ProjectPro

JUNE 6, 2025

Want to process peta-byte scale data with real-time streaming ingestions rates, build 10 times faster data pipelines with 99.999% reliability, witness 20 x improvement in query performance compared to traditional data lakes, enter the world of Databricks Delta Lake now. They handled the arrival of Big data with ease.

Data Lake 63

Data Lake Data Warehouse Metadata Unstructured Data 63

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 Data Lake Hadoop 59

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. Standard SQL support for querying.

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

Snowflake

MARCH 19, 2025

Explore AI and unstructured data processing use cases with proven ROI: This year, retailers and brands will face intense pressure to demonstrate tangible returns on their AI investments.

Media 96

Media Retail Entertainment Unstructured Data 96

Monte Carlo

OCTOBER 31, 2024

Key Differences Between AI Data Engineers and Traditional Data Engineers While traditional data engineers and AI data engineers have similar responsibilities, they ultimately differ in where they focus their efforts. Let’s dive into the tools necessary to become an AI data engineer. Let’s examine a few.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

Edureka

AUGUST 2, 2023

Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. Let’s take a deep dive into the subject and look at what we’re about to study in this blog: Table of Contents What Is Data Processing Analysis?

Data Process 52

Data Process Process Data Cleanse Data Mining 52

ProjectPro

JUNE 6, 2025

This influx of data and surging demand for fast-moving analytics has had more companies find ways to store and process data efficiently. This is where Data Engineers shine! Data Ingestion is usually the first step in the data engineering project lifecycle.

Data Ingestion 45

Data Ingestion Data Engineer Data Engineering Project 45

ProjectPro

JUNE 6, 2025

In 2023, more than 5140 businesses worldwide have started using AWS Glue as a big data tool. For e.g., Finaccel, a leading tech company in Indonesia, leverages AWS Glue to easily load, process, and transform their enterprise data for further processing. AWS Glue automates several processes as well.

AWS 66

AWS Scala Metadata Data Lake 66

ProjectPro

JUNE 6, 2025

A data engineer a technical job role that falls under the umbrella of jobs related to big data. The job of data engineers typically is to bring in raw data from different sources and process it for enterprise-grade applications. And data engineers are the ones that are likely to lead the whole process.

Data Engineer 58

Data Engineer Data Engineering Engineering Amazon Web Services 58

Snowflake

JULY 10, 2023

Announced at Summit, we’ve recently added to Snowpark the ability to process files programmatically, with Python in public preview and Java generally available. Data engineers and data scientists can take advantage of Snowflake’s fast engine with secure access to open source libraries for processing images, video, audio, and more.

Unstructured Data 40

Unstructured Data Python Process Scala 40

Data Engineering Weekly

FEBRUARY 9, 2025

[link] QuantumBlack: Solving data quality for gen AI applications Unstructured data processing is a top priority for enterprises that want to harness the power of GenAI. It brings challenges in data processing and quality, but what data quality means in unstructured data is a top question for every organization.

Data Engineer 57

Data Engineer Data Engineering Engineering Unstructured Data 57

ProjectPro

JUNE 6, 2025

In the thought process of making a career transition from ETL developer to data engineer job roles? Read this blog to know how various data-specific roles, such as data engineer, data scientist, etc., Python) to automate or modify some processes. billion to USD 87.37 billion in 2025.

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

Snowflake

FEBRUARY 13, 2025

Lastly, companies have historically collaborated using inefficient and legacy technologies requiring file retrieval from FTP servers, API scraping and complex data pipelines. These processes were costly and time-consuming and also introduced governance and security risks, as once data is moved, customers lose all control.

Management 93

Management Government Cloud Unstructured Data 93

ProjectPro

JUNE 6, 2025

That's where the role of Netflix Data Engineers comes in. They ensure the data collected from your watching history, searches, and ratings is processed seamlessly, creating a personalized viewing experience. petabytes of data. Have you ever wondered how Netflix tailors recommendations based on your preferences?

Data Engineer 40

Data Engineer Data Engineering Engineering NoSQL 40

phData: Data Engineering

NOVEMBER 8, 2024

Open Table Format (OTF) architecture now provides a solution for efficient data storage, management, and processing while ensuring compatibility across different platforms. These systems are built on open standards and offer immense analytical and transactional processing flexibility. Why should we use it?

Architecture 52

Architecture Systems Data Lake Google Cloud 52

ProjectPro

JUNE 6, 2025

This explosive growth in online content has made web scraping essential for gathering data, but traditional scraping methods face limitations in handling unstructured information. Web scraping typically extracts raw data, which often requires manual cleaning and processing. With an LLM, this becomes significantly simpler.

Project 40

Project Unstructured Data Raw Data Python 40

ProjectPro

JUNE 6, 2025

AI in data analytics refers to the use of AI tools and techniques to extract insights from large and complex datasets faster than traditional analytics methods. Instead of spending hours cleaning data or manually looking for trends, it uses advanced machine learning and AI algorithms to automate the process. The result?

Data Analytics 40

Data Analytics Unstructured Data BI Datasets 40

ProjectPro

JUNE 6, 2025

Apache Hive and Apache Spark are the two popular Big Data tools available for complex data processing. To effectively utilize the Big Data tools, it is essential to understand the features and capabilities of the tools. Apache Spark , on the other hand, is an analytics framework to process high-volume datasets.

