Cloudera

SEPTEMBER 10, 2020

With that in mind, the agency uses open-source technology and high-performance hybrid cloud infrastructure to transform how it processes demographic and economic data with an Enterprise Data Lake (EDL). This confidence and trust is key to enabling them to use data to its fullest potential and generating business value. .

IT 104

IT Business Objectives Digital Transformation Data-driven 104

AWS Big Data

MARCH 7, 2023

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data. Data repositories represent the hub.

Analytics 79

Analytics Data Warehouse Data Lake Metadata 79

AWS Big Data

AUGUST 5, 2024

Customers often face challenges in locating and accessing the fragmented data they need, expending time and resources in the process. For instructions on ingesting metadata for AWS Glue tables, refer to Create and run an Amazon DataZone data source for the AWS Glue Data Catalog. Choose Add terms under GLOSSARY TERMS.

Metadata 59

Metadata Sales Data Lake Publishing 59

AWS Big Data

NOVEMBER 15, 2023

For more information, refer to Setting up AWS Identity and Access Management (IAM) permissions. Create an S3 bucket for the project and create a folder to upload the raw input data. Prerequisites For this walkthrough, you should have the following prerequisites: An AWS account.

Metadata 98

Metadata Sales Data Lake Big Data 98

AWS Big Data

AUGUST 1, 2024

Depending on your enterprise’s culture and goals, your migration pattern of a legacy multi-tenant data platform to Amazon Redshift could use one of the following strategies: Leapfrog strategy – In this strategy, you move to an AWS modern data architecture and migrate one tenant at a time. Vijay Bagur is a Sr. Technical Account Manager.

Data Warehouse 100

Data Warehouse KPI Optimization Cost-Benefit 100

AWS Big Data

MARCH 26, 2024

It is prudent to consolidate this data into a single customer view, serving as a primary reference for downstream applications, ranging from ecommerce platforms to CRM systems. This consolidated view acts as a liaison between the data platform and customer-centric applications.

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

BizAcuity

APRIL 1, 2023

Business Intelligence (BI) encompasses a wide variety of tools, applications and methodologies that enable organizations to collect data from internal systems and external sources, process it and deliver it to business users in a format that is easy to understand and provides the context needed for informed decision making.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Business Intelligence (BI) encompasses a wide variety of tools, applications and methodologies that enable organizations to collect data from internal systems and external sources, process it and deliver it to business users in a format that is easy to understand and provides the context needed for informed decision making.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

AWS Big Data

AUGUST 6, 2024

This has led to the emergence of real-time OLAP solutions, which are particularly relevant in the following use cases: User-facing analytics – Incorporating analytics into products or applications that consumers use to gain insights, sometimes referred to as data products.

OLAP 94

OLAP Analytics Visualization Dashboards 94

AWS Big Data

JUNE 13, 2023

For instructions on installing Keycloak, refer to Keycloak Downloads. To perform these steps, refer to Configure an automated email sync for federated SSO users to access Amazon QuickSight. Vamsi Bhadriraju is a Data Architect at AWS. Sign in to your Keycloak admin dashboard. For the Keycloak admin dashboard, use [link].

Metadata 52

Metadata Dashboards Business Intelligence Data Lake 52

Sisense

MAY 11, 2021

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

APRIL 7, 2025

For details about best practices, refer to Enable private access to Amazon Redshift from your client applications in another VPC. Navigate to the Salesforce Data Cloud setup and wait 30 seconds, then refresh the private connect route so the status shows as Ready. For additional details, refer to Part 1 of this series.

Management 81

Management Metrics Snapshot Data Lake 81