Knowledge Hut

APRIL 26, 2024

In the age of big data processing, how to store these terabytes of data surfed over the internet was the key concern of companies until 2010. Now that the issue of storage of big data has been solved successfully by Hadoop and various other frameworks, the concern has shifted to processing these data.

Data Science 52

Data Science Machine Learning Hadoop Algorithm 52

ProjectPro

APRIL 17, 2015

Big data technologies and practices are gaining traction and moving at a fast pace with novel innovations happening in this space. Big data companies are closely watching the latest trends in big data analytics to gain competitive advantage with the use of data. .”– said Arthur C.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

ProjectPro

MAY 23, 2015

It takes in approximately $36 million dollars from across 4300 US stores everyday.This article details into Walmart Big Data Analytical culture to understand how big data analytics is leveraged to improve Customer Emotional Intelligence Quotient and Employee Intelligence Quotient. How Walmart is tracking its customers?

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

MARCH 29, 2016

Cracking a Hadoop Admin Interview becomes a tedious job if you do not spend enough time preparing for it.This article lists top Hadoop Admin Interview Questions and Answers which are likely to be asked when being interviewed for Hadoop Adminstration jobs. Table of Contents How to prepare for a Hadoop Admin Interview?

Hadoop 40

Hadoop Big Data Portfolio Utilities 40

ProjectPro

JANUARY 19, 2022

Independently create data-driven solutions that are accurate and informative. Interact with the data scientists team and assist them in providing suitable datasets for analysis. Leverage various big data engineering tools and cloud service providing platforms to create data extractions and storage pipelines.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Knowledge Hut

NOVEMBER 7, 2023

The applications of cloud computing in businesses of all sizes, types, and industries for a wide range of applications, including data backup, email, disaster recovery, virtual desktops big data analytics, software development and testing, and customer-facing web apps. Knowledge of database query languages is required for this.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

ProjectPro

JULY 22, 2016

The desire to save every bit and byte of data for future use, to make data-driven decisions is the key to staying ahead in the competitive world of business operations. All this is possible due to the low cost storage systems like Hadoop and Amazon S3.

Data Lake 40

Data Lake Data Warehouse Hadoop Unstructured Data 40

ProjectPro

AUGUST 31, 2018

For big data, EBS storage is incredibly fast. Big data poses challenges for standard storage, demanding the use of premium storage. For big data, much more advanced cloud infrastructure is required. Although Azure's services are less developed for big data, they are improving.

AWS 45

AWS Cloud Amazon Web Services Cloud Computing 45

Rockset

JANUARY 19, 2021

Rockset also helps manage your indexes and data shards automatically. Elasticsearch doesn’t have this benefit, as it was created in 2010—during the data center era, before infrastructure was as cloud-focused as it is today. Many of the benefits Rockset offers come from a cloud-native architecture approach.

Management 40

Management Datasets Architecture Database 40

AltexSoft

SEPTEMBER 21, 2023

In this edition of “The Good and The Bad” series, we’ll dig deep into Elasticsearch — breaking down its functionalities, advantages, and limitations to help you decide if it’s the right tool for your data-driven aspirations. What is Elasticsearch? It is developed in Java and built upon the highly reputable Apache Lucene library.

Engineering 52

Engineering NoSQL Programming Language Java 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Who needs a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

ProjectPro

AUGUST 6, 2015

Let’s take a look at how Amazon uses Big Data- Amazon has approximately 1 million hadoop clusters to support their risk management, affiliate network, website updates, machine learning systems and more. Amazon is collecting intelligence and valuable pricing information (big data) from its competitors.

Big Data 52

Big Data Hadoop Insurance Media 52

ProjectPro

JUNE 4, 2015

All the components of the Hadoop ecosystem, as explicit entities are evident. All the components of the Hadoop ecosystem, as explicit entities are evident. The holistic view of Hadoop architecture gives prominence to Hadoop common, Hadoop YARN, Hadoop Distributed File Systems (HDFS ) and Hadoop MapReduce of the Hadoop Ecosystem.

Hadoop 52

Hadoop Architecture IT Java 52

U-Next

AUGUST 3, 2022

Data Scientists are no less than sultans of big data. Their roles and responsibilities include gathering, analysing, and interpreting data. Read on to know more about Data Scientists’ required skills, etc. An Introduction to A Data Scientist’s Roles and Responsibilities. Conclusion.

Data Science 52

Data Science Retail Computer Science Entertainment 52

ProjectPro

MARCH 14, 2014

The next decade of industries will be using Big Data to solve the unsolved data problems in the physical world. Big Data analysis will be about building systems around the data that is generated. Studies show, that by 2020, 80% of all Fortune 500 companies will have adopted Hadoop.

Hadoop 40

Hadoop Big Data Data Mining Retail 40