CIO Business Intelligence

AUGUST 9, 2023

In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. Organizations need massive amounts of data to build and train generative AI models. In turn, these models will also generate reams of data that elevate organizational insights and productivity. Learn more here.

Unstructured Data 97

Unstructured Data Modeling Data Architecture Enterprise 97

Cloudera

NOVEMBER 1, 2022

Through modern data architectures powered by CDP, including Cloudera-enabled data fabric, data lakehouse, and data mesh , DoD agencies can rapidly provision and manage innovative data engineering, data warehouse, and machine learning environments, with access to secured supply chain data stored in CDP Private Cloud.

Cost-Benefit 84

Cost-Benefit Data Architecture Risk IoT 84

AWS Big Data

MAY 17, 2023

The service has grown into a multifaceted service used by tens of thousands of customers to process exabytes of data on a daily basis (1 exabyte is equivalent to 119 billion song downloads ). One group performed extract, transform, and load (ETL) operations to take raw data and make it available for analysis.

Data Warehouse 115

Data Warehouse Cost-Benefit Sales Data-driven 115

CIO Business Intelligence

FEBRUARY 20, 2023

This certification requires deep understanding of Salesforce features and functionality, as well as the ability to model a role hierarchy, data model, and appropriate sharing mechanisms. The certification emphasizes testing, governance, and integration with external systems within an organization’s infrastructure.

Consulting 69

Consulting B2B Cost-Benefit Sales 69

AWS Big Data

APRIL 24, 2023

It allows you to access diverse data sources, build business intelligence dashboards, build AI and machine learning (ML) models to provide customized customer experiences, and accelerate the curation of new datasets for consumption by adopting a modern data architecture or data mesh architecture.

Data Lake 82

Data Lake Data Governance Cost-Benefit Machine Learning 82

Cloudera

FEBRUARY 15, 2024

Financial institutions must demonstrate robust risk accountability and governance, as well as maintain consumer protections. Cultural shift and technology adoption: Traditional banks and insurance companies must adapt to the emergence of fintech firms and changing business models.

Insurance 83

Insurance Data Architecture Risk Management Risk 83

Alation

APRIL 14, 2022

This is why, when data moves, it’s imperative for organizations to prioritize data discovery. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth. The Cloud Data Migration Challenge. A useful feature for exposing patterns in the data.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

IBM Big Data Hub

APRIL 27, 2022

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.

Management 83

Management Metadata Data Architecture Data Lake 83

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels.

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

Cloudera

MARCH 23, 2022

In fact, we recently announced the integration with our cloud ecosystem bringing the benefits of Iceberg to enterprises as they make their journey to the public cloud, and as they adopt more converged architectures like the Lakehouse. Simplify data management . 1: Multi-function analytics . 2: Open formats.

Metadata 88

Metadata Data Architecture Machine Learning Cost-Benefit 88

IBM Big Data Hub

JULY 13, 2023

This is the practice of creating, updating and consistently enforcing the processes, rules and standards that prevent errors, data loss, data corruption, mishandling of sensitive or regulated data, and data breaches. Data science tasks such as machine learning also greatly benefit from good data integrity.

Data Quality 66

Data Quality Data Integration Metadata Cost-Benefit 66

Jen Stirrup

MARCH 29, 2023

However, to turn data into a business problem, organizations need support to move away from technical issues to start getting value as quickly as possible. SAP Datasphere simplifies data integration, cataloging, semantic modeling, warehousing, federation, and virtualization through a unified interface. Why is this interesting?

Metadata 121

Metadata Data Warehouse Data Integration Business Intelligence 121

DataKitchen

JANUARY 23, 2023

Data lineage can also be used for compliance, auditing, and data governance purposes. DataOps Observability Five on data lineage: Data lineage traces data’s origin, history, and movement through various processing, storage, and analysis stages. What is missing in data lineage?

Testing 130

Testing Data Governance Data Quality Data-driven 130

AWS Big Data

DECEMBER 21, 2023

Overview of solution As a data-driven company, smava relies on the AWS Cloud to power their analytics use cases. smava ingests data from various external and internal data sources into a landing stage on the data lake based on Amazon Simple Storage Service (Amazon S3). This is the Data Mart stage.

Data Lake 93

Data Lake Data Warehouse Data-driven B2B 93

BI-Survey

FEBRUARY 6, 2020

ML helps users prepare data to enhance reports and to select appropriate data visualizations in visual analysis and dashboards. Architectures and modern tools which enable business users to search, prepare and analyze data will pave the way to reacting promptly to market changes.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

Birst BI

FEBRUARY 25, 2020

However, analytic silos can still be a huge problem if the business intelligence platform paired with Snowflake does not offer the right balance of IT governance and end-user self-service. Customers such as Crossmark , DJO Global and others use Birst with Snowflake to deliver the ultimate modern data architecture.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52