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The Evolution of Table Formats

Monte Carlo

As organizations seek greater value from their data, data architectures are evolving to meet the demand — and table formats are no exception. Modern table formats are far more than a collection of columns and rows. The answer isn’t as simple as it used to be. This evolution has happened at a breakneck pace.

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The Good and the Bad of Apache Spark Big Data Processing

AltexSoft

The building blocks of Apache Spark Apache Spark comprises a suite of libraries and tools designed for data analysis, machine learning , and graph processing on large-scale data sets. Besides SQL syntax, it supports Hive Query Language, which enables interaction with Hive tables. For this, we have a short, engaging video.

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Ready or Not. The Post Modern Data Stack Is Coming.

Monte Carlo

And so it almost seems unfair that new ideas are already springing up to disrupt the disruptors: Zero-ETL has data ingestion in its sights AI and Large Language Models could transform transformation Data product containers are eyeing the table’s thrown as the core building block of data Are we going to have to rebuild everything (again)?

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On-Premise vs Cloud: Where Does the Future of Data Storage Lie?

Monte Carlo

We want to empower AutoTrader and its customers to make data-informed decisions and democratize access to data through a self-serve platform….As Data teams can take advantage of Delta live tables , Snowpark , Kafka , Kinesis , micro-batching and more. It’s just a matter of picking a flavor.

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Your Data’s (Finally) In The Cloud. Now, Stop Acting So On-Prem

Towards Data Science

We want to empower AutoTrader and its customers to make data-informed decisions and democratize access to data through a self-serve platform….As Data teams can take advantage of Delta live tables , Snowpark , Kafka , Kinesis , micro-batching and more. Photo by Jason Goodman on Unsplash (“No Lior!

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Your Data’s (Finally) In The Cloud. Now, Stop Acting So On-Prem

Monte Carlo

We want to empower AutoTrader and its customers to make data-informed decisions and democratize access to data through a self-serve platform….As Data teams can take advantage of Delta live tables , Snowpark , Kafka , Kinesis , micro-batching and more. It’s just a matter of picking a flavor.

Cloud 69