Knowledge Hut

JUNE 20, 2023

Skills A data engineer should have good programming and analytical skills with big data knowledge. A machine learning engineer should know deep learning, scaling on the cloud, working with APIs, etc. Examples Pull daily tweets from the data warehouse hive spreading in multiple clusters.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

ProjectPro

AUGUST 24, 2021

So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Big Data Tools: Without learning about popular big data tools, it is almost impossible to complete any task in data engineering. Ability to adapt to new big data tools and technologies.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

FEBRUARY 5, 2022

Explore More Data Science and Machine Learning Projects for Practice. This project will guide you on building deep learning models in Python using the Keras framework. You will learn how to create the dataset matrix to implement the LSTM model and analyze its predictions by creating various plots.

Deep Learning 52

Deep Learning Datasets Python Machine Learning 52

Knowledge Hut

MAY 23, 2024

Scikit Learn has huge community support & anyone can contribute to its development and enhancement. TensorFlow: It is the most widely accepted data science tool and is popular because of its Machine Learning (ML) and Deep Learning (DL) libraries. Big Data Tools 23.

Data Science 52

Data Science MongoDB Programming Language Hadoop 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.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

OCTOBER 5, 2018

(Source - [link] ) Master Hadoop Skills by working on interesting Hadoop Projects LinkedIn open-sources a tool to run TensorFlow on Hadoop.Infoworld.com, September 13, 2018. is looking to churn more data in place and share BI analytics of the data within and outside the organization.To

Hadoop 40

Hadoop BI Big Data MongoDB 40

ProjectPro

JANUARY 2, 2018

The main objective of Impala is to provide SQL-like interactivity to big data analytics just like other big data tools - Hive, Spark SQL, Drill, HAWQ , Presto and others. might take some time for all the tooling to settle in an enterprise setting and become compatible with Hadoop 3.0. With Hadoop 3.0

Hadoop 52

Hadoop Big Data Machine Learning Datasets 52

AltexSoft

JUNE 26, 2023

It requires a lot of storage space and advanced, compute-intensive machine learning techniques like natural language processing (NLP) or image recognition for processing. Read our articles on structured vs unstructured data and unstructured data to learn more. No wonder only 0.5

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Databand.ai

DECEMBER 13, 2022

In fact, he has experience in almost all aspects of the data life cycle, from dashboards, analytics, and statistical tests to setting up servers, building machine learning pipelines, and data warehouses. Furthermore, he is experienced in most types of datasets having built deep learning models in NLP, CV, and RL tasks.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

JANUARY 25, 2022

PySparkSQL introduced the DataFrame, a tabular representation of structured data that looks like a table in a relational database management system. PySpark SQL supports a variety of data sources, allowing SQL queries to be combined with code modifications, resulting in a powerful big data tool.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

AUGUST 21, 2015

3) Based on the answer to question no 1, the candidate can ask the interviewer why the hadoop infrastructure is configured in that particular way, why the company chose to use the selected big data tools and how workloads are constructed in the hadoop environment. 9) Which file format is better Parquet or ORC?

Hadoop 40

Hadoop Big Data Metadata Java 40

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. You shall look to expand your skills to become a Big Data Engineer.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

OCTOBER 30, 2023

It is the ideal moment to begin working on your big data project if you are a big data student in your final year. Current suggestions for your next big data project are provided in this article.

Big Data 52

Big Data Coding Project Medical 52

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

APRIL 20, 2017

Access the solution to The Complete Guide to Start Mining Bitcoin in AWS cloud 9) Hadoop Project: Analysing Airlines Dataset As Artificial Intelligence (AI) tools like Machine Learning, Deep Learning, etc. You will be introduced to exciting Big Data Tools like AWS, Kafka, NiFi, HDFS, PySpark, and Tableau.

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

FEBRUARY 24, 2016

A data scientist must have in-depth knowledge of technologies used to tame big data and should always be willing to learn the merging ones. It is known that machine learning ( deep learning , NLP , clustering techniques), python programming , and statistics are the must-have skills for data scientists in 2023.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

ProjectPro

APRIL 1, 2017

Just like Hadoop is not designed for the cloud, it is not meant for doing matrix math that deep learning requires. Source : [link] ) Big Data Tool For Trump’s Big Government Immigration Plans. According to Forrester , Hadoop has a strong future and will witness strong growth in the next 2 to 3 years.

Hadoop 40

Hadoop Data Lake Electronics Big Data 40