Towards Data Science

JANUARY 17, 2024

One of its neat features is the ability to store data in a compressed format, with snappy compression being the go-to choice. Another cool aspect of Parquet is its flexible approach to data schemas. This adaptability makes it super user-friendly for evolving data projects. Plus, there’s the _delta_log folder.

Big Data 73

Big Data Data Data Storage SQL 73

Striim

NOVEMBER 8, 2023

This allows for two-way integration so that information can flow from one system to another in real-time. Striim is a cloud-native Data Mesh platform that offers features such as automated data mapping, real-time data integration, streaming analytics, and more.

Architecture 52

Architecture Generalist Government Datasets 52

DataKitchen

JUNE 19, 2023

Checking data at rest involves looking at syntactic attributes such as freshness, distribution, volume, schema, and lineage. Start checking data at rest with a strong data profile. The image above shows an example ‘’data at rest’ test result.

Data 52

Data Data Validation Utilities High Quality Data 52

dbt Developer Hub

FEBRUARY 7, 2022

To do so, we’ll focus on three steps: Performing the email domain extraction from the email Flagging personal emails Creating a column for corporate emails After we complete these steps, we’ll also cover a "human in the loop" step to ensure data integrity at the modelling stage.

Data Warehouse 52

Data Warehouse Datasets Data SQL 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

Monte Carlo

FEBRUARY 6, 2023

Facilitating self-service data? Integrating new tooling? But just to be safe, here are a few tips: Document your current data schema and lineage. This will be important when you have to cross-reference your old data ecosystem with your new one. Better governance? What does success look like?

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

AltexSoft

OCTOBER 3, 2022

The logical basis of RDF is extended by related standards RDFS (RDF Schema) and OWL (Web Ontology Language). They allow for representing various types of data and content (data schema, taxonomies, vocabularies, and metadata) and making them understandable for computing systems. General scenarios of using knowledge graphs.

Relational Database 52

Relational Database Banking Media Computer Science 52

Databand.ai

JULY 19, 2023

The extracted data is often raw and unstructured and may come in various formats such as text, images, audio, or video. The extraction process requires careful planning to ensure data integrity. It’s crucial to understand the source systems and their structure, as well as the type and quality of data they produce.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

The Modern Data Company

MAY 8, 2023

And by leveraging distributed storage and open-source technologies, they offer a cost-effective solution for handling large data volumes. In other words, the data is stored in its raw, unprocessed form, and the structure is imposed when a user or an application queries the data for analysis or processing.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

And by leveraging distributed storage and open-source technologies, they offer a cost-effective solution for handling large data volumes. In other words, the data is stored in its raw, unprocessed form, and the structure is imposed when a user or an application queries the data for analysis or processing.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

And by leveraging distributed storage and open-source technologies, they offer a cost-effective solution for handling large data volumes. In other words, the data is stored in its raw, unprocessed form, and the structure is imposed when a user or an application queries the data for analysis or processing.

Data Management 52

Data Management Data Lake Management Data Governance 52

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

ProjectPro

JANUARY 31, 2023

It also discusses several kinds of data. Schemas are available in various shapes and sizes, and the star schema and the snowflake schema are two of the most common. Entities in a star schema are depicted as stars, whereas those in a snowflake schema are depicted as snowflakes.

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

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 Government Data 52

Towards Data Science

NOVEMBER 4, 2023

Introduction to Apache Iceberg Tables Simplified data integrations Managed solutions like Fivetran and Stitch were built to manage third-party API integrations with ease. These days many companies choose this approach to simplify data interactions with their external data sources.

Data Engineering 86

Data Engineering Data Engineer Engineering BI 86