Jet Global

MARCH 4, 2020

A manufacturing Key Performance Indicator (KPI) or metric is a well defined and quantifiable measure that the manufacturing industry uses to gauge its performance over time. The only way to stay ahead in this fiercely competitive industry is through the implementation of manufacturing KPIs and metrics. What Is A Manufacturing KPI?

Manufacturing 80

Manufacturing Metrics Reporting KPI 80

AWS Big Data

DECEMBER 4, 2024

It’s the preferred choice when customers need more control and customization over the data integration process or require complex transformations. This flexibility makes Glue ETL suitable for scenarios where data must be transformed or enriched before analysis.

Data Integration 115

Data Integration Data Lake Statistics Data-driven 115

AWS Big Data

JULY 20, 2023

Prior to the creation of the data lake, Orca’s data was distributed among various data silos, each owned by a different team with its own data pipelines and technology stack. Moreover, running advanced analytics and ML on disparate data sources proved challenging.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

AWS Big Data

NOVEMBER 16, 2023

Redshift provisioned clusters also support query monitoring rules to define metrics-based performance boundaries for workload management queues and the action that should be taken when a query goes beyond those boundaries. A predicate consists of a metric, a comparison condition (=, ), and a value.

Enterprise 111

Enterprise Data Warehouse Snapshot Cost-Benefit 111

AWS Big Data

AUGUST 1, 2024

Migrating to Amazon Redshift offers organizations the potential for improved price-performance, enhanced data processing, faster query response times, and better integration with technologies such as machine learning (ML) and artificial intelligence (AI).

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

datapine

MARCH 27, 2019

Unless you take the necessary precautions, you run the risk of having to deal with multiple non-common data entries that may make your stats, facts, figures, and metrics inconsistent. Such inconsistencies can have a huge effect on the way data is organized through a host of different management systems within a company.

Management 129

Management Data-driven Dashboards Visualization 129

AWS Big Data

NOVEMBER 6, 2023

You can see the time each task spends idling while waiting for the Redshift cluster to be created, snapshotted, and paused. The following graph describes a simple data quality check pipeline using setup and teardown tasks. The Cluster Activity page gathers useful data to monitor your cluster’s live and historical metrics.

Metrics 122

Metrics Metadata Snapshot Management 122

Occam's Razor

DECEMBER 21, 2009

A best practice is to pull atleast some input metrics (Visits) with some attribute metrics (% New Visits), have something that denotes customer behavior (bounce rate) and it is criminal not to have atleast a couple outcome metrics (goal conversion rate, per visit goal value). In a second the table transforms into.

Metrics 94

Metrics KPI Reporting Visualization 94

FineReport

MAY 31, 2023

Financial Performance Dashboard The financial performance dashboard provides a comprehensive overview of key metrics related to your balance sheet, shedding light on the efficiency of your capital expenditure. While sales dashboards focus on future prospects, accounting primarily focuses on analyzing the same metrics retrospectively.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

AWS Big Data

FEBRUARY 1, 2023

We chose DynamoDB as our metadata store, which provides the latest details to the consumers to query the data effectively. Every dataset in our system is uniquely identified by snapshot ID, which we can search from our metadata store. Clients access this data store with an API’s.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Wayne Yaddow

FEBRUARY 26, 2025

Data engineers may include AI-based schema detection technologies into their continuous integration and continuous delivery (CI/CD) pipelines to fix formatting issues before they worsen. This quick feedback loop is crucial for ensuring data dependability and reducing downtime.

Data Transformation 52

Data Transformation Testing Data-driven Data Quality 52

Alation

AUGUST 26, 2021

BI leverages and synthesizes data from analytics, data mining, and visualization tools to deliver quick snapshots of business health to key stakeholders, and empower those people to make better choices. As lakes of data become oceans, locating that which is trustworthy and reliable grows more difficult — and important.

Metadata 64

Metadata Data Governance Dashboards Software 64

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. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

Smarten

DECEMBER 5, 2024

To accurately monitor and manage anomalies, the business must select an augmented analytics tool with comprehensive data visualization, data quality and anomaly monitoring tools, and the capacity to share and collaborate on information obtained through these tools.

Key Performance Indicator 62

Key Performance Indicator KPI Measurement Data Quality 62

AWS Big Data

DECEMBER 19, 2024

As data lakes increasingly handle sensitive business data and transactional workloads, maintaining strong data quality, governance, and compliance becomes vital to maintaining trust and regulatory alignment. This comparison will help guide you in making informed decisions on enhancing your data lake environments.

Data Lake 98

Data Lake IoT Metadata Testing 98

DataKitchen

JANUARY 23, 2023

It allows organizations to see how data is being used, where it is coming from, its quality, and how it is being transformed. DataOps Observability includes monitoring and testing the data pipeline, data quality, data testing, and alerting. Data lineage is static and often lags by weeks or months.

Testing 130

Testing Data Governance Data Quality Data-driven 130