Results for “da”

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

Process data with high-performance DataFrames using Polars' expression-based API, lazy evaluation, and parallel execution for ETL, analytics, and pandas migration.

Streams change data capture from Microsoft SQL Server into Redpanda or Kafka using Redpanda Connect's microsoft_sql_server_cdc input, covering setup, configuration, and troubleshooting.

Handle files and binary data in n8n workflows correctly, covering the $binary vs $json split, reading/writing binary, preserving binary across transforms, and the agent-tool binary boundary.

Builds a configurable scraping agent that collects data from APIs, HTML, or RSS, enriches it with Gemini AI scoring, and stores results in Notion, Google Sheets, Supabase, or local files.

Process large ML datasets in parallel across CPU or GPU clusters, with streaming execution, multi-format I/O, and integration with Ray Train, PyTorch, and TensorFlow for batch inference and preprocessing pipelines.

Streams change data capture from Oracle Database into Redpanda or Kafka using the oracledb_cdc input in Redpanda Connect, which reads redo logs via LogMiner. Covers configuration, Oracle setup, checkpointing, and enterprise features.

Migrates historical donation or gift records into Salesforce NPSP using the NPSP Data Importer (BDI), covering DataImport__c staging, payment mapping, soft credits via Opportunity Contact Roles, GAU allocation, and campaign attribution.

Automate Brightdata web scraping and data collection operations through Composio's Brightdata toolkit via Rube MCP.

Query, filter, transform, and aggregate JSON data using jq, with practical patterns for shell pipelines and CLI integration.

Orchestrates Python data pipelines with Prefect flows, tasks, retries, caching, parallel execution, and deployments to work pools.

Process tabular data with Polars' expression API, lazy evaluation, and parallel execution for faster pandas-style workflows.

Automates Listclean data-cleaning operations through Composio's toolkit via Rube MCP, with tool discovery and connection management.

Automate web scraping and data extraction tasks using the Scrape Do toolkit via Rube MCP and Composio.

Administra bases de datos PostgreSQL, MySQL, Redis y SQLite: diseña esquemas, optimiza queries, configura migraciones, replicación y backups.

Write, review, debug, test, or optimize Python code using PyArrow arrays, schemas, tables, compute kernels, datasets, Parquet, and Arrow IPC.

Read and query onchain data using events, The Graph, Dune, Ponder, Multicall3, and WebSocket subscriptions, with guidance on block iteration limitations.

Convert books into supervised fine-tuning datasets and train style-transfer models that replicate an author's voice.

Build streaming data pipelines with Redpanda Connect using declarative YAML configs, Bloblang mappings, and component discovery. Covers running, linting, and dry-running pipelines.

Streams change data capture from PostgreSQL into Redpanda or Kafka using Redpanda Connect's postgres_cdc input, covering setup, snapshotting, and troubleshooting.

Maps FHIR R4 clinical resources (Patient, Observation, Condition, CarePlan, CodeableConcept) to Salesforce Health Cloud objects, including prerequisite configuration and cardinality handling.

Automate Stormglass IO operations through Composio's Stormglass IO toolkit via Rube MCP, including tool discovery, connection management, and execution.

Store and process large N-dimensional arrays with chunking, compression, and parallel I/O, integrating with NumPy, Dask, and Xarray for cloud-native scientific computing.

Process large-scale ML datasets with distributed streaming execution across CPU/GPU, supporting Parquet, CSV, JSON, images, and integration with PyTorch, TensorFlow, and Ray Train.

Streams Salesforce change data capture and platform events into Redpanda or Kafka using Redpanda Connect's salesforce_cdc input, covering setup, configuration, and operational details.

Process in-memory datasets with Polars' expression API, lazy evaluation, and parallel execution, including pandas migration patterns and I/O for CSV, Parquet, and JSON.

Discovers podcasts via the iTunes Search API, parses RSS feeds, downloads audio, transcribes with OpenAI Whisper, chunks transcripts, and upserts results into a database table.

Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions.

Builds a scheduled, AI-powered data collection agent that scrapes public sources, enriches results with Gemini Flash, and stores them in Notion, Sheets, or Supabase.

Streams change data capture from MongoDB into Redpanda or Kafka using Redpanda Connect's mongodb_cdc input, covering Change Streams, snapshots, document modes, and resume-token checkpointing.

GPU-accelerated data curation for LLM training, supporting text, image, video, and audio with fuzzy deduplication, quality filtering, semantic deduplication, PII redaction, and NSFW detection.

Guides when to use Salesforce Bulk API 2.0 and provides commands for importing, updating, upserting, deleting, and exporting records, along with CSV format requirements, limits, and error handling.

Integrate with Benchling's Python SDK and REST API to manage registry entities, inventory, ELN entries, workflows, and Data Warehouse queries for life sciences R&D automation.

Streams change data capture from Google Cloud Spanner into Redpanda or Kafka using Redpanda Connect's gcp_spanner_cdc input, with partition-aware watermarked delivery and support for Redpanda Enterprise features.

Compare identical tables across two SQL Server instances using Python with mssql-python and Apache Arrow, detecting missing rows, column mismatches, schema drift, and generating a reconciliation report.

Guides the setup and use of dbt for extract-transform-load workflows.