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Discover And De-Clutter Your Unstructured Data With Aparavi

Data Engineering Podcast

Summary Unstructured data takes many forms in an organization. From a data engineering perspective that often means things like JSON files, audio or video recordings, images, etc. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability.

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Now in Public Preview: Processing Files and Unstructured Data with Snowpark for Python

Snowflake

“California Air Resources Board has been exploring processing atmospheric data delivered from four different remote locations via instruments that produce netCDF files. Previously, working with these large and complex files would require a unique set of tools, creating data silos. ” U.S.

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Fundamentals of Apache Spark

Knowledge Hut

Spark offers over 80 high-level operators that make it easy to build parallel apps and one can use it interactively from the Scala, Python, R, and SQL shells. The core is the distributed execution engine and the Java, Scala, and Python APIs offer a platform for distributed ETL application development.

Hadoop 98
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What is Streaming Analytics?

Cloudera

In today’s demand for more business and customer intelligence, companies collect more varieties of data — clickstream logs, geospatial data, social media messages, telemetry, and other mostly unstructured data.

Kafka 95
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Securely Connect to LLMs and Other External Services from Snowpark

Snowflake

Snowpark is the set of libraries and runtimes that enables data engineers, data scientists and developers to build data engineering pipelines, ML workflows, and data applications in Python, Java, and Scala. Now users with USAGE privilege on the CHATGPT function can call this UDF.

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AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

Create The Connector for Source Database The first step is having the source database, which can be any S3, Aurora, and RDS that can hold structured and unstructured data. Glue works absolutely fine with structured as well as unstructured data.

AWS 98
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Announcing New Innovations for Data Warehouse, Data Lake, and Data Lakehouse in the Data Cloud 

Snowflake

Rather than defining schema upfront, a user can decide which data and schema they need for their use case. Snowflake has long supported semi-structured data types and file formats like JSON, XML, Parquet, and more recently storage and processing of unstructured data such as PDF documents, images, videos, and audio files.