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. The source data is usually in either structured or semi-structured formats, which are highly and loosely formatted, respectively.

Analytics 79

Analytics Data Warehouse Data Lake Metadata 79

Ontotext

FEBRUARY 12, 2024

This is especially beneficial when teams need to increase data product velocity with trust and data quality, reduce communication costs, and help data solutions align with business objectives. In most enterprises, data is needed and produced by many business units but owned and trusted by no one.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. Then, you transform this data into a concise format.

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

Alation

MARCH 14, 2023

It should make data available, maintain data consistency and accuracy, and support data security. Gartner describes it as ‘ a highly dynamic process employed to support the acquisition, organisation, analysis, and delivery of data in support of business objectives ’. Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

Wayne Yaddow

FEBRUARY 18, 2025

Introduction Data transformations and data conversions are crucial to ensure that raw data is organized, processed, and ready for useful analysis. Proper tooling & environment (Python ecosystem for Great Expectations, data warehouse credentials and macros fordbt).

Testing 52

Testing Data Transformation Data-driven Data Quality 52

IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. This requires a deep understanding of the organization’s strengths and weaknesses.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

Alation

DECEMBER 15, 2021

Identifying, standardizing, and governing authoritative data sources. On the other hand, an offensive data strategy supports business objectives. Integrating customer and market data for planning future business goals. Choose a Metadata Storage Option. Productive reuse of metadata.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Ontotext

JULY 12, 2024

The High-Performance Tagging PowerPack bundle The High-Performance Tagging PowerPack is designed to satisfy taxonomy and metadata management needs by allowing enterprise tagging at a scale. The automatic tagging specifically helps ensure consistency, which generates better data quality and deeper analytics and reporting.

Enterprise 59

Enterprise Cost-Benefit Metadata Data Integration 59

Data Virtualization

SEPTEMBER 12, 2024

Reading Time: 2 minutes In today’s data-driven landscape, the integration of raw source data into usable business objects is a pivotal step in ensuring that organizations can make informed decisions and maximize the value of their data assets. To achieve these goals, a well-structured.

Data Integration 52

Data Integration Business Objectives Data-driven Management 52

Ontotext

MAY 16, 2024

For companies who are ready to make the leap from being applications-centric to data-centric – and for companies that have successfully deployed single-purpose graphs in business silos – the CoE can become the foundation for ensuring data quality, interoperability and reusability.

Enterprise 52

Enterprise Data-driven Cost-Benefit Business Objectives 52

Cloudera

JANUARY 22, 2019

An organization needs a unified data management and analytics platform that can support its business objectives. Cloudera Enterprise is a one-stop shop for running analytics models and algorithms against multiple data sources across on-premises and cloud, and sometimes real-time data sources. Source: Cloudera.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

O'Reilly on Data

JULY 28, 2020

Internally, AI PMs must engage stakeholders to ensure alignment with the most important decision-makers and top-line business metrics. Put simply, no AI product will be successful if it never launches, and no AI product will launch unless the project is sponsored, funded, and connected to important business objectives.

Marketing 364

Marketing Experimentation Metrics Testing 364

AWS Big Data

OCTOBER 24, 2024

This will import the metadata of the datasets and run default data discovery. Tag the data fields Immuta automatically tags the data members using a default framework. Industry use cases The following are example industry use cases where Immuta and Amazon Redshift integration adds value to customer business objectives.

Data Warehouse 99

Data Warehouse Business Objectives Data-driven Management 99

Ontotext

AUGUST 21, 2024

Benefit of a Graph CoE For companies that are ready to make the leap from being applications centric to data centric—and for companies that have successfully deployed graphs in business silos—the CoE becomes the foundation for ensuring data quality and reusability across the organization.

Knowledge Discovery 52

Knowledge Discovery Cost-Benefit Data-driven Metadata 52