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What the publisher says
As described on Microsoft Marketplace.
Apache Arrow 24.0.0 Installation Guide
Apache Arrow 24.0.0 is a high-performance, open-source columnar memory format and multi-language data processing framework designed for fast data interchange, in-memory analytics, efficient data storage, and cross-language data processing.
Show the rest of the publisher’s description (71 more lines)
Apache Arrow enables developers and data engineers to process large datasets efficiently using an in-memory columnar format. Through the PyArrow library, it integrates seamlessly with Python applications and supports popular data tools such as pandas, NumPy, Apache Parquet, Spark, DuckDB, and many other analytics platforms. Apache Arrow is widely used in ETL pipelines, machine learning workflows, big data processing, and cloud-native analytics environments.
Version: Apache Arrow / PyArrow 24.0.0
Features of Apache Arrow:
- High-performance in-memory columnar data format.
- Fast data interchange between multiple programming languages.
- Python integration through the PyArrow library.
- Read and write support for Apache Parquet files.
- Compatible with pandas, NumPy, Spark, DuckDB, and many analytics tools.
- Optimized for ETL, machine learning, data engineering, and analytics workloads.
- Supports efficient serialization and zero-copy data sharing.
- No web interface or application server required.
Prerequisites
- Ubuntu 26.04 LTS
- Python 3 installed
- Python virtual environment package
- Internet connectivity
- Sudo privileges
Installation Instructions
sudo su
cd /opt
apt update
apt install -y python3 python3-pip python3-venv
python3 -m venv arrow-env
source /opt/arrow-env/bin/activate
python3 -m pip install --upgrade pip setuptools wheel
pip install "pyarrow==24.0.*" pandas
python3 -c "import pyarrow as pa; print(pa.__version__)"
Expected Output
24.0.0
Check Installed Package Information
source /opt/arrow-env/bin/activate
pip show pyarrow
Expected Output (Example)
Name: pyarrow
Version: 24.0.0
Summary: Python library for Apache Arrow
Location: /opt/arrow-env/lib/python3.x/site-packages
Testing Apache Arrow Installation
cat > /opt/test_arrow.py
Run the test:
source /opt/arrow-env/bin/activate
python3 /opt/test_arrow.py
Expected Output
Apache Arrow Version: 24.0.0
pyarrow.Table
id: int64
name: string
----
id: [[1,2,3]]
name: [["azure","apache","arrow"]]
Apache Arrow test completed successfully.
Common Commands
# Activate the virtual environment
source /opt/arrow-env/bin/activate
# Check Apache Arrow version
python3 -c "import pyarrow as pa; print(pa.__version__)"
# View package details
pip show pyarrow
# List installed packages
pip list
# Deactivate the virtual environment
deactivate
Use Cases
- Columnar in-memory analytics
- Apache Parquet data processing
- ETL and data engineering pipelines
- Data interchange between Python, Java, C++, and R
- Machine learning data preparation
- Cloud-native analytics applications
- Integration with Spark, pandas, DuckDB, and NumPy
Disclaimer: Apache Arrow is distributed under the Apache License 2.0. It is provided "as is" without warranties of any kind. Users are responsible for validating installations, securing production environments, managing dependencies, and ensuring compatibility with their analytics and data engineering workflows.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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