ProjectPro

JUNE 6, 2025

Did you know that the global data lakes market will likely grow at a CAGR of 29.9% Modern businesses are more likely to make data-driven decisions. Organizations are generating a massive volume of data due to the rise in digitalization. What is Azure Data Lake ? and reach USD 17.60 billion by 2026?

Data Lake 40

Data Lake Big Data Architecture Cloud 40

ProjectPro

JUNE 6, 2025

Over the past few years, there has been remarkable progress in two fields: data storage and warehousing. This is primarily due to the growth and development of cloud-based data storage solutions, which enable organizations across all industries to scale more efficiently, pay less upfront, and perform better.

Big Data 40

Big Data Project Bytes Data Storage 40

ProjectPro

JUNE 6, 2025

Big data , Hadoop, Hive —these terms embody the ongoing tech shift in how we handle information. It's not just theory; it's about seeing how this framework actively shapes our data-driven world. These statistics underscore the global significance of Hive as a critical component in the arsenal of big data tools.

Big Data 40

Big Data Architecture Project Hadoop 40

ProjectPro

JUNE 6, 2025

New to big data? Or, looking to manage data flows from the sheer volumes of data in the big data world? This guide is your go-to resource for understanding the NiFi's role in Big Data projects. Apache NiFi might be the solution you're looking for. Table of Contents What is Apache NiFi?

Big Data 40

Big Data Project Healthcare Medical 40

ProjectPro

JUNE 6, 2025

Did you know that, according to Linkedin, over 24,000 Big Data jobs in the US list Apache Spark as a required skill? Learning Spark has become more of a necessity to enter the Big Data industry. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 40

Big Data Data Process Process Kafka 40

ProjectPro

JUNE 6, 2025

Ready to ride the data wave from “ big data ” to “big data developer”? This blog is your ultimate gateway to transforming yourself into a skilled and successful Big Data Developer, where your analytical skills will refine raw data into strategic gems.

Big Data 40

Big Data Hadoop Scala NoSQL 40

Precisely

JANUARY 9, 2025

Does the LLM capture all the relevant data and context required for it to deliver useful insights? Not to mention the crazy stories about Gen AI making up answers without the data to back it up!) Are we allowed to use all the data, or are there copyright or privacy concerns? But simply moving the data wasnt enough.

Data Integration 119

Data Integration Hadoop Data Warehouse Data Lake 119

Seattle Data Guy

MARCH 31, 2025

RevOps teams want to streamline processes… Read more The post Best Automation Tools In 2025 for Data Pipelines, Integrations, and More appeared first on Seattle Data Guy. But automation isnt just for analytics.

Data Pipeline 195

Data Pipeline Machine Learning Data Process 195

ProjectPro

JUNE 6, 2025

Most businesses begin their quest for a new data warehouse or analytics platform with Azure Synapse Analytics and Snowflake. Massively parallel processing (MPP) is a feature of these two services that makes it simple to distribute data computation among cloud nodes. for each TB of processed data.

Big Data 40

Big Data Project Data Warehouse Data Lake 40

Seattle Data Guy

APRIL 15, 2025

Planning out your data infrastructure in 2025 can feel wildly different than it did even five years ago. Everyone is talking about AI, chatbots, LLMs, vector databases, and whether your data stack is “AI-ready.” The ecosystem is louder, flashier, and more fragmented.

Database 182

Database Data IT Big Data 182

Analytics Vidhya

FEBRUARY 28, 2023

A collaborative and interactive workspace allows users to perform big data processing and machine learning tasks easily. Introduction Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform that is built on top of the Microsoft Azure cloud.

Big Data 312

Big Data Machine Learning Cloud Data Process 312

Seattle Data Guy

NOVEMBER 18, 2024

There are plenty of statistics about the speed at which we are creating data in today’s modern world. On the flip side of all that data creation is a need to manage all of that data and thats where data teams come in.

Management 130

Management Data Big Data Data Science 130

ProjectPro

JUNE 6, 2025

If you are planning to make a career transition into data engineering and want to know how to become a data engineer, this is the perfect place to begin your journey. Beginners will especially find it helpful if they want to know how to become a data engineer from scratch. Table of Contents What is a Data Engineer?

Data Engineer 58

Data Engineer Data Engineering Engineering Amazon Web Services 58

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. It's a sobering thought - all that data, driving no value.

Data Lake 63

Data Lake Data Warehouse Metadata Unstructured Data 63

Towards Data Science

DECEMBER 10, 2024

Three Zero-Cost Solutions That Take Hours, NotMonths A data quality certified pipeline. Source: unsplash.com In my career, data quality initiatives have usually meant big changes. Whats more, fixing the data quality issues this way often leads to new problems. Generate data lineage with one small Pythonscript.

PostgreSQL 75

PostgreSQL Data Python SQL 75

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., differ from ETL developer and the additional skills you need to transition from ETL developer to data engineer job roles.

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. The consumer needn't worry about asking for data. Rabbit MQ vs. Kafka - Which one is a better message broker?

Kafka 72

Kafka Java Big Data Architecture 72

Seattle Data Guy

MARCH 19, 2025

Data integration is critical for organizations of all sizes and industriesand one of the leading providers of data integration tools is Talend, which offers the flagship product Talend Studio. In 2023, Talend was acquired by Qlik, combining the two companies data integration and analytics tools under one roof.

