Knowledge Hut

DECEMBER 29, 2023

The market for analytics is flourishing, as is the usage of the phrase Data Science. Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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

Databand.ai

DECEMBER 13, 2022

Follow Charles on LinkedIn 3) Deepak Goyal Azure Instructor at Microsoft Deepak is a certified big data and Azure Cloud Solution Architect with more than 13 years of experience in the IT industry. On LinkedIn, he focuses largely on Spark, Hadoop, big data, big data engineering, and data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

APRIL 27, 2015

Big data is the fuel driving most of the data driven businesses today by accelerating growth, informing strategy and improving the operational efficiency. Wikibon predict that the big data technology market will grow by 22% reaching $33.31 TB of compressed data on daily basis. TB of compressed data on daily basis.

Big Data 40

Big Data Retail Hadoop Unstructured Data 40

Knowledge Hut

DECEMBER 26, 2023

You can opt for the Big Data and Hadoop Certification online to learn and understand the concepts of Big Data and Big Data frameworks. What Is a Big Data Company? A big data company is a company that specializes in collecting and analyzing large data sets. The average salary for a job at Craft.co

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

ProjectPro

DECEMBER 7, 2016

HBase and Hive are two hadoop based big data technologies that serve different purposes. billion monthly active users on Facebook and the profile page loading at lightning fast speed, can you think of a single big data technology like Hadoop or Hive or HBase doing all this at the backend?

Technology 40

Technology NoSQL Hadoop Data Mining 40

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

DECEMBER 27, 2023

Many business owners and professionals are interested in harnessing the power locked in Big Data using Hadoop often pursue Big Data and Hadoop Training. What is Big Data? The more effectively a company is able to collect and handle big data the more rapidly it grows.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Edureka

FEBRUARY 9, 2023

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required. According to the 2020 U.S.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

ProjectPro

MAY 13, 2016

Hadoop is the most talked about innovation in the IT industry that has shaken the entire data centre infrastructure at many organizations. As the appetite for Hadoop and related big data technologies grows at an exponential rate, it is not out to spell the death of data warehousing.

Data Warehouse 40

Data Warehouse Hadoop Unstructured Data Big Data 40

ProjectPro

NOVEMBER 5, 2014

Hadoop is the way to go for organizations that do not want to add load to their primary storage system and want to write distributed jobs that perform well. MongoDB NoSQL database is used in the big data stack for storing and retrieving one item at a time from large datasets whereas Hadoop is used for processing these large data sets.

MongoDB 40

MongoDB Hadoop NoSQL Big Data 40

Data Engineering Podcast

FEBRUARY 24, 2019

Summary Deep learning is the latest class of technology that is gaining widespread interest. As data engineers we are responsible for building and managing the platforms that power these models. As data engineers we are responsible for building and managing the platforms that power these models.

Deep Learning 100

Deep Learning Data Engineering Data Engineer Engineering 100

ProjectPro

JANUARY 19, 2022

As a result, the role of data engineer has become increasingly important in the technology industry. Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments. Data engineers will be in high demand as long as there is data to process. According to the 2020 U.S.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

MAY 23, 2015

Table of Contents How Walmart uses Big Data? 2014 Kaggle Competition Walmart Recruiting – Predicting Store Sales using Historical Data Description of Walmart Dataset for Predicting Store Sales What kind of big data and hadoop projects you can work with using Walmart Dataset? How Walmart is tracking its customers?

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

MARCH 16, 2015

This data was mostly generated by various regulatory requirements, record keeping, compliance and patient care. Since then, there has been an exponential increase in data which has lead to an expenditure of $1.2 trillion towards healthcare data solutions in the Healthcare industry. We leave no data behind.”

Healthcare 40

Healthcare Big Data Project Hospitality 40

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

ProjectPro

FEBRUARY 8, 2017

.” said the McKinsey Global Institute (MGI) in its executive overview of last month's report: "The Age of Analytics: Competing in a Data-Driven World." 2016 was an exciting year for big data with organizations developing real-world solutions with big data analytics making a major impact on their bottom line.

Big Data 40

Big Data Hadoop Data Lake Data Governance 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.

Consulting 123

Consulting Machine Learning Data Science Data Pipeline 123

ProjectPro

JULY 30, 2021

Companies need engineers that can help them transition over to Cloud Computing or senior engineers who can maintain and innovate on the already established Cloud Computing technology. Building data storage and computing architecture locally were getting more expensive during the advent of Big Data technologies.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

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

MARCH 14, 2014

Every department of an organization including marketing, finance and HR are now getting direct access to their own data. This is creating a huge job opportunity and there is an urgent requirement for the professionals to master Big Data Hadoop skills. In 2015, big data has evolved beyond the hype.

Hadoop 40

Hadoop Big Data Data Mining Retail 40

Knowledge Hut

DECEMBER 13, 2023

Additionally, operations managers, call center agents, sales reps, and other frontline personnel can receive real-time information and alerts about issues via applications powered by big data. Big data analytics is carried out with the use of advanced tools. It is an important big data technologies company.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52