ProjectPro

JUNE 6, 2025

The low-cost storage feature of Hadoop allows you to store data, even unstructured data like text, photos, and video, and then figure out what to do with it later. RapidMiner Studio is a visual data science pipeline builder that speeds up prototyping and model validation.

Data Science 40

Data Science Hadoop Unstructured Data Machine Learning 40

ProjectPro

JUNE 6, 2025

Project Idea: Start data engineering pipeline by sourcing publicly available or simulated Uber trip datasets, for example, the TLC Trip record dataset.Use Python and PySpark for data ingestion, cleaning, and transformation. This project will help analyze user data for actionable insights.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

Exploratory Data Analysis (EDA)- Data exploration is essential for the predictive modeling process. You gather critical data and summarize it by recognizing patterns or trends. EDA is the final step in your data preparation phase. As the name suggests, the hidden layer hides the functions that build predictors.

Data Mining 45

Data Mining Banking Retail Healthcare 45

AltexSoft

MAY 12, 2022

Particularly, we’ll explain how to obtain audio data, prepare it for analysis, and choose the right ML model to achieve the highest prediction accuracy. But first, let’s go over the basics: What is the audio analysis, and what makes audio data so challenging to deal with. Audio data file formats. Free data sources.

Machine Learning 122

Machine Learning Building Deep Learning Healthcare 122

ProjectPro

JUNE 6, 2025

Characteristics of a Data Science Pipeline Data Science Pipeline Workflow Data Science Pipeline Architecture Building a Data Science Pipeline - Steps Data Science Pipeline Tools 5 Must-Try Projects on Building a Data Science Pipeline Master Building Data Pipelines with ProjectPro!

Data Science 40

Data Science Building AWS Data Lake 40

ProjectPro

JUNE 6, 2025

The fusion of data science and cloud computing has given rise to a new breed of professionals – AWS Data Scientists. With organizations relying on data to fuel their decisions, the need for adept professionals capable of extracting valuable insights from extensive datasets is rising.

AWS 40

AWS Amazon Web Services Cloud Computing Machine Learning 40

ProjectPro

JUNE 6, 2025

About 48% of companies now leverage AI to effectively manage and analyze large datasets, underscoring the technology's critical role in modern data utilization strategies. Here is a post by Lekhana Reddy , an AI Transformation Specialist, to support the relevance of AI in Data Analytics.

Data Analytics 40

Data Analytics Healthcare Datasets Machine Learning 40

AltexSoft

MAY 27, 2022

The tool processes both structured and unstructured data associated with patients to evaluate the likelihood of their leaving for a home within 24 hours. Data preparation for LOS prediction. As with any ML initiative, everything starts with data. Inpatient data anonymization. Syntegra synthetic data.

Hospitality 98

Hospitality Medical Healthcare Insurance 98

ProjectPro

JUNE 6, 2025

Several big data companies are looking to tame the zettabyte’s of BIG big data with analytics solutions that will help their customers turn it all in meaningful insights. Big data engineers at Palantir are driven by the mission of empowering enterprises to make sense of their data to solve the most persistent problems.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

ProjectPro

JUNE 6, 2025

Their role involves data extraction from multiple databases, APIs, and third-party platforms, transforming it to ensure data quality, integrity, and consistency, and then loading it into centralized data storage systems. AWS Glue offers scalability, high performance, and the ability to handle large datasets seamlessly.

Data Engineering 40

Data Engineering Data Engineer Engineering ETL Tools 40

ProjectPro

JUNE 6, 2025

Data Scientists certified in Snowflake can leverage its capabilities to derive valuable insights and build advanced data-driven solutions. Data Analysts certified in Snowflake possess the skills to effectively explore and analyze data, providing valuable insights to drive informed decision-making.

Certification 40

Certification Data Pipeline Hadoop AWS 40

ProjectPro

JUNE 6, 2025

Key Components of Batch Data Pipeline Architecture The batch data pipeline architecture consists of several key components and follows the below typical batch data pipeline workflow across systems - Data Source- This is where your data originates.

Data Pipeline 40

Data Pipeline Building Retail Data Ingestion 40

ProjectPro

FEBRUARY 8, 2023

Scale Existing Python Code with Ray Python is popular among data scientists and developers because it is user-friendly and offers extensive built-in data processing libraries. For analyzing huge datasets, they want to employ familiar Python primitive types. Glue works absolutely fine with structured as well as unstructured data.

AWS 98

AWS Scala Metadata Data Lake 98

ProjectPro

JUNE 6, 2025

Data Analysis Tools- How does Big Data Analytics Benefit Businesses? Big data is much more than just a buzzword. 95 percent of companies agree that managing unstructured data is challenging for their industry. Big data analysis tools are particularly useful in this scenario.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

The various steps involved in the data analysis process include – Data Exploration – Having identified the business problem, a data analyst has to go through the data provided by the client to analyse the root cause of the problem. 5) What is data cleansing?

Data Mining 40

Data Mining Data Cleanse Datasets Hadoop 40

AltexSoft

MAY 14, 2021

As you now know the key characteristics, it gets clear that not all data can be referred to as Big Data. What is Big Data analytics? Big Data analytics is the process of finding patterns, trends, and relationships in massive datasets that can’t be discovered with traditional data management techniques and tools.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

JUNE 6, 2025

Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments. Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineering 49

Data Engineering Data Engineer Engineering Certification 49

Knowledge Hut

JANUARY 25, 2024

What is Data Cleaning? Data cleaning, also known as data cleansing, is the essential process of identifying and rectifying errors, inaccuracies, inconsistencies, and imperfections in a dataset. It involves removing or correcting incorrect, corrupted, improperly formatted, duplicate, or incomplete data.

