article thumbnail

A Guide to Seamless Data Fabric Implementation

Striim

Data Fabric is a comprehensive data management approach that goes beyond traditional methods , offering a framework for seamless integration across diverse sources. By upholding data quality, organizations can trust the information they rely on for decision-making, fostering a data-driven culture built on dependable insights.

article thumbnail

Data Pipeline Observability: A Model For Data Engineers

Databand.ai

Data pipelines often involve a series of stages where data is collected, transformed, and stored. This might include processes like data extraction from different sources, data cleansing, data transformation (like aggregation), and loading the data into a database or a data warehouse.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

Netflix Tech

Our data ingestion approach, in a nutshell, is classified broadly into two buckets?—?push In this model, we scan system logs and metadata generated by various compute engines to collect corresponding lineage data. push or pull. Today, we are operating using a pull-heavy model.

article thumbnail

Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

AltexSoft

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.

article thumbnail

Real-Time Analytics in the World of Virtual Reality and Live Streaming

Rockset

Virtual Reality – The Next Frontier in Media I work as a Data Engineer at a leading company in the VR space, with a mission to capture and transmit reality in perfect fidelity. Our content varies from on-demand experiences to live events like NBA games, comedy shows and music concerts.

article thumbnail

What is Data Accuracy? Definition, Examples and KPIs

Monte Carlo

A key component of data quality is data accuracy – in fact, it’s one of the 6 overarching dimensions of data quality. Every day, your company relies on data to make all kinds of decisions: about pricing, about product development, about messaging strategy. is the gas station actually where the map says it is?).

article thumbnail

ELT Process: Key Components, Benefits, and Tools to Build ELT Pipelines

AltexSoft

You receive a notification each time new data is added to the system or is changed so that you can decide whether to load it. To make this happen, a source system must be equipped with an automation mechanism or have an event-driven structure with webhooks. You convert data to a consistent format or structure. Aggregation.

Process 52