phData: Data Engineering

NOVEMBER 8, 2024

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Though basic and easy to use, traditional table storage formats struggle to keep up. Track data files within the table along with their column statistics.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

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

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

ProjectPro

JUNE 6, 2025

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. Another leading European company, Claranet, has adopted Glue to migrate their data load from their existing on-premise solution to the cloud. How Does AWS Glue Work?

AWS 66

AWS Scala Metadata Data Lake 66

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

Knowledge Hut

NOVEMBER 7, 2023

The applications of cloud computing in businesses of all sizes, types, and industries for a wide range of applications, including data backup, email, disaster recovery, virtual desktops big data analytics, software development and testing, and customer-facing web apps. What Is Cloud Computing?

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

Confluent

MARCH 4, 2019

Cloud is one of the key drivers for innovation. Innovative companies experiment with data to come up with something useful. But cloud alone doesn’t solve all the problems. A trend often seen in organizations around the world is the adoption of Apache Kafka ® as the backbone for data storage and delivery.

Cloud 89

Cloud Banking Kafka NoSQL 89

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

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 SQL Big Data Raw Data 67

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

MAY 27, 2025

How we interact with data is changing The hottest new programming language is English," OpenAI founding member Andrej Karpathy famously Tweeted. The way we interact with data has changed radically. Turn data into intelligence with Snowflake Snowflakes AI Data Cloud empowers marketers in this evolving landscape.

Unstructured Data 93

Unstructured Data Government SQL Programming Language 93

Monte Carlo

MARCH 3, 2025

Looking at past technology advancesnamely cloud computing and big datawe can see it typically happens in that order. Prior to data powering valuable data products like machine learning models and real-time marketing applications, data warehouses were mainly used to create charts in binders that sat off to the side of board meetings.

Unstructured Data 52

Unstructured Data Data Banking Cloud Computing 52

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

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 Machine Learning 111

ProjectPro

JUNE 6, 2025

With global data creation expected to soar past 180 zettabytes by 2025, businesses face an immense challenge: managing, storing, and extracting value from this explosion of information. Traditional data storage systems like data warehouses were designed to handle structured and preprocessed data.

Data Lake 40

Data Lake Building Hadoop Raw Data 40

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 SQL 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

Whether you are a cloud enthusiast or an IT pro aiming to climb up the big data career ladder, this blog will help discover the perfect Microsoft Azure certification path to success. Azure is one of the world's most popular cloud computing platforms, and its popularity will only grow in the future.

Certification 40

Certification Cloud Cloud Computing Machine Learning 40

Data Engineering Weekly

OCTOBER 11, 2024

The data world is abuzz with speculation about the future of data engineering and the successor to the celebrated modern data stack. While the modern data stack has undeniably revolutionized data management with its cloud-native approach, its complexities and limitations are becoming increasingly apparent.

Manufacturing 109

Manufacturing Transportation Data Warehouse Unstructured Data 109

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

Snowflake

NOVEMBER 29, 2023

Data cloud technology can accelerate FAIRification of the world’s biomedical patient data. For example, the data storage systems and processing pipelines that capture information from genomic sequencing instruments are very different from those that capture the clinical characteristics of a patient from a site.

Metadata 117

Metadata Healthcare Medical Data Storage 117

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

The fusion of data science and cloud computing has given rise to a new breed of professionals – AWS Data Scientists. With organizations relying on data to fuel their decisions, the need for adept professionals capable of extracting valuable insights from extensive datasets is rising. Explore them today!

AWS 40

AWS Amazon Web Services Cloud Computing Machine Learning 40

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.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

ProjectPro

JUNE 6, 2025

It is simple to set up, manage, and extend a relational database in the cloud using Amazon RDS, which automates all the time-consuming administration tasks like provisioning, setup, upgrading, and backups. Amazon DynamoDB is a fully managed NoSQL database service by Amazon Web Services with document and key-value data model support.

Amazon Web Services 40

Amazon Web Services NoSQL Relational Database AWS 40

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

ProjectPro

JUNE 6, 2025

They contribute to developing data principles and standards by converting business requirements into technical requirements. They typically collaborate with members of other teams, such as data miners, data engineers, data analysts, and data scientists.

Data Architect 40

Data Architect Data Engineering Data Engineer Building 40

Cloudera

FEBRUARY 8, 2021

The vehicle-to-cloud solution driving advanced use cases. Airbiquity, Cloudera, NXP, Teraki, and Wind River teamed to collaborate on The Fusion Project whose objective is to define and provide an integrated solution from vehicle edge to cloud addressing the challenges associated with a fragmented machine learning data management lifecycle.

Manufacturing 108

Manufacturing Machine Learning Electronics Data Ingestion 108

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.

Bytes 40

Bytes Google Cloud Data Warehouse Cloud Storage 40

ProjectPro

JUNE 6, 2025

Data Architect Salary How to Become a Data Architect - A 5-Step Guide Become a Data Architect - Key Takeaways FAQs on Data Architect Career Path What is a Data Architect Role? Cloud Architect stays up-to-date with data regulations, monitors data accessibility, and expands the cloud infrastructure as needed.

Data Architect 40

Data Architect Data Mining Programming Language Java 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

NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies. Hence, writes in Hbase are operation intensive.

NoSQL 40

NoSQL Database Hadoop Big Data 40

ProjectPro

JUNE 6, 2025

Additional Costs Implementing and maintaining ETL pipelines can be costly, especially as data volumes grow, requiring significant infrastructure investment and ongoing maintenance. For example, in an e-commerce platform, transactional data such as customer purchases, inventory updates, and website interactions are continuously generated.

Data Analytics 40

Data Analytics MySQL PostgreSQL Data Lake 40

ProjectPro

JUNE 6, 2025

Table of Contents What is Real-Time Data Ingestion? For this example, we will clean the purchase data to remove duplicate entries and standardize product and customer IDs. They also enhance the data with customer demographics and product information from their databases. Google Cloud DataFlow With 4.6

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

ProjectPro

JUNE 6, 2025

It is suitable in scenarios where data needs to be collected from different systems, transformed, and loaded into a central repository. AWS Data Pipeline AWS Data Pipeline is a cloud-based service by Amazon Web Services (AWS) that simplifies the orchestration of data workflows.

Data Pipeline 40

Data Pipeline Building Data Ingestion Retail 40

ProjectPro

JUNE 6, 2025

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis.

Hadoop 40

Hadoop Project Big Data Scala 40