ProjectPro

JUNE 6, 2025

It uses a distributed architecture to scale out and handle large amounts of data. Learn more about real-world big data applications with unique examples of big data projects. Build a job-winning Big Data portfolio with end-to-end solved Apache Spark Projects for Resume and ace that Big Data interview!

Database 58

Database SQL Cloud Data Management 58

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

Big Data Engineer is one of the most popular job profiles in the data industry. This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2 How Much Does a Big Data Engineer Make?

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

Embarking on the journey of big data opens up a world of amazing career opportunities that can make a difference in people's lives. 2023 is the best time to explore this exciting field by pursuing the top big data certifications. Table of Contents Why Should You Acquire a Big Data Certification?

Big Data 40

Big Data Certification Amazon Web Services Hadoop 40

Precisely

JANUARY 9, 2025

The goal of this post is to understand how data integrity best practices have been embraced time and time again, no matter the technology underpinning. In the beginning, there was a data warehouse The data warehouse (DW) was an approach to data architecture and structured data management that really hit its stride in the early 1990s.

Data Integration 119

Data Integration Data Warehouse Hadoop Data Lake 119

Knowledge Hut

MARCH 7, 2024

Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques. With the rise in opportunities related to Big Data, challenges are also bound to increase. Below are the 5 major Big Data challenges that enterprises face in 2024: 1.

Big Data 98

Big Data Bytes Data Governance Government 98

LinkedIn Engineering

JULY 19, 2023

We’ll also introduce OpenHouse’s control plane, specifics of the deployed system at LinkedIn including our managed Iceberg lakehouse, and the impact and roadmap for future development of OpenHouse, including a path to open source.

Big Data 78

Big Data Data Management Management Metadata 78

ProjectPro

JUNE 6, 2025

It is difficult to stay up-to-date with the latest developments in IT industry especially in a fast growing area like big data where new big data companies, products and services pop up daily. With the explosion of Big Data, Big data analytics companies are rising above the rest to dominate the market.

Big Data 40

Big Data Hadoop Business Analyst Data Analytics 40

Knowledge Hut

APRIL 25, 2024

Big data in information technology is used to improve operations, provide better customer service, develop customized marketing campaigns, and take other actions to increase revenue and profits. It is especially true in the world of big data. It is especially true in the world of big data.

Big Data 98

Big Data Technology NoSQL Hadoop 98

ProjectPro

JUNE 6, 2025

With so much riding on the efficiency of ETL processes for data engineering teams, it is essential to take a deep dive into the complex world of ETL on AWS to take your data management to the next level. This is particularly useful for companies that need to process data in near-real-time.

AWS 40

AWS Data Management ETL Tools Management 40

KDnuggets

JANUARY 20, 2023

Software companies can manage big data at a hyper-scale on different infrastructure stacks using Apache Gobblin.

Data Management 119

Data Management Management Big Data Data 119

ProjectPro

JUNE 6, 2025

Big data and Data Science are among the fastest growing professions in 2016 and there is no better way to stay informed on the latest trends and technologies in the big data space than by attending one of the top big data conferences. Table of Contents Why you should attend a Big Data Conference?

Big Data 40

Big Data Data Mining Hadoop R (Programming) 40

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? How does it work?

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Towards Data Science

JANUARY 17, 2024

Parquet vs ORC vs Avro vs Delta Lake Photo by Viktor Talashuk on Unsplash The big data world is full of various storage systems, heavily influenced by different file formats. These are key in nearly all data pipelines, allowing for efficient data storage and easier querying and information extraction. schema(schema).load("s3a://mybucket/ten_million_parquet.csv")

Big Data 97

Big Data Data Data Storage SQL 97

Pinterest Engineering

JULY 25, 2023

CVS will never return the base IAM role with no Managed Policies attached, so no response will ever get access to all FGAC-controlled data. In the next section, we elaborate how we integrated CVS into Hadoop to provide FGAC capabilities for our Big Data platform. QueryBook uses OAuth to authenticate users.

Accessible 98

Accessible Accessibility Big Data Hadoop 98

Cloudera

OCTOBER 20, 2022

Government networks are managed by CIOs and CISOs, with the CDO — the newest CXO position — shaping policies to handle data in support of government missions. These tools are used to analyze a plethora of network data. BDPs can also hold data for longer periods of time and examine it to enable pattern correlation.

Big Data 75

Big Data Transportation Government Healthcare 75

ProjectPro

JUNE 6, 2025

Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever. Big data helps businesses increase operational efficiency, creating a better balance between performance, flexibility, and pricing. billion by 2026? So, how do we overcome this challenge?

AWS 66

AWS Scala Metadata Data Lake 66

Knowledge Hut

APRIL 23, 2024

Thus, it is no wonder that the origin of big data is a topic many big data professionals like to explore. The historical development of big data, in one form or another, started making news in the 1990s. These systems hamper data handling to a great extent because errors usually persist.

Big Data 52

Big Data Amazon Web Services Cloud Computing Media 52

KDnuggets

MAY 19, 2022

Read the best books on Programming, Statistics, Data Engineering, Web Scraping, Data Analytics, Business Intelligence, Data Applications, Data Management, Big Data, and Cloud Architecture.

Data Science 160

Data Science Business Intelligence Big Data Architecture 160

Knowledge Hut

APRIL 23, 2024

With the advent of technology and the arrival of modern communications systems, computer science professionals worldwide realized big data size and value. As big data evolves and unravels more technology secrets, it might help users achieve ambitious targets. Top 10 Disadvantages of Big Data 1.

