AI tools for “etl”
14 results (tools & skills) · 227 ms · understood as by meaning
…BigQuery, GCS, Spanner, or Cloud SQL. - Building PySpark ETL pipelines, machine learning workloads, or batch jobs. - Managing Dataproc clusters, serverless batches, or interactive sessions. - Optimizing PySpark or…
…mapping plan (Mapping Manifesto). Used when initiating an ETL, ELT, or data integration task with schema mapping specification for multiple tables (i.e. more than 3 tables) before writing code. Do NOT use this skill…
Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
…first whenever the user mentions migrating Informatica ETL (IDMC/IICS cloud mappings, PowerCenter 10.x repository XML) onto Oracle AI Data Platform (AIDP). Lays out the toolkit, the CLI command sequence, which…
…plan a migration to AIDP, translate Athena SQL or Glue ETL/PySpark to Spark on AIDP, or verify a migration's output. Wraps the `aws-aidp` CLI, with the verbs inventory, plan, migrate and…
…independently on failure (transcribe→summarize→email, ETL, order fulfillment, any 'do A then B then C, retry each' job). Use @convex-dev/workflow — do NOT hand-roll a chain of scheduler calls or a custom jobs…
…(ingesting-into-data-lake covers that), self-run CTAS/Glue-ETL/Spark migrations (ingesting-into-data-lake), or creating empty tables…
…TTL, vector indexes for similarity search, and zero-ETL integrations to OpenSearch/Redshift/SageMaker Lakehouse, and produces a defensible data-layer design with a monthly cost estimate and optional live…
…migrate table, move data to AWS, set up pipeline, ETL, pull from Snowflake, query BigQuery into S3, export DynamoDB, CTAS, convert to Iceberg. Do NOT use for setting up or troubleshooting Glue connections (use…
…for SQL query engines (Athena, Spark, Redshift, EMR), ETL (Glue), streaming (Kafka, MSK, Kinesis), or managed database services (RDS, Aurora,…
Self-serve BI, embedded analytics, ETL, managed warehouse, and a semantic layer. Basedash is everything you need for AI analytics, in one platform.
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform.
…analytics/BI, AI agents and operations with near real-time ETL data pipelines. ConnectorsBy typeSourcesApps and databasesDestinationsWarehouses and lakesReverse ETLSync data back to your toolsFilesCSV, Excel, S3 and…
Ask On Data is an AI-powered, open source chat based ETL tool for data engineering. Via chat, it enables tasks like data migration, cleaning, and analysis, making it accessible for data scientists and engineers to…