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.

Data Engineer 52

Data Engineer Data Engineering Engineering Non-relational Database 52

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is a professional who is responsible for designing and implementing the management, monitoring, security, and privacy of data using the full stack of Azure data services to satisfy the business needs of an organization.

Data Engineer 52

Data Engineer Data Engineering Engineering Programming Language 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.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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.

Computer Science 52

Computer Science Programming Language Machine Learning Business Intelligence 52

AltexSoft

JUNE 29, 2021

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. MLEs are usually a part of a data science team which includes data engineers , data architects, data and business analysts, and data scientists.

Machine Learning 105

Machine Learning Engineering Algorithm Programming Language 105

Knowledge Hut

MARCH 22, 2024

Fluency in programming languages, cloud orchestration tools, and skills in software development and cloud computing are required. Entry-level roles often focus on specific aspects like cloud migration or cost optimization, while senior roles involve broader strategic planning and managing large-scale cloud projects.

AWS 52

AWS Amazon Web Services Cloud Computing Google Cloud 52

ProjectPro

FEBRUARY 8, 2023

Data Integration and Transformation, A good understanding of various data integration and transformation techniques, like normalization, data cleansing, data validation, and data mapping, is necessary to become an ETL developer. Data Governance Know-how of data security, compliance, and privacy.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

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?

Consulting 52

Consulting Architecture Programming Language SQL 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. It also offers a library system for managing dependencies and sharing code across different notebooks and projects.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

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.),

Machine Learning 52

Machine Learning Engineering Algorithm Data Science 52

Knowledge Hut

APRIL 20, 2023

Data mining, machine learning, statistical analysis, programming languages (Python, R, SQL), data visualization, and big data technologies. Data scientists are responsible for collecting, cleaning, analyzing, and helping organizations make data-driven decisions mostly, which would help them predict future numbers.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

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?

Business Analyst 52

Business Analyst Computer Science Finance Data Analysis 52

Knowledge Hut

NOVEMBER 27, 2023

You can then start coding on Jupyter notebooks, a terrific way to code and store your projects with output. Learn Data Analysis with Python Now that you know how to code in Python start picking toy datasets to perform analysis using Python. Key Skills to Master to Become a Data Scientist 1.

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

Knowledge Hut

NOVEMBER 19, 2023

Also, the candidate must be proficient in at least one programming language supported by the cloud. For instance, if your aspiration in the future is to become a big data architect, you should first take a big data cloud certification followed by an architect level certification.

Certification 98

Certification Cloud Computing Amazon Web Services AWS 98

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.

Big Data 52

Big Data Hadoop Relational Database AWS 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.

Big Data 52

Big Data Data Engineer Data Engineering 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.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

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.

Data Warehouse 52

Data Warehouse Scala Datasets Data Engineer 52

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 data scientist and data engineer role require professionals with a computer science and engineering background, or a closely related field such as mathematics, statistics, or economics. A sound command over software and programming languages is important for a data scientist and a data engineer.

Data Engineer 40

Data Engineer Data Engineering 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.

Kafka 52

Kafka Big Data Java Architecture 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

JUNE 28, 2016

As the problem of storing enormous data volumes got solved, another one reared up – what to do with so much data? Data Analytics is one of the most sought after technical skills for modern day organizations. A modern day Big Data architect has to keep in mind the breakneck rate of increase in data volumes.

Kafka 40

Kafka Systems Hadoop Big Data 40

Confluent

MAY 21, 2019

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. Gwen is a PMC member on the Apache Kafka project and a committer on Apache Sqoop.

Kafka 110

Kafka Insurance Architecture Database 110

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.

Hadoop 40

Hadoop Big Data Banking Consulting 40

Knowledge Hut

DECEMBER 21, 2023

As a data engineer, a strong understanding of programming, databases, and data processing is necessary. Key education and technical skills include: A degree in computer science, information technology, or a related field Expert in programming languages Python, Java, and SQL. Knowledge of Hadoop, Spark, and Kafka.

Data Engineer 52

Data Engineer Data Engineering Engineering MongoDB 52

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. The highest paying data analytics Jobs available for everyone from fresher to experienced are below.

Data Analytics 52

Data Analytics Data Architect Transportation Data Science 52

Knowledge Hut

FEBRUARY 27, 2023

Data engineering builds data pipelines for core professionals like data scientists, consumers, and data-centric applications. It is one of the key job roles that require various technical skills, supreme communication and soft skills, and deep knowledge of multiple programming languages.

Data Engineer 52

Data Engineer Data Engineering Database-centric Pipeline-centric 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 Engineer Data Engineering 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.

Big Data 52

Big Data Data Engineer Data Engineering Engineering 52

Knowledge Hut

MAY 23, 2024

According to the US Bureau of Labor Statistics, a data scientist earns an average salary of $98,000 per year. Roles: A Data Scientist is often referred to as the data architect, whereas a Full Stack Developer is responsible for building the entire stack. However, both of these roles are very different from each other.

Computer Science 98

Computer Science Java Data Science Certification 98

Knowledge Hut

DECEMBER 26, 2023

Data Engineers are engineers responsible for uncovering trends in data sets and building algorithms and data pipelines to make raw data beneficial for the organization. This job requires a handful of skills, starting from a strong foundation of SQL and programming languages like Python , Java , etc.

Data Engineer 98

Data Engineer Data Engineering Engineering Pipeline-centric 98

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. A Master's or Ph.D.

Hadoop 52

Hadoop Programming Language Banking Big Data 52

Knowledge Hut

OCTOBER 8, 2023

Programming/Scripting Languages SQL: A programming language for storing and processing information. Python: Another high-level programming language. Data engineers use this for tasks like automation, data manipulation, and scripting. This can vary from individual to individual.

AWS 52

AWS Data Engineer Data Engineering Engineering 52

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.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40