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. Manufacturing companies specifically use KPIs to monitor, analyze, and optimize operations, often comparing their efficiencies to those of competitors in the same sector.

Manufacturing 80

Manufacturing Metrics Reporting KPI 80

AWS Big Data

FEBRUARY 1, 2023

To further optimize and improve the developer velocity for our data consumers, we added Amazon DynamoDB as a metadata store for different data sources landing in the data lake. S3 bucket as landing zone We used an S3 bucket as the immediate landing zone of the extracted data, which is further processed and optimized.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Timo Elliott

JANUARY 18, 2021

What you see here is a Power BI dashboard, and in this particular case, it’s a world view of the situation in terms of confirmed cases around the world, and you can drill in and you’ll see all the different countries in the world, and then you see a snapshot view on the right-hand side of what the case levels are around the world.

IT 71

IT Dashboards Digital Transformation Data-driven 71

Occam's Razor

DECEMBER 21, 2009

In the best case scenario you have even optimized landing pages. 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).

Metrics 94

Metrics KPI Reporting Visualization 94

AWS Big Data

JUNE 28, 2023

read replicas, federated query, analytics accelerators) Move the data to a data store optimized for running analytical queries such as a data warehouse The zero-ETL integration is focused on simplifying the latter approach. They would like to get these metrics in near-real time using a zero-ETL integration. or higher version) database.

Data Warehouse 86

Data Warehouse Analytics Metrics Dashboards 86

AWS Big Data

MARCH 21, 2024

The data becomes available in Amazon Redshift within seconds, allowing you to use the analytics features of Amazon Redshift and capabilities like data sharing, workload optimization autonomics, concurrency scaling, machine learning, and many more. They would like to get these metrics in near real time using a zero-ETL integration.

Data Warehouse 90

Data Warehouse Metrics Statistics Optimization 90

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. All relevant events are then stored in a DynamoDB table. The code is deployed using the AWS CDK.

Data Architecture 67

Data Architecture Metadata Data Lake Snapshot 67

AWS Big Data

SEPTEMBER 13, 2023

Moreover, the framework should consume compute resources as optimally as possible per the size of the operational tables. The company wanted the ability to continue processing operational data in the secondary Region in the rare event of primary Region failure. The smaller the number of jobs and scripts, the better.

Data Lake 93

Data Lake Data Processing Metadata Snapshot 93

AWS Big Data

JUNE 9, 2023

Despite these capabilities, data lakes are not databases, and object storage does not provide support for ACID processing semantics, which you may require to effectively optimize and manage your data at scale across hundreds or thousands of users using a multitude of different technologies.

Data Lake 116

Data Lake Metadata Optimization Statistics 116

Cloudera

MAY 13, 2021

WM simplifies troubleshooting failed jobs and optimizing slow jobs. Performance metrics appear in charts and graphs. . We might find the root cause by realizing that a problem recurs at a particular time, or coincides with another event. . We compare the current run of a job to a baseline derived from performance metrics.

Management 71

Management Data Warehouse Interactive Reporting 71

Sisense

JANUARY 6, 2020

Analytics and sales should partner to forecast new business revenue and manage pipeline, because sales teams that have an analyst dedicated to their data and trends, drive insights that optimize workflows and decision making. Key ways to optimize insights for sales. Daily snapshot of opportunities – a summary.

Sales 91

Sales Forecasting Snapshot Management 91

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Life insurance needs accurate data on consumer health, age and other metrics of risk.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Cloudera

SEPTEMBER 17, 2020

When building CDP Data Engineering, we first looked at how we could extend and optimize the already robust capabilities of Apache Spark. But even then it has still required considerable effort to set up, manage, and optimize performance. Enterprise Data Engineering From the Ground Up.

Visualization 103

Visualization Metrics Statistics Optimization 103

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. The main idea of this architecture is to be event-driven with eventual consistency.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

MAY 19, 2023

Analytics professionals are tasked with deriving value from data stored in these distributed systems to create better, secure, and cost-optimized experiences for their customers. A common use case with this data would be to gather usage metrics on principals acting on your account’s resources for auditing and regulatory needs.

Machine Learning 85

Machine Learning Metrics Management Big Data 85

Alation

AUGUST 26, 2021

It relies on data intelligence software to be managed and optimized. 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. Profiling tools. Stewardship dashboards. Data lineage features.

Metadata 64

Metadata Data Governance Dashboards Software 64