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Unity Catalog Lakeguard: Industry-first and only data governance for multi-user Apache™ Spark clusters

databricks

Run SQL, Python & Scala workloads with full data governance & cost-efficient multi-user compute. Unlock the power of Apache Spark™ with Unity Catalog Lakeguard on Databricks Data Intelligence Platform.

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Modern Data Engineering: Free Spark to Snowpark Migration Accelerator for Faster, Cheaper Pipelines in Snowflake

Snowflake

With familiar DataFrame-style programming and custom code execution, Snowpark lets teams process their data in Snowflake using Python and other programming languages by automatically handling scaling and performance tuning. Snowflake customers see an average of 4.6x faster performance and 35% cost savings with Snowpark over managed Spark.

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Databricks, Snowflake and the future

Christophe Blefari

A UX where you buy a single tool combining engine and storage, where all you have to do is flow data in, write SQL, and it's done. you could write the same pipeline in Java, in Scala, in Python, in SQL, etc.—with From the start, Snowflake has been a straightforward platform: load data, write SQL, period.

Metadata 147
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Adopting Spark Connect

Towards Data Science

Spark has long allowed to run SQL queries on a remote Thrift JDBC server. However, this ability to remotely run client applications written in any supported language (Scala, Python) appeared only in Spark 3.4. getOrCreate() // If the client application uses your Scala code (e.g., classOf[SparkSession.Builder].getDeclaredMethod("remote",

Scala 75
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Building a Machine Learning Application With Cloudera Data Science Workbench And Operational Database, Part 1: The Set-Up & Basics

Cloudera

Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. Apache HBase is an effective data storage system for many workflows but accessing this data specifically through Python can be a struggle. Introduction. Restart Region Servers.

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Ready-to-go sample data pipelines with Dataflow

Netflix Tech

See below example of hooking the table creation SQL file into the main workflow definition. - A large number of our data users employ SparkSQL, pyspark, and Scala. Within this section, we’ll preview a few methods, starting with sparkSQL and python’s manner of creating data pipelines with dataflow. scala-workflow ? ???

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Bring your Snowpark models to life on ThoughtSpot

ThoughtSpot

If you’re new to Snowpark, this is Snowflake ’s set of libraries and runtimes that securely deploy and process non-SQL code including Python, Java, and Scala. Predictive churn analysis Use Snowflake, Snowpark Python, and machine learning in ThoughtSpot to uncover insights that guide strategic decisions.

Scala 113