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

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

APRIL 20, 2023

Cloud tool understanding in Apache Spark, AWS , Hadoop , Google Cloud, Microsoft Aure, etc. Cybersecurity vs Data Science: Career Data science vs cybersecurity careers, well, both provide good employment options. All businesses, including banking, healthcare, retail, and government, are in need of cybersecurity experts.

Data Science 52

Data Science Computer Science Healthcare Recruitment 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. Projects based on cloud computing have applications in entertainment, education, healthcare, retail, banking, marketing, and other industrial and business domains.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

MAY 16, 2021

Senior Data Analyst Salary in the US According to Payscale, a senior data analyst reported an average salary of around $73,739 per year, ranging from $49k to $108k. When choosing an industry to specialize in as a data analyst, it is essential to decide on one that is right based on your strengths and interests.

Portfolio 40

Portfolio Healthcare Data Analytics SQL 40

ProjectPro

FEBRUARY 24, 2016

If you do a quick google search for “data science jobs” or “data scientist jobs”, you will come across data scientist job opportunities in every industry. There is a need for data scientists across all industries. Today, data scientists are useful in almost every industry.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

Knowledge Hut

DECEMBER 26, 2023

Most of the Data engineers working in the field enroll themselves in several other training programs to learn an outside skill, such as Hadoop or Big Data querying, alongside their Master's degree and PhDs. Hadoop Platform Hadoop is an open-source software library created by the Apache Software Foundation.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

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. The Rossmann Stores dataset is one of the most popular datasets used by Data Science beginners.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

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. Understanding of Big Data technologies such as Hadoop, Spark, and Kafka.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

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. Data Variety Hadoop stores structured, semi-structured and unstructured data.

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. Topics - These are logical demarcations that specify the kinds of data coming in from the producer. It distinguishes data on semantics.

Kafka 52

Kafka Big Data Java Architecture 52