Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. But what does this mean from a practitioner perspective?

Metrics 52

Metrics Dashboards Sales Reporting 52

AWS Big Data

JUNE 29, 2023

Kinesis Data Analytics for Apache Flink In our example, we perform the following actions on the streaming data: Connect to an Amazon Kinesis Data Streams data stream. View the stream data. Transform and enrich the data. Manipulate the data with Python. Provide the following SQL statement.

Data Analytics 101

Data Analytics Analytics IoT Data Lake 101

FineReport

APRIL 21, 2024

Tableau Desktop offers self-service analytics, while Tableau Server facilitates dashboard publishing. Features include interactive visualizations and native data connectors. It enables seamless data exploration, empowering quick decisions. Tableau provides rich visualization options, as seen with Ocado Retail’s success.

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

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. Fixed-size data files avoid further latency due to unbound file sizes.

Software 52

Software Data Lake Testing Cost-Benefit 52

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 122

Data Lake Management Metrics Data Warehouse 122

AWS Big Data

DECEMBER 4, 2024

These nodes can implement analytical platforms like data lake houses, data warehouses, or data marts, all united by producing data products. This strategy supports each division’s autonomy to implement their own data catalogs and decide which data products to publish to the group-level catalog.

Metadata 104

Metadata Data Governance Data Quality Data-driven 104

Jet Global

MAY 1, 2023

These sit on top of data warehouses that are strictly governed by IT departments. The role of traditional BI platforms is to collect data from various business systems. Strategic Objective Create a complete, user-friendly view of the data by preparing it for analysis. addresses).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

NOVEMBER 7, 2023

The answer depends on your specific business needs and the nature of the data you are working with. Both methods have advantages and disadvantages: Replication involves periodically copying data from a source system to a data warehouse or reporting database. The alternative to BICC is BI Publisher (BIP)​.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52

Jet Global

AUGUST 24, 2023

It streamlines data integration, ensures real-time access to accurate information, enhances collaboration, and provides the flexibility needed to adapt to evolving ERP systems and business requirements. Data transformation ensures that the data aligns with the requirements of the new cloud ERP system.

Finance 52

Finance Reporting Data Integration Risk 52

Jet Global

MAY 6, 2024

These tools excel at data integration, consolidating information from various financial systems (ERP, CRM, legacy) into a central hub. This eliminates data fragmentation, a major obstacle for AI. Additionally, they provide robust data transformation capabilities.

Finance 52

Finance Reporting Data Transformation Optimization 52

Jet Global

OCTOBER 1, 2024

Trino allows users to run ad hoc queries across massive datasets, making real-time decision-making a reality without needing extensive data transformations. This is particularly valuable for teams that require instant answers from their data. Data Lake Analytics: Trino doesn’t just stop at databases.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52

Jet Global

JULY 16, 2024

By providing a consistent and stable backend, Apache Iceberg ensures that data remains immutable and query performance is optimized, thus enabling businesses to trust and rely on their BI tools for critical insights. It provides a stable schema, supports complex data transformations, and ensures atomic operations.

Dashboards 52

Dashboards Data-driven Reporting Business Intelligence 52

Jet Global

AUGUST 9, 2023

Speed time to market with faster data migration, easier data transformation. Wands for SAP Wands for SAP empowers your finance team to leverage their existing Excel skills to streamline data entry to drive efficiencies in your month-end process. Time-to-value acceleration — Quick installation.

Finance 52

Finance Reporting Management Enterprise 52

Jet Global

MARCH 13, 2024

Complex Data Structures and Integration Processes Dynamics data structures are already complex – finance teams navigating Dynamics data frequently require IT department support to complete their routine reporting.

Reporting 52

Reporting Finance Data Quality Sales 52

Jet Global

APRIL 24, 2024

This approach allows you and your customers to harness the full potential of your data, transforming it into interactive, AI-driven conversations that can significantly enhance user engagement and insight discovery. Unlike competitors who lock you into their pre-built AI solutions, Logi AI empowers you with the freedom to choose.

Business Intelligence 52

Business Intelligence Dashboards Software Reporting 52

Jet Global

MARCH 14, 2024

Data Lineage and Documentation Jet Analytics simplifies the process of documenting data assets and tracking data lineage in Fabric. It offers a transparent and accurate view of how data flows through the system, ensuring robust compliance.

Analytics 52

Analytics Management Reporting Enterprise 52

Jet Global

OCTOBER 30, 2023

Together, CXO and Power BI provide you with access to insights from both EPM and BI data in one tool. You can now elevate their decision-making process by drilling down into more detailed data, and enriching EPM figures with non-financial data. Transforming Financial Reporting with Dynamic Dashboards Download Now 1.

Dashboards 52

Dashboards Reporting Operational Reporting Software 52

Jet Global

JULY 19, 2023

Data Connectivity Enhancements Data and content authors are the first users in the app building infrastructure and content. It is important for our customers to access advanced connectors and data transformation features so they can build a robust data layer.

Dashboards 52

Dashboards Visualization Reporting Interactive 52