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

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. Engage in hands-on projects, work with real-world datasets, and practice using Big Data tools and platforms. No prior experience is required.

Big Data 52

Big Data Certification Hadoop Scala 52

ProjectPro

FEBRUARY 21, 2023

Azure Data Engineer Associate DP-203 Certification Candidates for this exam must possess a thorough understanding of SQL, Python, and Scala, among other data processing languages. Perform data ingestion activities, such as importing data from relational database management systems into HDFS or the outputs of a query into HDFS.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

NOVEMBER 14, 2015

With Big Data came a need for programming languages and platforms that could provide fast computing and processing capabilities. This failure of relational database management systems triggered organizations to move their data from RDBMS to Hadoop. Data Integration 3.Scalability Scalability 4.Link Link Prediction 5.Cloud

Hadoop 52

Hadoop Project Big Data Healthcare 52

Knowledge Hut

DECEMBER 26, 2023

A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. This job requires a handful of skills, starting from a strong foundation of SQL and programming languages like Python , Java , etc. They analyze datasets to find trends and patterns and report the results using visualization tools.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

MARCH 20, 2024

Together with designing the end-user interface and the complex systems and databases that operate it, they can work independently to design, create, and develop a whole working web application. Average Salary: $111,691 Required skills: One of the fundamental abilities of a Security Engineer is programming.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

ProjectPro

FEBRUARY 8, 2023

This serverless data integration service can automatically and quickly discover structured or unstructured enterprise data when stored in data lakes in Amazon S3, data warehouses in Amazon Redshift, and other databases that are a component of the Amazon Relational Database Service.

AWS 98

AWS Scala Metadata Data Lake 98

ProjectPro

JANUARY 25, 2022

Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks. Furthermore, PySpark allows you to interact with Resilient Distributed Datasets (RDDs) in Apache Spark and Python. Because of its interoperability, it is the best framework for processing large datasets.

Big Data 52

Big Data Data Process Process Kafka 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. The final step is to publish your work.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

U-Next

AUGUST 8, 2022

The best coding languages for Data Science are those that allow Data Scientists to swiftly and efficiently collect and sort through huge amounts of data. There are several programming languages used by Data Science specialists, and a Data Scientist can accomplish this target and other similar objectives thanks to the languages.

Data Science 40

Data Science Coding Programming Language Scala 40

Knowledge Hut

SEPTEMBER 26, 2023

Whether your data is structured, like traditional relational databases, or unstructured, such as textual data, images, or log files, Azure Synapse can manage it effectively. Language Compatibility: Databricks provides extensive language compatibility, catering to data professionals with diverse skill sets.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 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. You can use the whole dataset for different analytical purposes again and again, but there is no way to edit or change the dataset once you save it. Say, you have a dataset of 1 GB.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

ProjectPro

JANUARY 31, 2023

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. MapReduce is a Hadoop framework used for processing large datasets. Another name for it is a programming model that enables us to process big datasets across computer clusters.

Big Data 52

Big Data Hadoop AWS Relational Database 52

U-Next

AUGUST 25, 2022

The Web Server Open Licence governs MongoDB databases’ creation, maintenance, and use, which were first made available in January 2009 by Mongo DB.ltd. Additionally, it offers official driver compatibility for all the most widely used programming languages, including Go, Java, NetGo, Perl, Php, Node.,

MongoDB 40

MongoDB Architecture NoSQL MySQL 40

ProjectPro

NOVEMBER 22, 2021

PySpark runs a completely compatible Python instance on the Spark driver (where the task was launched) while maintaining access to the Scala-based Spark cluster access. Although Spark was originally created in Scala, the Spark Community has published a new tool called PySpark, which allows Python to be used with Spark. Output- Q13.

Hadoop 52

Hadoop Python Datasets Metadata 52

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. To create a solution that satisfies the requirements, they must be proficient with coding, databases, and the software development process.

Retail 52

Retail Data Science Computer Science Entertainment 52

ProjectPro

JULY 27, 2021

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40