ProjectPro

JUNE 6, 2025

Project Idea : Use the StatsBomb Open Data to study player and team performances. Build a data pipeline to ingest player and match data, clean it for inconsistencies, and transform it for analysis. Load raw data into Google Cloud Storage, preprocess it using Mage VM, and store results in BigQuery.

Data Engineer 52

Data Engineer Data Engineering Project Engineering 52

Knowledge Hut

DECEMBER 26, 2023

They should know SQL queries, SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS) and a background in Data Mining and Data Warehouse Design. They are also responsible for improving the performance of data pipelines. In other words, they develop, maintain, and test Big Data solutions.

Data Science 97

Data Science BI Data Mining Business Intelligence 97

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

JUNE 6, 2025

Analysis Layer: The analysis layer supports access to the integrated data to meet its business requirements. The data may be accessed to issue reports or to find any hidden patterns in the data. Data mining may be applied to data to dynamically analyze the information or simulate and analyze hypothetical business scenarios.

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

ProjectPro

JUNE 6, 2025

Cristiano Breuel , Senior AI Manager at Nubank, defines the role of a data scientist in one of his articles- Data Scientist: Roles and Responsibilities Here are some of the key responsibilities of a Data Scientist- Data Wrangling and Cleaning- Collect, clean, and prepare data from various sources for analysis.

Machine Learning 40

Machine Learning Computer Science Consulting Software Engineer 40

ProjectPro

JUNE 6, 2025

Among these are tools for general data manipulation like Pandas and specialized frameworks like PsychoPy. Python's three most common applications for data analysis include data mining , data processing, modeling, and visualization. Instead, they can simply import a library. and web services.

Data Analysis Tools 40

Data Analysis Tools Data Analysis BI R (Programming) 40

Knowledge Hut

NOVEMBER 28, 2023

Let us take a look at the top technical skills that are required by a data engineer first: A. Technical Data Engineer Skills 1.Python Python is ubiquitous, which you can use in the backends, streamline data processing, learn how to build effective data architectures, and maintain large data systems.

Data Engineer 52

Data Engineer Data Engineering Engineering Generalist 52

Knowledge Hut

MAY 9, 2024

They deploy and maintain database architectures, research new data acquisition opportunities, and maintain development standards. Average Annual Salary of Data Architect On average, a data architect makes $165,583 annually. They manage data storage and the ETL process.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

Silectis

JANUARY 3, 2021

Data Engineering Data engineering is a process by which data engineers make data useful. Data engineers design, build, and maintain data pipelines that transform data from a raw state to a useful one, ready for analysis or data science modeling.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. They are responsible for changing the design, development, and management of data pipelines while also managing the data sources for effective data collection.

Big Data 52

Big Data Data Engineer Data Engineering Engineering 52

ProjectPro

JUNE 6, 2025

Data Analyst Career Path - Analytic Skills You Must Hone The first step in data analytics involves acquiring the essential skills and expertise for the specific job role. Data analysts mainly collect raw data from various data sets or databases and perform data mining and wrangling processes.

Consulting 40

Consulting Healthcare Programming Language BI 40

Knowledge Hut

MARCH 22, 2024

Interested in NoSQL databases? MongoDB Careers: Overview MongoDB is one of the leading NoSQL database solutions and generates a lot of demand for experts in different fields. During the era of big data and real-time analytics, businesses face challenges, and the need for skilled MongoDB professionals has grown to an order of magnitude.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

ProjectPro

JUNE 6, 2025

Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use. Data infrastructure, data warehousing, data mining, data modeling, etc.,

Data Engineer 40

Data Engineer Data Engineering Engineering Certification 40

Knowledge Hut

MARCH 27, 2024

Qubole Using ad-hoc analysis in machine learning, it fetches data from a value chain using open-source technology for big data analytics. Qubole provides end-to-end services in moving data pipelines with reduced time and effort. Multi-source data can be migrated to one location through this tool.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

DECEMBER 21, 2023

In this article, we will understand the promising data engineer career outlook and what it takes to succeed in this role. What is Data Engineering? Data engineering is the method to collect, process, validate and store data. It involves building and maintaining data pipelines, databases, and data warehouses.

Data Engineer 52

Data Engineer Data Engineering Engineering MongoDB 52

ProjectPro

JANUARY 19, 2022

Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use. Data infrastructure, data warehousing, data mining, data modeling, etc.,

Data Engineer 52

Data Engineer Data Engineering Engineering Certification 52

Knowledge Hut

MAY 23, 2024

KNIME: KNIME is another widely used open-source and free data science tool that helps in data reporting, data analysis, and data mining. With this tool, data science professionals can quickly extract and transform data.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

Knowledge Hut

SEPTEMBER 6, 2023

Once the data is tailored to your requirements, it then should be stored in a warehouse system, where it can be easily used by applying queries. Some of the most popular database management tools in the industry are NoSql, MongoDB and oracle.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

Knowledge Hut

JULY 3, 2023

Real-time Data ingestion performs the utilization of data from various origins, does the data cleaning, validation, and preprocessing operations and at the end store it in the required format, either structured or unstructured. As real-time insights gain popularity, real-time data ingestion remains vital for companies worldwide.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

Knowledge Hut

NOVEMBER 16, 2023

DynamoDB: In order to handle distributed replicas of data for high availability, DynamoDB is a scalable NoSQL data store. ElastiCache: With ElastiCache, we may access data from an in-memory caching system, which enhances application speed. Data pipeline: It facilitates the transfer of data between services.

AWS 52

AWS Amazon Web Services Cloud Computing Cloud Storage 52

Knowledge Hut

JANUARY 22, 2024

Business Analytics For those interested in leveraging data science for business objectives, these courses teach skills like statistical analysis, data mining, optimization and data visualization to derive actionable insights. Capstone projects involve analyzing company data to drive business strategy and decisions.

Data Science 52

Data Science Certification Education Data Lake 52

Knowledge Hut

SEPTEMBER 6, 2023

Statistical Knowledge : It is vital to be familiar with statistical procedures and techniques in order to assess data and form trustworthy conclusions. Data Mining and ETL : For gathering, transforming, and integrating data from diverse sources, proficiency in data mining techniques and Extract, Transform, Load (ETL) processes is required.

Big Data 52

Big Data Certification Hadoop Kafka 52

ProjectPro

AUGUST 11, 2021

Analysis Layer: The analysis layer supports access to the integrated data to meet its business requirements. The data may be accessed to issue reports or to find any hidden patterns in the data. Data mining may be applied to data to dynamically analyze the information or simulate and analyze hypothetical business scenarios.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

JUNE 6, 2025

How small file problems in streaming can be resolved using a NoSQL database. What is Data Engineering ? Utilizing the Yelp Dataset Implementing Data Processing Tools Benefits of choosing an online system over a batch system. Extracting data from APIs using Python. Uploading the data on HDFS.

Hadoop 40

Hadoop Project Big Data Media 40

ProjectPro

APRIL 20, 2017

How small file problems in streaming can be resolved using a NoSQL database. What is Data Engineering? Utilizing the Yelp Dataset Implementing Data Processing Tools Benefits of choosing an online system over a batch system. Fetching data through Apache Hadoop. Extracting data from APIs using Python.

Hadoop 40

Hadoop Big Data Coding Project 40