Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Of course, handling such huge amounts of data and using them to extract data-driven insights for any business is not an easy task; and this is where Data Science comes into the picture.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

JANUARY 19, 2024

In data science, we use various tools, processes, and algorithms to extract insights from structured and unstructured data. Exploring data science, I focus on key topics like statistical analysis, machine learning, data visualization, and programming in my course syllabus. Must learn Data Science Course Topics 1.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Data Engineering Weekly

MARCH 19, 2023

The author defines Data Product as the combination of Datasets Domain Access It is an exciting time for the data industry as we are increasingly talking about philosophies to adopt data in an organization than technology complexities such as Hadoop, Spark, etc., Map table vs. using complex data structure?

Data Engineering 57

Data Engineering Data Engineer Engineering Media 57

ProjectPro

APRIL 20, 2017

But when you browse through hadoop developer job postings, you become a little worried as most of the big data hadoop job descriptions require some kind of experience working on projects related to Hadoop. Table of Contents How working on Hadoop projects will help professionals in the long run?

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Hadoop Big Data Coding Project 40

Towards Data Science

FEBRUARY 9, 2024

This article is part of a project that’s split into two main phases. In the second phase, we’ll develop an application that uses a language model to interact with this database. To set-up and run these tools we will use Docker. Using these data engineering tools firsthand is beneficial. Image by the author.

Kafka 76

Kafka Data Engineering Data Engineer PostgreSQL 76

Knowledge Hut

DECEMBER 26, 2023

However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured. Data Modeling using multiple algorithms. This example will help us understand Data Science more clearly. Let us consider your sleep quality for instance. Let us now look at the three major roles of data engineers.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

SEPTEMBER 26, 2023

These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets. It offers a wide range of services, including computing, storage, databases, machine learning, and analytics, making it a versatile choice for businesses looking to harness the power of the cloud.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Knowledge Hut

DECEMBER 26, 2023

Owing to its simple syntax and ease of use, Python for Data Science is the go-to option for both freshers and working professionals. Python also finds its use in academic research and building statistical models adding to its versatility. This can be used to create any kind of graph and plot.

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Data Science Python Programming Language Portfolio 92

ProjectPro

JANUARY 31, 2023

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. RDBMS is a part of system software used to create and manage databases based on the relational model.

Big Data 52

Big Data Hadoop AWS Relational Database 52

AltexSoft

MAY 14, 2021

Not only does Big Data apply to the huge volumes of continuously growing data that come in different formats, but it also refers to the range of processes, tools, and approaches used to gain insights from that data. Also, we’ll introduce you to the popular Big Data analytics tools and existing use cases. Traditional approach.

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Big Data Data Analytics IT NoSQL 78

Knowledge Hut

FEBRUARY 7, 2023

Once upon a time, Data Science was something that was restricted only to the tech giants, but in this fast-growing world, it is slowly becoming an integral part of businesses as big companies start to integrate these techniques into their business models. Typically, data science projects involve using an abundance of ls (eg.

Data Science 52

Data Science Google Cloud Programming Language AWS 52

ProjectPro

JUNE 24, 2021

More and more industries are now realising the importance of making use of data analytics and using the data available to them for their benefit. Table of Contents Skills Required for Data Analytics Jobs Why Should Students Work on Big Data Analytics Projects ?

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Data Analytics Project Insurance Hadoop 40

ProjectPro

NOVEMBER 30, 2021

When working on real-time business problems, data scientists build models using various Machine Learning or Deep Learning algorithms. A wrong input can result in unrecognizable output (garbage) on computers that use predefined logic. We have data sources and data consumers, and to connect them, we use data pipelines.

Process 52

Process Data Pipeline Data Warehouse AWS 52

ProjectPro

JULY 30, 2021

Why Learn Cloud Computing Skills? Table of Contents Why Learn Cloud Computing Skills? Basic Interview Questions on Cloud Computing 1. Software and applications are used on a subscription basis. The hypervisor is a hardware-supported emulation technique that allows multiple OS to run on the same host OS.

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Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

JULY 27, 2021

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. Data modeling is a technique that defines and analyzes the data requirements needed to support business processes. Data is regularly updated.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

DECEMBER 10, 2021

Where can I find Azure projects/project ideas to enhance my skills? The fact that more than half of Fortune 500 companies use Azure for cloud computing services indicates that the demand for Microsoft Azure specialists is on the rise. The cloud provider owns all hardware, software, and other supporting facilities in this case.

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BI Cloud Computing SQL Database 52

ProjectPro

AUGUST 11, 2016

When people talk about big data analytics and Hadoop, they think about using technologies like Pig, Hive , and Impala as the core tools for data analysis. This post summarizes the various ways to use R and Hadoop together to perform big data analytics for achieving scalability, stability and speed.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

ProjectPro

AUGUST 21, 2015

Speed Writes are Fast Reads are Fast Master Big Data with Real-World Hadoop Projects 2. Walmart observed a significant 10% to 15% increase in online sales for $1 billion in incremental revenue. using big data analytics to boost their revenue. using big data analytics to boost their revenue. Processes structured data.

Hadoop 40

Hadoop Big Data Metadata Java 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. Table of Contents What is a Big Data Project?

Big Data 52

Big Data Coding Project Hadoop 52

AltexSoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. Citing Microsoft’s principal researcher Rich Caruana, ‘75 percent of machine learning is preparing to do machine learning… and 15 percent is what you do afterwards.’ AutoML use cases. This leaves only 10 percent of the entire flow automated by ML models.

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Machine Learning Deep Learning Algorithm Telecommunication 59