ProjectPro

JUNE 6, 2025

Discover different types of LLM data analysis agents, learn how to build your own, and explore the steps on how to create an LLM-powered data analysis agent that processes market data, analyzes trends, and generates valuable insights for cryptocurrency traders and investors. Let’s get into it!

Data Analysis 40

Data Analysis Building Raw Data Machine Learning 40

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

JUNE 6, 2025

Read this blog to know how various data-specific roles, such as data engineer, data scientist, etc., differ from ETL developer and the additional skills you need to transition from ETL developer to data engineer job roles. Data analysis and visualization have traditionally been a common goal for businesses.

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

RandomTrees

NOVEMBER 25, 2024

Generative AI employs ML and deep learning techniques in data analysis on larger datasets, resulting in produced content that has a creative touch but is also relevant. Moving forward, such data analysis allowed the model to predict the probability of customers leaving within the next six-month period with great accuracy.

Telecommunication 52

Telecommunication IT Unstructured Data Data Mining 52

ProjectPro

JUNE 6, 2025

3 Reasons to Use AI in Data Analytics Traditional data analysis methods are struggling to keep up. With so much new data pouring in every second, missing what matters is easy. Manual Data Processing Slows Down Everything Manual data processing has long been a bottleneck when trying to analyze historical data.

Data Analytics 40

Data Analytics Unstructured Data BI Datasets 40

ProjectPro

JUNE 6, 2025

In this article, you will explore one such exciting solution for handling data in a better manner through AWS Athena , a serverless and low-maintenance tool for simplifying data analysis tasks with the help of simple SQL commands. It is a serverless big data analysis tool. Let us explore those challenges quickly.

AWS 67

AWS SQL Big Data Raw Data 67

ProjectPro

JUNE 6, 2025

You will perform just like a data engineer during the self-paced online courses and learn the fundamental skills needed to work with various tools and relational databases to develop, deploy, and manage organized and unstructured data. You will use SQL statements to query data in Relational Database Management Systems (RDBMS).

Data Engineer 58

Data Engineer Data Engineering Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

Data is often referred to as the new oil, and just like oil requires refining to become useful fuel, data also needs a similar transformation to unlock its true value. This transformation is where data warehousing tools come into play, acting as the refining process for your data. Why Choose a Data Warehousing Tool?

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

Analytics Vidhya

FEBRUARY 28, 2024

Introduction Data is fuel for the IT industry and the Data Science Project in today’s online world. IT industries rely heavily on real-time insights derived from streaming data sources. Handling and processing the streaming data is the hardest work for Data Analysis.

MongoDB 222

MongoDB Data Pipeline Kafka Building 222

KDnuggets

MAY 15, 2023

Mojo Lang: The New Programming Language • Stop Doing this on ChatGPT and Get Ahead of the 99% of its Users • 3 Ways to Access GPT-4 for Free • 8 Open-Source Alternative to ChatGPT and Bard • Exploratory Data Analysis Techniques for Unstructured Data

Programming Language 108

Programming Language Programming Unstructured Data Data Analysis 108

ProjectPro

JUNE 6, 2025

Volume refers to the amount of data being ingested; Velocity refers to the speed of arrival of data in the pipeline; Variety refers to different types of data, such as structured and unstructured data. Why do you need a Data Ingestion Layer in a Data Engineering Project? application logs).

Data Ingestion 45

Data Ingestion Data Engineer Data Engineering Project 45

ProjectPro

JUNE 6, 2025

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment.

ETL Tools 40

ETL Tools Hadoop Relational Database Unstructured Data 40

ProjectPro

JUNE 6, 2025

The term "intelligence" in AI refers to computer intelligence, whereas "intelligence" in BI refers to more intelligent business decision-making that data analysis and visualization may provide. AI can help BI tools provide clear, actionable insights from the study data. Individual data analysis takes a long time.

