Knowledge Hut

JANUARY 18, 2024

Data science is a multidisciplinary field that combines computer programming, statistics, and business knowledge to solve problems and make decisions based on data rather than intuition or gut instinct. If you are confident about handling these, you can complete the data science training with a little effort.

Data Science 52

Data Science Computer Science Programming Language NoSQL 52

U-Next

AUGUST 8, 2022

A multidisciplinary area called Data Science makes it possible to draw information from organised and unorganised data. Introduction – What is Data Science? The development of large data, data processing, and quantitative statistics has given rise to the phrase “computer sciences.”

Data Science 52

Data Science Computer Science Deep Learning Java 52

Knowledge Hut

JUNE 23, 2023

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. Let us understand here the complete big data engineer roadmap to lead a successful Data Engineering Learning Path.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

MARCH 28, 2024

Data science has become one of the most trending fields today. Data engineering is one of them. According to AnalytixLabs , the data science market is expected to be worth USD 230.80 This demonstrates the increasing need for Microsoft Certified Data Engineers.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

FEBRUARY 27, 2023

A data engineer is a key member of an enterprise data analytics team and is responsible for handling, leading, optimizing, evaluating, and monitoring the acquisition, storage, and distribution of data across the enterprise. Data Engineers indulge in the whole data process, from data management to analysis.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Knowledge Hut

APRIL 20, 2023

To combat these dirty challenges thrown by hackers, the field of data science has emerged as a powerful player in the battleground against cybercrimes. So put on your cyber shades and get ready to dive into the exciting world of Cyber security vs Data science. What is Data Science? What is Cyber Security?

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

Knowledge Hut

FEBRUARY 16, 2023

Demand for data engineers is at a peak today globally due to the massive amount of data that companies accumulate and work with this data to draw actionable insights and make better business decisions. To do that, the generated data must be interpreted to be understood by the end user. What Does a Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Healthcare 52

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer is one of the most popular job profiles in the data industry. This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2 What does a big data engineer do?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JULY 3, 2017

News on Hadoop - June 2017 Hadoop Servers Expose Over 5 Petabytes of Data. According to John Matherly, the founder of Shodan, a search engine used for discovering IoT devices found that Hadoop installed improperly configured HDFS based servers exposed over 5 PB of information. PB of data.

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Hadoop Food MongoDB Retail 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

DECEMBER 21, 2021

Explore Machine Learning Careers at Different Organizations Evolution of Machine Learning Applications in Finance : From Theory to Practice Here’s Your Ideal Machine Learning Engineer Career Path There are a few prerequisites you should focus on when you start your machine learning career path.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

ProjectPro

JUNE 29, 2016

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. From this, it is evident that the global hadoop job market is on an exponential rise with many professionals eager to tap their learning skills on Hadoop technology.

Hadoop 40

Hadoop Big Data Banking Consulting 40

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is Data Science?

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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

Knowledge Hut

DECEMBER 21, 2023

Data Science is the world's most rapidly growing sector and data engineers are at the forefront. In this article, we will understand the promising data engineer career outlook and what it takes to succeed in this role. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

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

MAY 16, 2021

Most popular job portals like Dice.com, Indeed.com, Glassdoor.com, and LinkedIn have consistently listed entry-level and senior data analyst jobs with high salaries and strong job growth for data analysts , the real troopers of data science. The following image shows each of their annual pay scales.

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Portfolio Healthcare Data Analytics SQL 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. Google App Engine and Microsoft Windows Azure are the popularly used PaaS solutions. Amazon EC2 and Google Compute Engine are notable examples of IaaS cloud.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

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

Knowledge Hut

SEPTEMBER 26, 2023

These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets. Responsive Data Engine: At the heart of Azure Synapse lies a powerful data processing engine.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 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

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

DataKitchen

APRIL 13, 2021

Airflow — An open-source platform to programmatically author, schedule, and monitor data pipelines. Apache Oozie — An open-source workflow scheduler system to manage Apache Hadoop jobs. DBT (Data Build Tool) — A command-line tool that enables data analysts and engineers to transform data in their warehouse more effectively.

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Consulting Machine Learning Data Science Data Pipeline 120

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

AltexSoft

MAY 12, 2023

Without a fixed schema, the data can vary in structure and organization. File systems, data lakes, and Big Data processing frameworks like Hadoop and Spark are often utilized for managing and analyzing unstructured data. There are several widely used unstructured data storage solutions such as data lakes (e.g.,

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

AltexSoft

MARCH 14, 2023

A Modern Data Stack (MDS) is a collection of tools and technologies used to gather, store, process, and analyze data in a scalable, efficient, and cost-effective way. Software engineers use a technology stack — a combination of programming languages, frameworks, libraries, etc. — Data democratization.

IT 59

IT Data Warehouse Data Governance Data Lake 59