Maxime Beauchemin

MARCH 8, 2021

For those reasons, it is not surprising that it has taken over most of the modern data stack: infrastructure, databases, orchestration, data processing, AI/ML and beyond. That’s without mentioning the fact that for a cloud-native company, Tableau’s Windows-centric approach at the time didn’t work well for the team.

Business Intelligence 130

Business Intelligence BI Database-centric Google Cloud 130

Maxime Beauchemin

JANUARY 20, 2017

Like data scientists, data engineers write code. There’s a multitude of reasons why complex pieces of software are not developed using drag and drop tools: it’s that ultimately code is the best abstraction there is for software. blobs: modern databases have a growing support for blobs through native types and functions.

Data Engineer 130

Data Engineer Data Engineering Engineering ETL Tools 130

Towards Data Science

JULY 13, 2023

In this post, we’re going to share how Hamilton , an open source framework, can help you write modular and maintainable code for your large language model (LLM) application stack. The example we’ll walk you through will mirror a typical LLM application workflow you’d run to populate a vector database with some text knowledge.

Building 97

Building Database-centric Database Coding 97

AltexSoft

JUNE 7, 2021

Hadoop hides away the complexities of distributed computing, offering an abstracted API to get direct access to the system’s functionality and its benefits — such as. Every three seconds workers send signals to their master to inform it that everything goes well and data is ready to be accessed. High latency of data access.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Cloudera

SEPTEMBER 17, 2020

For a data engineer that has already built their Spark code on their laptop, we have made deployment of jobs one click away. Airflow allows defining pipelines using python code that are represented as entities called DAGs. Each DAG is defined using python code. Job Deployment Made Simple. Automation APIs.

Data Pipeline 104

Data Pipeline Data Engineer Data Engineering Engineering 104

Knowledge Hut

DECEMBER 26, 2023

These data have been accessible to us because of the advanced and latest technologies which are used in the collection of data. Data Engineers are skilled professionals who lay the foundation of databases and architecture. Data engineers who focus on databases work with data warehouses and develop different table schemas.

Data Engineer 98

Data Engineer Data Engineering Engineering Hadoop 98

Confluent

AUGUST 19, 2019

When it comes to writing a connector, there are two things you need to know how to do: how to write the code itself, and helping the world know about your new connector. This documentation is brand new and represents some of the most informative, developer-centric documentation on writing a connector to date.

Programming 15

Programming Kafka Database-centric MongoDB 15

DareData

MARCH 5, 2024

At DareData Engineering, we believe in a human-centric approach, where AI agents work together with humans to achieve faster and more efficient results. Positioned as the first commercial application of its kind within NOS , this chatbot serves as a gateway for customers to access information about NOS services seamlessly.

Database-centric 52

Database-centric Telecommunication SQL Unstructured Data 52

Precisely

APRIL 20, 2023

The National Association of REALTORS ® clearly understands this challenge, which is why it built RPR (Realtors Property Resource), the nation’s largest parcel-centric database, exclusively for REALTORS ®. Plus, things change – ZIP Codes are added, neighborhoods are constructed – so RPR is constantly looking to improve its match rates.

Database-centric 52

Database-centric Database Data Datasets 52

U-Next

AUGUST 17, 2022

Data Engineer roles and responsibilities include aiding in the collection of issues and the delivery of remedies addressing customer demand and product accessibility. Pipeline-centric: Pipeline-centric Data Engineers collaborate with data researchers to maximize the use of the info they gather.

Data Engineer 52

Data Engineer Data Engineering Database-centric Pipeline-centric 52

RandomTrees

SEPTEMBER 27, 2024

With One Lake serving as a primary multi-cloud repository, Fabric is designed with an open, lake-centric architecture. Mirroring (a data replication capability) : Access and manage any database or warehouse from Fabric without switching database clients; Mirroring will be available for Azure Cosmos DB, Azure SQL DB, Snowflake, and Mongo DB.

Database-centric 52

Database-centric Pipeline-centric IT BI 52

ThoughtSpot

OCTOBER 18, 2024

In the fast-paced world of software development, the efficiency of build processes plays a crucial role in maintaining productivity and code quality. The parser used advanced regular expressions and parsing techniques to extract critical data, such as build duration, failure points, and related code changes.

