Big Data Tools, Kafka and MongoDB - Data Engineering Digest

Big Data Technologies that Everyone Should Know in 2024

Knowledge Hut

APRIL 25, 2024

This article will discuss big data analytics technologies, technologies used in big data, and new big data technologies. Check out the Big Data courses online to develop a strong skill set while working with the most powerful Big Data tools and technologies.

Big Data

Big Data Technology Hadoop NoSQL

Top 16 Data Science Job Roles To Pursue in 2024

Knowledge Hut

DECEMBER 26, 2023

They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase. They also make use of ETL tools, messaging systems like Kafka, and Big Data Tool kits such as SparkML and Mahout.

Data Science

Data Science BI Business Intelligence Machine Learning

What is AWS Kinesis (Amazon Kinesis Data Streams)?

Edureka

AUGUST 23, 2024

Amazon Web Service (AWS) offers the Amazon Kinesis service to process a vast amount of data, including, but not limited to, audio, video, website clickstreams, application logs, and IoT telemetry, every second in real-time. Compared to Big Data tools, Amazon Kinesis is automated and fully managed.

AWS

AWS Kafka Amazon Web Services Medical

Webinars

Apache Airflow®: The Ultimate Guide to DAG Writing

MORE WEBINARS

Top 20+ Big Data Certifications and Courses in 2023

Knowledge Hut

SEPTEMBER 6, 2023

Problem-Solving Abilities: Many certification courses provide projects and assessments which require hands-on practice of big data tools which enhances your problem solving capabilities. Networking Opportunities: While pursuing big data certification course you are likely to interact with trainers and other data professionals.

Big Data

Big Data Certification Hadoop Kafka

20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

AUGUST 24, 2021

So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Big Data Tools: Without learning about popular big data tools, it is almost impossible to complete any task in data engineering. Finally, the data is published and visualized on a Java-based custom Dashboard.

Data Engineering

Data Engineering Data Engineer Coding Project

Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

DECEMBER 7, 2021

In addition, to extract data from the eCommerce website, you need experts familiar with databases like MongoDB that store reviews of customers. You can use big-data processing tools like Apache Spark , Kafka , and more to create such pipelines. However, it is not straightforward to create data pipelines.

Data Pipeline

Data Pipeline Architecture Kafka AWS

Recap of Hadoop News for September 2018

ProjectPro

OCTOBER 5, 2018

Microsoft has announced the addition of new connectors which will allow businesses to use SQL server to query other databases like MongoDB, Oracle, and Teradata. This will make Microsoft SQL server into a virtual integration layer where the data will never have to be replicated or moved to the SQL server. September 24, 2018.

Hadoop

Hadoop BI Big Data MongoDB

?Data Engineer vs Machine Learning Engineer: What to Choose?

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. The ML engineers act as a bridge between software engineering and data science.

Machine Learning

Machine Learning Data Engineering Data Engineer Engineering

Azure Data Engineer Skills – Strategies for Optimization

Edureka

FEBRUARY 9, 2023

Data engineers don’t just work with traditional data; they’re frequently tasked with handling massive amounts of data. A data engineer should be familiar with popular Big Data tools and technologies such as Hadoop, MongoDB, and Kafka.

Data Engineering

Data Engineering Data Engineer Engineering Data Mining

Azure Data Engineer Certification Path (DP-203): 2023 Roadmap

Knowledge Hut

SEPTEMBER 26, 2023

Using scripts, data engineers ought to be able to automate routine tasks. Data engineers handle vast volumes of data on a regular basis and don't only deal with normal data. Popular Big Data tools and technologies that a data engineer has to be familiar with include Hadoop, MongoDB, and Kafka.

Certification

Certification Data Engineering Data Engineer Engineering

Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

JUNE 23, 2023

You should be thorough with technicalities related to relational and non-relational databases, Data security, ETL (extract, transform, and load) systems, Data storage, automation and scripting, big data tools, and machine learning. You can also post your work on your LinkedIn profile.

Data Engineering

Data Engineering Data Engineer Engineering Non-relational Database

How to Become an Azure Data Engineer? 2023 Roadmap

Knowledge Hut

NOVEMBER 17, 2023

Data engineers must therefore have a thorough understanding of programming languages like Python, Java, or Scala. Candidates looking for Azure data engineering positions should also be familiar with big data tools like Hadoop.

Data Engineering

Data Engineering Data Engineer Engineering Scala

How to Become an Azure Data Engineer in 2023?

ProjectPro

JANUARY 19, 2022

While data scientists are primarily concerned with machine learning, having a basic understanding of the ideas might help them better understand the demands of data scientists on their teams. Data engineers don't just work with conventional data; and they're often entrusted with handling large amounts of data.

Data Engineering

Data Engineering Data Engineer Engineering Data Storage

Top Hadoop Projects and Spark Projects for Beginners 2021

ProjectPro

NOVEMBER 14, 2015

Tools/Tech stack used: The tools and technologies used for such healthcare data management using Apache Hadoop are MapReduce and MongoDB. In this project, you will work on preparing a real-time analytics dashboard using popular Big Data tools.

Hadoop

Hadoop Project Big Data Healthcare

The Top 25 Data Engineering Influencers and Content Creators on LinkedIn

Databand.ai

DECEMBER 13, 2022

He also has adept knowledge of coding in Python, R, SQL, and using big data tools such as Spark. Mark is the founder of On the Mark Data , where he uses the platform to share impactful ideas via content creation, as well as push for innovation through consulting startups.

Data Engineering

Data Engineering Data Engineer Engineering AWS

100+ Data Engineer Interview Questions and Answers for 2023

ProjectPro

JULY 27, 2021

Top 100+ Data Engineer Interview Questions and Answers The following sections consist of the top 100+ data engineer interview questions divided based on big data fundamentals, big data tools/technologies, and big data cloud computing platforms.

Data Engineering

Data Engineering Data Engineer Engineering Hadoop

Big Data Technologies that Everyone Should Know in 2024

Top 16 Data Science Job Roles To Pursue in 2024

What is AWS Kinesis (Amazon Kinesis Data Streams)?

Webinars

Top 20+ Big Data Certifications and Courses in 2023

20+ Data Engineering Projects for Beginners with Source Code

Data Pipeline- Definition, Architecture, Examples, and Use Cases

Recap of Hadoop News for September 2018

?Data Engineer vs Machine Learning Engineer: What to Choose?

Azure Data Engineer Skills – Strategies for Optimization

Azure Data Engineer Certification Path (DP-203): 2023 Roadmap

Data Engineering Learning Path: A Complete Roadmap

How to Become an Azure Data Engineer? 2023 Roadmap

How to Become an Azure Data Engineer in 2023?

Top Hadoop Projects and Spark Projects for Beginners 2021

The Top 25 Data Engineering Influencers and Content Creators on LinkedIn

100+ Data Engineer Interview Questions and Answers for 2023

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