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python3-adlfs-2023.12.0-1.lbn36.noarch: Filesystem interface to Azure-Datalake Gen1 and Gen2 Storage Quickstart This package can be installed using: pip install adlfs or conda install -c conda-forge adlfs The adl:/ and abfs:/ protocols are included in fsspec's known_implementations registry in fsspec > 0.6.1, otherwise users must explicitly inform fsspec about the supported adlfs protocols. To use the Gen1 filesystem: import dask.dataframe as dd storage_options={'tenant_id': TENANT_ID, 'client_id': CLIENT_ID, 'client_secret': CLIENT_SECRET} dd.read_csv('adl:/{STORE_NAME}/{FOLDER}/*.csv', storage_options=storage_options) To use the Gen2 filesystem you can use the protocol abfs or az: import dask.dataframe as dd storage_options={'account_name': ACCOUNT_NAME, 'account_key': ACCOUNT_KEY} ddf = dd.read_csv('abfs:/{CONTAINER}/{FOLDER}/*.csv', storage_options=storage_options) ddf = dd.read_parquet('az:/{CONTAINER}/folder.parquet', storage_options=storage_options) Accepted protocol / uri formats include: 'PROTOCOL:/container

google-crc32c-1.1.2-11.lbn36.x86_64: This project collects a few CRC32C implementations under an umbrella that dispatches to a suitable implementation based on the host computer's hardware capabilities. CRC32C is specified as the CRC that uses the iSCSI polynomial in RFC 3720. The polynomial was introduced by G. Castagnoli, S. Braeuer and M. Herrmann. CRC32C is used in software such as Btrfs, ext4, Ceph and leveldb.

leveldb-1.23-4.fc36.x86_64: LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

freetds-libs-1.3.3-2.fc36.x86_64: FreeTDS is a project to document and implement the TDS (Tabular DataStream) protocol. TDS is used by Sybase(TM) and Microsoft(TM) for client to database server communications. FreeTDS includes call level interfaces for DB-Lib, CT-Lib, and ODBC. This package contains the libraries for freetds.

kafka-4.0.0-1.lbn36.noarch: Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.

python3-apache-airflow-2.10.5-1.lbn36.noarch: Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.

apache-airflow-2.10.5-1.lbn36.noarch: Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex sugeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.

apache-drill-drillbit-1.21.2-1.lbn36.noarch: The drillbit daemon service for Apache Drill.

apache-drill-1.21.2-1.lbn36.noarch: Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. A single query can join data from multiple datastores. For example, you can join a user profile collection in MongoDB with a directory of event logs in Hadoop. Drill's datastore-aware optimizer automatically restructures a query plan to leverage the datastore's internal processing capabilities. In addition, Drill supports data locality, so it's a good idea to co-locate Drill and the datastore on the same nodes.

python3-aioitertools-0.11.0-1.lbn36.noarch: aioitertools Implementation of itertools, builtins, and more for AsyncIO and mixed-type iterables. Install aioitertools requires Python 3.6 or newer. You can install it from PyPI: $ pip install aioitertools Usage aioitertools shadows the standard library whenever possible to provide asynchronous version of the modules and functions you already know. It's fully compatible with standard iterators and async iterators alike, giving you one unified, familiar interface for interacting with iterable objects: from aioitertools import iter, next, map, zip something = iter(...) first_item = await next(something) async for item in iter(something): ... async def fetch(url): response = await aiohttp.request(...) return response.json async for value in map(fetch, MANY_URLS): ... async for a, b in zip(something, something_else): ... aioitertools emulates the entire itertools module, offering the same function signatures, but as async generators. All functions suppor

freetds-1.3.3-2.fc36.x86_64: FreeTDS is a project to document and implement the TDS (Tabular DataStream) protocol. TDS is used by Sybase(TM) and Microsoft(TM) for client to database server communications. FreeTDS includes call level interfaces for DB-Lib, CT-Lib, and ODBC.

apache-superset-5.0.0-1.lbn36.noarch: Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources. Superset provides: A no-code interface for building charts quickly A powerful, web-based SQL Editor for advanced querying A lightweight semantic layer for quickly defining custom dimensions and metrics Out of the box support for nearly any SQL database or data engine A wide array of beautiful visualizations to showcase your data, ranging from simple bar charts to geospatial visualizations Lightweight, configurable caching layer to help ease database load Highly extensible security roles and authentication options An API for programmatic customization A cloud-native architecture designed from the ground up for scale

libarrow-python-libs-19.0.1-4.lbn36.x86_64: This package contains the Python integration library for Apache Arrow.

libarrow-python-flight-libs-19.0.1-4.lbn36.x86_64: This package contains the Python integration library for Apache Arrow Flight.

libarrow-glib-libs-19.0.1-4.lbn36.x86_64: This package contains the libraries for Apache Arrow GLib.

libarrow-flight-libs-19.0.1-4.lbn36.x86_64: This package contains the libraries for Apache Arrow Flight.

libarrow-doc-19.0.1-4.lbn36.noarch: Documentation files for Apache Arrow C++. Obsoletes: libarrow-glib-doc < 19.0.1-4.lbn36 Obsoletes: libarrow-dataset-glib-doc < 19.0.1-4.lbn36 Obsoletes: libarrow-parquet-glib-doc < 19.0.1-4.lbn36 Obsoletes: plasma-glib-doc < 19.0.1-4.lbn36 Obsoletes: gandiva-glib-doc < 19.0.1-4.lbn36

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