Knowledge Hut

DECEMBER 21, 2023

In this article, we will understand the promising data engineer career outlook and what it takes to succeed in this role. What is Data Engineering? Data engineering is the method to collect, process, validate and store data. It involves building and maintaining data pipelines, databases, and data warehouses.

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Edureka

FEBRUARY 7, 2023

Azure Data Engineers use a variety of Azure data services, such as Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, and Azure Databricks, to design and implement data solutions that meet the needs of their organization. How to Become an Azure Data Engineer?

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Data Engineering Data Engineer Engineering Programming Language 52

Knowledge Hut

MARCH 13, 2024

It is often said that big data engineers should have both depth and width in their knowledge. Technical expertise: Big data engineers should be thorough in their knowledge of technical fields such as programming languages, such as Java and Python, database management tools like SQL, frameworks like Hadoop, and machine learning.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 13, 2024

It is often said that big data engineers should have both depth and width in their knowledge. Technical expertise Big data engineers should be thorough in their knowledge of technical fields such as programming languages, such as Java and Python, database management tools like SQL, frameworks like Hadoop, and machine learning.

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Knowledge Hut

JUNE 23, 2023

You can start as a software engineer, business intelligence analyst, data architect, solutions architect, or machine learning engineer. You can simultaneously work on your skills, knowledge, and experience and launch your career in data engineering.

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Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

MARCH 22, 2024

Gain cutting-edge Cloud Architect skills to future-proof your tech career success and confidently join elite AWS-certified professionals to drive innovation in the cloud. Role Importance: Cloud Developers build scalable and efficient cloud-based applications and drive innovation and digital transformation within organizations.

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Knowledge Hut

JULY 4, 2023

This blog lists some of the most lucrative positions for aspiring data analysts. Among the highest-paying roles in this field are Data Architects, Data Scientists, Database Administrators, and Data Engineers. They create their own algorithms to modify data to gain more insightful knowledge.

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Data Analytics Data Architect Transportation Data Science 52

Knowledge Hut

FEBRUARY 27, 2023

Data engineers are in demand across the globe and are attracting lucrative salaries, especially in the USA, UK, Australia, India, Singapore, and Canada. So, learn Data Science online , and build a strong career with a high pay scale. What is Data Engineering?

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Data Engineering Data Engineer Database-centric Pipeline-centric 52

Knowledge Hut

DECEMBER 29, 2023

In this role, they would help the Analytics team become ready to leverage both structured and unstructured data in their model creation processes. They construct pipelines to collect and transform data from many sources. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes.

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ProjectPro

JULY 15, 2021

From cloud computing consultants to big data architects, companies across the world are looking to hire big data and cloud experts at an unparalleled rate. Practicing diverse real-world hands-on cloud computing projects is the only way to master related cloud skills if you want to land a top gig as a cloud expert.

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Knowledge Hut

JULY 27, 2023

An expert who uses the Hadoop environment to design, create, and deploy Big Data solutions is known as a Hadoop Developer. They are skilled in working with tools like MapReduce, Hive, and HBase to manage and process huge datasets, and they are proficient in programming languages like Java and Python. What do they do?

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Hadoop Programming Language Banking Scala 52

AltexSoft

JUNE 29, 2021

The focus here is on engineering, not on building ML algorithms. The primary goal of this specialist is to deploy ML models to production and automate the process of making sense of data — as far as it’s possible. So, it is no surprise that they are often confused with data scientists and data engineers.

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Knowledge Hut

NOVEMBER 19, 2023

How to become: Get a degree in computer science or any other related field, master big data technologies such as HD and SRK, and be involved in real-world data projects. Job Titles That Follow: Positions like Big Data Engineer, Data Architect, Data Scientist etc.

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Computer Science Programming Language Machine Learning Business Intelligence 52

Knowledge Hut

OCTOBER 8, 2023

These companies are constantly looking out for professionals who are familiar with and can develop newer technologies and systems for larger volumes of data. If you want to build a career in data technologies, then the AWS platform is right for you. Python: Another high-level programming language.

AWS 52

AWS Data Engineering Data Engineer Engineering 52

ProjectPro

FEBRUARY 8, 2023

A quick LinkedIn search for ETL (Extract, Transform, Load) developer role shows over 73,771 results, clearly showing that the demand for ETL developers is high due to the increasing need for organizations to manage and analyze large amounts of data. Data Warehousing Knowledge of data cubes, dimensional modeling, and data marts is required.

