Ascend.io

MAY 24, 2023

This article is based on a presentation given by Sarwat Fatima , Principal Data Engineer at Biome Analytics, at the Data Pipeline Automation Summit 2023. Dive right into Sarwat’s full presentation at the Data Pipeline Automation Summit 2023. The answer lies in building efficient healthcare data pipelines.

Healthcare 52

Healthcare Data Pipeline Hospitality Datasets 52

Striim

NOVEMBER 8, 2023

With the help of Striim’s enterprise-grade platform, companies can now deploy and manage a data mesh architecture with automated data mapping, cloud-native capabilities, and real-time analytics. Organizations can have data product managers who control the data in their domain.

Architecture 52

Architecture Generalist Government Datasets 52

Towards Data Science

FEBRUARY 15, 2023

In this context, data management in an organization is a key point for the success of its projects involving data. One of the main aspects of correct data management is the definition of a data architecture. data:/data -./src:/src data:/data All the code is available in this GitHub repository.

Data Lake 74

Data Lake Data Warehouse Hadoop Data Architecture 74

dbt Developer Hub

FEBRUARY 7, 2022

Jaffle Shop is a demo repo referenced in dbt’s Getting Started Guide , and its jaffles hold a special place in the dbt community’s hearts, as well as on Data Twitter™. So, I thought it only apt to build on the collective reverence for these tasty, crunchy snacks to talk about customer 360 views. What's a customer 360? ​

Data Warehouse 52

Data Warehouse Datasets Data SQL 52

Rockset

OCTOBER 6, 2022

Consequently, we needed a data backend with the following characteristics: Scale With ~50 commits per working day (and thus at least 50 pull request updates per day) and each commit running over one million tests, you can imagine the storage/computation required to upload and process all our data.

AWS 52

AWS Data Schemas Accessible Accessibility 52

Cloud Academy

JANUARY 27, 2022

For example, you can learn about how JSONs are integral to non-relational databases – especially data schemas, and how to write queries using JSON. Have experience with programming languages Having programming knowledge is more of an option than a necessity but it’s definitely a huge plus. What is Big Data Engineering?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Monte Carlo

JANUARY 25, 2023

That being said, it tends to be much easier to reprocess data in the data warehouse when we do find bad records, whereas that might not be possible in a streaming environment. Definition of data contracts Similar to contracts in production services, contracts in the warehouse should be implemented in code and version controlled.

Data Warehouse 52

Data Warehouse Data High Quality Data Metadata 52

ProjectPro

APRIL 26, 2016

Pig vs Hive Criteria Pig Hive Type of Data Apache Pig is usually used for semi structured data. Used for Structured Data Schema Schema is optional. Hive requires a well-defined Schema. Language It is a procedural data flow language. Follows SQL Dialect and is a declarative language.

Hadoop 40

Hadoop Metadata SQL Database 40

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 94

Media Database Metadata Data Schemas 94

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