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. Challenges Faced by AI Data Engineers Just because “AI” involved doesn’t mean all the challenges go away!

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Cloudera

MAY 14, 2024

Hybrid cloud plays a central role in many of today’s emerging innovations—most notably artificial intelligence (AI) and other emerging technologies that create new business value and improve operational efficiencies. But getting there requires data, and a lot of it. Data comes in many forms.

Cloud 99

Cloud Data Governance Unstructured Data Government 99

ProjectPro

JUNE 6, 2025

By integrating a Knowledge Graph with vector databases, Graph RAG leverages the vastness of unstructured data with the precision of structured information, striking a perfect balance between scalability and accuracy. Key Differences Aspect Knowledge Graph Vector Database Data Type Structured data with relationships.

Building 52

Building Unstructured Data Database Datasets 52

Snowflake

NOVEMBER 2, 2023

Apache Iceberg for an open data lakehouse The data lakehouse architecture emerged to combine the benefits of scalability and flexibility of data lakes with the governance, schema enforcement, and transactional properties of data warehouses. The schema of semi-structured data tends to evolve over time.

Data Lake 115

Data Lake Data Warehouse Cloud Unstructured Data 115

ProjectPro

JUNE 6, 2025

This means that a data warehouse is a collection of technologies and components that are used to store data for some strategic use. Data is collected and stored in data warehouses from multiple sources to provide insights into business data. Data from data warehouses is queried using SQL.

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 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 Data Lake Hadoop 59

Cloudera

APRIL 1, 2024

We’re excited to share that Gartner has recognized Cloudera as a Visionary among all vendors evaluated in the 2023 Gartner® Magic Quadrant for Cloud Database Management Systems. Download the complimentary 2023 Gartner Magic Quadrant for Cloud Database Management Systems report.

Cloud 105

Cloud Unstructured Data Metadata Government 105

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. Practice makes a man perfect!

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

Snowflake

MARCH 9, 2023

Formed in 2022, the company provides a simple, SaaS-based drag and drop interface that democratizes AI data analytics, allowing everyone within the business to solve problems and create value faster. These processes would normally take twelve data scientists 18 months and cost millions. The result?

Cloud 92

Cloud Unstructured Data Data Data Storage 92

ProjectPro

JUNE 6, 2025

Microsoft Azure is one of the most rapidly expanding and popular cloud service providers. 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.

Data Lake 40

Data Lake Amazon Web Services Data Warehouse Big Data 40

Monte Carlo

MARCH 3, 2025

Looking at past technology advancesnamely cloud computing and big datawe can see it typically happens in that order. The most common themes: Data readiness- You cant have good AI with bad data. On the structured data side of the house, teams are racing to achieve AI-Ready data.

Unstructured Data 52

Unstructured Data Data Banking Cloud Computing 52

ProjectPro

JUNE 6, 2025

Business Intelligence - ETL is a key component of BI systems for extracting and preparing data for analytics. Data Migration - This is another key use case where ETL processes can be used to migrate data from an on-premises system to the cloud.

BI 45

BI ETL Tools Retail Healthcare 45

ProjectPro

JUNE 6, 2025

Such flexibility offered by MongoDB enables developers to utilize it as a user-friendly file-sharing system if and when they wish to share the stored data. to achieve scalability in their web applications and cloud management at a massive scale. This section will brief you on some basic beginner level MongoDB project ideas.

MongoDB 66

MongoDB Coding Project NoSQL 66

ProjectPro

JUNE 6, 2025

Data Model Structured data with tables and columns. Semi-structured data in JSON format. Use Cases Best for traditional relational database use cases with structured data. Best for unstructured, semi-structured, or variable data with high throughput and scalability needs.

Amazon Web Services 40

Amazon Web Services NoSQL Relational Database AWS 40

ProjectPro

JUNE 6, 2025

Client Applications Amazon Redshift can integrate with different ETL tools, BI tools, data mining , and analytics tools. Clusters The basic unit in the AWS cloud architecture is the Amazon Redshift cluster. Organizations use cloud data warehouses like AWS Redshift to organize such information at scale.

Data Pipeline 64

Data Pipeline AWS Project Building 64

ProjectPro

JUNE 6, 2025

Traditional data storage systems like data warehouses were designed to handle structured and preprocessed data. That’s where data lakes come in. A data lake is a centralized repository that stores vast amounts of raw data in its native format until needed.

Data Lake 40

Data Lake Building Hadoop Raw Data 40

Data Engineering Weekly

MARCH 5, 2025

Evaluate Compatibility: Ensure your existing infrastructure and tools (query engines, data ingestion pipelines) are compatible with Iceberg and your chosen catalog. Consider Cloud Vendor Lock-in: Be mindful of potential lock-in, especially with catalogs. The Catalog Conundrum: Beyond Structured Data The role of the catalog is evolving.

Hadoop 57

Hadoop Metadata Data Ingestion Data Governance 57

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

Furthermore, you will find a few sections on data engineer interview questions commonly asked in various companies leveraging the power of big data and data engineering. SQL works on data arranged in a predefined schema. Non-relational databases support dynamic schema for unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Snowflake

MARCH 18, 2024

Think back just a few years ago when most enterprises were either planning or just getting started on their cloud journeys. The pandemic hit and, virtually overnight, the need to radically change ways of working pushed those cloud journeys into overdrive. Migrating to the cloud made that possible. petabytes daily in 2021.

