ProjectPro

JUNE 6, 2025

Considering the Hadoop Job trends in 2010 about Hadoop development, there were none as organizations were not aware of what Hadoop is all about. What’s important to land a top gig as a Hadoop Developer is Hadoop interview preparation.

Hadoop 40

Hadoop Data Lake Programming Language Big Data 40

Data Engineering Podcast

AUGUST 3, 2021

Summary Data lake architectures have largely been biased toward batch processing workflows due to the volume of data that they are designed for. With more real-time requirements and the increasing use of streaming data there has been a struggle to merge fast, incremental updates with large, historical analysis.

Data Lake 130

Data Lake Data Warehouse Hadoop Kafka 130

Uber Engineering

OCTOBER 27, 2024

Ready to boost your Hadoop Data Lake security on GCP? Our latest blog dives into enabling security for Uber’s modernized batch data lake on Google Cloud Storage!

Cloud Storage 75

Cloud Storage Google Cloud Data Lake Hadoop 75

Snowflake

NOVEMBER 26, 2024

Many of our customers — from Marriott to AT&T — start their journey with the Snowflake AI Data Cloud by migrating their data warehousing workloads to the platform. That’s why we’ve collected these migration success stories to help you get started on your migration to Snowflake.

Data Warehouse 105

Data Warehouse Cloud PostgreSQL Data Lake 105

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. Why Apache Spark?

Hadoop 40

Hadoop Project Big Data Scala 40

Data Engineering Podcast

JULY 22, 2019

Summary The current trend in data management is to centralize the responsibilities of storing and curating the organization’s information to a data engineering team. This organizational pattern is reinforced by the architectural pattern of data lakes as a solution for managing storage and access.

Data Lake 100

Data Lake Hadoop Data Kafka 100

Data Engineering Podcast

JUNE 16, 2019

Summary Building and maintaining a data lake is a choose your own adventure of tools, services, and evolving best practices. The flexibility and freedom that data lakes provide allows for generating significant value, but it can also lead to anti-patterns and inconsistent quality in your analytics.

Data Lake 100

Data Lake Lambda Architecture Data Warehouse Hadoop 100

Data Engineering Podcast

NOVEMBER 20, 2021

Summary One of the perennial challenges posed by data lakes is how to keep them up to date as new data is collected. In this episode Ori Rafael shares his experiences from Upsolver and building scalable stream processing for integrating and analyzing data, and what the tradeoffs are when coming from a batch oriented mindset.

Data Lake 100

Data Lake Data Integration Lambda Architecture Process 100

Data Engineering Podcast

JUNE 23, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Data lakes in various forms have been gaining significant popularity as a unified interface to an organization's analytics. When is Fabric the wrong choice?

Data Lake 162

Data Lake High Quality Data Hadoop Government 162

Analytics Vidhya

MARCH 5, 2023

Introduction Microsoft Azure HDInsight(or Microsoft HDFS) is a cloud-based Hadoop Distributed File System version. A distributed file system runs on commodity hardware and manages massive data collections. It is a fully managed cloud-based environment for analyzing and processing enormous volumes of data.

Hadoop 254

Hadoop Data Collection Cloud Technology 254

ProjectPro

JUNE 6, 2025

Here’s a sneak-peak into what big data leaders and CIO’s predict on the emerging big data trends for 2017. The need for speed to use Hadoop for sentiment analysis and machine learning has fuelled the growth of hadoop based data stores like Kudu and adoption of faster databases like MemSQL and Exasol.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

Data Engineering Podcast

MARCH 24, 2024

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Data Lake 162

Data Lake High Quality Data Hadoop Data Pipeline 162

Precisely

MARCH 9, 2023

As cloud computing platforms make it possible to perform advanced analytics on ever larger and more diverse data sets, new and innovative approaches have emerged for storing, preprocessing, and analyzing information. Hadoop, Snowflake, Databricks and other products have rapidly gained adoption.

Data Lake 59

Data Lake Data Warehouse Hadoop Raw Data 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 Engineering Data Engineer Data Lake 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

Analytics Vidhya

FEBRUARY 27, 2023

Introduction Enterprises here and now catalyze vast quantities of data, which can be a high-end source of business intelligence and insight when used appropriately. Delta Lake allows businesses to access and break new data down in real time.

