Databand.ai

DECEMBER 13, 2022

1) Joseph Machado Senior Data Engineer at LinkedIn Joseph is an experienced data engineer, holding a Master’s degree in Electrical Engineering from Columbia University and having spent time on the teams at Annalect, Narrativ, and most recently LinkedIn. She holds a Computer Science degree, and has authored eight patents.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Striim

FEBRUARY 19, 2024

Innovations like Data Mesh and Data Fabric have emerged as solutions, offering new ways to manage data effectively and derive actionable insights. Business Value: Operational Efficiency : Automates data integration and management tasks, significantly reducing manual efforts and streamlining operations.

Data Integration 52

Data Integration Government Data Data Governance 52

Towards Data Science

DECEMBER 4, 2023

Anyways, I wasn’t paying enough attention during university classes, and today I’ll walk you through data layers using —  guess what  —  an example. Business Scenario & Data Architecture Imagine this: next year, a new team on the grid, Red Thunder Racing, will call us (yes, me and you) to set up their new data infrastructure.

Data Engineering 87

Data Engineering Data Engineer Engineering Data Lake 87

AltexSoft

MARCH 2, 2023

Data usability ensures that data is available in a structured format that is compatible with traditional business tools and software. Data integrity is about maintaining the quality of data as it is stored, converted, transmitted, and displayed. Learn more about data integrity in our dedicated article.

Data Governance 52

Data Governance Government Healthcare Programming 52

phData: Data Engineering

AUGUST 11, 2023

Data engineering models can help public health systems identify isolated cases before they explode into a health crisis. In Australia, the government’s healthcare branch uses Data Integration Partnership for Australia (DIPA) to identify adverse events. Snowflake is a market leader and sets the standard for data security.

Healthcare 52

Healthcare Data Engineering Data Engineer Hospitality 52

U-Next

AUGUST 17, 2022

Data Engineer roles and responsibilities have certain important components, such as: Refining the software development process using industry standards. Identifying and fixing data security flaws to shield the company from intrusions. Employing data integration technologies to get data from a single domain.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

AltexSoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Inability to handle unstructured data such as audio, video, text documents, and social media posts.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

ProjectPro

JANUARY 31, 2022

Snowflake puts all data on a single high-performance platform by bringing data in from many locations, reducing the complexity and delay imposed by standard ETL processes. Snowflake allows data to be examined and cleaned immediately, assuring data integrity.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

OCTOBER 20, 2021

Data Integration at Scale Most data architectures rely on a single source of truth. Having multiple data integration routes helps optimize the operational as well as analytical use of data. Data Security and Governance These vulnerabilities can make or break AI Systems at Scale.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Components of a Data Mesh. How CDF enables successful Data Mesh Architectures.

Architecture 122

Architecture Metadata Government Kafka 122

AltexSoft

MAY 12, 2023

Without a fixed schema, the data can vary in structure and organization. File systems, data lakes, and Big Data processing frameworks like Hadoop and Spark are often utilized for managing and analyzing unstructured data. Data security and privacy. Hadoop, Apache Spark).

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Databand.ai

JANUARY 24, 2023

In turn, this demand puts pressure on real-time access to data and increased automation, which then increases the need for AI. Supporting all of this requires a modern infrastructure and data architecture with appropriate governance. DataOps helps ensure organizations make decisions based on sound data. Enter DataOps.

Retail 52

Retail Banking Government Manufacturing 52

phData: Data Engineering

JULY 18, 2023

First up, let’s dive into the foundation of every Modern Data Stack, a cloud-based data warehouse. Central Source of Truth for Analytics A Cloud Data Warehouse (CDW) is a type of database that provides analytical data processing and storage capabilities within a cloud-based infrastructure.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

AltexSoft

MARCH 30, 2023

Databricks architecture Databricks provides an ecosystem of tools and services covering the entire analytics process — from data ingestion to training and deploying machine learning models. These improvements become possible due to the core components of the Databricks architecture — Delta Lake and Unity Catalog.

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Scala Data Lake BI Google Cloud 64