hub

JULY 27, 2020

Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering. To help you better understand the ins and outs of using Snowflake and its unique features, we’ve developed a demo series called Sirius About Snowflake. Have questions? Contact us.

Structured Data 52

Structured Data Consulting Management IT 52

AWS Big Data

NOVEMBER 7, 2024

BladeBridge offers a comprehensive suite of tools that automate much of the complex conversion work, allowing organizations to quickly and reliably transition their data analytics capabilities to the scalable Amazon Redshift data warehouse. times better price performance than other cloud data warehouses.

Data Warehouse 94

Data Warehouse Reporting Big Data Data Lake 94

AWS Big Data

APRIL 10, 2024

and zero-ETL support) as the source, and a Redshift data warehouse as the target. The integration replicates data from the source database into the target data warehouse. Additionally, you can choose the capacity, to limit the compute resources of the data warehouse. For this post, set this to 8 RPUs.

Data Warehouse 104

Data Warehouse Analytics Metrics Snapshot 104

AWS Big Data

MARCH 21, 2024

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.

Data Warehouse 97

Data Warehouse Metrics Statistics Optimization 97

AWS Big Data

OCTOBER 30, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze your data using standard SQL and your existing business intelligence (BI) tools. Data ingestion is the process of getting data to Amazon Redshift.

Data Warehouse 87

Data Warehouse Sales Data Lake Recreation/Entertainment 87

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 111

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 111

Cloudera

OCTOBER 13, 2020

In the beginning, CDP ran only on AWS with a set of services that supported a handful of use cases and workload types: CDP Data Warehouse: a kubernetes-based service that allows business analysts to deploy data warehouses with secure, self-service access to enterprise data. That Was Then. Learn More, Keep in Touch.

Data Warehouse 99

Data Warehouse Machine Learning Visualization Data Lake 99

AWS Big Data

OCTOBER 23, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that lets you analyze your data at scale. Amazon Redshift Serverless lets you access and analyze data without the usual configurations of a provisioned data warehouse. Run cell #12.

Data Warehouse 87

Data Warehouse Metrics Broadcasting Dashboards 87

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 84

Data Warehouse Cost-Benefit Metadata Data-driven 84

AWS Big Data

AUGUST 21, 2024

The current scaling approach of Amazon Redshift Serverless increases your compute capacity based on the query queue time and scales down when the queuing reduces on the data warehouse. This post also includes example SQLs, which you can run on your own Redshift Serverless data warehouse to experience the benefits of this feature.

Optimization 86

Optimization Data Lake Data Warehouse Cost-Benefit 86

Laminar Security

JULY 19, 2023

To effectively protect sensitive data in the cloud, cyber security personnel must ensure comprehensive coverage across all their environments; wherever data travels, including cloud service providers (CSPs), data warehouses, and software-as-a-service (SaaS) applications.

Data Warehouse 91

Data Warehouse Data-driven Data Governance Measurement 91

AWS Big Data

NOVEMBER 8, 2024

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it cost-effective to analyze your data using standard SQL and business intelligence tools. However, if you want to test the examples using sample data, download the sample data. Amazon Redshift delivers price performance right out of the box.

Data Lake 94

Data Lake Data Warehouse Optimization Testing 94

AWS Big Data

JULY 27, 2023

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, easy, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the widely used cloud data warehouse.

Data Warehouse 88

Data Warehouse Analytics Metadata Dashboards 88

AWS Big Data

MARCH 18, 2024

Load generic address data to Amazon Redshift Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Redshift Serverless makes it straightforward to run analytics workloads of any size without having to manage data warehouse infrastructure. shapes.geoid as census_group_shape ,demo.*

Data Warehouse 91

Data Warehouse Visualization Snapshot Data-driven 91

AWS Big Data

MARCH 29, 2024

The skewness metrics of the job multistage-demo showed 9.53, which is significantly higher than others. You can choose Controls , and change filter conditions based on date time, Region, AWS account ID, AWS Glue job name, job run ID, and the source and sink of the data stores. For now, let’s filter with the job name multistage-demo.

Metrics 116

Metrics Visualization Dashboards Interactive 116

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. These costs impede the adoption of cloud-native data warehouses.

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

erwin

FEBRUARY 7, 2019

For example, manually managing data mappings for the enterprise data warehouse via MS Excel spreadsheets had become cumbersome and unsustainable for one BSFI company. Additionally, they were able to more easily manage mappings, code sets, reference data and data validation rules.

Metadata 96

Metadata Insurance Data-driven Cost-Benefit 96

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. Company data exists in the data lake. The Data Scientist.

Dashboards 98

Dashboards Visualization Data Warehouse Data Lake 98

Jet Global

JANUARY 5, 2021

Many AX customers have invested heavily in data warehouse solutions or in robust Power BI implementations that produce considerably more powerful reports and dashboards. It offers the benefits of a data warehouse–high-performance, sophisticated analysis capabilities and the capacity to manage and analyze very large data sets.

Reporting 98

Reporting Data Warehouse Finance Cost-Benefit 98

AWS Big Data

DECEMBER 4, 2024

With this new functionality, customers can create up-to-date replicas of their data from applications such as Salesforce, ServiceNow, and Zendesk in an Amazon SageMaker Lakehouse and Amazon Redshift. SageMaker Lakehouse gives you the flexibility to access and query your data in-place with all Apache Iceberg compatible tools and engines.

