ProjectPro

JUNE 6, 2025

Classification Projects on Machine Learning for Beginners Recommender System Machine Learning Project for Beginners Build a Music Recommendation Algorithm using KKBox's Dataset Build a Text Classification Model with Attention Mechanism NLP Database technologies (SQL, NoSQL, etc.) such as Python/R, Hadoop, AWS, Azure, SQL/NoSQL , etc.

Data Engineer 40

Data Engineer Data Engineering Recruitment Building 40

ProjectPro

JUNE 6, 2025

You must have good knowledge of the SQL and NoSQL database systems. NoSQL databases are also gaining popularity owing to the additional capabilities offered by such databases. ETL Tools: Extract, Transfer, and Load (ETL) pulls data from numerous sources and applies specific rules on the data sets as per the business requirements.

Big Data 40

Big Data Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

Data Engineering Project You Must Explore Once you have completed this fundamental course, you must try working on the Hadoop Project to Perform Hive Analytics using SQL and Scala to help you brush up your skills. Hadoop, Spark), and databases (e.g., SQL, NoSQL). Ratings/Reviews This course has an overall rating of 4.7

Data Engineer 45

Data Engineer Data Engineering Cloud Engineering 45

ProjectPro

JUNE 6, 2025

Other Technical Data Architect Skills Some other important technical data architect skills typically include Understanding typical data management and reporting technologies and the fundamentals of columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics. Understanding of Data modeling tools (e.g.,

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

Cloud computing skills, especially in Microsoft Azure, SQL , Python , and expertise in big data technologies like Apache Spark and Hadoop, are highly sought after. The extracted data can be loaded into AWS S3 using various ETL tools or custom scripts. Understand the importance of Qubole in powering up Hadoop and Notebooks.

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

ProjectPro

JUNE 6, 2025

Data architects require practical skills with data management tools including data modeling, ETL tools, and data warehousing. How does Network File System (NFS) differ from Hadoop Distributed File System (HDFS)? Network File System Hadoop Distributed File System NFS can store and process only small volumes of data.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

OCTOBER 15, 2014

Pig and Hive are the two key components of the Hadoop ecosystem. What does pig hadoop or hive hadoop solve? Pig hadoop and Hive hadoop have a similar goal- they are tools that ease the complexity of writing complex java MapReduce programs. Table of contents Hive vs Pig What is Big Data and Hadoop?

Hadoop 52

Hadoop Java Unstructured Data SQL 52

AltexSoft

OCTOBER 30, 2021

Data engineers are programmers first and data specialists next, so they use their coding skills to develop, integrate, and manage tools supporting the data infrastructure: data warehouse, databases, ETL tools, and analytical systems. ETL and BI skills. Deploying machine learning models. Machine learning techniques.

Data Engineer 98

Data Engineer Data Engineering Engineering Machine Learning 98

ProjectPro

JUNE 6, 2025

Allows integration with other systems - Python is beneficial for integrating multiple scripts and other systems, including various databases (such as SQL and NoSQL databases), data formats (such as JSON, Parquet, etc.), Spark is incredibly fast in comparison to other similar frameworks like Apache Hadoop. and web services.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

AltexSoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. Kafka vs Hadoop. The Good and the Bad of Katalon Automation Testing Tool.

Kafka 93

Kafka Hadoop ETL Tools Java 93

ProjectPro

DECEMBER 7, 2016

HBase and Hive are two hadoop based big data technologies that serve different purposes. billion monthly active users on Facebook and the profile page loading at lightning fast speed, can you think of a single big data technology like Hadoop or Hive or HBase doing all this at the backend? HBase plays a critical role of that database.

Technology 40

Technology NoSQL Hadoop Data Mining 40

Edureka

AUGUST 29, 2024

Databases: Knowledgeable about SQL and NoSQL databases. Data Warehousing: Experience in using tools like Amazon Redshift, Google BigQuery, or Snowflake. Big Data Technologies: Aware of Hadoop, Spark, and other platforms for big data. ETL Tools: Worked on Apache NiFi, Talend, and Informatica.

Data Engineer 40

Data Engineer Data Engineering Engineering Generalist 40

ProjectPro

JUNE 6, 2025

Hadoop job interview is a tough road to cross with many pitfalls, that can make good opportunities fall off the edge. One, often over-looked part of Hadoop job interview is - thorough preparation. Needless to say, you are confident that you are going to nail this Hadoop job interview. directly into HDFS or Hive or HBase.

