AWS Big Data

FEBRUARY 1, 2023

AWS Glue for ETL To meet customer demand while supporting the scale of new businesses’ data sources, it was critical for us to have a high degree of agility, scalability, and responsiveness in querying various data sources. You can use it for analytics, ML, and application development.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

AWS Big Data

JULY 19, 2023

Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse that is used by tens of thousands of customers to process exabytes of data every day to power their analytics workload. Data can either be loaded when there is a new sale, or daily; this is where the inserted date or load date comes in handy.

Modeling 71

Modeling Sales Data Warehouse Snapshot 71

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. About the authors Manish Kola is a Data Lab Solutions Architect at AWS, where he works closely with customers across various industries to architect cloud-native solutions for their data analytics and AI needs.

Data Lake 82

Data Lake Data Analytics Analytics Data Processing 82

AWS Big Data

MARCH 3, 2023

In this post, we share how the AWS Data Lab helped Tricentis to improve their software as a service (SaaS) Tricentis Analytics platform with insights powered by Amazon Redshift. Finally, data integrity is of paramount importance. For users that require a unified view of software quality, this is unacceptable.

Software 52

Software Data Lake Testing Cost-Benefit 52

Cloudera

SEPTEMBER 12, 2022

A data fabric answers perhaps the biggest question of all: what data do we have to work with? Managing and making individual data sources available through traditional enterprise data integration, and when end users request them, simply does not scale — especially in light of a growing number of sources and volume.

Unstructured Data 72

Unstructured Data Data Architecture Data Lake Snapshot 72

AWS Big Data

MAY 19, 2023

Organizations across all industries have complex data processing requirements for their analytical use cases across different analytics systems, such as data lakes on AWS , data warehouses ( Amazon Redshift ), search ( Amazon OpenSearch Service ), NoSQL ( Amazon DynamoDB ), machine learning ( Amazon SageMaker ), and more.

Machine Learning 86

Machine Learning Metrics Management Big Data 86

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 107

Data Lake Management Metrics Data Warehouse 107

Jet Global

NOVEMBER 3, 2022

Microsoft Excel offers flexibility, but it’s missing so many of the elements required to assemble data quickly and easily for powerful (and accurate) financial narratives. The reports created within static spreadsheets are based on a snapshot of reality, taken the moment the data was exported from ERP. Interested in Power BI.

Finance 52

Finance Reporting Sales Dashboards 52

Jet Global

MAY 4, 2022

There is yet another problem with manual processes: the resulting reports only reflect a snapshot in time. As soon as you export data from your ERP software or other business systems, it’s obsolete.

Reporting 52

Reporting Finance Software Consulting 52

Jet Global

NOVEMBER 7, 2023

The Challenges of Extracting Enterprise Data Currently, various use cases require data extraction from your OCA ERP, including data warehousing, data harmonization, feeding downstream systems for analytical or operational purposes, leveraging data mining, predictive analysis, and AI-driven or augmented BI disciplines.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52

Jet Global

NOVEMBER 14, 2022

That might be a sales performance dashboard for your Chief Revenue Officer, a snapshot of “days sales outstanding” (DSO) for the A/R collections team, or an item sales trend analysis for product management. With the CXO Data Warehouse Adapter, you can access ERP data, planning and budgeting numbers, or external information.

Reporting 52

Reporting Sales Dashboards Metrics 52

Jet Global

OCTOBER 27, 2022

And that is only a snapshot of the benefits your finance users will enjoy with Angles for Deltek. Angles has been effective to providing us real-time financial and operational data that otherwise we would have to manually parse together. Interested in Business Analytics and Dashboards. Interested in Data Warehousing/BI Cubes.

Operational Reporting 52

Operational Reporting Reporting Finance Dashboards 52

Jet Global

MAY 24, 2022

All of that in-between work–the export, the consolidation, and the cleanup–means that analysts are stuck using a snapshot of the data. The answer lies in purpose-built reporting and analytics solutions that deliver real-time reports from multiple source systems, designed for finance users, which don’t require specialized IT expertise.

Finance 52

Finance Reporting Sales Software 52

Jet Global

MAY 25, 2022

Every time you do an export from your ERP system, you’re taking a snapshot of the data that only reflects a single moment in time. A static (therefore outdated) view of the business : Another major problem with manual processes is that they don’t reflect what’s happening in the business in real time.

Reporting 52

Reporting Finance Software Snapshot 52

Jet Global

MAY 2, 2022

The source data in this scenario represents a snapshot of the information in your ERP system. Researching that question requires substantial additional effort if your organization uses manual planning and budgeting processes. It’s not updated when someone records new transactions, and you can’t drill down to the details.

Sales 52

Sales Finance Reporting Software 52