Peter James Thomas

OCTOBER 30, 2018

All the references I can find to it are modern pieces comparing it to the CDO role, so perhaps it is apochryphal. It may well be that one thing that a CDO needs to get going is a data transformation programme. This may purely be focused on cultural aspects of how an organisation records, shares and otherwise uses data.

Marketing 51

Marketing Strategy Data Architecture Data Strategy 51

AWS Big Data

NOVEMBER 15, 2023

For more information on this foundation, refer to A Detailed Overview of the Cost Intelligence Dashboard. Additionally, it manages table definitions in the AWS Glue Data Catalog , containing references to data sources and targets of extract, transform, and load (ETL) jobs in AWS Glue.

Dashboards 96

Dashboards Analytics Metadata Data Warehouse 96

AWS Big Data

NOVEMBER 16, 2023

Data Vault 2.0 allows for the following: Agile data warehouse development Parallel data ingestion A scalable approach to handle multiple data sources even on the same entity A high level of automation Historization Full lineage support However, Data Vault 2.0 JOB_NAME All The process name from the ETL framework.

Enterprise 86

Enterprise Data Warehouse Data Lake Optimization 86

AWS Big Data

NOVEMBER 13, 2023

Key considerations Gameskraft embraces a modern data architecture, with the data lake residing in Amazon S3. To grant seamless access to the data lake, we use the innovative capabilities of Redshift Spectrum, which is a bridge between the data warehouse (Amazon Redshift) and data lake (Amazon S3).

Data Warehouse 93

Data Warehouse Data Lake Analytics Data Science 93

Peter James Thomas

MARCH 9, 2020

I used to talk about carrying out a Situational Analysis of Data Capabilities, nowadays I am more likely to refer to a Data Capability Review. I make such reviews with respect to my own Data Capability Framework, which I introduced to the public in 2019 via A Simple Data Capability Framework.

Measurement 67

Measurement Strategy Data Strategy Modeling 67

AWS Big Data

MARCH 3, 2023

Data ingestion – Steps 1 and 2 use AWS DMS, which connects to the source database and moves full and incremental data (CDC) to Amazon S3 in Parquet format. Let’s refer to this S3 bucket as the raw layer. Data transformation – Steps 3 and 4 represent an EMR Serverless Spark application (Amazon EMR 6.9

Data Lake 84

Data Lake Dashboards Metrics Metadata 84

erwin

APRIL 16, 2024

The data mesh framework In the dynamic landscape of data management, the search for agility, scalability, and efficiency has led organizations to explore new, innovative approaches. One such innovation gaining traction is the data mesh framework. This empowers individual teams to own and manage their data.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

DataKitchen

JANUARY 23, 2023

It is important to have additional tools and processes in place to understand the impact of data errors and to minimize their effect on the data pipeline and downstream systems. These operations can include data movement, validation, cleaning, transformation, aggregation, analysis, and more. Are problems with data tests?

Testing 130

Testing Data Governance Data Quality Data-driven 130

Jet Global

MAY 1, 2023

that gathers data from many sources. Data Environment First off, the solutions you consider should be compatible with your current data architecture. We have outlined the requirements that most providers ask for: Data Sources Strategic Objective Use native connectivity optimized for the data source.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52