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

MARCH 28, 2024

Education & Skills Required Proficiency in SQL, Python, or other programming languages. Experience with Azure data services like Azure SQL Database, Azure Data Factory, and Azure Databricks. Implement data ingestion, processing, and analysis pipelines for large-scale data sets.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 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

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. ETL activities are also the responsibility of data engineers.

Certification 52

Certification Data Engineering Data Engineer Engineering 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

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

ProjectPro

JUNE 29, 2016

“I already have a job, so I don’t need to learn a new programming language.” As open source technologies gain popularity at a rapid pace, professionals who can upgrade their skillset by learning fresh technologies like Hadoop, Spark, NoSQL, etc.

Hadoop 40

Hadoop Big Data Banking Consulting 40

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.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

DECEMBER 21, 2021

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. Even those with no prior programming experience/knowledge can quickly learn any of the languages mentioned above. in a Machine Learning Cloud Architect.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

ProjectPro

SEPTEMBER 26, 2021

Mid-Level Big Data Engineer Salary Big Data Software Engineer's Salary at the mid-level with three to six years of experience is between $79K-$103K. Knowledge and experience in Big Data frameworks, such as Hadoop , Apache Spark , etc., Data is the most significant element for any professional working in Data Science.

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 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

FEBRUARY 24, 2016

Whether it is preparing perfectly clean data for a model, writing reusable code, building a resilient data pipeline, building a reproducible machine learning pipeline , or revisiting high-performing systems- senior data scientists have it all. According to PayScale, the average senior data scientist salary is $128,225.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

Knowledge Hut

DECEMBER 21, 2023

Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language). For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. Knowledge of Hadoop, Spark, and Kafka.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

ProjectPro

AUGUST 11, 2016

When people talk about big data analytics and Hadoop, they think about using technologies like Pig, Hive , and Impala as the core tools for data analysis. R and Hadoop combined together prove to be an incomparable data crunching tool for some serious big data analytics for business.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

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

Apache Kafka is breaking barriers and eliminating the slow batch processing method that is used by Hadoop. Kafka was mainly developed to make working with Hadoop easier. True that it is eliminating the limitations of Hadoop – but it will not eliminate Hadoop itself. Table of Contents What makes Kafka popular?

Kafka 40

Kafka Systems Hadoop BI 40

ProjectPro

JANUARY 31, 2023

Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink, and Pig, to mention a few. How is Hadoop related to Big Data? Explain the difference between Hadoop and RDBMS. RDBMS is a part of system software used to create and manage databases based on the relational model.

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

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

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

AltexSoft

MARCH 14, 2023

Software engineers use a technology stack — a combination of programming languages, frameworks, libraries, etc. — A data stack, in turn, focuses on data : It helps businesses manage data and make the most out of it. An event refers to a modification or update in the system that prompts other systems to take action.

IT 59

IT Data Warehouse Data Governance Data Lake 59