AltexSoft

MAY 14, 2021

Modern technologies allow gathering both structured (data that comes in tabular formats mostly) and unstructured data (all sorts of data formats) from an array of sources including websites, mobile applications, databases, flat files, customer relationship management systems (CRMs), IoT sensors, and so on.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

SEPTEMBER 26, 2021

Data Warehousing: Data warehouses store massive pieces of information for querying and data analysis. Your organization will use internal and external sources to port the data. You must be aware of Amazon Web Services (AWS) and the data warehousing concept to effectively store the data sets.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

NOVEMBER 28, 2023

Data Pipelines Data lakes continue to get new names in the same year, and it becomes imperative for data engineers to supplement their skills with data pipelines that help them work comprehensively with real-time streams, daily occurrence raw data, and data warehouse queries.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

ProjectPro

SEPTEMBER 16, 2021

It is designed to handle large files, data sets , machine learning models, metrics, and code. ButterFree : A tool to build feature stores to help transform raw data into feature stores. It is used to build ETL pipelines for Feature Stores using Apache Spark.

Project 52

Project Amazon Web Services Machine Learning Data Science 52

Knowledge Hut

APRIL 23, 2024

Big Data Use Cases in Banking and Financial Services Fraud Detection and Prevention: By examining vast amounts of transaction data and looking for patterns and anomalies suggestive of possible fraud, big data analytics assists banks and financial organizations in finding fraudulent activity.

Big Data 52

Big Data Recruitment Retail Transportation 52

ProjectPro

AUGUST 24, 2021

Within no time, most of them are either data scientists already or have set a clear goal to become one. Nevertheless, that is not the only job in the data world. And, out of these professions, this blog will discuss the data engineering job role.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JANUARY 31, 2022

Provides Powerful Computing Resources for Data Processing Before inputting data into advanced machine learning models and deep learning tools, data scientists require sufficient computing resources to analyze and prepare it. Amazon Web Services , Google Cloud Platform, and Microsoft Azure support Snowflake.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

AUGUST 18, 2021

By the end of 2022, the industry will experience a huge demand for data analysts, data scientists, and BI professionals with decent Tableau knowledge. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects Basic Tableau Interview Questions 1. Tableau Server Interview Questions 14.

BI 40

BI SQL Database-centric Software Engineering 40

ProjectPro

APRIL 12, 2021

It is a deep learning process where a model gets raw data as the input and all the various parts are trained simultaneously to produce the desired outcome with no intermediate tasks. GPT3 can also do everything from creating spreadsheets to building complex CSS or even deploying Amazon Web Services (AWS) instances.

Deep Learning 40

Deep Learning Datasets Machine Learning Algorithm 40

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. How do you Create a Good Big Data Project?

Big Data 52

Big Data Coding Project Hadoop 52