dbt Developer Hub

FEBRUARY 7, 2022

A customer 360 is a fancy way of saying that you have a holistic dataset that lets understand your customers’ behavior. It involves being able to link together all of the different kinds of data you collect about customers via identity resolution, which we’ll talk through later in this tutorial. What's a customer 360? ​

Data Warehouse 52

Data Warehouse Datasets Data SQL 52

Monte Carlo

FEBRUARY 6, 2023

Facilitating self-service data? Integrating new tooling? Instead of making data easier to find, mental cues and esoteric naming conventions will slow productivity for users, limiting return from a new warehouse and increasing the burden on data engineers to locate datasets or troubleshoot dashboards.

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

AWS 98

AWS Scala Metadata Data Lake 98

Netflix Tech

OCTOBER 27, 2020

As the paved path for moving data to key-value stores, Bulldozer provides a scalable and efficient no-code solution. Users only need to specify the data source and the destination cluster information in a YAML file. Bulldozer provides the functionality to auto-generate the data schema which is defined in a protobuf file.

Data Warehouse 97

Data Warehouse Datasets Data Big Data 97

AltexSoft

OCTOBER 3, 2022

They allow for representing various types of data and content (data schema, taxonomies, vocabularies, and metadata) and making them understandable for computing systems. So, in terms of a “graph of data”, a dataset is arranged as a network of nodes, edges, and labels rather than tables of rows and columns.

Relational Database 52

Relational Database Banking Media Computer Science 52

ProjectPro

JANUARY 31, 2023

MapReduce is a Hadoop framework used for processing large datasets. Another name for it is a programming model that enables us to process big datasets across computer clusters. This program allows for distributed data storage, simplifying complex processing and vast amounts of data. What is MapReduce in Hadoop?

Big Data 52

Big Data Hadoop AWS Relational Database 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

Towards Data Science

NOVEMBER 4, 2023

Indeed, datalakes can store all types of data including unstructured ones and we still need to be able to analyse these datasets. Introduction to Apache Iceberg Tables Simplified data integrations Managed solutions like Fivetran and Stitch were built to manage third-party API integrations with ease.

Data Engineering 79

Data Engineering Data Engineer Engineering BI 79

Monte Carlo

APRIL 20, 2023

Squatch VP of Data, IT & Security, Nick Johnson. Data integration and modeling In previous eras, data models like Data Vault were used to manually create full visibility into data lineage. A few tips for a safe migration using data lineage: Document current data schema and lineage.

Data Warehouse 52

Data Warehouse BI Data Government 52