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Knowledge Hut

NOVEMBER 27, 2023

Is it the part where you turn raw data into useful ones, or it the part where you engineer new features out of the existing ones in order to help create suitable models? Is it Data Visualization where you present your findings in form of a report or a Dashboard, or is it Machine Learning where you build ML models and deploy them?

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Data Science Healthcare Machine Learning Telecommunication 97

Knowledge Hut

MAY 8, 2023

The technical architect is typically a professional IT position responsible for completing certain technical duties inside an organization. They are specialists in a certain field of technology like information or data architects, belong under the domain architect umbrella. What Does a Technical Architect Do?

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ProjectPro

DECEMBER 21, 2021

These include the skills needed for a machine learning career, a few machine learning projects for practice to develop those skills, and a clear grasp of the different types of machine learning careers available. This includes knowledge of data structures (such as stack, queue, tree, etc.),

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Machine Learning Engineering Algorithm Computer Science 52

Knowledge Hut

SEPTEMBER 26, 2023

These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets. Azure provides the infrastructure and tools necessary to build, deploy, and manage applications and services efficiently. What is Azure Synapse?

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Knowledge Hut

NOVEMBER 19, 2023

Also, the candidate must be proficient in at least one programming language supported by the cloud. You must have the ability of designing and implementing DevOps practices for version control, infrastructure as code, configuration management, releasing, compliance, building, and testing using the Azure technologies.

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Knowledge Hut

DECEMBER 27, 2023

These professionals also perform quality assurance activities on projects as well as maintain an ongoing relationship with key stakeholders throughout the project lifecycle. A business analyst is a professional who collects, analyzes, and reports data to solve business problems. What does a Business Analyst do?

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Business Analyst Computer Science Finance Data Analysis 52

ProjectPro

JANUARY 31, 2023

The end of a data block points to the location of the next chunk of data blocks. DataNodes store data blocks, whereas NameNodes store these data blocks. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples. Explain the data preparation process.

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Airbnb Tech

NOVEMBER 3, 2020

Part 1 —  Rebuilding at Scale Authors: Jonathan Parks, Vaughn Quoss, Paul Ellwood Introduction At Airbnb, we’ve always had a data-driven culture. Airbnb leadership signed off on the Data Quality initiative — a project of massive scale to rebuild the data warehouse from the ground up using new processes and technology.

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Data Warehouse Scala Datasets Data Engineering 52

ProjectPro

SEPTEMBER 26, 2021

The senior-level roles require expert knowledge and skills in complex data analysis and programming. Hands-on experience working on diverse data engineering projects alongside professional expertise can also help get better compensation for senior big data engineer job roles.

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Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

AUGUST 11, 2016

However, if you discuss these tools with data scientists or data analysts, they say that their primary and favourite tool when working with big data sources and Hadoop , is the open source statistical modelling language – R. Since, R is not very scalable, the core R engine can process only limited amount of data.

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ProjectPro

JUNE 17, 2015

We have gathered the list of top 15 cloud and big data skills that offer high paying big data and cloud computing jobs which fall between $120K to $130K- 1) Apache Hadoop - Average Salary $121,313 According to Dice, the pay for big data jobs for expertise in hadoop skills has increased by 11.6% from the last year.

Cloud Computing 40

Cloud Computing Big Data R (Programming) Big Data Skills 40

ProjectPro

JULY 27, 2021

A sound command over software and programming languages is important for a data scientist and a data engineer. Read more for a detailed comparison between data scientists and data engineers. How is a data architect different from a data engineer? What is a distributed cache?

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JULY 21, 2021

As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Apache Kafka and RabbitMQ are messaging systems used in distributed computing to handle big data streams– read, write, processing, etc.

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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.

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ProjectPro

FEBRUARY 24, 2016

Unlike other kinds of data specialists who specialize in a specific task (such as data engineers and data analysts ), data scientists tackle the end-to-end lifecycle of a data science project right from data acquisition to model optimization to communicating insights to stakeholders.

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ProjectPro

JUNE 29, 2016

“I already have a job, so I don’t need to learn a new programming language.” This is the best time to start honing your trench for big data career through project based Hadoop Developer Training or Hadoop Administration Training.

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Hadoop Big Data Banking Consulting 40

Confluent

MAY 21, 2019

When you build microservices architectures, one of the concerns you need to address is that of communication between the microservices. At first, you may think to use REST APIs—most programming languages have frameworks that make it very easy to implement REST APIs, so this is a common first choice.

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