Knowledge Hut

MARCH 13, 2024

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. Here are a few job roles suitable for a big data engineer: 1.Data

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.

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Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

DECEMBER 26, 2023

As Data Science is an intersection of fields like Mathematics and Statistics, Computer Science, and Business, every role would require some level of experience and skills in each of these areas. Certain roles like Data Scientists require a good knowledge of coding compared to other roles.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

DECEMBER 21, 2023

The primary process comprises gathering data from multiple sources, storing it in a database to handle vast quantities of information, cleaning it for further use and presenting it in a comprehensible manner. Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language).

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 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

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

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. Pathway 2: How to Become a Certified Data Engineer?

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Data Engineering Data Engineer Engineering Non-relational Database 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.

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Data Analytics Data Architect Transportation Data Science 52

Knowledge Hut

OCTOBER 8, 2023

If you want to build a career in data technologies, then the AWS platform is right for you. One of the best ways to do so is with certifications. So, if the question in your mind is how to become AWS data engineer, you’re in the right place. Here, we’ll answer that and many other AWS data engineer roadmap questions.

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AWS Data Engineering Data Engineer Engineering 52

Knowledge Hut

APRIL 20, 2023

Data science is a practice that involves extracting valuable insights and information from vast amounts of unorganized data. This is achieved through the application of advanced techniques, which require proficiency in domain knowledge, basic programming skills (such as Python, R, and Java), and understanding of mathematical concepts.

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Data Science Computer Science Healthcare Recruitment 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.

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Machine Learning Engineering Algorithm Programming Language 105

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

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.

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ETL Tools Data Cleanse Data Warehouse Big Data 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.

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Big Data Certification Hadoop Big Data Skills 40

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.

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Consulting Architecture Programming Language SQL 52

ProjectPro

JUNE 29, 2016

“I already have a job, so I don’t need to learn a new programming language.” Assume that you are a Java Developer and suddenly your company hops to join the big data bandwagon and requires professionals with Java+Hadoop experience.

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Hadoop Big Data Banking Consulting 40