AltexSoft

FEBRUARY 11, 2023

However, in practice, many companies don’t necessarily have data architects so there are only data engineers and this distinction won’t be applicable. The daily tasks of a data architect require more of a strategic thinking, while a data engineer’s workload is more about building the software infrastructure, which are technical tasks.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

SEPTEMBER 26, 2023

We as Azure Data Engineers should have extensive knowledge of data modelling and ETL (extract, transform, load) procedures in addition to extensive expertise in creating and managing data pipelines, data lakes, and data warehouses. ETL activities are also the responsibility of data engineers.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 6, 2023

Why Should You Take Big Data Certification? Taking Big Data Certification has multifold benefits. It would immensely help people who are working with big data technologies, want to switch into big data technologies, and even other software professionals in terms of technological-awareness.

Big Data 52

Big Data Certification Hadoop Scala 52

Edureka

FEBRUARY 9, 2023

The role of Azure Data Engineer is in high demand in the field of data management and analytics. As an Azure Data Engineer, you will be in charge of designing, building, deploying, and maintaining data-driven solutions that meet your organization’s business needs. According to the 2020 U.S.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Knowledge Hut

JUNE 23, 2023

The core objective is to provide scalable solutions to data analysts, data scientists, and decision-makers of organizations. Data engineering is one of the highest in-demand jobs in the technology industry and is a well-paying career. Data warehousing to aggregate unstructured data collected from multiple sources.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

JULY 4, 2023

Present the Data: Use congregating guides like graphs and charts, producing reports in written format, and delivering info to interested clients. Top Data Analytics Job Titles Based on Experience Due to their fluid and flexible character, careers in technology and information are vulnerable to sharp changes in demand.

Data Analytics 52

Data Analytics Data Architect Transportation Data Science 52

ProjectPro

JANUARY 19, 2022

ProjectPro has precisely that in this section, but before presenting it, we would like to answer a few common questions to strengthen your inclination towards data engineering further. What is Data Engineering? Data Engineering refers to creating practical designs for systems that can extract, keep, and inspect data at a large scale.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

JUNE 20, 2023

Let's find out the differences between a data scientist and a machine learning engineer below to make an informative decision. Data Engineer vs Machine Learning Engineer While there are similarities between a data engineer and a machine learning engineer, both play a key role in the technological world.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

ProjectPro

FEBRUARY 25, 2022

It is a beautiful technique for implementing data science projects that allow businesses to increase their projects’ efficiency minimize the risk of introducing machine learning, artificial intelligence, and data-science-related technologies. Experience with using Big Data tools for a data science project deployment.

Deep Learning 52

Deep Learning Algorithm Machine Learning Data Science 52

ProjectPro

AUGUST 24, 2021

But before you send out your resume for any data engineer job, and if you want to get shortlisted for further rounds, you need to have ample knowledge of various data engineering technologies and methods. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Databand.ai

DECEMBER 13, 2022

Follow Joseph on LinkedIn 2) Charles Mendelson Associate Data Engineer at PitchBook Data Charles is a skilled data engineer focused on telling stories with data and building tools to empower others to do the same, all in the pursuit of guiding a variety of audiences and stakeholders to make meaningful decisions.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

SEPTEMBER 26, 2021

This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2 Several industries across the globe are using Big Data tools and technology in their processes and operations. billion by 2025.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 31, 2023

The Big data market was worth USD 162.6 Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Big data is a combination of several technologies.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

JANUARY 19, 2022

Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer. The big data industry is flourishing, particularly in light of the pandemic's rapid digitalization.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

JANUARY 25, 2022

One of the most in-demand technical skills these days is analyzing large data sets, and Apache Spark and Python are two of the most widely used technologies to do this. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

JUNE 24, 2021

Even data that has to be filtered, will have to be stored in an updated location. Programming languages like R and Python: Python and R are two of the most popular analytics programming languages used for data analytics. That means actually working on data analytics projects.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

Knowledge Hut

NOVEMBER 20, 2023

Certification in DevOps enables build acceleration technologies to speed up code compilation and parallel workflow operations to improve the performance of the continuous delivery chain. It makes it easy for businesses to turn data into money in a competitive market quickly.

Certification 52

Certification AWS Amazon Web Services Consulting 52

ProjectPro

JANUARY 20, 2016

One can easily learn and code on new big data technologies by just deep diving into any of the Apache projects and other big data software offerings. It is very difficult to master every tool, technology or programming language. Hadoop is one such technology.

Hadoop 52

Hadoop SQL Java Big Data 52

ProjectPro

NOVEMBER 30, 2021

Up-to-date knowledge of new technologies and methodologies. In this project, you will build an automated price recommendation system using Mercari’s dataset to suggest prices to their sellers for different products based on the information collected. Thus, you will find the projects described below rely on these tools.

Business Analyst 52

Business Analyst Project Retail Datasets 52

ProjectPro

JULY 21, 2021

However, if you're here to choose between Kafka vs. RabbitMQ, we would like to tell you this might not be the right question to ask because each of these big data tools excels with its architectural features, and one can make a decision as to which is the best based on the business use case. What is Kafka? Binary exchange.

Kafka 52

Kafka Big Data Java Architecture 52

ProjectPro

JUNE 29, 2016

“I already have a job, so I don’t need to learn a new programming language.” Having highlighted the demand for open source developers, one cannot ignore what’s trending in the open source technology domain. Which big data tools and technologies should you try to master?

Hadoop 40

Hadoop Big Data Banking Consulting 40

ProjectPro

DECEMBER 14, 2021

Business users utilize these services to collect data and generate BI reports. These three components are all meant to assist in building, exchanging, and leveraging business insights in the most efficient way possible for any business. For this project idea, use the Seattle building permits dataset from Kaggle.

BI 52

BI Project Business Intelligence Datasets 52

ProjectPro

NOVEMBER 22, 2021

Although Spark was originally created in Scala, the Spark Community has published a new tool called PySpark, which allows Python to be used with Spark. Furthermore, PySpark aids us in working with RDDs in the Python programming language. Is PySpark a Big Data tool? It also provides us with a PySpark Shell.

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

MARCH 7, 2016

If your career goals are headed towards Big Data, then 2016 is the best time to hone your skills in the direction, by obtaining one or more of the big data certifications. Acquiring big data analytics certifications in specific big data technologies can help a candidate improve their possibilities of getting hired.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

ProjectPro

NOVEMBER 14, 2015

As we step into the latter half of the present decade, we can’t help but notice the way Big Data has entered all crucial technology-powered domains such as banking and financial services, telecom, manufacturing, information technology, operations, and logistics. Data Integration 3.Scalability Scalability 4.Link

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

FEBRUARY 24, 2016

This blog breaks down the data science salary figures for today’s data workforce based on which company they work for, years of experience, specialization of data science tools and technologies, location, and other factors. The salary of a data scientist usually increases in the first few years.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

ProjectPro

APRIL 20, 2017

But when you browse through hadoop developer job postings, you become a little worried as most of the big data hadoop job descriptions require some kind of experience working on projects related to Hadoop. Hadoop projects for beginners are simply the best thing to do to learn the implementation of big data technologies like Hadoop.

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

AUGUST 21, 2015

The reduce job then takes the output of the map job and combines the data tuples to into a smaller set of tuples. Hadoop applications have a wide range of technologies that provide a great advantage in solving complex business problems. YARN is a large scale distributed system for running big data applications.

Hadoop 40

Hadoop Big Data Metadata Java 40