Hadoop 40

Hadoop MySQL Relational Database Java 40

Edureka

JULY 4, 2024

It is a cloud-based service by Amazon Web Services (AWS) that simplifies processing large, distributed datasets using popular open-source frameworks, including Apache Hadoop and Spark. Additionally, EMR can integrate with Amazon RDS and Amazon DynamoDB for any relational or NoSQL database requirements that the applications have.

AWS 52

AWS Amazon Web Services Hadoop Big Data 52

AltexSoft

OCTOBER 8, 2021

The tool supports all sorts of data loading and processing: real-time, batch, streaming (using Spark), etc. ODI has a wide array of connections to integrate with relational database management systems ( RDBMS) , cloud data warehouses, Hadoop, Spark , CRMs, B2B systems, while also supporting flat files, JSON, and XML formats.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

ProjectPro

SEPTEMBER 26, 2021

You must have good knowledge of the SQL and NoSQL database systems. NoSQL databases are also gaining popularity owing to the additional capabilities offered by such databases. ETL Tools: Extract, Transfer, and Load (ETL) pulls data from numerous sources and applies specific rules on the data sets as per the business requirements.

Big Data 52

Big Data Data Engineer Data Engineering Engineering 52

Knowledge Hut

NOVEMBER 28, 2023

Traditional data transformation tools are still relevant today, while next-generation Kafka, cloud-based tools, and SQL are on the rise for 2023. NoSQL If you think that Hadoop doesn't matter as you have moved to the cloud, you must think again. Knowledge of requirements and knowledge of machine learning libraries.

Data Engineer 52

Data Engineer Data Engineering Engineering Generalist 52

Knowledge Hut

NOVEMBER 19, 2023

Open Source Support: Many Azure services support popular open-source frameworks like Apache Spark, Kafka, and Hadoop, providing flexibility for data engineering tasks. Top 10 Azure Data Engineer Tools I have compiled a list of the most useful Azure Data Engineer Tools here, please find them below.

Data Engineer 52

Data Engineer Data Engineering Engineering PostgreSQL 52

ProjectPro

JUNE 23, 2016

Hadoop job interview is a tough road to cross with many pitfalls, that can make good opportunities fall off the edge. One, often over-looked part of Hadoop job interview is - thorough preparation. Needless to say, you are confident that you are going to nail this Hadoop job interview. directly into HDFS or Hive or HBase.

Hadoop 40

Hadoop MySQL Relational Database Java 40

Edureka

FEBRUARY 7, 2023

One can use polybase: From Azure SQL Database or Azure Synapse Analytics, query data kept in Hadoop, Azure Blob Storage, or Azure Data Lake Store. Use a few straightforward T-SQL queries to import data from Hadoop, Azure Blob Storage, or Azure Data Lake Store without having to install a third-party ETL tool.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Lake 52

ProjectPro

JUNE 2, 2015

Before organizations rely on data driven decision making, it is important for them to have a good processing power like Hadoop in place for data processing. Thus, organizations must make use of effective ETL tools to ease the process of data preparation that requires a less complex IT infrastructure.

Big Data 40

Big Data Hadoop Banking Retail 40

Knowledge Hut

MAY 9, 2024

Skills Required Data architects must be proficient in programming languages such as Python, Java, and C++, Hadoop and NoSQL databases, predictive modeling, and data mining, and experience with data modeling tools like Visio and ERWin. Average Annual Salary of Data Architect On average, a data architect makes $165,583 annually.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

ProjectPro

JUNE 6, 2025

ETL (extract, transform, and load) techniques move data from databases and other systems into a single hub, such as a data warehouse. Get familiar with popular ETL tools like Xplenty, Stitch, Alooma, etc. Hadoop , MongoDB, and Kafka are popular Big Data tools and technologies a data engineer needs to be familiar with.

Data Engineer 49

Data Engineer Data Engineering Engineering Certification 49

ProjectPro

JULY 27, 2021

Data architects require practical skills with data management tools including data modeling, ETL tools, and data warehousing. How does Network File System (NFS) differ from Hadoop Distributed File System (HDFS)? Network File System Hadoop Distributed File System NFS can store and process only small volumes of data.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JANUARY 19, 2022

ETL (extract, transform, and load) techniques move data from databases and other systems into a single hub, such as a data warehouse. Get familiar with popular ETL tools like Xplenty, Stitch, Alooma, etc. Hadoop, MongoDB, and Kafka are popular Big Data tools and technologies a data engineer needs to be familiar with.

Data Engineer 52

Data Engineer Data Engineering Engineering Certification 52