phData: Data Engineering

NOVEMBER 8, 2024

Versioning also ensures a safer experimentation environment, where data scientists can test new models or hypotheses on historical data snapshots without impacting live data. Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

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

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 Engineer 59

Data Engineer Data Engineering Project Engineering 59

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

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

ProjectPro

JUNE 6, 2025

Storage Layer: This is a centralized repository where all the data loaded into the data lake is stored. HDFS is a cost-effective solution for the storage layer since it supports storage and querying of both structured and unstructured data. Is Hadoop a data lake or data warehouse?

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

Cloudera

OCTOBER 26, 2020

Cloudera and Dell/EMC are continuing our long and successful partnership of developing shared storage solutions for analytic workloads running in hybrid cloud. . Since the inception of Cloudera Data Platform (CDP), Dell / EMC PowerScale and ECS have been highly requested solutions to be certified by Cloudera.

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Certification Cloud Kafka Cloud Storage 87

ProjectPro

JUNE 6, 2025

Think of the data integration process as building a giant library where all your data's scattered notebooks are organized into chapters. You define clear paths for data to flow, from extraction (gathering structured/unstructured data from different systems) to transformation (cleaning the raw data, processing the data, etc.)

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Data Integration Project Data Lake Hospitality 40

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. Data Layer What are the main use cases for Apache Iceberg? Ensure strong data governance and auditability. Let us explore more about it. Iceberg Catalog 2.

Architecture 40

Architecture Data Lake Metadata Cloud Storage 40

ProjectPro

JUNE 6, 2025

With the global cloud data warehousing market likely to be worth $10.42 billion by 2026, cloud data warehousing is now more critical than ever. Cloud data warehouses offer significant benefits to organizations, including faster real-time insights, higher scalability, and lower overhead expenses.

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Bytes Google Cloud Data Warehouse Cloud Storage 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).

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Cloud Data Lake Cloud Storage Metadata 73

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

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

Cloudera

SEPTEMBER 1, 2020

The Data Discovery and Exploration (DDE) template in CDP Data Hub was released as Tech Preview a few weeks ago. DDE is a new template flavor within CDP Data Hub in Cloudera’s public cloud deployment option (CDP PC). data best served through Apache Solr). data best served through Apache Solr).

Cloud Storage 71

Cloud Storage Unstructured Data AWS Analytics Application 71

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. It not only consumes more memory but also slackens data transfer.

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

ProjectPro

JUNE 6, 2025

Seamless Cloud Integration (BYOC) For teams already managing their cloud infrastructure, Phidata’s "Bring Your Own Cloud" (BYOC) feature allows seamless integration of their own cloud systems. It handles unstructured data, integrates external APIs, and manages prompt engineering workflows.

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Building Data Workflow Python Data Pipeline 40

Monte Carlo

JULY 19, 2023

Its powerful selection of tooling components combine to create a single synchronized and extensible data platform with each layer serving a unique function of the data pipeline. Unlike ogres, however, the cloud data platform isn’t a fairy tale. Data transformation Okay, so your data needs to live in the cloud.

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Building Business Intelligence Cloud Storage BI 96

ProjectPro

JUNE 6, 2025

Data scientists, analysts, and line-of-business teams can use it to support business intelligence and other essential processes from this location. Extract, Load, Transform, or ELT refers to how a data pipeline duplicates data from a data source into a target location, such as a cloud data warehouse.

Data Engineer 40

Data Engineer Data Engineering Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

For example, Anaconda is a Python distribution tailored for data work. It includes a package manager and cloud hosting for sharing code notebooks and Python environments, which can help manage ETL workflows. Here are the critical components of an ETL data pipeline: Data Sources: Data sources are the starting point of an ETL pipeline.

Python 40

Python ETL Tools Data Warehouse Programming Language 40

Tweag

APRIL 19, 2023

Thankfully, cloud-based infrastructure is now an established solution which can help do this in a cost-effective way. As a simple solution, files can be stored on cloud storage services, such as Azure Blob Storage or AWS S3, which can scale more easily than on-premises infrastructure. But as it turns out, we can’t use it.

Medical 61

Medical Process Cloud Bytes 61

Towards Data Science

JULY 21, 2023

Its powerful selection of tooling components combine to create a single synchronized and extensible data platform with each layer serving a unique function of the data pipeline. Unlike ogres, however, the cloud data platform isn’t a fairy tale. Data transformation Okay, so your data needs to live in the cloud.