Building 52

Building Process Pipeline-centric Database-centric 52

Booking.com Engineering

NOVEMBER 27, 2024

All you need to know for a quick start with Domain DrivenDesign Created using DALLE In todays fast-paced development environment, organising code effectively is critical for building scalable, maintainable, and testable applications. At its core, Hexagonal Architecture is a domain-centric approach.

Architecture 46

Architecture Database-centric Pipeline-centric Java 46

Knowledge Hut

APRIL 24, 2024

typically represents several objects and functions accessible to JavaScript code. JavaScript code can now execute outside of the browser, thanks to Node.js. JS is an MIT-licensed accessible framework. To run and execute the code outside the browser, we can utilize Node.js. The differences between Node.js

Programming Language 52

Programming Language Database-centric Programming Python 52

Knowledge Hut

NOVEMBER 15, 2023

Looking for a position to test my skills in implementing data-centric solutions for complicated business challenges. Sound knowledge of developing web portals, e-commerce applications, and code authoring. Seeking to provide coding and scripting competencies to the company's IT dept. An entry-level graduate with B.S.

Finance 98

Finance Certification Database-centric Business Intelligence 98

Snowflake

JANUARY 15, 2025

Over the last three geospatial-centric blog posts, weve covered the basics of what geospatial data is, how it works in the broader world of data and how it specifically works in Snowflake based on our native support for GEOGRAPHY , GEOMETRY and H3. Lets dig into one way that you can use that geocoded data.

Transportation 72

Transportation BI Database-centric Metadata 72

Knowledge Hut

FEBRUARY 27, 2023

In large organizations, data engineers concentrate on analytical databases, operate data warehouses that span multiple databases, and are responsible for developing table schemas. Data engineering is all about building, designing, and optimizing systems for acquiring, storing, accessing, and analyzing data at scale.

Data Engineer 52

Data Engineer Data Engineering Database-centric Pipeline-centric 52

ProjectPro

JUNE 1, 2015

Access to quality healthcare, medicines, and care centers 2. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization We have come a long way, but have we been able to harness the full power of Big Data analytics in healthcare ? Today healthcare comes with many challenges.

Healthcare 52

Healthcare Big Data Database-centric Hospitality 52

Knowledge Hut

JULY 26, 2023

These backend tools cover a wide range of features, such as deployment utilities, frameworks, libraries, and databases. Better Data Management: Database management solutions offered by backend tools enable developers to quickly store, retrieve, and alter data. Makes monitoring activity accessible. Documentation 4.

Database-centric 52

Database-centric Programming Language Pipeline-centric Utilities 52

Ascend.io

SEPTEMBER 14, 2023

As the field of data engineering evolves, the need for a versatile, performant, and easily accessible language becomes paramount. Immediate Execution: Python code runs directly through the interpreter, eliminating the need for a separate compilation step. It's specialized for database querying. Why Python for Data Engineering?

Data Engineer 52

Data Engineer Data Engineering Python Engineering 52

Edureka

JULY 3, 2024

Code-free Data Flow Mapping Data Flows in Azure Data Factory allows non-developers to build complex data transformations, plus clean, filter, and manipulate the data on the fly without writing a single line of code. Moreover, role-based access control (RBAC) within ADF enables you to assign specific permissions to users and groups.

Pipeline-centric 52

Pipeline-centric Data Lake Database-centric Data Pipeline 52

phData: Data Engineering

DECEMBER 20, 2022

Data modernization is an umbrella term for the many ways businesses upgrade their data infrastructure, typically with cloud-centric solutions like the Snowflake Data Cloud. The cloud also democratizes access to data, whereas on-premises databases tend to restrict access and create silos.

Cloud 52

Cloud Database-centric Data Data Warehouse 52

DareData

JULY 29, 2020

One paper suggests that there is a need for a re-orientation of the healthcare industry to be more "patient-centric". Furthermore, clean and accessible data, along with data driven automations, can assist medical professionals in taking this patient-centric approach by freeing them from some time-consuming processes.

Data Pipeline 52

Data Pipeline Healthcare Medical Pipeline-centric 52

Knowledge Hut

MARCH 19, 2024

Basically, it contains a code editor, a compiler or interpreter, a debugger, and other essential tools aiding in the smoothing of the development process. Sometimes, it may include a code editor, build automation tools, and a debugger. This is so that harmonious flow is maintained during the life of the software.

