AWS Big Data

JULY 19, 2023

You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model. Amazon Redshift provides built-in features to accelerate the process of modeling, orchestrating, and reporting from a dimensional model. Declare the grain of your data.

Modeling 69

Modeling Sales Data Warehouse Snapshot 69

datapine

NOVEMBER 13, 2019

It doesn’t matter how innovative your brand is or how groundbreaking your business model might be; if your business is ridden with glaring inefficiencies, your potential for growth is eventually going to get stunted. That way you will be able to significantly reduce errors, and increase your productivity levels.

Reporting 158

Reporting KPI Cost-Benefit Metrics 158

AWS Big Data

OCTOBER 11, 2023

Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities. These metrics help agents improve their call handle time and also reallocate agents across organizations to handle pending calls in the queue.

Management 107

Management Metadata Analytics Dashboards 107

AWS Big Data

JULY 20, 2023

This data is then used by various applications for streaming analytics, business intelligence, and reporting. Amazon SageMaker is used to build, train, and deploy a range of ML models. Additionally, SageMaker training jobs are employed for training the models. This ensures that the data is suitable for training purposes.

Data Lake 88

Data Lake Analytics Snapshot Optimization 88

datapine

JUNE 13, 2019

They give a snapshot of the company’s exercise at a specific moment in time to assess the situation and determine the best decision to make and the type of action to undertake. Using a professional business intelligence dashboard that works with real-time data will always let you up to date when sharing your insights.

Sales 264

Sales Reporting KPI B2B 264

FineReport

MAY 15, 2023

Use them as templates, sources of inspiration, and initial models to adapt to your specific business requirements. Focus metrics: The dashboard provides a holistic view of sales performance by tracking key metrics such as revenue, sales by city, and sale by state.

Dashboards 52

Dashboards Sales Metrics KPI 52

DataKitchen

MAY 10, 2021

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. Since 2008, teams working for our founding team and our customers have delivered 100s of millions of data sets, dashboards, and models with almost no errors. Tie tests to alerts.

Testing 214

Testing Manufacturing Data Quality Statistics 214

AWS Big Data

JUNE 9, 2023

This data is then projected into analytics services such as data warehouses, search systems, stream processors, query editors, notebooks, and machine learning (ML) models through direct access, real-time, and batch workflows. Snapshot queries on Merge On Read tables have higher query latencies than on Copy On Write tables.

Data Lake 116

Data Lake Metadata Optimization Statistics 116

AWS Big Data

MARCH 3, 2023

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects. Simon Guindon is an Architect at Tricentis. You can follow his Twitter @simongui.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

NOVEMBER 29, 2023

The team uses dbt-glue to build a transformed gold model optimized for business intelligence (BI). The gold model joins the technical logs with billing data and organizes the metrics per business unit. Models – dbt models are primarily written as a SELECT statement and saved as a.sql file.

Data Lake 106

Data Lake Management Metrics Data Warehouse 106

Alation

AUGUST 26, 2021

How Do Data Intelligence Tools Support Data Culture? BI and AI for Data Intelligence. Business Intelligence (BI) is explanatory and backward-looking. Artificial Intelligence and Machine Learning (AI & ML) are forward-looking. These future-oriented models are used to make predictions.

Metadata 64

Metadata Data Governance Dashboards Software 64