CIO Business Intelligence

OCTOBER 13, 2023

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

AWS Big Data

FEBRUARY 26, 2025

Analytics remained one of the key focus areas this year, with significant updates and innovations aimed at helping businesses harness their data more efficiently and accelerate insights. From enhancing data lakes to empowering AI-driven analytics, AWS unveiled new tools and services that are set to shape the future of data and analytics.

Analytics 59

Analytics Data Lake Metadata Data Warehouse 59

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 152

Testing Metadata Dashboards Statistics 152

AWS Big Data

NOVEMBER 29, 2023

Zero-ETL integration also enables you to load and analyze data from multiple operational database clusters in a new or existing Amazon Redshift instance to derive holistic insights across many applications. Use one click to access your data lake tables using auto-mounted AWS Glue data catalogs on Amazon Redshift for a simplified experience.

Data Warehouse 112

Data Warehouse Analytics Data Lake Machine Learning 112

CIO Business Intelligence

JULY 26, 2023

The CIO delights in detailing the work of Re/Max’s technology team, which is building the pipelines and cloud-native applications to deliver agents in the field the most refined and insightful data from more than 500 MLS listing serivces in the US and Canada as quickly as possible.

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

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 83

Data Lake Data Architecture Data-driven Data Warehouse 83

CIO Business Intelligence

JUNE 28, 2023

The initial stage involved establishing the data architecture, which provided the ability to handle the data more effectively and systematically. “We Working with non-typical data presents us with a reality where encountering challenges is part of our daily operations.”

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

AWS Big Data

DECEMBER 19, 2024

Delta tables technical metadata is stored in the Data Catalog, which is a native source for creating assets in the Amazon DataZone business catalog. Access control is enforced using AWS Lake Formation , which manages fine-grained access control and data sharing on data lake data.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

Cloudera

DECEMBER 1, 2022

Full-stack observability is a critical requirement for effective modern data platforms to deliver the agile, flexible, and cost-effective environment organizations are looking for. RI is a global leader in the design and deployment of large-scale, production-level modern data platforms for the world’s largest enterprises.

Data Quality 84

Data Quality Metrics Data Lake Statistics 84

AWS Big Data

AUGUST 1, 2024

Success criteria alignment by all stakeholders (producers, consumers, operators, auditors) is key for successful transition to a new Amazon Redshift modern data architecture. The success criteria are the key performance indicators (KPIs) for each component of the data workflow.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99

AWS Big Data

FEBRUARY 6, 2023

Based on the statistics of individual and aggregated application runs per queue and per user, you can determine the existing workload distribution by user. He also understands how to apply technologies to solve big data problems and build a well-designed data architecture. You can find peak and off-peak hours in a day.

Dashboards 83

Dashboards Optimization Data Lake Cost-Benefit 83

Peter James Thomas

APRIL 9, 2019

These are as follows: General Data Articles. Data Visualisation. Statistics & Data Science. Analytics & Big Data. Data Visualisation. Statistics & Data Science. Data Science Challenges – It’s Deja Vu all over again! Analytics & Big Data. CDO perspectives.

Data-driven 49

Data-driven Statistics Data Science Big Data 49

AWS Big Data

JUNE 6, 2023

The purpose of this step is to understand our data quality statistics at the table level as well as at the ruleset level. Use the queries in this section to analyze your data quality metrics and create an Athena view to use to build a QuickSight dashboard in the next step.

Data Quality 78

Data Quality Metrics Visualization Dashboards 78

AWS Big Data

FEBRUARY 6, 2023

Refactoring coupled compute and storage to a decoupling architecture is a modern data solution. It enables compute such as EMR instances and storage such as Amazon Simple Storage Service (Amazon S3) data lakes to scale. George Zhao is a Senior Data Architect at AWS ProServe.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

Alation

JULY 7, 2022

In the 2010s, the growing scope of the data landscape gave rise to a new profession: the data scientist. This new role, combined with the creation of data lakes and the increasing use of cloud services, created new employment opportunities in data analytics, data architecture, and data management.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Peter James Thomas

AUGUST 18, 2018

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation. Of course some architectures featured both paradigms as well.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

CIO Business Intelligence

APRIL 4, 2023

In order to move AI forward, we need to first build and fortify the foundational layer: data architecture. This architecture is important because, to reap the full benefits of AI, it must be built to scale across an enterprise versus individual AI applications. Constructing the right data architecture cannot be bypassed.

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52