Hadoop 45

Hadoop Java Big Data Tools SQL 45

Snowflake

JUNE 1, 2025

Fully managed within Snowflakes secure perimeter, these capabilities enable business users and data scientists to turn structured and unstructured data into actionable insights, without complex tooling or infrastructure. Model Context Protocol (MCP) provides an open standard for connecting AI systems with data sources.

Unstructured Data 90

Unstructured Data Google Cloud Government AWS 90

ProjectPro

JUNE 6, 2025

What industry is big data developer in? What is a Big Data Developer? A Big Data Developer is a specialized IT professional responsible for designing, implementing, and managing large-scale data processing systems that handle vast amounts of information, often called "big data." Billion by 2026.

Big Data 40

Big Data Hadoop Scala NoSQL 40

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

This blog will help you understand what data engineering is with an exciting data engineering example, why data engineering is becoming the sexier job of the 21st century is, what is data engineering role, and what data engineering skills you need to excel in the industry, Table of Contents What is Data Engineering?

Data Science 40

Data Science Data Engineer Data Engineering Engineering 40

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

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

Source: Microsoft The primary purpose of a data lake is to provide a scalable, cost-effective solution for storing and analyzing diverse datasets. It allows organizations to access and process data without rigid transformations, serving as a foundation for advanced analytics, real-time processing, and machine learning models.

Data Lake 40

Data Lake Building Hadoop Raw Data 40

Snowflake

MAY 27, 2025

Historically, we moved from paper records to digital data and data storage systems, then to SQL-enabled data access, which is powerful but requires technical expertise, preventing marketers from having direct access to data. In this process, marketers had to use natural language to make requests in IT ticketing systems.

Unstructured Data 93

Unstructured Data Government SQL Programming Language 93

ProjectPro

JUNE 6, 2025

If you are willing to gain hands-on experience with Google BigQuery , you must explore the GCP Project to Learn using BigQuery for Exploring Data. Google Cloud Dataproc Dataproc is a fully-managed and scalable Spark and Hadoop Service that supports batch processing, querying, streaming, and machine learning.

Data Engineer 40

Data Engineer Data Engineering Engineering Google Cloud 40

ProjectPro

JUNE 6, 2025

A data architect, in turn, understands the business requirements, examines the current data structures, and develops a design for building an integrated framework of easily accessible, safe data aligned with business strategy. Table of Contents What is a Data Architect Role?

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

Azure Data Factory and Databricks are two popular cloud-based data integration and ETL tools that can handle various types of data, including structured-unstructured data, and batch-streaming data.

Data Engineer 40

Data Engineer Data Engineering Engineering Project 40

ProjectPro

JUNE 6, 2025

Azure Blob Storage provides businesses a scalable and cost-effective way to manage huge amounts of unstructured data, such as images, multimedia files, and documents. As cloud storage solutions like Azure Blob Storage continue to gain popularity, more and more businesses are recognizing the benefits of moving their data to the cloud.

Cloud Storage 40

Cloud Storage Cloud Unstructured Data Data Lake 40

ProjectPro

JUNE 6, 2025

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 40

Big Data Hadoop Relational Database NoSQL 40

Data Engineering Weekly

JANUARY 12, 2025

Facing performance bottlenecks with their existing Spark-based system, Uber leveraged Ray's Python parallel processing capabilities for significant speed improvements (up to 40x) in their optimization algorithms. Generative AI demands the processing of vast amounts of diverse, unstructured data (e.g.,

Pipeline-centric 57

Pipeline-centric Data Engineer Data Engineering Engineering 57

ProjectPro

JUNE 6, 2025

Table of Contents Why are Data Science Tools Important For Businesses? Top 15 Data Science Tools and Frameworks Why are Data Science Tools Important For Businesses? Data Science is all about extracting, processing, analyzing, and visualizing data to solve real-world problems. Well, you guessed it right!

Data Science 40

Data Science Hadoop Unstructured Data Machine Learning 40

ProjectPro

JUNE 6, 2025

Data Pipeline Tools AWS Data Pipeline Azure Data Pipeline Airflow Data Pipeline Learn to Create a Data Pipeline FAQs on Data Pipeline What is a Data Pipeline? A pipeline may include filtering, normalizing, and data consolidation to provide desired data.

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

ProjectPro

JUNE 6, 2025

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. This ever-increasing volume of data generated today has made processing, storing, and analyzing challenging. Faster processing time for large data sets.

BI 40

BI Hadoop Big Data Business Intelligence 40

ProjectPro

JUNE 6, 2025

What is Azure Data Factory? Azure Data Factory is a cloud-based data integration tool that lets you build data-driven processes in the cloud to orchestrate and automate data transfer and transformation. ADF itself does not save any data. Both services support structured and unstructured data.

AWS 40

AWS Cloud Amazon Web Services ETL Tools 40

ProjectPro

JUNE 6, 2025

This blog explains Azure Data Lake and its architecture and differentiates it from other Azure services such as Azure Data Factory and Azure Databricks. What is Azure Data Lake? Microsoft's Azure Data Lake is designed to simplify big data analytics and storage.

Data Lake 40

Data Lake Hadoop Big Data SQL 40