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

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

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 Engineering 52

Data Engineering Data Engineer Engineering Programming Language 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 Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Knowledge Hut

MARCH 22, 2024

Fluency in programming languages, cloud orchestration tools, and skills in software development and cloud computing are required. Cloud Data Architect A cloud data architect designs, builds and manages data solutions on cloud platforms like AWS, Azure, or GCP.

AWS 52

AWS Amazon Web Services Cloud Computing Google Cloud 52

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.

Hadoop 52

Hadoop Programming Language Banking Scala 52

Knowledge Hut

JUNE 23, 2023

Steps to Become a Data Engineer One excellent point is that you don’t need to enter the industry as a data engineer. You can start as a software engineer, business intelligence analyst, data architect, solutions architect, or machine learning engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

SEPTEMBER 26, 2023

When designing, constructing, maintaining, and troubleshooting data pipelines that transfer data from its source to the proper storage place and make it accessible for analysis and reporting, we collaborate with data architects and data scientists. You can go through the learning path for Azure data engineer.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

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

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

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. Plus, you work on innovative data engineering solutions.

AWS 52

AWS Data Engineering Data Engineer Engineering 52

Knowledge Hut

NOVEMBER 29, 2023

Exam 70-475: Designing and Implementing Big Data Analytics Solutions This exam is for data developers, data architects, data management professionals, and data scientists who use the Microsoft Azure to design big data analytics. This exam has been retired on 30th June, 2019.

Certification 52

Certification Big Data Machine Learning Data Lake 52

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

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

Cloudera

JANUARY 20, 2021

Fig 2: Data collection flow diagram. STEP 3: Monitor data throughput from each factory. Using CDP, ECC data engineers and other line of business users can start using collected data for various tasks ranging from inventory management to parts forecasting to machine learning. Part number. Serial number.

Manufacturing 103

Manufacturing Data Warehouse Kafka Retail 103

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.

Consulting 52

Consulting Architecture Programming Language SQL 52

ProjectPro

DECEMBER 21, 2021

This includes knowledge of data structures (such as stack, queue, tree, etc.), A Machine Learning professional needs to have a solid grasp on at least one programming language such as Python, C/C++, R, Java, Spark, Hadoop, etc. various algorithms (such as searching, sorting, etc.), which is one of the biggest challenges.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 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. In terms of programming languages and frameworks, cloud computing has several applications. The users of this system will be the students, admin, and faculty.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

Knowledge Hut

DECEMBER 27, 2023

Data scientists are responsible for the bulk of the analysis and interpretation of data, so if you decide that this is the field for you, it's essential to know what you're getting into. If moving up isn't appealing, but staying put sounds good, consider a career as a data architect.

Business Analyst 52

Business Analyst Computer Science Finance Data Analysis 52

Knowledge Hut

NOVEMBER 27, 2023

Key Skills to Master to Become a Data Scientist 1. Programming It is the first skill to have if you want to succeed as a Data Scientist. You should be well versed in one of the programming languages; it’s better if it’s Python or R.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

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

Knowledge Hut

MAY 3, 2023

Although the titles of these jobs are frequently used interchangeably, they are separate and call for different skill sets, which results in the difference of the salaries for data engineers and data analysts. A data analyst is responsible for analyzing large data sets and extracting insights from them.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Cleanse 98

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineering professionals with advanced or expert-level knowledge in Java get an annual average salary of $102,171. Similarly, professionals with a good understanding of the R programming language earn a median salary of $75,848. Businesses use Big Data technology and tools alongside several other emerging technologies.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

MARCH 7, 2016

Most of the big data certification initiatives come from the industry with the intent to establish equilibrium between the supply and demand for skilled big data professionals. Below are the top big data certifications that are worth paying attention to in 2016, if you are planning to get trained in a big data technology.

Big Data 40

Big Data Certification Hadoop Big Data Skills 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 Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

ProjectPro

FEBRUARY 24, 2016

Data science involves cleaning, preparing, and enriching data- Python has a great toolset for this. Python programming language helps data scientists get data into a form to be analyzed. 39% of the job postings on LinkedIn mention Python as a critical skill for data scientists. PREVIOUS NEXT <

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 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 71

IT Data Architect Unstructured Data Programming Language 71

Knowledge Hut

SEPTEMBER 26, 2023

These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets. They support multiple programming languages, making it convenient for data professionals with diverse skill sets.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

ProjectPro

JUNE 29, 2016

“I already have a job, so I don’t need to learn a new programming language.” ” If you are thinking this, then it is a very foolish stance to take where your career is concerned.

Hadoop 40

Hadoop Big Data Banking Consulting 40

Cloudera

JANUARY 3, 2018

You need a subject matter expert from the business (someone with decades of industry knowledge), a statistician, and one or more “hackers” who have the ability to use different tools and programming languages to work with the data. Many organizations start with a central group that is “loaned out” to business units.

Big Data 40

Big Data Data Architect Data Science Programming Language 40

Rockset

JULY 22, 2022

Last week, Rockset hosted a conversation with a few seasoned data architects and data practitioners steeped in NoSQL databases to talk about the current state of NoSQL in 2022 and how data teams should think about it. This flexibility is not from the programming language]. Much was discussed.

NoSQL 52

NoSQL SQL Database AWS 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

ProjectPro

JUNE 17, 2015

Access Job Recommendation System Project with Source Code 3) Java - Average Salary $114,234 Java is a popular application programming language that has several other tech skills associated with it like Hadoop and Python. The demand for the old standby Java is at an all time high when combined with other big data technologies.

Cloud Computing 40

Cloud Computing Big Data R (Programming) Big Data Skills 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. When you build microservices architectures, one of the concerns you need to address is that of communication between the microservices.

Kafka 110

Kafka Insurance Architecture Database 110

ProjectPro

JANUARY 31, 2023

Big Data Interview Questions and Answers Based on Job Role With the help of ProjectPro experts, we have compiled a list of interview questions on big data based on several job roles, including big data tester, big data developer, big data architect, and big data engineer. What is a UDF?

Big Data 52

Big Data Hadoop AWS Relational Database 52

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