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 78

Data Quality Metrics Visualization Dashboards 78

CIO Business Intelligence

MARCH 19, 2025

However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive. Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams.

IT 59

IT Data Governance Data-driven Metrics 59

Smart Data Collective

FEBRUARY 23, 2021

If you’re tracking a certain set of metrics without understanding why you’re tracking them in the first place, you’ll likely end up wasting your budget. Additionally, it could also lead to failed campaigns if those weren’t the metrics you were supposed to track. Not Having a Data Architecture Plan.

Big Data 142

Big Data Visualization Data Quality Data-driven 142

AWS Big Data

JANUARY 6, 2025

Refer to API Dimensions & Metrics for details. He has over 13 years of professional experience building and optimizing enterprise data warehouses and is passionate about enabling customers to realize the power of their data. He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

Analytics 94

Analytics Data Warehouse Big Data Metrics 94

AWS Big Data

NOVEMBER 22, 2024

This enables you to extract insights from your data without the complexity of managing infrastructure. dbt has emerged as a leading framework, allowing data teams to transform and manage data pipelines effectively.

Data Lake 83

Data Lake Data Warehouse Cost-Benefit Data Transformation 83

TDAN

JULY 17, 2024

If you haven’t heard about metrics stores yet, they’re “newish,” so you likely will. They are interesting to an extent, but mostly, they feel like a late-night re-run and remind me that data work is hard. So, what is a metrics store? Most of the young vendors trying to create this category will tell you that […]

Metrics 52

Metrics OLAP Data Lake Data Architecture 52

CIO Business Intelligence

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. It isn’t easy.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

CIO Business Intelligence

JANUARY 20, 2023

Truly data-driven companies see significantly better business outcomes than those that aren’t. According to a recent IDC whitepaper , leaders saw on average two and a half times better results than other organizations in many business metrics.

Data Lake 135

Data Lake Data-driven Finance Data Architecture 135

AWS Big Data

JANUARY 24, 2023

It contains references to data that is used as sources and targets in AWS Glue ETL (extract, transform, and load) jobs, and stores information about the location, schema, and runtime metrics of your data. The Data Catalog organizes this information in the form of metadata tables and databases.

Data Architecture 72

Data Architecture Metadata Data Lake Snapshot 72

AWS Big Data

OCTOBER 30, 2024

It shows the aggregate metrics of the files that have been processed by a auto-copy job. He has over 13 years of professional experience building and optimizing enterprise data warehouses and is passionate about enabling customers to realize the power of their data.

Data Warehouse 89

Data Warehouse Sales Data Lake Recreation/Entertainment 89

AWS Big Data

JANUARY 15, 2025

Need for a data mesh architecture Because entities in the EUROGATE group generate vast amounts of data from various sourcesacross departments, locations, and technologiesthe traditional centralized data architecture struggles to keep up with the demands for real-time insights, agility, and scalability.

IoT 100

IoT Machine Learning Metadata Data-driven 100

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 124

Data Lake Analytics Dashboards Metrics 124

AWS Big Data

NOVEMBER 7, 2024

He has over 13 years of professional experience building and optimizing enterprise data warehouses and is passionate about enabling customers to realize the power of their data. He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

Data Warehouse 96

Data Warehouse Reporting Big Data Data Lake 96

CIO Business Intelligence

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity. Data and cloud strategy must align.

Data Architecture 111

Data Architecture Data Integration IoT Data-driven 111

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 8: The DataKitchen Platform tracks collaboration, productivity and quality metrics. A DataOps implementation project consists of three steps.

Testing 152

Testing Metadata Dashboards Statistics 152

CIO Business Intelligence

SEPTEMBER 26, 2023

But before such catastrophes come to light, what metrics do we use — or should we use — to determine whether a publicly traded company has their information management house in order? Data Architecture, Data Management, Privacy The returns on crafting effective information management strategies are significant.

Strategy 124

Strategy Data Architecture Metrics Management 124

AWS Big Data

NOVEMBER 27, 2024

The transactional data from this website is loaded into an Aurora MySQL 3.05.0 (or The company’s business analysts want to generate metrics to identify ticket movement over time, success rates for sellers, and the best-selling events, venues, and seasons. The following diagram illustrates the solution architecture at a high-level.

Data Warehouse 93

Data Warehouse Analytics Testing Sales 93

TDAN

JUNE 15, 2022

Occasionally, I pick up on trends in my peripheral vision. These are trends that aren’t in the center of my professional field of view, but are out there on the edges. Obviously, these trends are in the center of someone’s field of view, and there are people out there who make a living tracking technology […].

Metrics 59

Metrics Technology Data Architecture Data Strategy 59

AWS Big Data

SEPTEMBER 7, 2023

The AWS Glue Data Catalog is a metastore of the location, schema, and runtime metrics of your data. AWS Glue Data Catalog stores information as metadata tables, where each table specifies a single data store. You can also graph job run metrics from the CloudWatch metrics console. Save and run the job.

