Towards Data Science

NOVEMBER 6, 2024

Instead, when a particular client application is launched, the location of its JAR file is passed using an environment variable, and that JAR is downloaded during initialization in entrypoint.sh: #!/bin/bash jar" # Download the JAR with the code and specific dependencies of the client # application to be run.

Scala 75

Scala Java AWS Coding 75

Netflix Tech

DECEMBER 14, 2018

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 97

Media Database Metadata Data Schemas 97

Towards Data Science

JANUARY 17, 2024

Parquet vs ORC vs Avro vs Delta Lake Photo by Viktor Talashuk on Unsplash The big data world is full of various storage systems, heavily influenced by different file formats. These are key in nearly all data pipelines, allowing for efficient data storage and easier querying and information extraction.

Big Data 97

Big Data Data Data Storage SQL 97

ProjectPro

FEBRUARY 8, 2023

You can produce code, discover the data schema, and modify it. Smooth Integration with other AWS tools AWS Glue is relatively simple to integrate with data sources and targets like Amazon Kinesis, Amazon Redshift, Amazon S3, and Amazon MSK. Then Redshift can be used as a data warehousing tool for this.

AWS 98

AWS Scala Metadata Data Lake 98

Knowledge Hut

MARCH 22, 2024

Rising Demand: Recent industry reports state that the adoption of MongoDB has been increasing, and the database has attracted over 40 million download users from thousands of organizations. Role Importance Crucial for building robust and scalable applications that leverage MongoDB for data storage and retrieval.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Java 40