article thumbnail

AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

Application programming interfaces (APIs) are used to modify the retrieved data set for integration and to support users in keeping track of all the jobs. Users can schedule ETL jobs, and they can also choose the events that will trigger them. You can produce code, discover the data schema, and modify it.

AWS 98
article thumbnail

Knowledge Graphs: The Essential Guide

AltexSoft

A knowledge graph is a way to integrate data coming from a variety of disjointed sources in the network that connects different data entities — objects, people, events, situations, or abstract concepts — and depicts their semantic relationships. What is a knowledge graph? AI applications of knowledge graphs.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Implementing the Netflix Media Database

Netflix Tech

A schemaless system appears less imposing for application developers that are producing the data, as it (a) spares them from the burden of planning and future-proofing the structure of their data and, (b) enables them to evolve data formats with ease and to their liking. This is depicted in Figure 1.

Media 94
article thumbnail

Mastering Healthcare Data Pipelines: A Comprehensive Guide from Biome Analytics

Ascend.io

Split transform components if transformations significantly change the data schema. Future Outlook In the vast and complex world of data, building and managing scalable healthcare data pipelines is an imperative skill for all data engineering professionals.

article thumbnail

Fine-Tuning Improves the Performance of Meta’s Code Llama on SQL Code Generation 

Snowflake

SQL—the standard programming language of relational databases—was not included in these benchmarks. As part of our vision to bring generative AI and LLMs to the data , we are evaluating a variety of foundational models that could serve as the baseline for text-to-SQL capabilities in the Data Cloud.

Coding 76
article thumbnail

50 PySpark Interview Questions and Answers For 2023

ProjectPro

show(truncate=False) #Drop duplicates on selected columns dropDisDF = df.dropDuplicates(["department","salary"]) print("Distinct count of department salary : "+str(dropDisDF.count())) dropDisDF.show(truncate=False) } Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Q6.

Hadoop 52