Metadata 111

Metadata Dashboards Metrics Visualization 111

DataKitchen

JUNE 12, 2023

Data Journeys track and monitor all levels of the data stack, from data to tools to servers to code to tests across all critical dimensions. It supplies real-time statuses and alerts on start times, processing durations, test results, costs, and infrastructure events, among other metrics.

Testing 130

Testing Dashboards Data Science Data Lake 130

DataKitchen

JANUARY 3, 2022

A robust process hub is expressly designed to enable the data team to minimize the time spent maintaining working analytics and improve and update existing analytics with the least possible effort. Many large enterprises allow consultants and employees to keep tribal knowledge about the data architecture in their heads.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

DataKitchen

JUNE 1, 2022

What are my pass/fail metrics over time in production? Is my dashboard displaying the correct data? They have a Low Change Appetite: Teams have complicated in place data architectures and tools. There is no single pane of glass: no ability to see across all tools, pipelines, data sets, and teams in one place.

Risk 100

Risk Management Testing Dashboards 100

AWS Big Data

DECEMBER 4, 2024

While traditional extract, transform, and load (ETL) processes have long been a staple of data integration due to its flexibility, for common use cases such as replication and ingestion, they often prove time-consuming, complex, and less adaptable to the fast-changing demands of modern data architectures.

Data Integration 97

Data Integration Data Lake Statistics Data-driven 97

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

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

Octopai

JULY 9, 2020

It required banks to develop a data architecture that could support risk-management tools. Not only did the banks need to implement these risk-measurement systems (which depend on metrics arriving from distinct data dictionary tools), they also needed to produce reports documenting their use.

Insurance 98

Insurance Risk Management Machine Learning Metadata 98

Cloudera

JULY 20, 2021

Invest in maturing and improving your enterprise business metrics and metadata repositories, a multitiered data architecture, continuously improving data quality, and managing data acquisitions. Then back this up by embedding compliance and security protocols throughout the insights generation cycle.

Manufacturing 106

Manufacturing Forecasting IoT Insurance 106

CIO Business Intelligence

JULY 28, 2023

Prepare effectively: To deploy edge solutions successfully, you need to understand the types of in-house data involved, the existing data architecture, and application-performance requirements. Develop a roadmap: Align short-, medium-, and long-term objectives with business goals rather than focusing solely on the technology.

IT 97

IT IoT Reporting Data Architecture 97

AWS Big Data

FEBRUARY 1, 2024

The calculation methodology and query performance metrics are similar to those of the preceding chart. The query to generate this chart has similar performance metrics as the preceding chart. Ruben Falk is a Capital Markets Specialist focused on AI and data & analytics.

Data Warehouse 131

Data Warehouse Dashboards Risk Management Risk 131

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. Monitoring Amazon EMR was crucial because it played a vital role in the system for data ingestion, processing, and maintenance.

Data Lake 93

Data Lake Analytics Snapshot Data Quality 93

Sisense

SEPTEMBER 3, 2020

Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization. This includes database modeling, metrics definition, dashboard design , and creating and publishing executive reports. See an example: Explore Dashboard.

Statistics 97

Statistics Metrics Visualization Finance 97

CIO Business Intelligence

JUNE 9, 2023

Data management’s ROI Customers often ask me how to “make the case” for data management. To derive data management’s ROI, your organization can use your relevant key performance indicators (KPIs). Learn more about data architectures in my article here. Read about Dell Technologies Data Management here.

Strategy 116

Strategy Management Key Performance Indicator Cost-Benefit 116

Octopai

APRIL 8, 2020

While there are many factors that led to this event, one critical dynamic was the inadequacy of the data architectures supporting banks and their risk management systems. It required banks to maintain data architecture supporting risk aggregation at all times. These tools extract, sort, and integrate thousands of metrics.

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

DataKitchen

JULY 3, 2023

Teams Did Not Build Current Architecture For Rapid And Low-Risk Changes Those Systems Teams have complicated in-place data architectures and tools and fear changes to what is already running. Constant Data And Tool Errors In Production Teams cannot see across all tools, pipelines, jobs, processes, datasets, and people.

Testing 130

Testing Risk Data-driven Statistics 130

TDAN

FEBRUARY 14, 2023

One intriguing question I have been asked more than once is: “What metrics and measurements are useful for managing how effective your DBA group […] Readers of my writings sometimes ask me questions about databases and database administration, which I welcome.

Measurement 81

Measurement Metrics Management Data Architecture 81

AWS Big Data

FEBRUARY 6, 2023

Let’s look at some key metrics. After analyzing YARN logs by various metrics, you’re ready to design future EMR architectures. He also understands how to apply technologies to solve big data problems and build a well-designed data architecture. George Zhao is a Senior Data Architect at AWS ProServe.

Dashboards 83

Dashboards Optimization Data Lake Cost-Benefit 83

Cloudera

SEPTEMBER 10, 2024

However, according to The State of Enterprise AI and Modern Data Architecture report, while 88% of enterprises adopt AI, many still lack the data infrastructure and team skilling to fully reap its benefits. In fact, over 25% of respondents stated they don’t have the data infrastructure required to effectively power AI.

Cost-Benefit 52

Cost-Benefit Data Architecture Metrics Measurement 52