ProjectPro

JUNE 6, 2025

Since data needs to be accessible easily, organizations use Amazon Redshift as it offers seamless integration with business intelligence tools and helps you train and deploy machine learning models using SQL commands. Amazon Redshift is helping over 10000 customers with its unique features and data analytics properties.

Data Pipeline 64

Data Pipeline AWS Project Building 64

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

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. The machine learning model endpoint is ready.

AWS 67

AWS SQL Big Data Raw Data 67

ProjectPro

JUNE 6, 2025

The demand for other data-related jobs like data engineers, business analysts , machine learning engineers, and data analysts is rising to cover up for this plateau. Build and deploy ETL/ELT data pipelines that can begin with data ingestion and complete various data-related tasks.

Data Engineer 58

Data Engineer Data Engineering Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

Smooth Integration with other AWS tools AWS Glue is relatively simple to integrate with data sources and targets like Amazon Kinesis , Amazon Redshift, Amazon S3, and Amazon MSK. It is also compatible with other popular data storage that may be deployed on Amazon EC2 instances.

AWS 66

AWS Scala Metadata Data Lake 66

ProjectPro

JUNE 6, 2025

During peak hours, the pipeline handles around ~8 million events per second, with a data throughput reaching ~24 gigabytes per second. This data infrastructure forms the backbone for analytics, machine learning algorithms , and other critical systems that drive content recommendations, user personalization, and operational efficiency.

Data Engineer 40

Data Engineer Data Engineering Engineering NoSQL 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

An AWS Data Scientist is a professional who combines expertise in data analysis, machine learning , and AWS technologies to extract meaningful insights from vast datasets. They are responsible for designing and implementing scalable, cost-effective AWS solutions, ensuring organizations can make data-driven decisions.

AWS 40

AWS Amazon Web Services Cloud Computing Data Science 40

ProjectPro

JUNE 6, 2025

.” said the McKinsey Global Institute (MGI) in its executive overview of last month's report: "The Age of Analytics: Competing in a Data-Driven World." 2016 was an exciting year for big data with organizations developing real-world solutions with big data analytics making a major impact on their bottom line.

Big Data 40

Big Data Hadoop Data Lake Data Governance 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

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

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. Use machine learning algorithms to predict winning probabilities or player success in upcoming matches. venues or weather).

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

ProjectPro

JUNE 6, 2025

It is best suited to store and retrieve numerical vector representations of items, including words, pictures, or documents, which are frequently employed to capture semantic content in machine learning models. It is built to work on high-dimensional vector data and scale while maintaining a minimal overhead.

Database 40

Database Project Metadata Unstructured Data 40

ProjectPro

JUNE 6, 2025

Apache Hive Architecture Apache Hive has a simple architecture with a Hive interface, and it uses HDFS for data storage. Data in Apache Hive can come from multiple servers and sources for effective and efficient processing in a distributed manner. Hive , for instance, does not support sub-queries and unstructured data.

Hadoop 45

Hadoop Java Big Data Tools SQL 45

Rockset

APRIL 18, 2023

Join me and Rockset VP of Engineering Louis Brandy for a tech talk, From Spam Fighting at Facebook to Vector Search at Rockset: How to Build Real-Time Machine Learning at Scale , on May 17th at 9am PT/ 12pm ET. Due to these difficulties, unstructured data has remained largely underutilized. Why use vector search?

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Monte Carlo

MARCH 3, 2025

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. In other words, the four ways data + AI products break: in the data, system, code, or model.

Unstructured Data 52

Unstructured Data Data Banking Cloud Computing 52

Snowflake

MARCH 18, 2024

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. The majority of it (80%) is now estimated to be unstructured data such as images, videos, and documents — a resource from which enterprises are still not getting much value.

Unstructured Data 111

Unstructured Data Government Data Pipeline Cloud 111

Cloudera

FEBRUARY 8, 2021

In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale. The vehicle-to-cloud solution driving advanced use cases.

Manufacturing 108

Manufacturing Machine Learning Electronics Data Ingestion 108

ProjectPro

JUNE 6, 2025

It is also possible to use BigQuery to directly export data from Google SaaS apps, Amazon S3, and other data warehouses, such as Teradata and Redshift. Furthermore, BigQuery supports machine learning and artificial intelligence, allowing users to use machine learning models to analyze their data.