Unstructured Data 111

Unstructured Data Government Data Pipeline Cloud 111

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

By 2028, the size of the global market for data warehousing is likely to reach $51.18 The volume of enterprise data generated, including structured data, sensor data, network logs, video and audio feeds, and other unstructured data, is expanding exponentially as businesses diversify their client bases and adopt new technologies.

Data Warehouse 40

Data Warehouse Engineering Business Intelligence Google Cloud 40

ProjectPro

JUNE 6, 2025

Table of Contents What are Data Engineering Tools? Top 10+ Tools For Data Engineers Worth Exploring in 2025 Cloud-Based Data Engineering Tools Data Engineering Tools in AWS Data Engineering Tools in Azure FAQs on Data Engineering Tools What are Data Engineering Tools?

Data Engineering 45

Data Engineering Data Engineer Engineering Kafka 45

ProjectPro

JUNE 6, 2025

Are you looking to choose the best cloud data warehouse for your next big data project? This blog presents a detailed comparison of two of the very famous cloud warehouses - Redshift vs. BigQuery - to help you pick the right solution for your data warehousing needs. billion by 2028 from $21.18

Data Warehouse 40

Data Warehouse Data Mining Google Cloud PostgreSQL 40

ProjectPro

JUNE 6, 2025

In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers. ADF does not store any data on its own.

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 112

IT Unstructured Data Government Data Architecture 112

ProjectPro

JUNE 6, 2025

In 2024, the data engineering job market is flourishing, with roles like database administrators and architects projected to grow by 8% and salaries averaging $153,000 annually in the US (as per Glassdoor ). These trends underscore the growing demand and significance of data engineering in driving innovation across industries.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

Snowflake

SEPTEMBER 19, 2023

AI unlocks new data use cases. With the ability to handle unstructured data types and larger volumes of data, AI gives us the tools to tackle more complex, exciting problems. I was looking at some statistic that at any typical company, more than 80% of the data is unstructured. Some takeaways?

Machine Learning 121

Machine Learning Unstructured Data Data Analytics Government 121

ProjectPro

JUNE 6, 2025

Decide the process of Data Extraction and transformation, either ELT or ETL (Our Next Blog) Transforming and cleaning data to improve data reliability and usage ability for other teams from Data Science or Data Analysis. Dealing With different data types like structured, semi-structured, and unstructured data.

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

Cloudera

JUNE 25, 2021

Many Cloudera customers are making the transition from being completely on-prem to cloud by either backing up their data in the cloud, or running multi-functional analytics on CDP Public cloud in AWS or Azure. Configure the required ports to enable connectivity from CDH to CDP Public Cloud (see docs for details).

Cloud 73

Cloud Data Lake Cloud Storage Metadata 73

Data Engineering Weekly

JANUARY 12, 2025

[link] Canva: The foundations of Canva’s continuous data platform with Snowpipe Streaming Canva writes about its migration from AWS Data Firehose to Snowpipe Streaming, driven by the need to reduce costs, which consume nearly 50% of its data platform budget.

Pipeline-centric 57

Pipeline-centric Data Engineering Data Engineer Engineering 57

ProjectPro

JUNE 6, 2025

Experts predict that by 2025, the global big data and data engineering market will reach $125.89 billion, and those with skills in cloud-based ETL tools and distributed systems will be in the highest demand. As more organizations shift to the cloud, the demand for ETL engineers with expertise in these platforms is soaring.

Data Engineering 40

Data Engineering Data Engineer Engineering ETL Tools 40

Monte Carlo

JUNE 3, 2025

Its streamlining innovation in new ways, and noticeably, the first innovation he calls out is unstructured data turns out, its foreshadowing for some of the announcements to come. Build with these foundations in mind, says Benoit, and the possibilities for innovation with Snowflakes data + AI cloud are limitless.

Unstructured Data 40

Unstructured Data Government SQL Data Architecture 40

Snowflake

JULY 10, 2023

“California Air Resources Board has been exploring processing atmospheric data delivered from four different remote locations via instruments that produce netCDF files. Previously, working with these large and complex files would require a unique set of tools, creating data silos. ” U.S.

Unstructured Data 40

Unstructured Data Python Process Scala 40

Snowflake

DECEMBER 11, 2024

Sports organizations deploy significant resources to collect mountains of data on fans, players and more. Legacy systems, old approaches and segmented data can make it challenging to mine and maximize results from structured data, like ticket or merchandise purchase transactions, and unstructured data, like game footage.

Unstructured Data 96

Unstructured Data Government Media Data 96

ProjectPro

JUNE 6, 2025

Storage And Persistence Layer Once processed, the data is stored in this layer. Stream processing engines often have in-memory storage for temporary data, while durable storage solutions like Apache Hadoop, Amazon S3, or Google Cloud Storage serve as repositories for long-term storage of processed data.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

Cloudera

JULY 26, 2021

Once we have identified those capabilities, the second article explores how the Cloudera Data Platform delivers those prerequisite capabilities and has enabled organizations such as IQVIA to innovate in Healthcare with the Human Data Science Cloud. . Business and Technology Forces Shaping Data Product Development.

Generalist 119

Generalist Telecommunication Healthcare Data 119