Knowledge Hut

NOVEMBER 28, 2023

They are people equipped with advanced analytical skills, robust programming skills, statistical knowledge, and a clear understanding of big data technologies. Data Engineering will be prioritized in the coming years, and the number of data engineer jobs will continue to grow. What do Data Engineers Do?

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Knowledge Hut

MARCH 19, 2024

AWS's computing power, storage, database management , and artificial intelligence technologies have benefited businesses of all sizes, from startups to multinational corporations. RDS should be utilized with NoSQL databases like Amazon OpenSearch Service (for text and unstructured data) and DynamoDB (for low-latency/high-traffic use cases).

AWS 52

AWS Amazon Web Services Hospitality Cloud Computing 52

Knowledge Hut

APRIL 23, 2024

Drug Discovery and Development: By analyzing enormous volumes of biological, chemical, and clinical data, big data helps to speed up the drug discovery process, resulting in the identification of prospective therapeutic targets and more effective clinical trials. Big Data Use Cases in Emerging Technologies a.

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Knowledge Hut

NOVEMBER 7, 2023

With quick access to various technologies through the cloud, you can develop more quickly and create almost anything you can imagine. You can swiftly provision infrastructure services like computation, storage, and databases, as well as machine learning, the internet of things, data lakes and analytics, and much more.

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Cloud Computing Cloud Amazon Web Services Entertainment 98

Knowledge Hut

JANUARY 11, 2024

If you want to be a financial data scientist, you can take the help of the Data Science certification course by KnowledgeHut, and it will act as a launchpad for your growth in this field. What Is Data Science? It uses complex machine learning algorithms to build meaningful and structured data.

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Finance Data Science Programming Language Machine Learning 93

Knowledge Hut

MARCH 26, 2024

An essential position in IT is that of a solution architect who develops and deploys technological solutions that are customized to satisfy certain business requirements. Solution architects work with developers, stakeholders, and other IT specialists to build unified and effective systems.

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Amazon Web Services Google Cloud Computer Science AWS 52

Knowledge Hut

JUNE 26, 2023

Get ready to delve into fascinating data engineering project concepts and explore a world of exciting data engineering projects in this article. Before working on these initiatives, you should be conversant with topics and technologies. What are Data Engineering Projects?

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Knowledge Hut

APRIL 3, 2023

The field of Backend Development is constantly evolving, and staying up-to-date with the latest tools and technologies is crucial for success. These include: A strong foundation in computer science, including knowledge of algorithms, data structures, and programming languages. Experience working with databases and APIs.

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Knowledge Hut

JUNE 20, 2023

Businesses need data for everyday operations as well as for major decisions. With the advent of digitalization and technological advancement, the amount of data produced by a company and stored in any organization has increased to a great level. It helps to enhance the data quality and make informed decisions in a company.

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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

Knowledge Hut

MAY 31, 2023

However, managing data can be a challenging task, especially when dealing with large amounts of information. This is where database management systems come in handy. A database management system (DBMS) is a software system that helps organize, store and manage information efficiently. So, Let's get started!

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ProjectPro

JANUARY 19, 2022

Azure Data Engineers Jobs - The Demand Azure Data Engineer Salary Azure Data Engineer Skills What does an Azure Data Engineer Do? Data is an organization's most valuable asset, so ensuring it can be accessed quickly and securely should be a primary concern. According to the 2020 U.S.

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Knowledge Hut

NOVEMBER 16, 2023

Moreover, the excitement to work with new technology and to embark on learning paths every day fuels the rising demand for IT jobs, not to forget the role of digitalization in this technology boost. Their main responsibilities include processing data, identifying valuable data sources, combining models, integrating data, etc.

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IT Software Engineer Software Engineering Cloud Computing 52

Knowledge Hut

JULY 26, 2023

These datasets typically involve high volume, velocity, variety, and veracity, which are often referred to as the 4 v's of Big Data: Volume: Volume refers to the vast amount of data generated and collected from various sources. Managing and analyzing such large volumes of data requires specialized tools and technologies.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Edureka

JULY 18, 2023

In the constantly changing world of technology, artificial intelligence has become a potent tool for transforming sectors all over the world. To find abnormalities and signs of cyber risks, machine learning algorithms analyse vast volumes of data, including log files, user behaviour patterns, and network traffic.

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Knowledge Hut

JANUARY 24, 2024

In their quest for knowledge, data scientists meticulously identify pertinent questions that require answers and source the relevant data for analysis. Beyond their analytical prowess, they possess the ability to uncover, refine, and present data effectively. In retail, it powers recommendation systems and market analysis.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

ProjectPro

JANUARY 31, 2023

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

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Cloudera

SEPTEMBER 7, 2018

This conventional approach also employs a Relational Database Management System (RDBMS) technology, which, however, falls short in meeting current business demands for scalable, flexible and cost-efficient solutions to insider threat.

Machine Learning 49

Machine Learning Unstructured Data Portfolio Relational Database 49

ProjectPro

SEPTEMBER 16, 2021

NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies.

