ProjectPro

JUNE 6, 2025

Unlock the power of scalable cloud storage with Azure Blob Storage! This Azure Blob Storage tutorial offers everything you need to know to get started with this scalable cloud storage solution. By 2030, the global cloud storage market is likely to be worth USD 490.8 billion, increasing at a CAGR of 24.8%.

Cloud Storage 40

Cloud Storage Cloud Unstructured Data Data Lake 40

Snowflake

JUNE 10, 2025

For years, Snowflake has been laser-focused on reducing these complexities, designing a platform that streamlines organizational workflows and empowers data teams to concentrate on what truly matters: driving innovation.

Data Pipeline 83

Data Pipeline SQL Python Building 83

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.

Data Lake 115

Data Lake Data Warehouse Cloud Unstructured Data 115

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

phData: Data Engineering

NOVEMBER 8, 2024

First, we create an Iceberg table in Snowflake and then insert some data. Then, we add another column called HASHKEY , add more data, and locate the S3 file containing metadata for the iceberg table. In the screenshot below, we can see that the metadata file for the Iceberg table retains the snapshot history.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Data Engineering Podcast

JUNE 26, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130

ProjectPro

JUNE 6, 2025

Why Learn Cloud Computing Skills? The job market in cloud computing is growing every day at a rapid pace. A quick search on Linkedin shows there are over 30000 freshers jobs in Cloud Computing and over 60000 senior-level cloud computing job roles. What is Cloud Computing? Thus came in the picture, Cloud Computing.

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

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

Data Engineering Weekly

MARCH 5, 2025

This ecosystem includes: Catalogs: Services that manage metadata about Iceberg tables (e.g., Compute Engines: Tools that query and process data stored in Iceberg tables (e.g., Maintenance Processes: Operations that optimize Iceberg tables, such as compacting small files and managing metadata. Trino, Spark, Snowflake, DuckDB).

Hadoop 57

Hadoop Metadata Data Ingestion Data Governance 57

Cloudera

AUGUST 16, 2021

We just announced Cloudera DataFlow for the Public Cloud (CDF-PC), the first cloud-native runtime for Apache NiFi data flows. The need for a cloud-native Apache NiFi service. Apache Nifi is a powerful tool to build data movement pipelines using a visual flow designer. A new cloud-native architecture.

Cloud 122

Cloud Unstructured Data Utilities Metadata 122

Cloudyard

MARCH 30, 2023

Read Time: 2 Minute, 30 Second For instance, Consider a scenario where we have unstructured data in our cloud storage. However, Unstructured I assume : PDF,JPEG,JPG,Images or PNG files. Therefore, As per the requirement, Business users wants to download the files from cloud storage.

Unstructured Data 52

Unstructured Data Accessible Accessibility Cloud Storage 52

Data Engineering Podcast

JUNE 19, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Metadata 130

Metadata Unstructured Data MongoDB MySQL 130

ProjectPro

JUNE 6, 2025

Graph RAG allows different retrieval models based on the use case: Graph as a Content Store extracts textual content with relevant metadata for queries. In contrast, Vector Databases are optimized for handling unstructured data , such as embeddings, and are designed for efficient similarity searches.

Building 52

Building Unstructured Data Database Datasets 52

Snowflake

NOVEMBER 11, 2024

At BUILD 2024, we announced several enhancements and innovations designed to help you build and manage your data architecture on your terms. Support for auto-refresh and Iceberg metadata generation is coming soon to Delta Lake Direct. Here’s a closer look.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105

phData: Data Engineering

NOVEMBER 1, 2024

Strong data governance also lays the foundation for better model performance, cost efficiency, and improved data quality, which directly contributes to regulatory compliance and more secure AI systems. Organizations also need a better understanding of how LLMs are trained, especially with external vendors or public cloud environments.

Government 52

Government Data Governance Finance Metadata 52

ProjectPro

JUNE 6, 2025

The result was Apache Iceberg, a modern table format built to handle the scale, performance, and flexibility demands of today’s cloud-native data architectures. Metadata Layer 3. Data Layer What are the main use cases for Apache Iceberg? It maintains references to the latest metadata file for each table.

