Statements (66)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:cloud_storage
|
| gptkbp:developed_by |
gptkb:Microsoft
|
| gptkbp:enables |
data ingestion
|
| https://www.w3.org/2000/01/rdf-schema#label |
Azure Data Lake
|
| gptkbp:integrates_with |
Azure services
|
| gptkbp:is_accessible_by |
gptkb:Azure_CLI
gptkb:Azure_Portal REST API SDKs |
| gptkbp:is_compatible_with |
gptkb:Azure_Synapse_Analytics
gptkb:Apache_Spark gptkb:Azure_Databricks |
| gptkbp:is_effective_against |
yes
|
| gptkbp:is_integrated_with |
gptkb:Azure_Machine_Learning
gptkb:Power_BI gptkb:Azure_Functions gptkb:Azure_Logic_Apps |
| gptkbp:is_optimized_for |
analytics workloads
|
| gptkbp:is_part_of |
gptkb:Azure_cloud_platform
Azure ecosystem |
| gptkbp:is_scalable |
yes
petabytes of data |
| gptkbp:is_used_by |
business analysts
data scientists |
| gptkbp:is_used_for |
data analysis
ETL processes data enrichment data integration data migration data science projects data reporting data backup data aggregation data modeling data warehousing data cleansing data profiling data archiving data orchestration |
| gptkbp:offers |
data analytics tools
data management capabilities data lifecycle management |
| gptkbp:provides |
gptkb:cloud_storage
data governance data lineage tracking high availability security features data exploration tools |
| gptkbp:released_in |
gptkb:2015
|
| gptkbp:storage |
unstructured data
structured data semi-structured data |
| gptkbp:supports |
gptkb:machine_learning
data cataloging data sharing data transformation data visualization multi-cloud environments multiple data formats real-time analytics big data analytics data replication data compliance |
| gptkbp:uses |
gptkb:Hadoop_Distributed_File_System_(HDFS)
|
| gptkbp:bfsParent |
gptkb:Azure
|
| gptkbp:bfsLayer |
4
|