Big Data 52

Big Data Media Government Big Data Skills 52

Knowledge Hut

APRIL 23, 2024

Data storing and processing is nothing new; organizations have been doing it for a few decades to reap valuable insights. Compared to that, Big Data is a much more recently derived term. So, what exactly is the difference between Traditional Data and Big Data? Traditional Data uses centralized architecture.

Big Data 52

Big Data Relational Database Data Transportation 52

ProjectPro

JUNE 6, 2025

Another reason to use data engineering tools is that they support the process of transforming data. This is important since big data can be structured or unstructured or any other format. Therefore, data engineers need data transformation tools to transform and process big data into the desired format.

Data Engineering 45

Data Engineering Data Engineer Engineering Kafka 45

ProjectPro

JUNE 6, 2025

This helps data scientists and business analysts access and analyze all the data at their disposal. To gain a deeper understanding of Databricks Delta Lake and how it can revolutionize the way we approach data management, read on. Delta Lake is a game-changer for big data.

Data Lake 63

Data Lake Data Warehouse Metadata BI 63

ProjectPro

JUNE 6, 2025

According to the Data Management Body of Knowledge, a Data Architect "provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture."

Data Architect 40

Data Architect Data Mining Programming Language Java 40

Knowledge Hut

APRIL 25, 2024

One of the industries with the quickest growth rates is big data. It refers to gathering and processing sizable amounts of data to produce insights that may be used by an organization to improve its various facets. You must become familiar with the fundamental elements of big data to comprehend it effectively.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Knowledge Hut

DECEMBER 27, 2023

Accessing and storing huge data volumes for analytics was going on for a long time. But ‘big data’ as a concept gained popularity in the early 2000s when Doug Laney, an industry analyst, articulated the definition of big data as the 3Vs. What is Big Data? Some examples of Big Data: 1.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

ProjectPro

JUNE 6, 2025

Looking for the best ETL tool in the market for your big data projects ? Explore Talend’s various data integration products, and architecture in-depth to become a Talend professional in 2022. Why Use Talend ETL Tool For Big Data Projects? Why Use Talend ETL Tool For Big Data Projects?

ETL Tools 45

ETL Tools Big Data Java Metadata 45

ProjectPro

JUNE 6, 2025

In reference to Big Data) Developers of Google had taken this quote seriously, when they first published their research paper on GFS (Google File System) in 2003. Little did anyone know, that this research paper would change, how we perceive and process data. Without much ado, let’s begin with Hadoop explained in detail.

Hadoop 45

Hadoop IT Big Data Retail 45

Monte Carlo

JANUARY 12, 2024

The concept of big data – complicated datasets that are too dense for traditional computing setups to deal with – is nothing new. But what is new, or still developing at least, is the extent to which data engineers can manage, data scientists can experiment, and data analysts can analyze this treasure trove of raw business insights.

Big Data 59

Big Data Data Analytics Data Science Data Lake 59

ProjectPro

JUNE 6, 2025

Azure Data Factory 2. Azure Data Lake Storage 7. Azure Logic Apps Azure ETL Best Practices for Big Data Projects Get Your Hands-on Azure ETL Projects with ProjectPro! It also enables data transformation using compute services such as Azure HDInsight Hadoop, Spark, Azure Data Lake Analytics, and Azure Machine Learning.

ETL Tools 40

ETL Tools Data Engineer Data Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

If you're wondering how the ETL process can drive your company to a new era of success, this blog will help you discover what use cases of ETL make it a critical component in many data management and analytic systems. The ETL approach can minimize your effort while maximizing the value of the data gathered.

BI 45

BI ETL Tools Retail Healthcare 45

ProjectPro

JUNE 6, 2025

Apache Hive and Apache Spark are the two popular Big Data tools available for complex data processing. To effectively utilize the Big Data tools, it is essential to understand the features and capabilities of the tools. Begin Your Big Data Journey with ProjectPro's Project-Based PySpark Online Course !

Hadoop 45

Hadoop Java Big Data Tools SQL 45

Knowledge Hut

APRIL 23, 2024

In today's data-driven world, the volume and variety of information are growing unprecedentedly. As organizations strive to gain valuable insights and make informed decisions, two contrasting approaches to data analysis have emerged, Big Data vs Small Data. Small Data is collected and processed at a slower pace.

Big Data 52

Big Data Datasets Data Analysis Media 52

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. Data analysis and visualization have traditionally been a common goal for businesses.

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

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. HBase vs. Cassandra - What’s the Difference?

NoSQL 40

NoSQL Database Hadoop Big Data 40

ProjectPro

JUNE 6, 2025

Organizations are currently using big data as a beneficial approach to gain a competitive edge over their competitors by correctly leveraging the data. Businesses are estimated to have invested $215 billion in the last few years in building big data and business analytics solutions. What does a Data Modeler do?

NoSQL 40

NoSQL ETL Tools Certification SQL 40

ProjectPro

JUNE 6, 2025

With the rise of digital technology, the amount of data available to enterprises is exponentially growing. New techniques, including machine learning and AI, are also emerging for interacting with data. ETL (Extract, Transform, Load), the backbone of data management, continues to underpin these contemporary data techniques.

ETL Tools 40

ETL Tools Project MySQL Banking 40