Cloud Academy

JANUARY 27, 2022

How to become a data engineer Here’s a 6-step process to become a data engineer: Understand data fundamentals Get a basic understanding of SQL Have knowledge of regular expressions (RegEx) Have experience with the JSON format Understand the theory and practice of machine learning (ML) Have experience with programming languages 1.

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Certification Data Engineering Data Engineer Engineering 52

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. Certain roles like Data Scientists require a good knowledge of coding compared to other roles. In other words, they develop, maintain, and test Big Data solutions.

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Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

APRIL 25, 2023

Data engineers add meaning to the data for companies, be it by designing infrastructure or developing algorithms. The practice requires them to use a mix of various programming languages, data warehouses, and tools. While they go about it - enter big data data engineer tools.

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Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

DECEMBER 21, 2023

In this article, we will discuss the 10 most popular Hadoop tools which can ease the process of performing complex data transformations. Hadoop is an open-source framework that is written in Java. It incorporates several analytical tools that help improve the data analytics process. What is Hadoop?

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Hadoop Big Data NoSQL Unstructured Data 52

Ascend.io

SEPTEMBER 14, 2023

Read More: Data Automation Engineer: Skills, Workflow, and Business Impact Python for Data Engineering Versus SQL, Java, and Scala When diving into the domain of data engineering, understanding the strengths and weaknesses of your chosen programming language is essential.

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Data Engineering Data Engineer Python Engineering 52

Knowledge Hut

DECEMBER 19, 2023

Java, as the language of digital technology, is one of the most popular and robust of all software programming languages. It is ideal for cross-platform applications because it is a compiled language with object code that can work across more than one machine or processor. Who is a Java Full Stack Developer?

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Java Programming Language Architecture Database 98

Knowledge Hut

JUNE 23, 2023

Data warehousing to aggregate unstructured data collected from multiple sources. Data architecture to tackle datasets and the relationship between processes and applications. Coding helps you link your database and work with all programming languages. You can also post your work on your LinkedIn profile.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

JULY 26, 2023

MongoDB): MongoDB is a prominent database software that comes under the category of "document store" databases. Document store databases, such as MongoDB, are intended to store and manage data that is unstructured or semi-structured, such as documents. Database Software- Document Store (e.g.-MongoDB):

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Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

DECEMBER 26, 2023

They should be proficient in multiple programming languages, such as HTML, CSS, JavaScript, and PHP. Additionally, they should have extensive knowledge of server-side technologies, such as Apache and NGINX, and database systems, such as MySQL and MongoDB. In short, if it's on Facebook, then it's your job to make sure it works!

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Food Programming Language Transportation Manufacturing 52

Knowledge Hut

APRIL 25, 2024

From in-depth knowledge of programming languages to problem-solving skills, there are various qualities that a successful backend developer must possess. Backend Programming Languages Java, Python, PHP You need to know specific programming languages to have a career path that leads you to success.

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Programming Language Java Algorithm MySQL 98

ProjectPro

JANUARY 19, 2022

Data Engineering Requirements Here is a list of skills needed to become a data engineer: Highly skilled at graduation-level mathematics. Good skills in computer programming languages like R, Python, Java, C++, etc. We have prepared a how-to be data engineer roadmap for you. Supports big data technology well.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

FEBRUARY 2, 2024

Skills Required HTML, CSS, JavaScript or Python for Backend programming, Databases such as SQL, MongoDB, Git version control, JavaScript frameworks, etc. Software and Programming Language Courses Logic rules supreme in the world of computers. What’s more?

Programming Language 98

Programming Language Amazon Web Services Cloud Computing Java 98

Knowledge Hut

DECEMBER 26, 2023

For examples: Offline Integrated Development Environment / Code Editors Microsoft Visual Studio Code A very lightweight editor by Microsoft which supports many programming languages. It supports several programming and markup languages. IntelliJ Idea A popular editor for Java-based application development.

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MongoDB Programming Language Java Python 98

Knowledge Hut

DECEMBER 21, 2023

The primary process comprises gathering data from multiple sources, storing it in a database to handle vast quantities of information, cleaning it for further use and presenting it in a comprehensible manner. Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language).

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Knowledge Hut

MARCH 27, 2024

Real-time analytics platforms in big data apply logic and math to gain faster insights into data, resulting in a more streamlined and informed decision-making process. Some open-source technology for big data analytics are : Hadoop. Let's check some big data analytics tools examples and software used in big data analytics.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

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.

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Data Engineering Data Engineer Engineering Data Mining 52

ProjectPro

NOVEMBER 14, 2015

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis.

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Hadoop Project Big Data Healthcare 52

Knowledge Hut

NOVEMBER 7, 2023

Applications of Cloud Computing in Data Storage and Backup Many computer engineers are continually attempting to improve the process of data backup. Previously, customers stored data on a collection of drives or tapes, which took hours to collect and move to the backup location.

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Cloud Computing Cloud Amazon Web Services Entertainment 98

ProjectPro

JANUARY 19, 2022

Here are some role-specific skills you should consider to become an Azure data engineer- Most data storage and processing systems use programming languages. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

AltexSoft

JULY 29, 2022

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. How data engineering works under the hood.

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Hadoop Big Data Google Cloud NoSQL 59

Edureka

JANUARY 18, 2024

Explore real-world examples, emphasizing the importance of statistical thinking in designing experiments and drawing reliable conclusions from data. Programming A minimum of one programming language, such as Python, SQL, Scala, Java, or R, is required for the data science field.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. Data Variety Hadoop stores structured, semi-structured and unstructured data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Confluent

SEPTEMBER 20, 2019

BigQuery, Amazon Redshift, and MongoDB Atlas) and caches (e.g., Confluent Cloud addresses elasticity with a pricing model that is usage based, in which the user pays only for the data that is actually streamed. If there is no traffic in any of the created clusters, then there are no charges (excluding data storage costs).

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Kafka Management Cloud AWS 21