Results for “data”

Guides users through downloading weather/climate data via Earth2Studio data source APIs, verifying variable support via the lexicon system, and generating a working Python fetch script.

Guides scaling decisions for Qdrant vector databases based on data volume, query throughput, latency, or query volume.

Manage Azure Data Lake Storage Gen2 with Python SDK for hierarchical file systems, big data analytics, and file/directory operations.

Quantifies the business and regulatory impact of a potential data breach by inventorying sensitive data, tracing data flows, scoring exposure vectors, and estimating regulatory fines using law-sourced figures.

Accelerate pandas workflows with GPU DataFrames using cuDF and dask-cuDF for ETL, joins, groupby, and large-scale data processing.

Merges CSV/TSV data with an InDesign template to generate personalized PDFs like certificates, badges, and catalogs.

Generate production-ready Dataverse SDK solutions with architecture recommendations, data models, and implementation code for common business use cases.

Execute KQL queries and manage Azure Data Explorer resources for fast, scalable big data analytics on log, telemetry, and time series data.

Send custom logs to Azure Monitor via Data Collection Rules and Data Collection Endpoints using the Java SDK.

Generate XML configuration files and execute SSMA Console commands for Oracle to SQL Server database migration, including schema conversion and data migration.

Creates an integration testing plan for .NET data access artifacts during Oracle-to-PostgreSQL database migrations, analyzing a project to identify repositories, DAOs, and service layers that interact with the database, then producing a structured testing plan.

Guides scaling decisions for Qdrant vector databases when data volume exceeds single-node capacity, covering tenant scaling, time window rotation, vertical scaling, and horizontal sharding.

Converts NVIDIA TAO DAFT datasets between supported formats using the `tao-daft convert` CLI.

Generate Python SDK setup, CRUD, bulk, and paging snippets for Microsoft Dataverse using official patterns.

Manage datasets, tables, and jobs in BigQuery. Run SQL queries, manage BigQuery resources, and perform basic data ingestion and analysis.

Capture application requirements and access patterns to design Azure Cosmos DB NoSQL data models using best practices and common patterns.

Validates NVIDIA TAO DAFT datasets for structure, schema, and cross-reference errors using the `tao-daft validate` CLI tool.

Wire UI controls to ViewModel properties with compile-time safety, change notification, and minimal overhead using .NET MAUI data bindings.

Enables the Google Analytics Data API, authenticates via gcloud, and creates customized reports using the v1beta client library.

Load sharded datasets (npy, Parquet, HDF5, raw binary) into distributed cuPyNumeric arrays using manual partitioning and Legate task launches.

Provides guidance for Oracle Database administration, SQL and PL/SQL development, performance tuning, security, ORDS, SQLcl, migrations, frameworks, and agent-safe database workflows.

Generate production-ready Python code using the Dataverse SDK with error handling, retry logic, OData optimization, and logging.

Write, review, and migrate code using NVIDIA DALI's imperative dynamic-mode API for efficient data loading and preprocessing.

Guides through client library installation and authentication setup for the Data Manager API, including ADC configuration and required scopes.

Generate production-ready Python code for Dataverse SDK with advanced patterns including error handling, batch operations, OData optimization, and Pandas integration.

Shuffle repetitive JSON objects safely by validating schema consistency before randomising entries.

Uploads audience members to Google products like Customer Match and mobile device ID audiences using the Data Manager API.

Run end-to-end calibration on the bundled sample dataset against a running AMC microservice to verify the stack works before processing real data.

Manage Hugging Face Hub resources: download/upload models, datasets, spaces; manage repos, buckets, collections, discussions, and cache; run SQL queries on datasets; authenticate and manage tokens.

Evaluates Power BI data model architecture, relationships, storage modes, and performance to identify optimization opportunities and ensure adherence to best practices.