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

Cloudera

JUNE 2, 2022

In the modern data stack, there is a diverse set of destinations where data needs to be delivered. The newer “extract/load” tools seem to focus primarily on cloud data sources with schemas. This presents a unique set of challenges. and don’t necessarily have schemas.

Enterprise 101

Enterprise Data Lake Data Collection Data-driven 101

CIO Business Intelligence

JULY 13, 2022

In the modern data stack, there is a diverse set of destinations where data needs to be delivered. The newer “extract/load” tools seem to focus primarily on cloud data sources with schemas. This presents a unique set of challenges. and don’t necessarily have schemas.

Enterprise 62

Enterprise Data Lake Data Collection Data-driven 62

AWS Big Data

JUNE 6, 2023

Amazon EMR on EKS provides a deployment option for Amazon EMR that allows organizations to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). This performance-optimized runtime offered by Amazon EMR makes your Spark jobs run fast and cost-effectively. The EMR runtime provides up to 5.37

Optimization 68

Optimization Data Lake Cost-Benefit Management 68

Jet Global

JUNE 13, 2022

When migrating to the cloud, there are a variety of different approaches you can take to maintain your data strategy. Those options include: Data lake or Azure Data Lake Services (ADLS) is Microsoft’s new data solution, which provides unstructured date analytics through AI. Different Approaches to Migration.

Reporting 52

Reporting Data Lake Sales Operational Reporting 52

Jet Global

SEPTEMBER 19, 2023

What are the best practices for analyzing cloud ERP data? Data Management How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP? Self-service BI How can we rapidly build BI reports on cloud ERP data without any help from IT?

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Enterprise 52

Jet Global

SEPTEMBER 30, 2022

Understandably, optimizing cloud investment remains a top priority to ensure your company does not fall behind. What are the best practices for analyzing cloud ERP data? Data Management. How do we create a data warehouse or data lake in the cloud using our cloud ERP? Self-service BI.

Reporting 52

Reporting Data Warehouse Operational Reporting Enterprise 52