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.

Data Processing 114

Data Processing Visualization Data Lake Data Processing 114

AWS Big Data

DECEMBER 21, 2023

The Data Platform team is responsible for supporting data-driven decisions at smava by providing data products across all departments and branches of the company. The departments include teams from engineering to sales and marketing. The data platform serves on average 60 thousand queries per day.

Data Lake 114

Data Lake Data Warehouse Data-driven B2B 114

Jet Global

MAY 1, 2023

Net sales of $386 billion in 2021 200 million Amazon Prime members worldwide Salesforce As the leader in sales tracking, Salesforce takes great advantage of the latest and greatest in analytics. They take their reports and showcase them through an instantaneous visualization on record pages.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 21, 2025

Unlocking the full potential of your data is about more than just visualizing it. True data transformation comes from applying insights to make impactful business decisions.

Dashboards 52

Dashboards Visualization Reporting Interactive 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 Visualization 52

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.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

MAY 6, 2024

Thorough data preparation and control act as the foundation, allowing finance teams to leverage the full power of Oracle’s AI and transform their financial operations, now or in the future. Imagine this: sales data in your CRM uses opportunity IDs, while your ERP system uses unique sales order numbers.

Finance 52

Finance Reporting Data Transformation Data-driven 52