AltexSoft

FEBRUARY 11, 2023

Bad data management be like, Source: Makeameme Data architects are sometimes confused with other roles inside the data science team. What is the main difference between a data architect and a data engineer? By the way, we have a video dedicated to the data engineering working principles.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

JULY 4, 2023

Among the highest-paying roles in this field are Data Architects, Data Scientists, Database Administrators, and Data Engineers. A Data Architect can earn up to 1,30,000, while a Data Scientist can expect a salary range of $90,000-$1,30,000 per year. What is Data Analytics? Read on to learn more.

Data Analytics 52

Data Analytics Data Architect Transportation Data Science 52

Knowledge Hut

SEPTEMBER 6, 2023

Problem-Solving Abilities: Many certification courses provide projects and assessments which require hands-on practice of big data tools which enhances your problem solving capabilities. Networking Opportunities: While pursuing big data certification course you are likely to interact with trainers and other data professionals.

Big Data 52

Big Data Certification Hadoop Scala 52

Netflix Tech

SEPTEMBER 18, 2020

and what the role entails by Julie Beckley & Chris Pham This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie Beckley. What was your path to working in data?

Data Science 89

Data Science Food Consulting Algorithm 89

ProjectPro

FEBRUARY 16, 2023

High-Performance Spark: Best Practices for Scaling and Optimizing Apache Spark by Holden Karau, Rachel Warren This book is a comprehensive guide for experienced Spark developers and data engineers to optimize Spark applications. The book also covers additional big data tools such as Hive, HBase, and Hadoop for a better understanding.

Big Data 52

Big Data Scala Machine Learning Hadoop 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. A Master's or Ph.D.

Hadoop 52

Hadoop Programming Language Banking Scala 52

Knowledge Hut

MAY 23, 2024

Data science has become the fastest-growing field and a buzzword that every industry knows and leverages. This vast stream of interdisciplinary domains deals with data in different ways. It helps companies understand data and obtain meaningful insights from it. Each of these tools comes with a set of some of these usages.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

Data Science Blog: Data Engineering

JULY 4, 2022

Already familiar with the term big data, right? Despite the fact that we would all discuss Big Data, it takes a very long time before you confront it in your career. Apache Spark is a Big Data tool that aims to handle large datasets in a parallel and distributed manner.

Hadoop 52

Hadoop Big Data Datasets Scala 52

ProjectPro

JANUARY 24, 2023

It is a popular ETL tool well-suited for big data environments and extensively used by data engineers today to build and maintain data pipelines with minimal effort. Glue automatically creates Scala or Python code for your ETL tasks, which you can modify using tools you are already comfortable with.

AWS 52

AWS Data Lake ETL Tools Scala 52

Knowledge Hut

SEPTEMBER 25, 2023

Languages : Prior to obtaining a related certificate, it's crucial to have at least a basic understanding of SQL since it is the most often used language in data analytics. Python is useful for various data analytics positions. According to recent assessments, 90% of all big data has been produced in the last two years.

Certification 52

Certification Business Analyst Big Data Data Analysis 52

ProjectPro

DECEMBER 7, 2021

This process enables quick data analysis and consistent data quality, crucial for generating quality insights through data analytics or building machine learning models. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects What is an ETL Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 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.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

ProjectPro

SEPTEMBER 26, 2021

According to a survey, big data engineering job interviews increased by 40% in 2020 compared to only a 10% rise in Data science job interviews. Table of Contents Big Data Engineer - The Market Demand Who is a Big Data Engineer? Most of these are performed by Data Engineers.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 30, 2016

TCS partners with four colleges to offer courses in Big Data. Economic Times Academy for data science to be launched. TimesofIndia Infosys invests USD 4 Million in Waterline Data Science. India has the second highest demand for big data , data science and analytics professionals, US being the first.

Hadoop 40

Hadoop Big Data Skills Recruitment NoSQL 40

ProjectPro

FEBRUARY 24, 2016

Do data scientists make a lot of money? This blog breaks down the data science salary figures for today’s data workforce based on which company they work for, years of experience, specialization of data science tools and technologies, location, and other factors.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

ProjectPro

AUGUST 24, 2021

Nevertheless, that is not the only job in the data world. Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Edureka

FEBRUARY 9, 2023

The role of Azure Data Engineer is in high demand in the field of data management and analytics. As an Azure Data Engineer, you will be in charge of designing, building, deploying, and maintaining data-driven solutions that meet your organization’s business needs. Who is an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

ProjectPro

AUGUST 18, 2016

There are no strict pre-requisites to taking up the Cloudera Hadoop Certification but candidates must know how to code in Python and Scala, must have the skills to transfer data between internal and external systems. They also need to know how to convert data values and use DDL for data analysis.

Hadoop 40

Hadoop Certification Big Data Scala 40

ProjectPro

JANUARY 19, 2022

Planning to land a successful job as an Azure Data Engineer? Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

MARCH 5, 2024

Data engineers are highly in demand and short in supply. Data engineering is one of the hottest jobs that is trending across the globe. Singapore has a thriving technical market that has been on the lookout for data engineers. Who is Data Engineer and What Do They Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Education 52

ProjectPro

APRIL 20, 2017

Data Analyst Responsibilities-What does a data analyst do? 15 NLP Projects Ideas for Beginners With Source Code for 2021 15+ Data Engineering Projects for Beginners with Source Code How to Become a Big Data Engineer in 2021 Big Data Engineer Salary - How Much Can You Make in 2021?

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

FEBRUARY 8, 2023

In fact, 95% of organizations acknowledge the need to manage unstructured raw data since it is challenging and expensive to manage and analyze, which makes it a major concern for most businesses. In 2023, more than 5140 businesses worldwide have started using AWS Glue as a big data tool. How Does AWS Glue Work?

AWS 98

AWS Scala Metadata Data Lake 98

ProjectPro

NOVEMBER 22, 2021

According to the Businesswire report , the worldwide big data as a service market is estimated to grow at a CAGR of 36.9% This clearly indicates that the need for Big Data Engineers and Specialists would surge in the future years. Apart from this, Runtastic also relies upon PySpark for their Big Data sanity checks.

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

JANUARY 31, 2023

The end of a data block points to the location of the next chunk of data blocks. DataNodes store data blocks, whereas NameNodes store these data blocks. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples. Steps for Data preparation.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

JUNE 24, 2021

Table of Contents Skills Required for Data Analytics Jobs Why Should Students Work on Big Data Analytics Projects ? Students need not necessarily have a computer science or a math background to land a top big data job role. Even data that has to be filtered, will have to be stored in an updated location.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

JANUARY 27, 2023

Whether determining which charts to use, how to build a data story, or how to tidy a graph, the book's blend of theory and practice makes it an excellent resource for novice and experienced data visualization practitioners. Instead, the book delivers attractive and engaging work while adhering to data-driven best practices.

Entertainment 52

Entertainment Big Data Python Computer Science 52