Knowledge Hut

DECEMBER 26, 2023

Data Science also requires applying Machine Learning algorithms, which is why some knowledge of programming languages like Python, SQL, R, Java, or C/C++ is also required. They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

JUNE 20, 2023

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Skills A data engineer should have good programming and analytical skills with big data knowledge. You should be skilled in SQL and knowledgeable about NoSQL databases like Cassandra, MongoDB, and HBase.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

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.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

JUNE 23, 2023

Coding helps you link your database and work with all programming languages. Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala. Data warehousing to aggregate unstructured data collected from multiple sources. You can also post your work on your LinkedIn profile.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

SEPTEMBER 6, 2023

Programming Languages : Good command on programming languages like Python, Java, or Scala is important as it enables you to handle data and derive insights from it. Apache Spark and Scala Training Apache Spark and Scala is a wonderful course to master Apache Spark using Scala with related advanced techniques.

Big Data 52

Big Data Certification Hadoop Scala 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.

Programming Language 98

Programming Language Java Algorithm MySQL 98

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. What is MongoDB?

MongoDB 40

MongoDB Architecture NoSQL MySQL 40

Databand.ai

DECEMBER 13, 2022

Tobias has worked extensively with many programming languages and frameworks, including Python, Ruby, Javascript, HTML/CSS, Ruby on Rails, Flask, and Django.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Knowledge Hut

DECEMBER 26, 2023

In today’s AI-driven world, Data Science has been imprinting its tremendous impact, especially with the help of the Python programming language. Python is a popular, easily understood programming language with a vibrant, expanding user base. Spend a few days learning the fundamentals of Python programming.

Data Science 92

Data Science Python Programming Language Portfolio 92

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. All programming is done using coding languages.

Java 98

Java Programming Language Architecture Database 98

ProjectPro

NOVEMBER 14, 2015

With Big Data came a need for programming languages and platforms that could provide fast computing and processing capabilities. Tools/Tech stack used: The tools and technologies used for such healthcare data management using Apache Hadoop are MapReduce and MongoDB. This system can even handle emergency situations if required.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Knowledge Hut

NOVEMBER 7, 2023

Back-end developers should be conversant with the programming languages that will be used to build server-side apps. Programming Every software developer needs to be able to write code, but cloud architects and administrators may also need to do so occasionally.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

Edureka

FEBRUARY 9, 2023

Experience with data warehousing and ETL concepts, as well as programming languages such as Python, SQL, and Java, is required. Here are some role-specific skills to consider if you want to become an Azure data engineer: Programming languages are used in the majority of data storage and processing systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

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. What is the most popular Azure Certification?

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Edureka

JANUARY 18, 2024

Programming A minimum of one programming language, such as Python, SQL, Scala, Java, or R, is required for the data science field. NoSQL Databases This blog provides an overview of NoSQL databases, including MongoDB, Cassandra, HBase, and Couchbase.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

AltexSoft

JULY 29, 2022

In terms of the community size, Hadoop can hardly compete with top programming languages or web technologies. the Linux operating system since it’s a preferred OS for Hadoop installation; programming. Expertise in any programming language will make learning Hadoop easier. How data engineering works under the hood.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

AltexSoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. Today, it remains the only language of the main Kafka project. The Good and the Bad of Swift Programming Language. You can find off-the-shelf links for. The Good and the Bad of Node.js

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

U-Next

AUGUST 3, 2022

Programming in several languages: Data Scientists frequently employ a variety of programming languages, including Python, R, C/C, SAS, Scala, and SQL. They need knowledge of the main principles and programming languages. Non-Technical Competencies.

Retail 52

Retail Data Science Computer Science Entertainment 52

ProjectPro

JANUARY 31, 2023

It tests several platforms such as Hadoop, Teradata, Oracle, Microsoft, IBM, MongoDB, Cloudera, Amazon, and other Hadoop suppliers. A user-defined function (UDF) is a common feature of programming languages, and the primary tool programmers use to build applications using reusable code. What is a UDF? may be used with it.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Confluent

SEPTEMBER 20, 2019

BigQuery, Amazon Redshift, and MongoDB Atlas) and caches (e.g., The scenario presented could be easily addressed with a managed service that provides native clients for different programming languages, beyond what is provided by Apache Kafka. Although the concept of managed services is fairly common in databases (e.g.,

Kafka 21

Kafka Management Cloud AWS 21

ProjectPro

JULY 27, 2021

E.g. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB What is data modeling? A sound command over software and programming languages is important for a data scientist and a data engineer. What is a case class in Scala? E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server. Elaborate on the Hive architecture.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40