Remove Data Engineering Remove Scalability Remove Windows
article thumbnail

Fundamentals of Data Engineering

Xebia

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

article thumbnail

Make the leap to Hybrid with Cloudera Data Engineering

Cloudera

When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. Each unlocking value in the data engineering workflows enterprises can start taking advantage of. Usage Patterns.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Driving Agility and Scalability through Smart Data

Cloudera

Cloudera sees success in terms of two very simple outputs or results – building enterprise agility and enterprise scalability. Contrast this with the skills honed over decades for gaining access, building data warehouses, performing ETL, creating reports and/or applications using structured query language (SQL). A rare breed.

article thumbnail

Building a Scalable Search Architecture

Confluent

Software projects of all sizes and complexities have a common challenge: building a scalable solution for search. For this reason and others as well, many projects start using their database for everything, and over time they might move to a search engine like Elasticsearch or Solr. You might be wondering, is this a good solution?

article thumbnail

Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker

AWS Machine Learning - AI

Designed with a serverless, cost-optimized architecture, the platform provisions SageMaker endpoints dynamically, providing efficient resource utilization while maintaining scalability. Cost and Performance The solution achieves remarkable throughput by processing 100,000 documents within a 12-hour window.

article thumbnail

How Twilio generated SQL using Looker Modeling Language data with Amazon Bedrock

AWS Machine Learning - AI

As long as the LookML file doesn’t exceed the context window of the LLM used to generate the final response, we don’t split the file into chunks and instead pass the file in its entirety to the embeddings model. The two subsets of LookML metadata provide distinct types of information about the data lake.

article thumbnail

How to use Multiple Databricks Workspaces with one dbt Cloud Project

Xebia

This will open a new window. A new window will open. A new window will open, where we can search for our Service Principal and add the permission Can Use. We will first navigate to the Data page, select the appropriate catalog (default is hive_metastore ), select the Permissions tab and click on Grant.

Cloud 130