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

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

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

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.

Data Science 52

Data Science Computer Science Healthcare Recruitment 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

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. Some organizations may ask you to work with Java.

AWS 52

AWS Data Engineering Data Engineer Engineering 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

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

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. Amongst all the options, Python is the go-to language for machine learning.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 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.

Consulting 52

Consulting Architecture Programming Language SQL 52

ProjectPro

SEPTEMBER 26, 2021

Data structures, data modeling, and programming skills, for instance, are usually essential to work well as a Big Data Engineer. Big Data Engineering professionals with advanced or expert-level knowledge in Java get an annual average salary of $102,171.

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

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

ProjectPro

FEBRUARY 24, 2016

Still, the job role of a data scientist has now also filtered down to non-tech companies like GAP, Nike, Neiman Marcus, Clorox, and Walmart. These companies are looking to hire the brightest professionals with expertise in Math, Statistics, SQL, Hadoop, Java, Python, and R skills for their own data science teams.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

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

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

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.

Hadoop 40

Hadoop Big Data Banking Consulting 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

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. R programming language is used extensively to gather business intelligence from big data.

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

JANUARY 31, 2023

The MapReduce program works in two different phases: Map and Reduce. Map tasks deal with mapping and data splitting, whereas Reduce tasks shuffle and reduce data. Hadoop can execute MapReduce applications in various languages, including Java, Ruby, Python, and C++. Explain the data preparation process.

Big Data 52

Big Data Hadoop AWS Relational Database 52

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. Java library for fetching and caching schemas. REST APIs define the HTTP methods that are used and the request and response payloads that are expected.

Kafka 110

Kafka Insurance Architecture Database 110