Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Workfall

JULY 18, 2023

In the vast realm of data engineering and analytics, a tool emerged that felt like a magical elixir. DBT , the Data Build Tool. Think of DBT as the trusty sidekick that accompanies data analysts and engineers on their quests to transform raw data into golden insights.

Datasets 77

Datasets Entertainment Data Workflow Data 77

Knowledge Hut

DECEMBER 28, 2023

An Azure Data Engineer is responsible for designing, implementing and managing data solutions on Microsoft Azure. The Azure Data Engineer certification imparts to them a deep understanding of data processing, storage and architecture. It also shows that they can manage data workflows across various Azure services.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Workfall

JULY 4, 2023

Reading Time: 8 minutes In the world of data engineering, a mighty tool called DBT (Data Build Tool) comes to the rescue of modern data workflows. Imagine a team of skilled data engineers on an exciting quest to transform raw data into a treasure trove of insights.

Data Warehouse 69

Data Warehouse SQL PostgreSQL Database 69

ProjectPro

JANUARY 20, 2016

If you want to work with big data , then learning Hadoop is a must - as it is becoming the de facto standard for big data processing. Apache Pig helps SQL server professionals create parallel data workflows. Apache pig eases data manipulation over multiple data sources using a combination of tools.

Hadoop 52

Hadoop SQL Java Big Data 52

Ascend.io

DECEMBER 11, 2023

Data orchestration is the process of efficiently coordinating the movement and processing of data across multiple, disparate systems and services within a company. Not every team needs data orchestration. However, this approach quickly shows its limitations as data volume escalates.

Data Workflow 52

Data Workflow Data Pipeline Data Lake Data 52

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is the role of a Data Engineer? They are also accountable for communicating data trends. These are as follows: 1.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98