Snowflake

APRIL 13, 2025

Managing and utilizing data effectively is crucial for organizational success in today's fast-paced technological landscape. The vast amounts of data generated daily require advanced tools for efficient management and analysis. Enter agentic AI, a type of artificial intelligence set to transform enterprise data management.

Data Management 95

Data Management Management Consulting Unstructured Data 95

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

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

AWS Athena Pricing Limitations and Best practices of AWS Athena Simple AWS Athena Tutorial - Learn How to use Athena in AWS AWS Athena Project Ideas for Practice Presto - The Underlying Technology behind AWS Athena FAQs What is AWS Athena? It is a serverless big data analysis tool.

AWS 67

AWS Big Data SQL Raw Data 67

ProjectPro

JUNE 6, 2025

Suppose you’re among those fascinated by the endless possibilities of deep learning technology and curious about the popular deep learning algorithms behind the scenes of popular deep learning applications. As per International Data Corporation (IDC), worldwide data will grow 61% to 175 zettabytes by 2025!

Deep Learning 73

Deep Learning Algorithm Machine Learning Datasets 73

ProjectPro

JUNE 6, 2025

Cuban government turned to a Spanish big data analytics firm Social Vane to crunch big data for improving hotels and infrastructure. Table of Contents How big data is changing the world? These systems can be related to human brains as they link bits of data to find real answers and not merely search results.

Big Data 40

Big Data Retail Banking Pharmaceutical 40

ProjectPro

JUNE 6, 2025

Companies need engineers that can help them transition over to Cloud Computing or senior engineers who can maintain and innovate on the already established Cloud Computing technology. Building data storage and computing architecture locally were getting more expensive during the advent of Big Data technologies.

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

ProjectPro

JUNE 6, 2025

With such a high level of competition, you need to prepare well for your data modeling job interview to stay ahead of your competitors. Let us dive into these categories one by one and get you started in your data modeling journey! Facebook Data Modeling Interview Questions 48. Both are free and open-source software.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

ProjectPro

JUNE 6, 2025

So, whether you are a seasoned data engineer or just starting your data journey, this exploration of data integration promises to turn your data mountains into golden opportunities. Table of Contents What Are Data Integration Projects? data warehouses).

Data Integration 40

Data Integration Project PostgreSQL Data Lake 40

ProjectPro

JUNE 6, 2025

As technology advances, their role will become increasingly crucial, and excellent data architects will embrace this transition by staying up-to-date with the new tools and technologies. Maintain data security and set guidelines to ensure data accuracy and system safety. Understanding of Data modeling tools (e.g.,

Data Architect 40

Data Architect Data Mining Programming Language Java 40

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

ProjectPro

JUNE 6, 2025

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

The only thing that is not constant with technology is change. MongoDB is one of the hottest IT tech skills in demand with big data and cloud proliferating the market. One third of Fortune 100 companies are employing MongoDB NoSQL database for mission critical big data applications. How to prepare for MongoDB Certification?

NoSQL 40

NoSQL MongoDB Certification Database 40

ProjectPro

JUNE 6, 2025

Questions span data warehousing , ETL processes, big data technologies , SQL, data processing, optimization, security, privacy, and data visualization. Once the schema is designed, Extract, Transform, Load (ETL) processes are implemented to convert the unstructured data into a structured format.

Data Engineering 40

Data Engineering Data Engineer Engineering NoSQL 40

ProjectPro

JUNE 6, 2025

Experts predict that by 2025, the global big data and data engineering market will reach $125.89 With the right tools, mindset, and hands-on experience, you can become a key player in transforming how organizations use data to drive innovation and decision-making. How to Become an ETL Data Engineer?

Data Engineering 40

Data Engineering Data Engineer Engineering ETL Tools 40

ProjectPro

JUNE 6, 2025

Table of Contents Who is a Data Modeler? Data Modeler: Career Outlook Data Modeler Job Description What does a Data Modeler do? Data Modeller Skills Top Data Modeler Certifications How to Become a Data Modeler in 2025? Modern modeling tools are more effective, quicker, and easier.

NoSQL 40

NoSQL ETL Tools Certification SQL 40

ProjectPro

JUNE 6, 2025

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 40

Big Data Hadoop Relational Database NoSQL 40

ProjectPro

JUNE 6, 2025

The success or failure of a data warehouse project depends on the time taken to identify the right technology. You are likely to be aware of the two pioneers in data warehouse technologies, Snowflake and Google BigQuery , if you are a big data developer or simply a business owner who takes big data seriously.

Data Warehouse 40

Data Warehouse Cloud Google Cloud Big Data 40

ProjectPro

JUNE 6, 2025

Data Modeling Analyzing unstructured data models is one of the key responsibilities of a machine learning career, which brings us to the next required skill- data modeling and evaluation. Having a solid knowledge of data modeling concepts is essential for every machine learning professional. per hour in the US.

Machine Learning 49

Machine Learning Engineering Algorithm Programming Language 49

ProjectPro

JUNE 6, 2025

Big Data refers to the massive volumes of data which is no longer possible to manage using traditional software applications. Automated tools are developed as part of the Big Data technology to handle the massive volumes of varied data sets. Data Scientists use ML algorithms to make predictions on the data sets.

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

According to the World Economic Forum, AI is expected to create 97 million new jobs by 2025 in areas like data science, data analysis, software development, and digital transformation. Excellent at handling noisy, unstructured data like images. Limitations Struggles with ambiguous or high-dimensional data.

