Data Transformation Enterprise Operational Reporting 
AWS Big Data
AUGUST 13, 2024
Introducing the SFTP connector for AWS Glue The SFTP connector for AWS Glue simplifies the process of connecting AWS Glue jobs to extract data from SFTP storage and to load data into SFTP storage. Solution overview In this example, you use AWS Glue Studio to connect to an SFTP server, then enrich that data and upload it to Amazon S3.
Cloudera
OCTOBER 11, 2021
Customers can now seamlessly automate migration to Cloudera’s Hybrid Data Platform — Cloudera Data Platform (CDP) to dynamically auto-scale cloud services with Cloudera Data Engineering (CDE) integration with Modak Nabu. Also, enterprises can tap into new technologies like Kubernetes.
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Jet Global
MAY 1, 2023
Traditional BI Platforms Traditional BI platforms are centrally managed, enterprise-class platforms. 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. addresses).
Jet Global
NOVEMBER 7, 2023
When extracting your financial and operational reporting data from a cloud ERP, your enterprise organization needs accurate, cost-efficient, user-friendly insights into that data. Enterprise-level organizations like yours often have multiple data sources and systems.
Jet Global
MAY 9, 2024
Data Extraction : The process of gathering data from disparate sources, each of which may have its own schema defining the structure and format of the data and making it available for processing. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization. What is an ETL pipeline?
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.
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.
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