Building 98

Building Business Intelligence BI Cloud Storage 98

Cloudera

SEPTEMBER 15, 2022

A key area of focus for the symposium this year was the design and deployment of modern data platforms. Mark: While most discussions of modern data platforms focus on comparing the key components, it is important to understand how they all fit together. Ramsey International Modern Data Platform Architecture. What is a data mesh?

Data Lake 83

Data Lake Cloud Storage Analytics Application Architecture 83

ProjectPro

JUNE 6, 2025

The characteristics of the data impact preparation costs, as well as storage and processing expenses: Structured data (like databases) is easier and cheaper to handle than unstructured data (like text, images, or videos), as the latter requires more preprocessing. hr on Google Cloud, ~$3.06/hr

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Systems Building IT Google Cloud 40

ProjectPro

JUNE 6, 2025

Beyond the interface, LlamaIndex allows you to choose from various storage backends to suit your needs. These backends include local file systems for on-premise storage or cloud storage solutions like AWS S3 and Cloudflare R2 for scalability and remote access. This, in turn, will help you build impactful LLM applications.

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Building Database Utilities Medical 40

ProjectPro

JUNE 6, 2025

Data preprocessing , including cleaning, normalization, and handling missing values, is thus critical in preparing data for AI models. A clear understanding of structured, semi-structured, and unstructured data is essential to manage and process it effectively. As you move to deployment, plan carefully.

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Project Deep Learning Datasets Machine Learning 40

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.

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Data Analysis Tools Data Analysis BI R (Programming) 45

Cloudera

JUNE 22, 2023

The stringent requirements imposed by regulatory compliance, coupled with the proprietary nature of most legacy systems, make it all but impossible to consolidate these resources onto a data platform hosted in the public cloud. Simplified compliance. Improved scalability and agility. Flexibility. A radically improved security posture.

Data Cleanse 66

Data Cleanse Data Governance Cloud Storage Unstructured Data 66

ProjectPro

JUNE 6, 2025

The amount of data created is enormous, and with this pandemic forcing us to stay indoors, we are spending a lot of time over the internet generating massive amounts of data - In 2020, we created 1.7 MB of data every second. By 2025, 200+ zettabytes of data will be in cloud storage around the globe.

Data Mining 40

Data Mining Machine Learning Data Science Algorithm 40

ProjectPro

JUNE 6, 2025

The term "raw data" refers to a group of data (texts, photos, and database records in their raw form) that has not yet been fully processed and integrated into the system. Why is Data Wrangling important in Data Science Projects? Data wrangling is integral to any data science or data analytics project.

Raw Data 58

Raw Data Programming Language Unstructured Data Datasets 58

Knowledge Hut

JUNE 26, 2023

Hundreds of datasets are available from these two cloud services, so you may practise your analytical skills without having to scrape data from an API. Source: Use Stack Overflow Data for Analytic Purposes 4. We can clean the data, convert the data, and aggregate the data using dbt so that it is ready for analysis.

Data Engineer 98

Data Engineer Data Engineering Coding Project 98

Cloudyard

APRIL 7, 2023

Redirect the user to the staged file in the cloud storage service. So in case if we need to provide the access to unstructured data for specific roles then BUILD_SCOPED_FILE_URL is being used w.r.t When users send a file URL to the REST API to access files, Snowflake performs the following actions: Authenticate the user.

Unstructured Data 52

Unstructured Data Cloud Storage AWS Accessible 52

Monte Carlo

APRIL 24, 2023

With our new partnership and updated integration, Monte Carlo provides full, end-to-end coverage across data lake and lakehouse environments powered by Databricks. But remember that line from the introduction about the blurring line between data warehouses and data lakes? It works in both directions.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Monte Carlo

FEBRUARY 25, 2025

Banks, healthcare systems, and financial reporting often rely on ETL to maintain highly structured, trustworthy data from the start. ELT (Extract, Load, Transform) ELT flips the orderstoring raw data first and applying transformations later. Once youve figured out when to transform your data, the next question is how to move it.

Designing 52

Designing Data Engineer Data Engineering Engineering 52

U-Next

SEPTEMBER 7, 2022

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. The data lakes store data from a wide variety of sources, including IoT devices, real-time social media streams, user data, and web application transactions.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

RandomTrees

SEPTEMBER 17, 2024

Data Discovery: Users can find and use data more effectively because to Unity Catalog’s tagging and documentation features. Unified Governance: It offers a comprehensive governance framework by supporting notebooks, dashboards, files, machine learning models, and both organized and unstructured data.

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Data Governance Government Metadata Machine Learning 52

ProjectPro

JULY 30, 2021

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.

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Cloud Computing Cloud Amazon Web Services AWS 40