Knowledge Hut

MAY 23, 2024

All the different processes that data science uses for analyzing & extracting insight from data require appropriate tools. A data science professional, data analyst, data engineer, and data scientist need to have high proficiency in these tools to excel in the data science career.

Data Science 52

Data Science MongoDB Programming Language Unstructured Data 52

Knowledge Hut

DECEMBER 13, 2023

Big Data startups compete for market share with the blue-chip giants that dominate the business intelligence software market. This article will discuss the top big data consulting companies , big data marketing companies , big data management companies and the biggest data analytics companies in the world.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52

U-Next

AUGUST 25, 2022

An open-spurce NoSQL database management program, MongoDB architecture, is used as an alternative to traditional RDMS. MongoDB is built to fulfil the needs of modern apps, with a technical base that allows you through: The document data model demonstrates the most effective approach to work with data. Introduction. Conclusion.

MongoDB 40

MongoDB Architecture NoSQL MySQL 40

Knowledge Hut

DECEMBER 26, 2023

According to the Cybercrime Magazine, the global data storage is projected to be 200+ zettabytes (1 zettabyte = 10 12 gigabytes) by 2025, including the data stored on the cloud, personal devices, and public and private IT infrastructures. The dataset can be either structured or unstructured or both.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

DECEMBER 26, 2023

What is Data Science? What are the roles and responsibilities of a Data Engineer? How does one become a Data engineer, and what skills are required? Our primary focus in this article will be to answer all these questions and take you a step forward towards your dream of becoming a Data engineer. And many more.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Ascend.io

NOVEMBER 21, 2023

Yet, looking into the complexities of today’s data-driven world, it becomes clear that ELT, while transformative at its inception, now forms just a part of an ever-evolving data landscape. This article revisits the foundational elements of ELT, exploring what it is, how it reshaped data strategies, and how it works.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Knowledge Hut

MARCH 20, 2024

This article will teach you about different types of software engineering jobs, the duties performed by software engineering experts, and their salaries. They are responsible for establishing and managing data pipelines that make it easier to gather, process, and store large volumes of structured and unstructured data.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Knowledge Hut

MARCH 27, 2024

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

AltexSoft

JUNE 7, 2021

Which Big Data tasks does Spark solve most effectively? This article gives you all the answers — one by one. As a result, a Big Data analytics task is split up, with each machine performing its own little part in parallel. For every data unit, the NameNode has to store metadata with names, access rights, locations, and so on.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

AltexSoft

FEBRUARY 11, 2023

What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority. This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated.

Data Architect 87

Data Architect Certification Generalist Big Data 87

AltexSoft

JULY 29, 2022

What does it take to store all New York Times articles published between 1855 and 1922? Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Source: The Wall Street Journal.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Knowledge Hut

MAY 31, 2023

If you are interested in working on database projects in 2023, this article is for you. You can then create your own models within your codebase, allowing you to access and manipulate your database directly from Python when needed - whether that means fetching records or adding or updating them.

Database 52

Database Coding MongoDB Project 52

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. As a result, Elasticsearch is exceptionally efficient in managing structured and unstructured data.

Engineering 52

Engineering NoSQL Programming Language Java 52

Knowledge Hut

DECEMBER 26, 2023

When it comes to learning more about it, Big Data books help us learn the various aspects of big data, be it big data management, analytics, data fundamentals, ethics, etc. In this article, you will learn in detail about big data books as per your learning needs.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

Knowledge Hut

DECEMBER 27, 2023

Throughout the 20th century, volumes of data kept growing at an unexpected speed and machines started storing information magnetically and in other ways. Accessing and storing huge data volumes for analytics was going on for a long time. We will discuss more on this later in this article. What is Big Data?

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

AltexSoft

NOVEMBER 10, 2021

At the same time, it brings structure to data and empowers data management features similar to those in data warehouses by implementing the metadata layer on top of the store. Traditional data warehouse platform architecture. Key features of a data lakehouse. Unstructured and streaming data support.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

AltexSoft

DECEMBER 23, 2022

Integrating data from numerous, disjointed sources and processing it to provide context provides both opportunities and challenges. One of the ways to overcome challenges and gain more opportunities in terms of data integration is to build an ELT (Extract, Load, Transform) pipeline. ELT allows them to work with the data directly.

Process 52

Process Building Raw Data Data Lake 52

U-Next

OCTOBER 27, 2022

Cloud computing is the term used to describe internet data storage and access. It doesn’t store any data on your computer’s hard drive and allows users to access data from faraway servers. You can easily access as many resources as you require and only pay for those that you utilize. .

AWS 40

AWS Amazon Web Services Cloud Computing Cloud 40

Rockset

APRIL 20, 2020

It is a NoSQL data store that is document-oriented, scalable, and schemaless by default. Elasticsearch is designed to work at scale with large data sets. The use of NoSQL data stores is becoming increasingly popular due to their ability to tackle a number of challenges associated with the traditional data handling approaches.

SQL 40

SQL NoSQL Relational Database Database 40

ProjectPro

APRIL 17, 2015

Businesses are wading into the big data trends as they do not want to take the risk of being left behind. This articles explores four latest trends in big data analytics that are driving implementation of cutting edge technologies like Hadoop and NoSQL.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

Knowledge Hut

SEPTEMBER 6, 2023

Over the past decade, the IT world transformed with a data revolution. Back when I studied Computer Science in the early 2000s, databases like MS Access and Oracle ruled. The rise of big data and NoSQL changed the game. Systems evolved from simple to complex, and we had to split how we find data from where we store it.

Database 52

Database Certification MongoDB MySQL 52

AltexSoft

JULY 27, 2021

In this article, we’re taking you down the road of machine learning-based personalization. The data may include such points as the user’s attributes, behaviors, or content of the user accesses’ resources. Recommendation engines mostly rely on two types of data such as: explicit data or user input data (e.g.,

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

ProjectPro

JUNE 4, 2015

HDFS in Hadoop architecture provides high throughput access to application data and Hadoop MapReduce provides YARN based parallel processing of large data sets. The basic principle of working behind Apache Hadoop is to break up unstructured data and distribute it into many parts for concurrent data analysis.

Hadoop 52

Hadoop Architecture IT Java 52

ProjectPro

NOVEMBER 14, 2015

Hadoop Common houses the common utilities that support other modules, Hadoop Distributed File System (HDFS™) provides high throughput access to application data, Hadoop YARN is a job scheduling framework that is responsible for cluster resource management and Hadoop MapReduce facilitates parallel processing of large data sets.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

JUNE 2, 2015

We have to find the right correlation patterns for all our forward memories and incoming data to predict upcoming malfunctions and their consequences."- Big data is unusable without structure and companies might take years to comprehend the data, and yet might not be able to yield useful insights.

Big Data 40

Big Data Hadoop Banking Retail 40

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.

Big Data 52

Big Data Data Analysis Hadoop Retail 52