Business Intelligence 56

Business Intelligence BI Data Mining Raw Data 56

ProjectPro

JUNE 6, 2025

So, have you been wondering what happens to all the data collected from different sources, logs on your machine, data generated from your mobile, data in databases, customer data, and so on? We can do a lot of data analysis and produce visualizations to deliver value from these data sources.

Data Science 40

Data Science Data Engineer Data Engineering Engineering 40

Data Engineering Podcast

JUNE 19, 2022

Summary Data analysis is a valuable exercise that is often out of reach of non-technical users as a result of the complexity of data systems. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.

Metadata 130

Metadata Unstructured Data MongoDB MySQL 130

ProjectPro

JUNE 6, 2025

It is helpful for data analysis and manipulation tasks in Data Science and is ideal for dealing with numerical tables and data in time series. The Pandas library has flexible data structures that allow for efficient data manipulation and make it easier to represent data, improving data analysis.

Data Science 40

Data Science Hadoop Unstructured Data Machine Learning 40

Snowflake

APRIL 20, 2023

In doing so, without compromising security or governance, we enable customers and partners to bring the power of LLMs to the data to help achieve two things: make enterprises smarter about their data and enhance user productivity in secure and scalable ways. Figure 1: Visual Question Answering Challenge data types and results.

Building 140

Building Unstructured Data Government Data 140

ProjectPro

JUNE 6, 2025

Data Architect Job Description Identify data sources, and develop a data management strategy that aligns with the organization's processes. Examine pre-existing data management techniques, tools, and methods. Create new data models for better data analysis. Understanding of Data modeling tools (e.g.,

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

The auto-replication of BigQuery across international data centers is one of its key benefits, significantly reducing the possibility of service outages and downtime. Key Tools Snowflake offers a comprehensive collection of tools to manage every aspect of data input, transformation, and analytics, including unstructured data.

Data Warehouse 40

Data Warehouse Cloud Google Cloud Cloud Storage 40

ProjectPro

JUNE 6, 2025

Redshift Project for Data Analysis with Amazon Quicksight 2.Amazon Using Airflow for Building and Monitoring the Data Pipeline of Amazon Redshift 4. Redshift Project for Data Analysis with Amazon Quicksight Today, businesses generate a massive amount of structured and unstructured data from their business operations.

Data Pipeline 64

Data Pipeline AWS Project Building 64

ProjectPro

JUNE 6, 2025

Ready to take your big data analysis to the next level? Check out this comprehensive tutorial on Business Intelligence on Hadoop and unlock the full potential of your data! million terabytes of data are generated daily. Both structured and unstructured data in distributed file systems.

BI 40

BI Hadoop Big Data Business Intelligence 40

ProjectPro

JUNE 6, 2025

ETL is essential in the healthcare sector to export data from one source, often an EHR, and transform it into a format compatible with the target database's structure, where the data will be stored, either for future reference or delivered in a presentation-ready format.

BI 45

BI ETL Tools Retail Healthcare 45

ProjectPro

JUNE 6, 2025

This improves efficiency and reduces the need for extensive post-processing or manual intervention, making the use of LLMs essential for industries that rely on high-quality data from web sources. Role of LLMs for Web Scraping LLMs are adept at handling unstructured data and transforming it into meaningful insights.

Project 40

Project Unstructured Data Raw Data Python 40

Snowflake

MAY 8, 2025

Snowflake Cortex AI Snowflake Cortex AI is a suite of integrated features and services that include fully managed LLM inference, fine-tuning and RAG for structured and unstructured data, so that customers can quickly analyze unstructured data alongside their structured data and expedite the building of AI apps.

Unstructured Data 98

Unstructured Data Government Coding Structured Data 98

ProjectPro

APRIL 17, 2015

This articles explores four latest trends in big data analytics that are driving implementation of cutting edge technologies like Hadoop and NoSQL. The big data analytics market in 2015 will revolve around the Internet of Things (IoT), Social media sentiment analysis, increase in sensor driven wearables, etc.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

Edureka

MAY 8, 2025

These are the ways that data engineering improves our lives in the real world. The field of data engineering turns unstructured data into ideas that can be used to change businesses and our lives. Data engineering can be used in any way we can think of in the real world because we live in a data-driven age.

