1.9천건 · 관련도순
Use Exasol document-file virtual schemas for federated read-only access to object and file storage — S3, Google Cloud Storage, Azure Blob Storage, and Azure Data Lake Storage Gen2 document files. Covers document-file adapter family selection, the EDML `MAPPING` definition, `CREATE VIRTUAL SCHEMA` usage, refresh workflows, and query-side troubleshooting.
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Distributed machine learning, data mining, and iterative HPC with Exasol. Covers end-to-end ML pipelines (DISTRIBUTE BY + SET scripts + BucketFS), per-entity federated training with partial_fit and ctx.reset(), batch inference, map-reduce ensemble training, distributed ensemble and SON algorithm for frequent itemset mining (Apriori, FP-Growth, association rules, market-basket analysis), Lua execute script orchestration for iterative algorithms (k-means, SGD, gradient descent), scikit-learn model training, parallel hyperparameter search, per-entity forecasting, anomaly detection, model lifecycle in BucketFS (pickle/joblib/ONNX versioning), GPU acceleration via CUDA SLCs (PyTorch/TensorFlow/RAPIDS), and ML-specific performance tuning (skew, OOM, multi-pass chunking).
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Use Exasol JDBC-based virtual schemas for federated read-only access to external databases such as PostgreSQL, Oracle, MySQL, SQL Server, and DB2. Covers database-source adapter selection, `CREATE VIRTUAL SCHEMA`, `ALTER VIRTUAL SCHEMA`, `EXPLAIN VIRTUAL`, metadata refresh, and query-side troubleshooting.
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Exasol BucketFS file system management via the `exapump bucketfs` CLI. Covers listing, uploading, downloading, and deleting files and directories in BucketFS, the `bfsdefault` service and other bucket services, bucket structure, `bfs_*` profile settings, the `/buckets/<service>/<bucket>/<path>` UDF path, and staging JARs, models, and Script Language Containers for UDFs.
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Use Exasol Cloud Storage Extension workflows for moving structured object-storage files through extension UDFs. Covers setup prerequisites, the fixed `CLOUD_STORAGE_EXTENSION.IMPORT_PATH` and `CLOUD_STORAGE_EXTENSION.EXPORT_PATH` entrypoints used with `FROM SCRIPT` and `INTO SCRIPT`, Parquet, Avro, ORC, and Delta files on S3, Google Cloud Storage, Azure Blob Storage, Azure Data Lake, HDFS, and Alluxio, connection-object credential patterns, and routing away from native IMPORT or EXPORT when the extension path is the right fit.
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When the user wants a full ASO health audit, review their App Store listing quality, or diagnose why their app isn't ranking. Also use when the user mentions "ASO audit", "ASO score", "why am I not ranking", "listing review", or "optimize my app store page". For keyword-specific research, see keyword-research. For metadata writing, see metadata-optimization.
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여러 매장의 판매 데이터와 상품 특성으로 수요 예측, 안전 재고, 발주량을 검토합니다. 판촉 종료 후 수요 감소와 계절 상품의 가격 인하 시점도 계획합니다.
AI의 조언·계획·견적·분석 뒤에 짧은 질문 두세 개를 덧붙입니다. 답변의 구체적인 내용을 바탕으로 행동 전에 숫자·논리·누락 정보를 검토하도록 돕습니다.
API로 앱 전체의 시스템 프롬프트, 추론 예산, IP 필터와 로그인 요건을 확인하고 갱신합니다. 프록시와 캐시 등 운영 설정도 관리합니다.
에이전트의 판단과 문제 해결 절차를 재사용 가능한 패턴으로 정의합니다. 실행 가능한 워크플로에 넣어 실행하고, 결과를 평가해 효과적인 방법을 공유합니다.
AI 에이전트가 작업 결과와 상황을 기록하고 과거 경험으로 다음 방법을 선택하는 구조를 구현합니다. 패턴 매칭, 전략 비교, 학습 기록 저장과 효과 확인을 다룹니다.
Audit App Store or Google Play listings across six areas, including text, visuals, and reviews. Get a weighted score, specific copy and image recommendations, optional competitor comparisons, and prioritized changes tailored to the store and brand maturity.
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Use Hindsight to recall past context, save reusable facts, and reason across accumulated memories. Supports continuity between conversations by preserving preferences, project decisions, and lessons learned, while helping explain the reasoning behind earlier choices.
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Analyze crude oil, gold, and copper using supply and demand, inventories, futures prices, and seasonal patterns. Combine these factors with macroeconomic conditions to produce research reports showing market direction, confidence, and specific risks.
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Improve mobile app listings on Apple App Store and Google Play Store through keyword research, clearer descriptions, visual asset guidance, and review analysis. Create competitor reports, A/B test plans, and launch checklists to guide store page improvements.
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Prepare accountant review materials from reconciled books, including US quarterly estimated payments and 1099-NEC contractor reporting candidates. The skill checks book closure first and documents assumptions, missing information, and deadlines without filing anything.
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Use sales history and seasonal patterns to decide what to promote over the next 30 days. Get prioritized product recommendations, content angles, and offer ideas based on best sellers, slow movers, and recent trends.
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Improve app store listings through keyword research, competitor comparisons, and revised titles and descriptions. Plan A/B tests, review visual messaging, and organize launch preparations for apps on Apple App Store and Google Play Store.
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Document a solved and verified problem when its reasoning is missing from code, tests, and existing documentation. Save one durable lesson in the repository so future agents can find it and avoid repeating substantial investigation.
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Analyze won and lost HubSpot deals by customer segment, competitor, deal value, and the stage before a loss. Group recorded loss reasons into themes and post a weekly Slack summary with concrete recommendations, leaving deal records unchanged.
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Track tests that pass and fail on unchanged code using GitHub CI history. Score their instability over multiple runs, propose reasoned skips in a pull request, maintain a tracking issue, and summarize findings in Slack.
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Practice legal reasoning through hypothetical cases and follow-up questions. The skill challenges weak explanations, tracks recurring mistakes, and prompts you to work out the answer yourself, confirming your reasoning once you reach a sound conclusion.
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Analyze rejected plans and reviewer feedback to identify recurring concerns, changing expectations, and concrete prompt improvements. Produce an HTML dashboard from Plannotator archives, or use Claude Code plan rejection reasons when those archives are unavailable.
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Turn unstructured clinical encounter summaries into SOAP notes, a four-part format for medical records. Organize symptoms and findings, include diagnoses with ICD-10 classification codes, and document treatment steps, follow-up timing, and reasons to return for care.
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