Architecture 40

Architecture Data Lake Metadata Cloud Storage 40

ProjectPro

JUNE 6, 2025

The data warehouse layer consists of the relational database management system (RDBMS) that contains the cleaned data and the metadata, which is data about the data. The RDBMS can either be directly accessed from the data warehouse layer or stored in data marts designed for specific enterprise departments.

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

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 97

Unstructured Data Google Cloud Government AWS 97

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

Data Lake Architecture- Core Foundations Data lake architecture is often built on scalable storage platforms like Hadoop Distributed File System (HDFS) or cloud services like Amazon S3, Azure Data Lake, or Google Cloud Storage.

Data Lake 40

Data Lake Building Hadoop Raw Data 40

ProjectPro

JUNE 6, 2025

Want to put your cloud computing skills to the test? Dive into these innovative cloud computing projects for big data professionals and learn to master the cloud! Cloud computing has revolutionized how we store, process, and analyze big data, making it an essential skill for professionals in data science and big data.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

ProjectPro

JUNE 6, 2025

Skills of a Data Engineer Apart from the existing skills of an ETL developer, one must acquire the following additional skills to become a data engineer. Cloud Computing Every business will eventually need to move its data-related activities to the cloud. How to Transition from ETL Developer to Data Engineer?

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

Rockset

APRIL 18, 2023

Organizations have continued to accumulate large quantities of unstructured data, ranging from text documents to multimedia content to machine and sensor data. Comprehending and understanding how to leverage unstructured data has remained challenging and costly, requiring technical depth and domain expertise.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

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

Cloud computing is the future, given that the data being produced and processed is increasing exponentially. As per the March 2022 report by statista.com, the volume for global data creation is likely to grow to more than 180 zettabytes over the next five years, whereas it was 64.2 It is a serverless big data analysis tool.

AWS 67

AWS Big Data SQL Raw Data 67

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

Snowflake

NOVEMBER 29, 2023

Data cloud technology can accelerate FAIRification of the world’s biomedical patient data. Also, the associated business metadata for omics, which make it findable for later use, are dynamic and complex and need to be captured separately.

Metadata 114

Metadata Healthcare Medical Data Storage 114

ProjectPro

JUNE 6, 2025

To enhance business alignment, maintain data quality, and facilitate integration, Erwin Data Modeler streamlines and standardizes model design tasks, including complicated queries. Consolidate and develop hybrid architectures in the cloud and on-premises, combining conventional, NoSQL, and Big Data.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

Cloudera

JUNE 7, 2022

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 Data Architecture Government 112

Data Engineering Podcast

JUNE 12, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking all of that information into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. Go to dataengineeringpodcast.com/atlan today to learn more about how you can take advantage of active metadata and escape the chaos.

Metadata 100

Metadata Unstructured Data MongoDB Business Intelligence 100

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Data and Metadata: Data inputs and data outputs produced based on the application logic.

Architecture 124

Architecture Metadata Kafka Government 124

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

JUNE 24, 2024

A few highlights from the report Unstructured data goes mainstream. link] Allegro Tech: A Mission to Cost-Effectiveness: Reducing the cost of a single Google Cloud Dataflow Pipeline by Over 60% The blog is an excellent case study of hyopoesis driven cost optimization with the detail analysis to verify the hypothesis.

Data Engineer 109

Data Engineer Data Engineering Engineering Google Cloud 109

The Modern Data Company

JANUARY 22, 2024

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

ProjectPro

JUNE 6, 2025

However, this does not mean just Hadoop but Hadoop along with other big data technologies like in-memory frameworks, data marts, discovery tools ,data warehouses and others that are required to deliver the data to the right place at right time. Apache Ranger renders centralized security administration for hadoop clusters.

Big Data 40

Big Data Hadoop Data Lake Machine Learning 40

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. link] All rights reserved ProtoGrowth Inc, India.

Pipeline-centric 57

Pipeline-centric Data Engineer Data Engineering Engineering 57

Cloudera

SEPTEMBER 9, 2022

Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested. Imagine independently discovering rich new business insights from both structured and unstructured data working together, without having to beg for data sets to be made available.

Architecture 102

Architecture Metadata Machine Learning Unstructured Data 102