ProjectPro

FEBRUARY 8, 2023

ETL developers play a vital role in designing, implementing, and maintaining the processes that help organizations extract valuable business insights from data. ETL developer is a software developer who uses various tools and technologies to design and implement data integration processes across an organization.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

Knowledge Hut

JANUARY 25, 2024

It doesn't matter if you're a data expert or just starting out; knowing how to clean your data is a must-have skill. The future is all about big data. This blog is here to help you understand not only the basics but also the cool new ways and tools to make your data squeaky clean. What is Data Cleaning?

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

Databand.ai

AUGUST 30, 2023

Unified DataOps represents a fresh approach to managing and synchronizing data operations across several domains, including data engineering, data science, DevOps, and analytics. The goal of this strategy is to streamline the entire process of extracting insights from raw data by removing silos between teams and technologies.

Data Governance 40

Data Governance Data Cleanse Government Data Pipeline 40

RandomTrees

FEBRUARY 6, 2024

Modernization in Data Engineering with GenAI Generation: The Art of Data Creation: Generative AI has emerged as a potent tool for creating synthetic datasets. Generative AI corrects data imbalances, ensuring fair sentiment analysis on e-commerce platforms, enriches training data for natural language processing (NLP) tasks.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Databand.ai

AUGUST 30, 2023

The DataOps framework is a set of practices, processes, and technologies that enables organizations to improve the speed, accuracy, and reliability of their data management and analytics operations. The core philosophy of DataOps is to treat data as a valuable asset that must be managed and processed efficiently.

Data Governance 52

Data Governance Data Pipeline Government Data Cleanse 52

Databand.ai

JUNE 28, 2023

It goes beyond basic monitoring to provide a deeper understanding of how data is moving and being transformed in a pipeline, and is often associated with metrics, logging, and tracing data pipelines. Data pipelines often involve a series of stages where data is collected, transformed, and stored.

Data Pipeline 98

Data Pipeline Data Engineering Data Engineer Engineering 98

AltexSoft

MAY 14, 2021

Not only does Big Data apply to the huge volumes of continuously growing data that come in different formats, but it also refers to the range of processes, tools, and approaches used to gain insights from that data. Key Big Data characteristics. Velocity is the speed at which the data is generated and processed.

Big Data 78

Big Data Data Analytics IT NoSQL 78

DataKitchen

SEPTEMBER 20, 2021

As productivity improves, you can widen the DataOps circle and carefully invest in strategic process change that serves as the foundation for further improvements in team velocity. Lean DataOps relies upon the DataKitchen DataOps Platform , which attaches to your existing data pipelines and toolchains and serves as a process hub.

Data Pipeline 98

Data Pipeline Data Cleanse Process Architecture 98

ProjectPro

DECEMBER 7, 2021

Table of Contents The Ultimate Guide to Build a Data Analyst Portfolio Data Analyst Portfolio Platforms Skills to Showcase On Your Data Analyst Portfolio What to Include in Your Data Analyst Portfolio? Data Analyst Portfolio Examples - What You Can Learn From Them? Wrapping Up.

Portfolio 52

Portfolio Building Data Mining Data Analysis 52

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! But the concern is - how do you become a big data professional?

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. And, out of these professions, this blog will discuss the data engineering job role.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

OCTOBER 20, 2021

It is important to understand how data flows in the real world and what kind of AI interview questions are being discussed across companies. The value of a company lies solely in the interview process. It is a function to find the best model with minimal knowledge or effort from the Data Scientist.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

phData: Data Engineering

JULY 18, 2023

As an AI and data analytics consulting company, phData is on a mission to become the world leader in delivering data services and products on a modern data platform. Throughout this journey, we’ve helped hundreds of clients achieve eye-opening results by moving to the Modern Data Stack.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52