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NoSQL Database Hadoop Big Data 52

ProjectPro

SEPTEMBER 26, 2021

Big Data refers to the massive volumes of data which is no longer possible to manage using traditional software applications. Automated tools are developed as part of the Big Data technology to handle the massive volumes of varied data sets. You must have good knowledge of the SQL and NoSQL database systems.

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Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

AUGUST 24, 2021

But before you send out your resume for any data engineer job, and if you want to get shortlisted for further rounds, you need to have ample knowledge of various data engineering technologies and methods. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

MAY 26, 2015

The webinar discusses about the working of beacon technology (Beaconstac) and the production beacon analytics system Morpheus at MobStac that leverages Hadoop for analysing huge amounts of unstructured data generated from beacons (IoT).Beacons

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Hadoop Unstructured Data Big Data Retail 52

ProjectPro

DECEMBER 7, 2021

Data Pipeline Tools AWS Data Pipeline Azure Data Pipeline Airflow Data Pipeline Learn to Create a Data Pipeline FAQs on Data Pipeline What is a Data Pipeline? In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline.

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Data Pipeline Architecture Kafka AWS 52

ProjectPro

SEPTEMBER 30, 2014

To understand the significance of big data and Hadoop for ETL professionals read this article to endorse the awareness on why is this the best time to pursue a career in big data Hadoop for all data warehousing and ETL professionals. As things stand currently, both the technologies are here to stay in the near future.

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Hadoop Unstructured Data ETL Tools ETL System 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. How do you Create a Good Big Data Project?

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Databand.ai

DECEMBER 13, 2022

1) Joseph Machado Senior Data Engineer at LinkedIn Joseph is an experienced data engineer, holding a Master’s degree in Electrical Engineering from Columbia University and having spent time on the teams at Annalect, Narrativ, and most recently LinkedIn. You can also watch the video recording.

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Data Engineering Data Engineer Engineering AWS 52

ProjectPro

MARCH 15, 2016

Hadoop is beginning to live up to its promise of being the backbone technology for Big Data storage and analytics. Companies across the globe have started to migrate their data into Hadoop to join the stalwarts who already adopted Hadoop a while ago. Hadoop is well known to be a distributed, scalable and fault-tolerant system.

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Knowledge Hut

FEBRUARY 7, 2023

In this blog, we go through what a Data Science Platform is, the different types of platforms, and how they can be used to bring value to the business so that the big corporates can stay in the race to conquer the market of the future. What is a Data Science Platform? Top Data Science Platforms 1. Platform H2O.ai

Data Science 52

Data Science Google Cloud Programming Language AWS 52

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

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Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JULY 13, 2015

Apache Hadoop is the framework of choice for JPMorgan - not only to support the exponentially growing data size but more importantly for the fast processing of complex unstructured data. JP Morgan has massive amounts of data on what its customers spend and earn. Hadoop allows us to store data that we never stored before.

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Hadoop Big Data Data Analytics Banking 52

ProjectPro

JANUARY 24, 2023

Additionally, columnar storage allows BigQuery to compress data more effectively, which helps to reduce storage costs. BigQuery enables users to store data in tables, allowing them to quickly and easily access their data. It supports structured and unstructured data, allowing users to work with various formats.

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

Cloudera

SEPTEMBER 17, 2018

This puts new pressures on the people working behind the scenes to prepare and serve data in a consumable way to a growing audience with various levels of access credentials and technical expertise. It also puts pressure on tooling and technology platforms to enable self-serve BI in an easy, yet secure and controlled way. Optimization.

Data Warehouse 53

Data Warehouse SQL Portfolio MySQL 53

ProjectPro

SEPTEMBER 1, 2016

The challenge of using the distributed computing system of hadoop that everyone wants the Hadoop cluster for their own work exclusively. Source: [link] ) For the complete list of big data companies and their salaries- CLICK HERE Analysts remain bullish on Hadoop even as Spark threatens to steal the show. billion by 2021.

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Hadoop Unstructured Data Big Data Portfolio 40

ProjectPro

NOVEMBER 30, 2021

ETL (Extract, Transform, and Load) Pipeline involves data extraction from multiple sources like transaction databases, APIs, or other business systems, transforming it, and loading it into a cloud-hosted database or a cloud data warehouse for deeper analytics and business intelligence.

Process 52

Process Data Pipeline Data Warehouse AWS 52

ProjectPro

MARCH 19, 2015

RDBMS is not always the best solution for all situations as it cannot meet the increasing growth of unstructured data. As data processing requirements grow exponentially, NoSQL is a dynamic and cloud friendly approach to dynamically process unstructured data with ease.IT

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NoSQL Big Data SQL Database-centric 49

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

APRIL 1, 2016

It can no longer be classified as a specialized skill, rather it has to become the enterprise data hub of choice and relational database to deliver on its promise of being the go to technology for Big Data Analytics. Insight Cloud provides services for data ingestion, processing, analysing and visualization. Computing.co.uk

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