ProjectPro

AUGUST 21, 2015

With the help of ProjectPro’s Hadoop Instructors, we have put together a detailed list of big data Hadoop interview questions based on the different components of the Hadoop Ecosystem such as MapReduce, Hive, HBase, Pig, YARN, Flume, Sqoop , HDFS, etc. What is the difference between Hadoop and Traditional RDBMS?

Hadoop 40

Hadoop Big Data Metadata Java 40

Knowledge Hut

FEBRUARY 2, 2024

While artificial intelligence is a broad domain, various subdomains like deep learning and artificial neural networks have abundant opportunities shortly. Amazon Web Services (AWS) Databases such as MYSQL and Hadoop Programming languages, Linux web servers and APIs Application programming and Data security Networking.

Programming Language 98

Programming Language Amazon Web Services Java Cloud Computing 98

U-Next

SEPTEMBER 7, 2022

Autonomous data warehouse from Oracle. . What is Data Lake? . Essentially, a data lake is a repository of raw data from disparate sources. A data lake stores current and historical data similar to a data warehouse. Data Lake Vs. Data Warehouse: Latest Industry Stats .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

AltexSoft

DECEMBER 15, 2021

feature engineering or feature extraction when useful properties are drawn from raw data and transformed into a desired form, and. Neural architecture search or NAS is a subset of hyperparameter tuning related to deep learning, which is based on neural networks. feature selection when irrelevant attributes are discarded.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

ProjectPro

JUNE 9, 2021

Data Science- Definition Data Science is an interdisciplinary branch encompassing data engineering and many other fields. Data Science involves applying statistical techniques to raw data, just like data analysts, with the additional goal of building business solutions. Machine learning skills.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Science 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

Edureka

AUGUST 2, 2023

Data scientists can use SQL to write queries that get particular subsets of data, join various tables, perform aggregations, and use sophisticated filtering methods. Data scientists can also organize unstructured raw data using SQL so that it can be analyzed with statistical and machine learning methods.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 52

ProjectPro

SEPTEMBER 26, 2021

As a Big Data Engineer, you shall also know and understand the Big Data architecture and Big Data tools. Hadoop , Kafka , and Spark are the most popular big data tools used in the industry today. Prior learning and knowledge of these tools will distinguish you from the rest of the candidates.

Big Data 52

Big Data Data Engineer Data Engineering Engineering 52

Knowledge Hut

JUNE 20, 2023

Factors Data Engineer Machine Learning Definition Data engineers create, maintain, and optimize data infrastructure for data. In addition, they are responsible for developing pipelines that turn raw data into formats that data consumers can use easily.

Machine Learning 52

Machine Learning Data Engineer Data Engineering Engineering 52

Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies. Stay updated on data science advancements.

Data Science 40

Data Science Deep Learning Machine Learning NoSQL 40

Knowledge Hut

JANUARY 19, 2024

Machine Learning Unpacking the process of making human language understandable to machines, including topics like regression analysis, Naive Bayes Algorithm, and more. Business Intelligence Transforming raw data into actionable insights for informed business decisions. Implementing machine learning magic.

Data Science 52

Data Science Machine Learning Algorithm Certification 52

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64

Scala Data Lake Machine Learning BI 64

ProjectPro

JULY 12, 2021

We will now describe the difference between these three different career titles, so you get a better understanding of them: Data Engineer A data engineer is a person who builds architecture for data storage. They can store large amounts of data in data processing systems and convert raw data into a usable format.

Engineering 40

Engineering Deep Learning Software Engineer Software Engineering 40

ProjectPro

DECEMBER 22, 2016

As data analysts salaries continue to rise with the entry-level data analyst earning an average of $50,000-$75,000 and experienced data analyst salary ranging from $65,000-$110,000, many IT professionals are embarking on a career as a Data analyst. How to save and reload a deep learning model in Pytorch?

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

Sync Computing

NOVEMBER 7, 2024

Mobile devices, cloud computing, and the internet of things have significantly accelerated growth in data volume and velocity in recent years. The growing role of big data and associated technologies, like Hadoop and Spark, have nudged the industry away from its legacy origins and toward cloud data warehousing.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Unstructured Data 52

ProjectPro

AUGUST 24, 2021

Within no time, most of them are either data scientists already or have set a clear goal to become one. Nevertheless, that is not the only job in the data world. And, out of these professions, this blog will discuss the data engineering job role. Understand the importance of Qubole in powering up Hadoop and Notebooks.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

AltexSoft

JUNE 26, 2023

Data collection revolves around gathering raw data from various sources, with the objective of using it for analysis and decision-making. It includes manual data entries, online surveys, extracting information from documents and databases, capturing signals from sensors, and more.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

OCTOBER 27, 2021

Detecting fraudulent transactions using traditional rule-based methods is time-consuming and mostly inaccurate as processing data is vast. Ace your Big Data engineer interview by working on unique end-to-end solved Big Data Projects using Hadoop Download the dataset from here.

Finance 52

Finance Machine Learning Project Banking 52

ProjectPro

JANUARY 31, 2022

Snowflake provides data warehousing, processing, and analytical solutions that are significantly quicker, simpler to use, and more adaptable than traditional systems. Snowflake is not based on existing database systems or big data software platforms like Hadoop.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. To build a big data project, you should always adhere to a clearly defined workflow.

Big Data 52

Big Data Coding Project Hadoop 52

U-Next

AUGUST 3, 2022

The Big Data age in the data domain has begun as businesses cope with petabyte and exabyte-sized amounts of data. Up until 2010, it was extremely difficult for companies to store data. Now that well-known technologies like Hadoop and others have resolved the storage issue, the emphasis is on information processing.

Data Science 52

Data Science Retail Computer Science Data Mining 52

ProjectPro

NOVEMBER 30, 2021

The crux of all data-driven solutions or business decision-making lies in how well the respective businesses collect, transform, and store data. When working on real-time business problems, data scientists build models using various Machine Learning or Deep Learning algorithms.

Process 52

Process Data Warehouse Data Pipeline AWS 52