Pipeline-centric 52

Pipeline-centric Database-centric Software Engineer Software Engineering 52

Knowledge Hut

SEPTEMBER 26, 2023

It offers a wide range of services, including computing, storage, databases, machine learning, and analytics, making it a versatile choice for businesses looking to harness the power of the cloud. This cloud-centric approach ensures scalability, flexibility, and cost-efficiency for your data workloads.

Data Lake 52

Data Lake Database-centric Machine Learning Pipeline-centric 52

Knowledge Hut

JUNE 4, 2024

A threat can be anywhere from a minor bug in a code to a complex system hijacking liability through various network and system penetration. Identity and Access Management, including Privileged Access Management for Administrative roles. These include the following: Firewalls.

Insurance 98

Insurance Data Security Education Technology 98

Knowledge Hut

MARCH 15, 2024

Making decisions in the database space requires deciding between RDBMS (Relational Database Management System) and NoSQL, each of which has unique features. Come with me on this adventure to learn the main differences and parallels between two well-known database solutions, i.e., RDBMS vs NoSQL. What is RDBMS? What is NoSQL?

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 52

dbt Developer Hub

NOVEMBER 28, 2021

Having a GitHub pull request template is one of the most important and frequently overlooked aspects of creating an efficient and scalable dbt-centric analytics workflow. For the reviewer, it lets them know what it is they are reviewing before laying eyes on any code. Let's explore how to use each section and its benefits.

Database-centric 52

Database-centric BI SQL Coding 52

Grouparoo

OCTOBER 6, 2021

If so, find a way to abstract the silos to have one way to access it all. We handle the "_deleted" table approach already. What does that do? 15 Cultivate Good Working Relationships with Data Consumers Practice empathy 16 Data Engineering != how fast are queries? how many concurrent queries can we handle?

Data Engineer 52

Data Engineer Data Engineering Engineering Pipeline-centric 52

Knowledge Hut

FEBRUARY 6, 2024

Around 2007, the software development and IT operations groups expressed concerns about the conventional software development approach, in which developers wrote code separately from operations, who deployed and supported the code. Cloud Instead of using your own hard drive, the cloud is a way to store or access your data online.

Pipeline-centric 52

Pipeline-centric Database-centric AWS Manufacturing 52

Knowledge Hut

MARCH 22, 2024

However, apart from managing the look and feel of a website or app, they also ensure cross-browser compatibility, performance optimization, interactive behavior, accessibility compliance, and much more. Responsibilities: Defines front-end development tools and processes, mentors junior developers, and ensures code quality and maintainability.

Education 52

Education Certification Database-centric Telecommunication 52

Knowledge Hut

NOVEMBER 2, 2023

Tools and Technologies Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Cosmos DB, Power BI. Their responsibilities involve configuring and managing Continuous Integration/ Continuous Deployment (CI/CD) pipelines, implementing Infrastructure as Code (IaC), source control management.

Data Engineer 52

Data Engineer Data Engineering Engineering Pipeline-centric 52

ProjectPro

MARCH 19, 2015

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. There is a need for a database technology that can render 24/7 support to store, process and analyze this data. Table of Contents Can the conventional SQL scale up to these requirements?

NoSQL 49

NoSQL Big Data SQL Database-centric 49

Knowledge Hut

JANUARY 30, 2024

Data extraction is the vital process of retrieving raw data from diverse sources, such as databases, Excel spreadsheets, SaaS platforms, or web scraping efforts. Identifying customer segments based on purchase behavior in a sales database. What is data extraction? Patterns, trends, relationships, and knowledge discovered from the data.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

Knowledge Hut

DECEMBER 27, 2023

Accessing and storing huge data volumes for analytics was going on for a long time. Variety : Refers to the professed formats of data, from structured, numeric data in traditional databases, to unstructured text documents, emails, videos, audios, stock ticker data and financial transactions. Then computers started doing the same.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Scott Logic

MARCH 25, 2024

Users will typically access the platform via the desktop application Power BI Desktop. Users will typically access the platform via the desktop application Tableau Desktop. It’s possible to produce no-code visualisations, but users with technical know-how can extend the capabilities of the tool beyond the out-of-the-box features.

BI 52

BI Business Intelligence Cloud AWS 52

ProjectPro

DECEMBER 16, 2021

Consider an AI/ML system as the combination of "Data" and "Code." Python or R is a must-know programming language as they invariably stand as the industry's choice for applying Machine Learning, be it writing code, implementation, or deployment. Suppose you understand AI/ML and Data Science as a combination of two words.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52