Deep Learning 71

Deep Learning Machine Learning Algorithm Medical 71

ProjectPro

JUNE 6, 2025

You will be at the forefront of this technological revolution, building AI solutions that impact millions. Bureau of Labor Statistics report shows that computer and information technology job roles will grow 13% by 2030 (with nearly 667,600 new jobs). Data Analytics- Knowing how to clean, analyze, and interpret data is crucial.

Machine Learning 40

Machine Learning Computer Science Consulting Software Engineering 40

ProjectPro

JUNE 6, 2025

“Any sufficiently advanced technology is indistinguishable from magic.”– Big data technologies and practices are gaining traction and moving at a fast pace with novel innovations happening in this space. Businesses are wading into the big data trends as they do not want to take the risk of being left behind.

Big Data 40

Big Data Data Analysis NoSQL Deep Learning 40

ProjectPro

JUNE 6, 2025

By 2023, the big data analytics industry is likely to reach $103 billion, which explains why businesses worldwide are putting a greater emphasis on the need for data analytics. The vast number of technologies available makes it challenging to start working in data analytics. Google Data Studio 10. Power BI 4.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

As we step into the latter half of the present decade, we can’t help but notice the way Big Data has entered all crucial technology-powered domains such as banking and financial services, telecom, manufacturing, information technology, operations, and logistics. That is where Apache Hadoop and Apache Spark come in.

Hadoop 40

Hadoop Project Big Data Scala 40

ProjectPro

JUNE 6, 2025

One of the most crucial points to keep in mind is to upskill yourself in the most popular data science tools and technologies. Data Scientists need to broaden their skillset and knowledge of all the popular data science tools in demand to gain a competitive edge.

Data Science 40

Data Science Hadoop Machine Learning Unstructured Data 40

Monte Carlo

MARCH 3, 2025

No one knows exactly when this tidal wave will hit, but based on our conversations with dozens of teams actively working on data + AI applications, it is clear the time is nigh. Every major technology shift sees initial adoption that is magnified once it reaches enterprise level reliability. Multiple times. 2023 was the year of GPUs.

Unstructured Data 52

Unstructured Data Data Banking Cloud Computing 52

Monte Carlo

JANUARY 6, 2025

5 Hard Truths About Generative AI for Technology Leaders 2. Building Ethical AI Starts with the Data Team Heres Why 3. How WHOOP Built and Launched a Reliable GenAI Chatbot Whats next for GenAI in 2025? Whats next for GenAI in 2025? Table of Contents 1. The 2024 State of Reliable AI Survey 4.

Insurance 52

Insurance Unstructured Data High Quality Data Government 52

Snowflake

MARCH 18, 2024

But there’s still a long way to go in an environment where the volume, velocity and complexity of data and data types is constantly increasing. By 2025 it’s estimated that there will be 7 petabytes of data generated every day compared with “just” 2.3 And it’s not just any type of data. petabytes daily in 2021.

Unstructured Data 111

Unstructured Data Government Data Pipeline Cloud 111

Snowflake

MAY 27, 2025

But for enterprises that are able to meet these challenges, 2025 will be the year of applied AI, where natural language interfaces (NLIs) will become more prevalent in everyday marketing workflows, democratizing data access and helping accelerate business outcomes. It's crucial to explore and adapt early and often.

Unstructured Data 93

Unstructured Data Government SQL Programming Language 93

ProjectPro

JUNE 6, 2025

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. billion in 2025. Do they build an ETL data pipeline? billion to USD 87.37

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

According to NASSCOM, the global big data analytics market is anticipated to reach $121 billion by 2016. Another research report by IDC predicts 27% compound annual growth rate for big data services and technologies by end of 2017 which equals 6 times the CAGR of the IT market as a whole.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

ProjectPro

JUNE 6, 2025

According to the US Bureau of Labor Statistics, data scientist jobs are predicted to experience significant growth of 36 percent between 2021 and 2031, while operations research analyst or data analyst jobs are projected to grow 23 percent. Due to this high demand and specialized skill set, data science jobs tend to pay well.

Business Analyst 40

Business Analyst Portfolio Data Mining Programming Language 40

Snowflake

JUNE 1, 2025

At Snowflake Summit 2025, we introduced innovations to make AI easy, efficient and trusted. 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.

Unstructured Data 90

Unstructured Data Google Cloud Government AWS 90

Monte Carlo

MARCH 12, 2025

Snowflake Summit 2025 is already almost here. Snowflake Summit 2025 , happening June 2-5, 2025 in San Francisco, is poised to be even bigger, better, and more innovative than the last. The Monte Carlo team is excited to be at Snowflake Summit 2025! Why Snowflake Summit 2025 Matters 3. Can you believe it?

Unstructured Data 52

Unstructured Data BI Data Architecture Architecture 52

ProjectPro

JUNE 6, 2025

Benefits of AI in Data Analytics Having understood the challenges with traditional analytics, it's time to understand the real, tangible benefits of using AI in data analytics—from faster decision-making to more inclusive access to valuable insights across teams.

Data Analytics 40

Data Analytics Unstructured Data BI Datasets 40

ProjectPro

JUNE 6, 2025

Data Engineering is the secret sauce to advances in data analysis and data science that we see nowadays. Data Engineering Roles - Who Handles What? As we can see, it turns out that the data engineering role requires a vast knowledge of different big data tools and technologies.

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40