Data Integration 94

Data Integration Data Lake Statistics Data-driven 94

AWS Big Data

OCTOBER 25, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. For more information, reach out to your AWS account team to request a free consultation or a demo of Amazon Redshift.

Statistics 85

Statistics Data Warehouse Metadata Data Lake 85

Jet Global

SEPTEMBER 4, 2020

For more sophisticated multidimensional reporting functions, however, a more advanced approach to staging data is required. The Data Warehouse Approach. Data warehouses gained momentum back in the early 1990s as companies dealing with growing volumes of data were seeking ways to make analytics faster and more accessible.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

AWS Big Data

JUNE 28, 2023

There are two broad approaches to analyzing operational data for these use cases: Analyze the data in-place in the operational database (e.g. With Aurora zero-ETL integration with Amazon Redshift, the integration replicates data from the source database into the target data warehouse.

Data Warehouse 93

Data Warehouse Analytics Metrics Dashboards 93

Jet Global

JULY 29, 2020

While it has many advantages, it’s not built to be a transactional reporting tool for day-to-day ad hoc analysis or easy drilling into data details. Data warehouse (and day-old data) – To use OBIEE, you may need to create a data warehouse. Request a Free Demo Now. But does OBIEE stack up?

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

FineReport

JULY 16, 2021

When we talk about business intelligence system, it normally includes the following components: data warehouse BI software Users with appropriate analytical. Data analysis and processing can be carried out while ensuring the correctness of data. Data Warehouse. Data Analysis. INTERFACE OF BI SYSTEM.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

AWS Big Data

DECEMBER 12, 2023

Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries. You can use your preferred SQL clients to analyze your data in an Amazon Redshift data warehouse. For this demo, we log in with user Ethan.

Data Warehouse 105

Data Warehouse Management Finance Analytics 105

CIO Business Intelligence

NOVEMBER 25, 2024

Shannon takes responsibility for the “mistake” of selecting NetSuite and says in hindsight, Allegis would have avoided the need for two ERP implementations if leaders had dug deeper during the product demos. The demos [vendors] showed us were, ‘Click here and there and here are the results,’ and it appeared to work that way,” he says.

Digital Transformation 131

Digital Transformation Data Warehouse Data Governance Enterprise 131

CIO Business Intelligence

DECEMBER 13, 2023

An example of that is a data warehouse in Azure we brought in and offer as a service. All they have to do is map their data and upload it, and then new data is refueled overnight so they can get new analytics out.” We’ve inherited some of it after reorganizations that we develop and manage.

IT 104

IT Unstructured Data Data Warehouse Cost-Benefit 104

erwin

APRIL 2, 2021

And knowing the business purpose translates into actively governing personal data against potential privacy and security violations. Do You Know Where Your Sensitive Data Is? Data is a valuable asset used to operate, manage and grow a business. erwin Data Intelligence. Request Demo.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

AWS Big Data

APRIL 29, 2024

After a few minutes, you’ll have a fully functional big data environment with robust security management ready for your analytical workloads, as shown in the following screenshot. In this case, it’s dep-demo-eks-cluster-ap-northeast-1. This provides data security and orderly conduct of daily business operations.

Management 107

Management Big Data Data Warehouse Metadata 107

AWS Big Data

SEPTEMBER 4, 2024

In this post, we demonstrate how to use the AWS CDK and DSF to create a multi-data warehouse platform based on Amazon Redshift Serverless. DSF simplifies the provisioning of Redshift Serverless, initialization and cataloging of data, and data sharing between different data warehouse deployments.

Management 69

Management Data Warehouse Data Lake Testing 69

Cloudera

DECEMBER 3, 2024

Setup Ranger Policy to allow “rest-demo” access for sharing: Create a policy that will allow the “rest-demo” role to have read access to the Carriers table, but will have no access to read the Airports table. In this case I’m using a role named – “UnitedAirlinesRole” that I can use to share data.

Metadata 86

Metadata Data Warehouse ROI Snapshot 86

erwin

JUNE 26, 2020

Given the value this sort of data-driven insight can provide, the reason organizations need a data catalog should become clearer. It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., Request your own demo of erwin DI. The post Do I Need a Data Catalog?

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. On the Amazon S3 console, open the bucket odpf-demo-staging-EXAMPLE-BUCKET and create a folder called nyc_yellow_trip_data. Set Data processing units to 1/16 DPU.

Data Lake 101

Data Lake Data Processing Metadata Snapshot 101

AWS Big Data

JUNE 26, 2024

New feature: Custom AWS service blueprints Previously, Amazon DataZone provided default blueprints that created AWS resources required for data lake, data warehouse, and machine learning use cases. You can build projects and subscribe to both unstructured and structured data assets within the Amazon DataZone portal.

Data Lake 100

Data Lake Data Warehouse Unstructured Data Data Governance 100

AWS Big Data

DECEMBER 11, 2024

Organizations are building data-driven applications to guide business decisions, improve agility, and drive innovation. Many of these applications are complex to build because they require collaboration across teams and the integration of data, tools, and services. For Project name , enter a name (for example, demo).

Data Lake 106

Data Lake Data Warehouse Data-driven Big Data 106

Timo Elliott

OCTOBER 3, 2019

Richard Mooney showed off some of the new possibilities, with a demo of natural language querying, powered by machine learning. Karsten Ruf , in turn, took the audience through the detailed SAP roadmap around BW4/HANA V2 and the brand-new SAP Data Warehouse cloud. People, collaboration, and ease of use.

Data Warehouse 69

Data Warehouse Digital Transformation Machine Learning Strategy 69