Data Engineer 52

Data Engineer Data Engineering Engineering Telecommunication 52

ProjectPro

MAY 23, 2015

Use market basket analysis to classify shopping trips Walmart Data Analyst Interview Questions Walmart Hadoop Interview Questions Walmart Data Scientist Interview Question American multinational retail giant Walmart collects 2.5 petabytes of unstructured data from 1 million customers every hour.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

JUNE 6, 2025

Data Engineer Interview Questions on Big Data Any organization that relies on data must perform big data engineering to stand out from the crowd. But data collection, storage, and large-scale data processing are only the first steps in the complex process of big data analysis.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

This conversion is called data transformation, and it involves transforming raw data into a format such as ".csv", csv", which is compatible with data analytics tools. Exploratory Data Analysis The next step in data preparation is analyzing the data. What are the steps in data preparation?

Data Preparation 45

Data Preparation Machine Learning Project IT 45

ProjectPro

JUNE 6, 2025

Big data analytics market is expected to be worth $103 billion by 2023. We know that 95% of companies cite managing unstructured data as a business problem. of companies plan to invest in big data and AI. million managers and data analysts with deep knowledge and experience in big data. While 97.2%

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

ProjectPro

JUNE 6, 2025

1) Build an Uber Data Analytics Dashboard This data engineering project idea revolves around analyzing Uber ride data to visualize trends and generate actionable insights. Reddit, being a vast community-driven platform, provides a rich data source for extracting valuable insights.

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

Data Engineering Weekly

JUNE 24, 2024

A few highlights from the report Unstructured data goes mainstream. The blog details the classification model, training approach and historical data analysis. Learn More → Redpoint: The InfraRed Report The impact of macroeconomic slowness results in increased focus on prioritizing reduced infrastructure spending.

Data Engineer 109

Data Engineer Data Engineering Engineering Google Cloud 109

ProjectPro

JUNE 6, 2025

This may involve learning programming languages like Python or R, gaining data mining and cleaning experience, working with large and complex datasets, and developing a foundation in statistics, machine learning algorithms, and data analysis techniques. Uses statistical and computational methods to analyze and interpret data.

Business Analyst 40

Business Analyst Data Mining Portfolio Programming Language 40

Data Engineering Weekly

MARCH 5, 2025

The Catalog Conundrum: Beyond Structured Data The role of the catalog is evolving. Initially, catalogs focused on managing metadata for structured data in Iceberg tables. However, the vision is expanding to encompass unstructured data (images, videos, audio) and AI models.

Hadoop 57

Hadoop Metadata Data Ingestion Data Governance 57

ProjectPro

JUNE 6, 2025

Microsoft offers Azure Data Lake, a cloud-based data storage and analytics solution. It is capable of effectively handling enormous amounts of structured and unstructured data. Therefore, it is a popular choice for organizations that need to process and analyze big data files.

Data Lake 40

Data Lake Amazon Web Services Data Warehouse SQL 40

Data Engineering Weekly

OCTOBER 11, 2024

Centralized factories and monolithic data systems became too rigid and expensive to scale, unable to cope with the increasing complexity of manufacturing and the explosion of diverse, unstructured data in the digital age.

Manufacturing 109

Manufacturing Transportation Data Warehouse Unstructured Data 109

ProjectPro

JUNE 6, 2025

Security and Data Privacy Big Data Developers work closely with data protection officers to implement robust security measures, encryption, and access controls to safeguard data. Analysis of Vast Data Stores Big Data Developers use data mining and analysis tools to analyze vast and diverse data stores.

Big Data 40

Big Data Hadoop Scala NoSQL 40