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

MARCH 7, 2016

Whether you are a data scientist, Hadoop developer , data architect, data analyst or an individual aspiring for a career in analytics, you will find this list helpful. Learn Hadoop to become a Microsoft Certified Big Data Engineer. Get IBM Big Data Certification in Hadoop and Spark Now! that organizations urgently need.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

ProjectPro

FEBRUARY 19, 2016

Top 7 Big Data Conferences in 2016 1) Strata + Hadoop World 2) Enterprise Data World 3) Data Science Conference 4) Data Summit 5) useR 6) International Conference on Data Mining, Internet Computing, and Big Data (BigData2016) 7) IEEE Big Data Why you should attend a Big Data Conference?

Big Data 40

Big Data Data Mining Hadoop R (Programming) 40

Knowledge Hut

JANUARY 24, 2024

Data connectors: Numerous data connections are supported by Tableau, including those for Dropbox, SQL Server, Salesforce, Google Sheets, Presto, Hadoop, Amazon Athena, and Cloudera. Programming Support for Power BI and Tableau Power BI supports Data Analysis Expression and the M language for data manipulation and modeling.

BI 98

BI Business Intelligence Non-relational Database Machine Learning 98

Knowledge Hut

OCTOBER 5, 2023

Besides AWS, you can also add Hadoop or Spark certifications to your merits. Data structures, data modeling, and programming skills are essential. However, if you have advanced or expert-level skills in Java, R programming language, Machine Learning, Hadoop, Spark, and other Big Data Frameworks, your salary will increase accordingly.

Big Data 52

Big Data AWS Certification Amazon Web Services 52

ProjectPro

JULY 8, 2015

World needs better Data Scientists Big data is making waves in the market for quite some time, there are several big data companies that have invested in Hadoop, NoSQL and data warehouses for collecting and storing big data.With open source tools like Apache Hadoop, there are organizations that have invested in millions for storing big data.

Hadoop 40

Hadoop R (Programming) Big Data NoSQL 40

ProjectPro

SEPTEMBER 26, 2021

Knowledge and experience in Big Data frameworks, such as Hadoop , Apache Spark , etc., Similarly, professionals with a good understanding of the R programming language earn a median salary of $75,848. In terms of the Big Data frameworks, Apache Hadoop and Apache Spark are the two most popular big data tools.

Big Data 52

Big Data Data Engineer Data Engineering Engineering 52

Knowledge Hut

MAY 23, 2024

It is much faster than other analytic workload tools like Hadoop. Since this programming language helps develop mobile, desktop, and web applications along with data science capabilities - many prefer to learn this to leverage both data science and software development capabilities that this tool renders. Big Data Tools 23.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

ProjectPro

FEBRUARY 24, 2016

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. With an increase in SQL-on-Hadoop initiatives by various companies –SQL has become one of the most needed skills for data scientists.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

Knowledge Hut

JUNE 30, 2023

It covers popular technologies such as Apache Kafka, Apache Storm, and Apache Hadoop, giving users practical advice on developing and executing effective data pipelines. The authors effectively teach how to use R's capabilities for successful data analysis and visualization through practical examples and hands-on exercises.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

ProjectPro

DECEMBER 22, 2016

If you are aspiring to be a data analyst then the core competencies that you should be familiar with are distributed computing frameworks like Hadoop and Spark, knowledge of programming languages like Python, R , SAS, data munging, data visualization, math , statistics , and machine learning.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

Knowledge Hut

MAY 9, 2024

Skills Required Data architects must be proficient in programming languages such as Python, Java, and C++, Hadoop and NoSQL databases, predictive modeling, and data mining, and experience with data modeling tools like Visio and ERWin. Average Annual Salary of Data Architect On average, a data architect makes $165,583 annually.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

ProjectPro

NOVEMBER 30, 2021

You will learn how to use Exploratory Data Analysis (EDA) tools and implement different machine learning algorithms like Neural Networks, Support Vector Machines, and Random Forest in R programming language. Source Code: Hadoop Hive Project on Airline Dataset Analysis Hey, Hey! The blog hasn’t ended yet.

Business Analyst 52

Business Analyst Project Retail Datasets 52

Knowledge Hut

JANUARY 19, 2024

The syllabus should cover technologies such as Apache Hadoop and Spark, introducing concepts of distributed computing and parallel processing for effective big data management. Introduces technologies like Hadoop and Spark for distributed computing. Importance: Addresses challenges in handling large-scale datasets.

Data Science 52

Data Science Machine Learning Algorithm Datasets 52