Knowledge Hut

NOVEMBER 17, 2023

Azure Data Engineers play an important role in building efficient, secure, and intelligent data solutions on Microsoft Azure's powerful platform. The position of Azure Data Engineers is becoming increasingly important as businesses attempt to use the power of data for strategic decision-making and innovation.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Lake 52

DataKitchen

OCTOBER 11, 2021

The final step is designing a data solution and its implementation. The biggest challenge is broken data pipelines due to highly manual processes. The data engineer then emails the BI Team, who refreshes a Tableau dashboard. Figure 1: Example data pipeline with manual processes. List of Challenges.

Engineering 61

Engineering Business Analyst BI Metadata 61

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 49

Data Engineer Data Engineering Engineering Certification 49

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

ProjectPro

MARCH 14, 2014

Online FM Music 100 nodes, 8 TB storage Calculation of charts and data testing 16 IMVU Social Games Clusters up to 4 m1.large Hadoop is used at eBay for Search Optimization and Research. 12 Cognizant IT Consulting Per client requirements Client projects in finance, telecom and retail.

Hadoop 40

Hadoop Big Data Data Mining Consulting 40

Monte Carlo

JANUARY 24, 2024

Below are three levers you can pull to improve efficiency for your data systems, your data teams, and your data consumers. System optimization — The cost of almost all modern data solutions is based on usage. In other words, how effectively has the data team enabled your data consumers?

Data 69

Data Aggregated Data Machine Learning Data Mining 69

Knowledge Hut

SEPTEMBER 6, 2023

As far as modeling techniques are concerned, the course covers the concept of Machine Learning, Deep Learning, Econometrics, Advanced Data Science , Basic and Advanced Statistics along with modules on Data Mining Strategies. Some additional topics covered by this course are Cloud Data Solutioning and ML Automating ML Pipelining.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

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

Rockset

JULY 25, 2019

This type of analytics, like others, involves the use of various data mining and data aggregation tools to get more transparent information for business planning. To avoid these types of errors, OLAP database are fronted by a data pipeline that cleans and validates every new record before it is inserted to the database.

Software Engineer 40

Software Engineer Software Engineering Engineering PostgreSQL 40

ProjectPro

MAY 31, 2021

Below is a list of Big Data project ideas and an idea of the approach you could take to develop them; hoping that this could help you learn more about Big Data and even kick-start a career in Big Data. In that case, you must inform the warehouse team to check the stock availability and commit to fulfilling the order.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

JUNE 6, 2025

Here are some exciting project ideas and data analysis examples to help you apply theoretical knowledge and create impactful projects. 1) Market Basket Analysis Market Basket Analysis is a data mining technique that data scientists use to better understand customers and correspondingly increase sales.

Data Analytics 40

Data Analytics Project Insurance Datasets 40