Search Results for "structured storage"

...Spark’s execution engine handles scheduling, shuffles, caching, and data locality so users can focus on transformations rather than infrastructure plumbing. With Spark Streaming (microbatches) and Structured Streaming, it delivers low-latency event processing suitable for real-time analytics. The built-in MLlib library provides scalable machine learning algorithms, while GraphX enables graph computations integrated with data pipelines. Spark supports multiple languages—Scala, Java, Python, R—and connects with many storage systems like HDFS, S3, Cassandra, and streaming platforms like Kafka, making it a versatile choice for big data workloads in analytics, ETL, and data science.

...Automatic immutable data lineage and data versioning of all data types. Autoscaling and parallel processing built on Kubernetes for resource orchestration. Uses standard object stores for data storage with automatic deduplication. Runs across all major cloud providers and on-premises installations. Automatic and intelligent versioning of even the largest data sets of unstructured and structured data. Git-like structure enables effective team collaboration. Full versioning for metadata including all analysis, parameters, artifacts, models, and intermediate results. ...

Store, manage, and understand your medical history in one secure place that only you can access. Built to protect your privacy with full end-to-end encryption. Convert all your Blood Tests, MRI Scans, TK Scans, Visit reports, and Hospital Admission Reports to JSON, safely store in the cloud, and discuss, annotate, and translate them with AI. Doctor Dok is a secure storage, digitization, sharing, and AI discovery platform for all your family and/or folder health data. All health history -...

REST Layer is a Go framework for building customizable REST APIs on top of pluggable storage backends. It is inspired by Python Eve and aims to reduce repetitive API boilerplate while still allowing developers to model business-specific resources. The framework focuses on schema-driven resources, validation, filtering, hooks, and storage abstraction. It is useful for teams that want to expose structured data through a REST interface without hand-writing every endpoint from scratch. ...