Data Pipeline 130

Data Pipeline Data Integration Data Big Data 130

Seattle Data Guy

APRIL 21, 2025

If you work in data, then youve likely used BigQuery and youve likely used it without really thinking about how it operates under the hood. On the surface BigQuery is Google Clouds fully-managed, serverless data warehouse. appeared first on Seattle Data Guy. Its the Redshift of GCP except we like it a little more.

IT 130

IT Google Cloud Data Warehouse Data 130

ProjectPro

JUNE 6, 2025

Data engineering is the foundation for data science and analytics by integrating in-depth knowledge of data technology, reliable data governance and security, and a solid grasp of data processing. Data engineers need to meet various requirements to build data pipelines.

AWS 52

AWS Data Engineer Data Engineering Project 52

ProjectPro

JUNE 6, 2025

Most of us have observed that data scientist is usually labeled the hottest job of the 21st century, but is it the only most desirable job? No, that is not the only job in the data world. 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

ProjectPro

JUNE 6, 2025

The total amount of data that was created in 2020 was 64 zettabytes! The volume and the variety of data captured have also rapidly increased, with critical system sources such as smartphones, power grids, stock exchanges, and healthcare adding more data sources as the storage capacity increases.

Data Ingestion 45

Data Ingestion Data Engineer Data Engineering Project 45

ProjectPro

JUNE 6, 2025

This blog post provides an overview of the top 10 data engineering tools for building a robust data architecture to support smooth business operations. Table of Contents What are Data Engineering Tools? Dice Tech Jobs report 2020 indicates Data Engineering is one of the highest in-demand jobs worldwide.

Data Engineer 45

Data Engineer Data Engineering Engineering Kafka 45

ProjectPro

JUNE 6, 2025

Discover 50+ Azure Data Factory interview questions and answers for all experience levels. A report by ResearchAndMarkets projects the global data integration market size to grow from USD 12.24 A report by ResearchAndMarkets projects the global data integration market size to grow from USD 12.24 billion in 2020 to USD 24.84

Data Lake 60

Data Lake Metadata SQL Datasets 60

ProjectPro

JUNE 6, 2025

Data engineering has become crucial to any modern organization's technology stack. The need for fast and efficient data processing is high, as companies increasingly rely on data to make business decisions and improve product quality. But what books should you read if you want to learn more about data engineering?

Data Engineer 45

Data Engineer Data Engineering Engineering Lambda Architecture 45

ProjectPro

JUNE 6, 2025

The demand for skilled data engineers who can build, maintain, and optimize large data infrastructures does not seem to slow down any sooner. At the heart of these data engineering skills lies SQL that helps data engineers manage and manipulate large amounts of data. of data engineer job postings on Indeed?

Data Engineer 45

Data Engineer Data Engineering SQL Engineering 45

ProjectPro

JUNE 6, 2025

Say, today, you are building a data science application on your personal computer, and you want your friend to test its performance. Table of Contents Why is Docker for Data Science needed? FAQs Is Docker important for Data Science? What are the use cases for Docker in Data Science and Machine Learning? Think about it.

Data Science 58

Data Science Machine Learning Big Data Deep Learning 58

ProjectPro

JUNE 6, 2025

Over the past few years, data-related jobs have drastically increased. Previously, the spotlight was on gaining relevant insights from data, but recently, data handling has gained attention. Because of that, data engineer jobs have garnered recognition and popularity.

Data Engineer 49

Data Engineer Data Engineering Engineering Hadoop 49

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 Is AWS Athena a Good Choice for your Big Data Project?

AWS 67

AWS Big Data SQL Raw Data 67

ProjectPro

JUNE 6, 2025

With wide applications in various sectors like healthcare , education, retail, transportation, media, and banking -data science applications are at the core of pretty much every industry out there. How do you prepare a data science case study? petabytes of data every hour! petabytes of data every hour!

Data Science 67

Data Science Project Food Pharmaceutical 67

Confessions of a Data Guy

JANUARY 8, 2025

You know, for all the hoards of content, books, and videos produced in the “Data Space” over the last few years, famous or others, it seems I find there are volumes of information on the pieces and parts of working in Data. appeared first on Confessions of a Data Guy.

Data Storage 124

Data Storage Data Pipeline Data IT 124

ProjectPro

JUNE 6, 2025

Modern businesses are migrating their on-premises data to cloud computing infrastructures to facilitate the digital business revolution. To achieve digital transformation, it is necessary to process, manage, and automate the vast volume of data that goes into the cloud platform.

Data Engineer 40

Data Engineer Data Engineering Project Engineering 40

Seattle Data Guy

NOVEMBER 13, 2024

Much of the data we have used for analysis in traditional enterprises has been structured data. However, much of the data that is being created and will be created comes in some form of unstructured format. However, the digital era… Read more The post What is Unstructured Data?

Unstructured Data 130

Unstructured Data Process Structured Data Data 130

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. Why Choose a Data Warehousing Tool?

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

ProjectPro

JUNE 6, 2025

Choosing the right data analysis tools is challenging, as no tool fits every need. This blog will help you determine which data analysis tool best fits your organization by exploring the top data analysis tools in the market with their key features, pros, and cons. Which data analysis software is suitable for smaller businesses?

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

With the rise of cloud computing and the need for more flexible and scalable solutions, cloud databases have become essential for managing and storing large amounts of data. It is a popular choice for businesses of all sizes that must store and manage large amounts of data in the cloud. Microsoft Azure SQL Database vs.

Database 58

Database SQL Cloud Data Management 58

ProjectPro

JUNE 6, 2025

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

AWS 66

AWS Scala Metadata Data Lake 66