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 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

datapine

MARCH 27, 2019

Customer data management is the key to sustainable commercial success. Here, we’ll explore customer data management, offering a host of practical tips to help you embrace the power of customer data management software the right way. What Is Customer Data Management (CDM)? click to enlarge**. Cost-per-Click (CPC).

Management 129

Management Data-driven Dashboards Visualization 129

datapine

AUGUST 21, 2019

Number 6 on our list is a sales graph example that offers a detailed snapshot of sales conversion rates. With a host of interactive sales graphs and specialized charts, this sales graph template is a shining example of how to present sales data for your business. 6) Sales Conversion.

Sales 235

Sales Dashboards KPI Visualization 235

datapine

DECEMBER 17, 2019

But in this digital age, dynamic modern IT reports created with a state-of-the-art online reporting tool are here to help you provide viable answers to a host of burning departmental questions. The purpose is not to track every statistic possible, as you risk being drowned in data and losing focus.

Reporting 173

Reporting IT Key Performance Indicator Dashboards 173

datapine

JANUARY 21, 2020

The balance sheet gives an overview of the main metrics which can easily define trends and the way company assets are being managed. Our procurement dashboard above is not only visually balanced but also offers a clear-cut snapshot of every vital metric you need to improve your procurement processes at a glance.

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

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 85

Data Lake Analytics Snapshot Optimization 85