Knowledge Hut

NOVEMBER 28, 2023

Technical Data Engineer Skills 1.Python Python Python is one of the most looked upon and popular programming languages, using which data engineers can create integrations, data pipelines, integrations, automation, and data cleansing and analysis. ETL is central to getting your data where you need it.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Cloud Academy

JANUARY 27, 2022

Part of the Data Engineer’s role is to figure out how to best present huge amounts of different data sets in a way that an analyst, scientist, or product manager can analyze. What does a data engineer do? A data engineer is an engineer who creates solutions from raw data.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Silectis

JANUARY 3, 2021

Big Data Processing In order to extract value or insights out of big data, one must first process it using big data processing software or frameworks, such as Hadoop. Big Query Google’s cloud data warehouse. Data Catalog An organized inventory of data assets relying on metadata to help with data management.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

DECEMBER 21, 2023

Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language). For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. Understanding of Big Data technologies such as Hadoop, Spark, and Kafka.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Rockset

AUGUST 13, 2020

But what about your entire data architecture - what about the other data stores you need and how do you serve your BI and apps? How much of your data architecture has gone serverless? What parts of your current application stack are serverless?

NoSQL 40

NoSQL BI Data Lake Architecture 40

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer performs a multi-faceted role in an organization by identifying, extracting, and delivering the data sets in useful formats. A Big Data Engineer also constructs, tests, and maintains the Big Data architecture. You must have good knowledge of the SQL and NoSQL database systems.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 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? Due to this, it’s much easier for data engineering teams to build and manage data pipelines.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Rockset

JANUARY 3, 2023

In the future, we expect to see a shift from companies using data pipelines to manage their data streaming needs to allowing this data to serve as a central nervous system so more people can derive smarter insights from it.” With data applications, the application is always on.

Data Warehouse 52

Data Warehouse Education Database Data 52

ProjectPro

NOVEMBER 14, 2015

This data can be analysed using big data analytics to maximise revenue and profits. We need to analyze this data and answer a few queries such as which movies were popular etc. To this group, we add a storage account and move the raw data. Then we create and run an Azure data factory (ADF) pipelines.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

JANUARY 19, 2022

While data scientists are primarily concerned with machine learning, having a basic understanding of the ideas might help them better understand the demands of data scientists on their teams. Data engineers don't just work with conventional data; and they're often entrusted with handling large amounts of data.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

AltexSoft

JULY 19, 2022

What data mesh is and is not. What data mesh IS. Data mesh is a set of principles for designing a modern distributed data architecture that focuses on business domains, not the technology used, and treats data as a product. For example, your organization has an HR platform that produces employee data.

Architecture 52

Architecture Data Lake Medical Datasets 52

Databand.ai

DECEMBER 13, 2022

Deepanshu’s skills include SQL, data engineering, Apache Spark, ETL, pipelining, Python, and NoSQL, and he has worked on all three major cloud platforms (Google Cloud Platform, Azure, and AWS). Beyond his work at Google, Deepanshu also mentors others on career and interview advice at topmate.io/deepanshu. deepanshu.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

JULY 27, 2021

It involves creating a visual representation of an entire system of data or a part of it. The process of data modeling begins with stakeholders providing business requirements to the data engineering team. Data warehouse Operational database Data warehouses generally support high-volume analytical data processing - OLAP.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

U-Next

AUGUST 10, 2022

Develop your data architecture: They design, develop, and manage data structures systematically, even while maintaining them in line with business needs. Automate Workflows: Data Engineers go into the data to identify processes that may be automated to remove manual involvement.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Science 52

ProjectPro

APRIL 20, 2017

Having multiple hadoop projects on your resume will help employers substantiate that you can learn any new big data skills and apply them to real life challenging problems instead of just listing a pile of hadoop certifications. How small file problems in streaming can be resolved using a NoSQL database.

Hadoop 40

Hadoop Big Data Coding Project 40