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.

Data Analytics 52

Data Analytics Data Architect Transportation Data Science 52

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 Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

JANUARY 18, 2024

Data science provides several job roles with high salaries. Data Scientist-(average salary: Rs 11 lakhs, can reach up to Rs 25 lakhs) Data analyst-(average salary: Rs 4.2 lakhs) Data architect-(average salary: Rs 23 lakhs, can reach up to Rs 38.5 lakhs) Data engineer-(average salary: Rs8.1

Data Science 52

Data Science Computer Science Programming Language NoSQL 52

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.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

Knowledge Hut

MARCH 22, 2024

Fluency in programming languages, cloud orchestration tools, and skills in software development and cloud computing are required. Cloud Administrators As Cloud Administrators, you will effectively provision, configure, and maintain virtual systems and software on AWS cloud platforms.

AWS 52

AWS Amazon Web Services Cloud Computing Google Cloud 52

Knowledge Hut

NOVEMBER 19, 2023

AI as a Career Choice The development of Artificial Intelligence (AI) offers a promising career option for those interested in understanding how technology can assist with data and problem resolution. 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

Knowledge Hut

FEBRUARY 27, 2023

Data Engineers indulge in the whole data process, from data management to analysis. Engineers work with Data Scientists to help make the most of the data they collect and have deep knowledge of distributed systems and computer science. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

AltexSoft

JUNE 29, 2021

Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. This article will focus on the role of a machine learning engineer, their skills and responsibilities, and how they contribute to an AI project’s success. Who does what in a data science team.

Machine Learning 105

Machine Learning Engineering Algorithm Programming Language 105

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 Scala 52

ProjectPro

FEBRUARY 8, 2023

ETL stands for Extract, Transform, and Load, which involves extracting data from various sources, transforming the data into a format suitable for analysis, and loading the data into a destination system such as a data warehouse. 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

In this post, we will present an overview of a technical architect and discuss essential ideas such as a technical architect's roles and responsibilities, necessary skills and Experience. Who is a Technical Architect? What Does a Technical Architect Do? A technical architect oversees IT projects from start to finish.

Consulting 52

Consulting Architecture Programming Language SQL 52

Knowledge Hut

APRIL 20, 2023

Each of these fields is involved in protecting digital assets and ensuring the security of computer systems, networks, and information. It employs sophisticated methods to safeguard data confidentiality, preserve data integrity and authenticity, and ensure timely data availability.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

Knowledge Hut

NOVEMBER 27, 2023

Data Science is a field that uses scientific methods, algorithms, and processes to extract useful insights and knowledge from noisy data. Data Science is how the modern world leverages data to answer questions with the help of advanced computational systems and extensions of statistical methods.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

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

OCTOBER 8, 2023

With a collection of robust tools and services that help businesses handle data at scale, AWS has become the preferred service provider for some leading internet businesses, like Facebook, Netflix, LinkedIn, Twitch, etc. If you want to build a career in data technologies, then the AWS platform is right for you.

AWS 52

AWS Data Engineering Data Engineer Engineering 52

Knowledge Hut

NOVEMBER 19, 2023

To be eligible for this exam, you must have an understanding of Azure applications, cloud, operating systems, and storage infrastructure. Also, the candidate must be proficient in at least one programming language supported by the cloud. Most regular users are familiar with the Windows operating system from Microsoft.

Certification 98

Certification Cloud Computing Amazon Web Services AWS 98

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. Even those with no prior programming experience/knowledge can quickly learn any of the languages mentioned above.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 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 Engineering Data Engineer Engineering 52

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 Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

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

Knowledge Hut

MAY 3, 2023

A data analyst is responsible for analyzing large data sets and extracting insights from them. They use statistical analysis tools and programming languages to identify patterns, trends, and insights. The difference between a data analyst and a data engineer lies in their focus areas and skill sets.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Cleanse 98

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

Knowledge Hut

DECEMBER 21, 2023

To boost database performance, data engineers also update old systems with newer or improved versions of current technology. As a data engineer, a strong understanding of programming, databases, and data processing is necessary. The average US salary for a senior data engineer is around $150,000 per year.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

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

Snowflake

NOVEMBER 22, 2023

Piyush Shandilya, Data Architect at CityFibre explains how the company uses Snowflake to process and analyze large, integrated data sets at speed, powering future growth and delivering next-gen connectivity. But when it comes to data, the company found that rapid growth can quickly outstrip data infrastructure capabilities.

IT 70

IT Data Architect Unstructured Data Programming Language 70

Knowledge Hut

SEPTEMBER 26, 2023

These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets. Connectivity: Databricks is designed to seamlessly connect to a wide array of data sources and systems, which is essential for organizations dealing with diverse data landscapes.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

ProjectPro

JUNE 28, 2016

To explain Apache Kafka in a simple manner would be to compare it to a central nervous system than collects data from various sources. This data is constantly changing, and is voluminous. This data can be anything from clickstream data, activity/ web logs, consumer data, etc.

Kafka 40

Kafka Systems Hadoop BI 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 equally excellent and veracious when put against in comparison as messaging systems.

Kafka 52

Kafka Big Data Java Architecture 52

ProjectPro

JANUARY 31, 2023

Key features Hadoop RDBMS Overview Hadoop is an open-source software collection that links several computers to solve problems requiring large quantities of data and processing. RDBMS is a part of system software used to create and manage databases based on the relational model. RDBMS stores structured data.

Big Data 52

Big Data Hadoop AWS Relational Database 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

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

ProjectPro

JULY 27, 2021

Below are some big data interview questions for data engineers based on the fundamental concepts of big data, such as data modeling, data analysis , data migration, data processing architecture, data storage, big data analytics, etc. SQL works on data arranged in a predefined schema.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40