Data Cleanse 52

Data Cleanse Datasets Data Preparation Aggregated Data 52

ProjectPro

JUNE 6, 2025

Due to the enormous amount of data being generated and used in recent years, there is a high demand for data professionals, such as data engineers, who can perform tasks such as data management, data analysis, data preparation, etc. The rest of the exam details are the same as the DP-900 exam.

Certification 40

Certification Data Engineering Data Engineer Engineering 40

ProjectPro

JANUARY 31, 2023

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 52

Big Data Hadoop Relational Database AWS 52

AltexSoft

FEBRUARY 21, 2023

For machine learning algorithms to predict prices accurately, people who do the data preparation must consider these factors and gather all this information to train the model. Data relevance. Data sources In developing hotel price prediction models, gathering extensive data from different sources is crucial.

Hospitality 52

Hospitality Algorithm Machine Learning Datasets 52

ProjectPro

JANUARY 19, 2022

Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments. Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineering 52

Data Engineering Data Engineer Engineering Certification 52

AltexSoft

DECEMBER 15, 2021

Namely, AutoML takes care of routine operations within data preparation, feature extraction, model optimization during the training process, and model selection. In the meantime, we’ll focus on AutoML which drives a considerable part of the MLOps cycle, from data preparation to model validation and getting it ready for deployment.

Machine Learning 59

Machine Learning Deep Learning Telecommunication Algorithm 59

Knowledge Hut

JANUARY 30, 2024

In summary, data extraction is a fundamental step in data-driven decision-making and analytics, enabling the exploration and utilization of valuable insights within an organization's data ecosystem. What is the purpose of extracting data? The process of discovering patterns, trends, and insights within large datasets.

Database-centric 52

Database-centric ETL Tools Data Mining Data Cleanse 52

Edureka

MAY 27, 2025

How does AWS Glue handle schema inference during the ETL process, and why is it beneficial in data engineering workflows? AWS Glue can automatically determine the schema of semi-structured and unstructured data throughout the ETL process. It streamlines the handling of various data formats and structures within ETL workflows.

AWS 40

AWS Data Engineering Data Engineer Engineering 40

Snowflake

JUNE 28, 2023

Snowpark is our secure deployment and processing of non-SQL code, consisting of two layers: Familiar Client Side Libraries – Snowpark brings deeply integrated, DataFrame-style programming and OSS compatible APIs to the languages data practitioners like to use.

Accessible 52

Accessible Accessibility Python Pipeline-centric 52

ProjectPro

AUGUST 9, 2021

Top 20 Python Projects for Data Science Without much ado, it’s time for you to get your hands dirty with Python Projects for Data Science and explore various ways of approaching a business problem for data-driven insights. 1) Music Recommendation System on KKBox Dataset Music in today’s time is all around us.

Data Science 52

Data Science Python Project Datasets 52

Knowledge Hut

JUNE 20, 2023

They transform unstructured data into scalable models for data science. Data Engineer vs Machine Learning Engineer: Responsibilities Data Engineer Responsibilities: Analyze and organize unstructured data Create data systems and pipelines. When necessary, train and retrain systems.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

AltexSoft

MARCH 30, 2023

This way, Delta Lake brings warehouse features to cloud object storage — an architecture for handling large amounts of unstructured data in the cloud. Source: The Data Team’s Guide to the Databricks Lakehouse Platform Integrating with Apache Spark and other analytics engines, Delta Lake supports both batch and stream data processing.

Scala 64

Scala Data Lake BI Google Cloud 64

ProjectPro

AUGUST 24, 2021

Explore different types of Data Formats: A data engineer works with various dataset formats like.csv,josn,xlx, etc. They are also often expected to prepare their dataset by web scraping with the help of various APIs. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

DECEMBER 22, 2016

The various steps involved in the data analysis process include – Data Exploration – Having identified the business problem, a data analyst has to go through the data provided by the client to analyse the root cause of the problem. 5) What is data cleansing?

Data Mining 52

Data Mining Data Cleanse Datasets Hadoop 52

U-Next

AUGUST 11, 2022

Deep Learning is an AI Function that involves imitating the human brain in processing data and creating patterns for decision-making. It’s a subset of ML which is capable of learning from unstructured data. Why Should You Pursue A Career In Artificial Intelligence? There are excellent career opportunities in AI.

Medical 52

Medical Computer Science Scala Machine Learning 52

Knowledge Hut

SEPTEMBER 26, 2023

Organizations can harness the power of the cloud, easily scaling resources up or down to meet their evolving data processing demands. Supports Structured and Unstructured Data: One of Azure Synapse's standout features is its versatility in handling a wide array of data types.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

ProjectPro

AUGUST 11, 2016

R programming language is the preferred choice amongst data analysts and data scientists because of its rich ecosystem catering to the essential ingredients of a big data project- data preparation , analysis and correlation tasks.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

ProjectPro

MAY 20, 2015

Several big data companies are looking to tame the zettabyte’s of BIG big data with analytics solutions that will help their customers turn it all in meaningful insights. Big data engineers at Palantir are driven by the mission of empowering enterprises to make sense of their data to solve the most persistent problems.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

Knowledge Hut

MAY 9, 2024

Responsibilities BI analysts are responsible for studying industry trends, analyzing company data to identify business strategy trends, developing action plans, and preparing reports. Average Annual Salary of Business Intelligent Analyst A business intelligence analyst earns $87,646 annually, on average.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

ProjectPro

JUNE 6, 2025

Use ETL is used for on-premises, relational and structured data. ELT is used for cloud-scale structured and unstructured data sources. Data lake support ETL doesn’t provide data lake support. ELT provides data lake support. Data volume ETL is Ideal for small datasets.

ETL Tools 40

ETL Tools Database-centric Data Warehouse ETL System 40