Bytes 40

Bytes Google Cloud Data Warehouse Cloud Storage 40

ProjectPro

JUNE 6, 2025

Automated tools are developed as part of the Big Data technology to handle the massive volumes of varied data sets. Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. A Big Data Engineer also constructs, tests, and maintains the Big Data architecture.

Big Data 40

Big Data Data Engineer Data Engineering Engineering 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. This helps organizations to streamline their operations directly assessing Salesforce data in Snowflake for analysis and decision-making.

Data Analytics 40

Data Analytics MySQL PostgreSQL Data Lake 40

ProjectPro

JUNE 6, 2025

Below are some big data interview questions for data engineers based on the fundamental concepts of big data, such as data modeling, data analysis , data migration, data processing architecture, data storage, big data analytics, etc. Structured data usually consists of only text.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

With industries like finance, healthcare, and e-commerce increasingly relying on data-driven strategies, ETL engineers are crucial in managing vast data. Bureau of Labor Statistics projects a 22% growth rate for data engineers from 2020 to 2030, driven by the rise of big data, AI, and machine learning across various sectors.

Data Engineer 40

Data Engineer Data Engineering Engineering ETL Tools 40

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

JUNE 6, 2025

Apache Spark Apache Spark is a powerful open-source framework for distributed data processing. It provides various libraries for batch processing, real-time streaming , machine learning, and graph processing. Spark's in-memory computing capabilities make it suitable for handling large-scale data transformations efficiently.

Data Pipeline 40

Data Pipeline Building Retail Data Ingestion 40

Knowledge Hut

JANUARY 18, 2024

Top 10 Data Science Jobs for Freshers in 2023 As a fresher, you're probably curious about the various data science career options. This section will help you know the top 10 Data Scientist jobs for freshers. Roles and Responsibilities Design machine learning (ML) systems Select the most appropriate data representation methods.

Data Science 98

Data Science Data Architect Business Analyst ETL Method 98

ProjectPro

JUNE 6, 2025

Table of Contents What are Big Data Tools? Why Are Big Data Tools Valuable to Data Professionals? Traditional data tools cannot handle this massive volume of complex data, so several unique Big Data software tools and architectural solutions have been developed to handle this task.

Big Data Tools 40

Big Data Tools Big Data Hadoop BI 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

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

Snowflake

JULY 10, 2023

“California Air Resources Board has been exploring processing atmospheric data delivered from four different remote locations via instruments that produce netCDF files. Previously, working with these large and complex files would require a unique set of tools, creating data silos. ” U.S.

Unstructured Data 40

Unstructured Data Python Process Scala 40

ProjectPro

JUNE 6, 2025

They ensure the data flows smoothly and is prepared for analysis. Apache Hadoop Development and Implementation Big Data Developers often work extensively with Apache Hadoop , a widely used distributed data storage and processing framework.

Big Data 40

Big Data Hadoop Scala NoSQL 40

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

ProjectPro

JUNE 6, 2025

Let us compare traditional data warehousing and Hadoop-based BI solutions to better understand how using BI on Hadoop proves more effective than traditional data warehousing- Point Of Comparison Traditional Data Warehousing BI On Hadoop Solutions Data Storage Structured data in relational databases.

Hadoop 40

Hadoop BI Big Data Business Intelligence 40

ProjectPro

JUNE 6, 2025

Tips on How to Create an AI Project Successfully Learn how to Build an AI with ProjectPro! FAQs How to Start an AI Project: The Prerequisites Implementing AI systems requires a solid understanding of its various subsets, such as Data Analysis , Machine Learning (ML) , Deep Learning (DL) , and Natural Language Processing (NLP).

Project 40

Project Deep Learning Datasets Machine Learning 40

Striim

SEPTEMBER 11, 2024

Data Pipeline Use Cases Data pipelines are integral to virtually every industry today, serving a wide range of functions from straightforward data transfers to complex transformations required for advanced machine learning applications. Data storage Data storage follows.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Knowledge Hut

JANUARY 18, 2024

Data Science is an amalgamation of several disciplines, including computer science, statistics, and machine learning. As the world on the internet is becoming our second home, Big Data has exploded. Data Science is the study of this big data to derive a meaningful pattern.

Data Science 98

Data Science Amazon Web Services Finance Big Data 98

ProjectPro

JUNE 6, 2025

Industries such as healthcare and finance are at the forefront of this trend, with healthcare organizations focusing on improving patient outcomes through advanced analytics and financial institutions leveraging data to enhance risk management. The median annual salary for data scientists in the U.S.

Data Science 40

Data Science Machine Learning BI Certification 40