erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on.

Data Governance 40

Data Governance Risk Metadata Management 40

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand.

Sales 52

Sales Data Warehouse Visualization Testing 52

CIO Business Intelligence

JANUARY 9, 2023

To fuel self-service analytics and provide the real-time information customers and internal stakeholders need to meet customers’ shipping requirements, the Richmond, VA-based company, which operates a fleet of more than 8,500 tractors and 34,000 trailers, has embarked on a data transformation journey to improve data integration and data management.

Data Strategy 109

Data Strategy Strategy Data Governance Marketing 109

AWS Big Data

OCTOBER 11, 2023

Due to this low complexity, the solution uses AWS serverless services to ingest the data, transform it, and make it available for analytics. The data ingestion process copies the machine-readable files from the hospitals, validates the data, and keeps the validated files available for analysis.

Visualization 94

Visualization Dashboards Data-driven Gap analysis 94

Alation

JANUARY 17, 2023

What if, experts asked, you could load raw data into a warehouse, and then empower people to transform it for their own unique needs? Today, data integration platforms like Rivery do just that. By pushing the T to the last step in the process, such products have revolutionized how data is understood and analyzed.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52

AWS Big Data

MARCH 3, 2023

Additionally, the scale is significant because the multi-tenant data sources provide a continuous stream of testing activity, and our users require quick data refreshes as well as historical context for up to a decade due to compliance and regulatory demands. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

Alation

AUGUST 11, 2022

Everybody’s trying to solve this same problem (of leveraging mountains of data), but they’re going about it in slightly different ways. Data fabric is a technology architecture. It’s a data integration pattern that brings together different systems, with the metadata, knowledge graphs, and a semantic layer on top.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

Alation

OCTOBER 28, 2021

At the outset, the organization must decide how data governance fits into the business goals and define objectives accordingly. For example, some goals might include: Determine competitive strategies. Too much access increases the risk that data can be changed or stolen. Remove Low Quality, Unused, or “Stale” Data.

Data Governance 52

Data Governance Measurement Modeling Metrics 52

AWS Big Data

JULY 20, 2023

Specifically, the system uses Amazon SageMaker Processing jobs to process the data stored in the data lake, employing the AWS SDK for Pandas (previously known as AWS Wrangler) for various data transformation operations, including cleaning, normalization, and feature engineering.

Data Lake 86

Data Lake Analytics Snapshot Optimization 86

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 101

Data Lake Management Metrics Data Warehouse 101

Occam's Razor

OCTOBER 19, 2010

Depending on the size of your company (translation: resources available and what's impactful and doable) here is the priority order that I recommend for you to execute your web analytics tools strategy right. They'll simply puke data faster and, if you implement them right, more efficiently. Happy Analytics!

Analytics 135

Analytics Testing Measurement Optimization 135

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. Does Data Virtualization support web data integration? In improving operational processes.

Visualization 134

Visualization Cost-Benefit Big Data Prescriptive Analytics 134

CIO Business Intelligence

NOVEMBER 7, 2023

Given the importance of sharing information among diverse disciplines in the era of digital transformation, this concept is arguably as important as ever. The aim is to normalize, aggregate, and eventually make available to analysts across the organization data that originates in various pockets of the enterprise.

Data Warehouse 142

Data Warehouse Digital Transformation Reporting Data-driven 142

CIO Business Intelligence

JANUARY 24, 2024

This flexibility renders agent assemblies an essential element in contemporary automation strategies. Gather/Insert data on market trends, customer behavior, inventory levels, or operational efficiency. Making strategic decisions like adjusting marketing strategies, reallocating resources, or initiating specific business processes.

IoT 116

IoT Machine Learning Optimization Internet of Things 116

Jet Global

AUGUST 24, 2023

According to a recent survey by the Harvard Business Review , 81% of respondents said cloud is very or extremely important to their company’s growth strategy. Although many companies run their own on-premises servers to maintain IT infrastructure, nearly half of organizations already store data on the public cloud.

Finance 52

Finance Reporting Data Integration Risk 52

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping is important for several reasons.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

MARCH 14, 2024

Jet streamlines many aspects of data administration, greatly improving data solutions built on Microsoft Fabric. It enhances analytics capabilities, streamlines migration, and enhances data integration. Through Jet’s integration with Fabric, your organization can better handle, process, and use your data.

Analytics 52

Analytics Management Reporting Enterprise 52

Jet Global

MAY 1, 2023

Other money-making strategies include adding users in a per-seat structure or achieving price dominance in the market due. This strategy will ultimately increase sales, and prove a competitive advantage. Strategic Objective Create a complete, user-friendly view of the data by preparing it for analysis. addresses).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52