Data Architecture, Data Lake, Data Quality and Reference

Data Architecture

Data Lake

Data Quality

Reference

Automated data governance with AWS Glue Data Quality, sensitive data detection, and AWS Lake Formation

AWS Big Data

OCTOBER 10, 2023

Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake. Data confidentiality and data quality are the two essential themes for data governance.

Data Quality

Data Quality Data Governance Data Lake Testing

Visualize data quality scores and metrics generated by AWS Glue Data Quality

AWS Big Data

JUNE 6, 2023

AWS Glue Data Quality allows you to measure and monitor the quality of data in your data repositories. It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. An AWS Glue crawler crawls the results.

Data Quality

Data Quality Metrics Visualization Dashboards

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Webinars

Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Leading the Development of Profitable and Sustainable Products

How To Get Promoted In Product Management

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Analytics Vidhya

AWS Lake Formation 2022 year in review

AWS Big Data

JANUARY 31, 2023

Data governance is increasingly top-of-mind for customers as they recognize data as one of their most important assets. Effective data governance enables better decision-making by improving data quality, reducing data management costs, and ensuring secure access to data for stakeholders.

Data Lake

Data Lake Data Governance Data Architecture Machine Learning

Webinars

Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Leading the Development of Profitable and Sustainable Products

How To Get Promoted In Product Management

MORE WEBINARS

How Knowledge Graphs Power Data Mesh and Data Fabric

Ontotext

APRIL 10, 2024

Bad data tax is rampant in most organizations. Currently, every organization is blindly chasing the GenAI race, often forgetting that data quality and semantics is one of the fundamentals to achieving AI success. Sadly, data quality is losing to data quantity, resulting in “ Infobesity ”. “Any

Metadata

Metadata Data Lake Data Warehouse Data Quality

Demystifying Modern Data Platforms

Cloudera

SEPTEMBER 15, 2022

Mark: The first element in the process is the link between the source data and the entry point into the data platform. At Ramsey International (RI), we refer to that layer in the architecture as the foundation, but others call it a staging area, raw zone, or even a source data lake. What is a data fabric?

Data Lake

Data Lake Data Architecture Data-driven Data Warehouse

Convergent Evolution

Peter James Thomas

AUGUST 18, 2018

Convergent Evolution refers to something else. That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Of course some architectures featured both paradigms as well. So far so simple. This is the essence of Convergent Evolution. This required additional investments in metadata.

Data Lake

Data Lake Data Warehouse Data mining Statistics

The New Normal for FP&A: Data Analytics

Jedox

OCTOBER 22, 2020

The term “data analytics” refers to the process of examining datasets to draw conclusions about the information they contain. Data analysis techniques enhance the ability to take raw data and uncover patterns to extract valuable insights from it.

Data Analytics

Data Analytics Analytics Unstructured Data Data mining

How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data

Big Data Data Analytics Management Unstructured Data

Create an end-to-end data strategy for Customer 360 on AWS

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.

Data Strategy

Data Strategy Strategy Data Warehouse Prescriptive Analytics

A Day in the Life of a DataOps Engineer

DataKitchen

OCTOBER 11, 2021

First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. Figure 2: Example data pipeline with DataOps automation. In this project, I automated data extraction from SFTP, the public websites, and the email attachments.

Testing

Testing Metadata Dashboards Statistics

A Simple Data Capability Framework

Peter James Thomas

MAY 3, 2019

Control of Data to ensure it is Fit-for-Purpose. This refers to a wide range of activities from Data Governance to Data Management to Data Quality improvement and indeed related concepts such as Master Data Management. Data Architecture / Infrastructure.

Strategy

Strategy Data Architecture Data Quality Data Strategy

Strategically Approaching Graph Technologies

Ontotext

FEBRUARY 26, 2024

Firstly, on the data maturity spectrum, the vast majority of organizations I’ve spoken with are stuck in the information stage. They have massive amounts of data they’re collecting and storing in their relational databases, document stores, data lakes, and data warehouses. RDF vs LPG?

Technology

Technology Cost-Benefit Data-driven Metadata

Data democratization: How data architecture can drive business decisions and AI initiatives

IBM Big Data Hub

AUGUST 4, 2023

In turn, they both must also have the data literacy skills to be able to verify the data’s accuracy, ensure its security, and provide or follow guidance on when and how it should be used. Data democratization uses a fit-for-purpose data architecture that is designed for the way today’s businesses operate, in real-time.

Data Architecture

Data Architecture Data Lake Machine Learning Data Governance

A data strategy checklist for the journey to the data-driven enterprise

BI-Survey

DECEMBER 22, 2020

Business users often think that data is something technical that it is not their concern. While IT is happy to look after the technical storage and backup of data, they refer to line of business experts when it comes to quality and usability. In addition, their architecture must be made fit for digitalization.

Data-driven

Data-driven Data Strategy Strategy Enterprise

Data Leaders Brief

Automated data governance with AWS Glue Data Quality, sensitive data detection, and AWS Lake Formation

Visualize data quality scores and metrics generated by AWS Glue Data Quality

Webinars

Trending Sources

AWS Lake Formation 2022 year in review

Webinars

How Knowledge Graphs Power Data Mesh and Data Fabric

Demystifying Modern Data Platforms

Convergent Evolution

The New Normal for FP&A: Data Analytics

How Data Management and Big Data Analytics Speed Up Business Growth

Create an end-to-end data strategy for Customer 360 on AWS

A Day in the Life of a DataOps Engineer

A Simple Data Capability Framework

Strategically Approaching Graph Technologies

Data democratization: How data architecture can drive business decisions and AI initiatives

A data strategy checklist for the journey to the data-driven enterprise

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