Data Lake 222

Data Lake Business Intelligence Designing Accessible 222

Data Engineering Podcast

JANUARY 21, 2024

In this episode Tasso Argyros, CEO of ActionIQ, gives a summary of the major epochs in database technologies and how he is applying the capabilities of cloud data warehouses to the challenge of building more comprehensive experiences for end-users through a modern customer data platform (CDP).

Data Lake 147

Data Lake High Quality Data NoSQL Data Warehouse 147

ProjectPro

JUNE 6, 2025

Relational databases and data warehouses contain structured data. Data lakes and non-relational databases can contain unstructured data. A data warehouse can contain unstructured data too. How does Network File System (NFS) differ from Hadoop Distributed File System (HDFS)?

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

phData: Data Engineering

NOVEMBER 8, 2024

Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature. However, this feature becomes an absolute must-have if you are operating your analytics on top of your data lake or lakehouse. It can also be integrated into major data platforms like Snowflake. Contact phData Today!

Architecture 52

Architecture Systems Data Lake Google Cloud 52

ProjectPro

JUNE 6, 2025

Explore what is Apache Iceberg, what makes it different, and why it’s quickly becoming the new standard for data lake analytics. Data lakes were born from a vision to democratize data, enabling more people, tools, and applications to access a wider range of data. It worked until it didn’t.

Architecture 40

Architecture Data Lake Metadata Cloud Storage 40

Data Engineering Podcast

FEBRUARY 5, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Your host is Tobias Macey and today I'm reflecting on the major trends in data engineering over the past 6 years Interview Introduction 6 years of running the Data Engineering Podcast Around the first time that data engineering was discussed as (..)

Data Engineering 147

Data Engineering Data Engineer Engineering PostgreSQL 147

ProjectPro

JUNE 6, 2025

Source Code: Build a Similar Image Finder Top 3 Open Source Big Data Tools This section consists of three leading open-source big data tools- Apache Spark , Apache Hadoop, and Apache Kafka. In Hadoop clusters , Spark apps can operate up to 10 times faster on disk. Hadoop, created by Doug Cutting and Michael J.

Big Data Tools 40

Big Data Tools Big Data Hadoop Kafka 40

Data Engineering Podcast

FEBRUARY 19, 2023

Because of their complete ownership of your data they constrain the possibilities of what data you can store and how it can be used. Can you describe what Iceberg is and its position in the data lake/lakehouse ecosystem? Can you describe what Iceberg is and its position in the data lake/lakehouse ecosystem?

IT 147

IT Data Lake Metadata Data Warehouse 147

ProjectPro

JUNE 6, 2025

Learn the A-Z of Big Data with Hadoop with the help of industry-level end-to-end solved Hadoop projects. Databricks vs. Azure Synapse: Architecture Azure Synapse architecture consists of three components: Data storage, processing, and visualization integrated into a single platform.

Programming Language 40

Programming Language Data Lake Scala Data Warehouse 40

ProjectPro

JUNE 6, 2025

Decide the process of Data Extraction and transformation, either ELT or ETL (Our Next Blog) Transforming and cleaning data to improve data reliability and usage ability for other teams from Data Science or Data Analysis. Dealing With different data types like structured, semi-structured, and unstructured data.

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

This blog covers the top ten AWS data engineering tools popular among data engineers across the big data industry. Amazon S3 Amazon Simple Storage Service or Amazon S3 is a data lake that can store any volume of data from any part of the internet.

AWS 52

AWS Data Engineering Data Engineer Project 52

ProjectPro

JUNE 6, 2025

Azure Data Factory is a cloud-based, fully managed, serverless ETL and data integration service offered by Microsoft Azure for automating data movement from its native place to, say, a data lake or data warehouse using ETL (extract-transform-load) OR extract-load-transform (ELT).

Data Lake 60

Data Lake Metadata SQL Datasets 60

Christophe Blefari

JANUARY 20, 2024

Data engineering inherits from years of data practices in US big companies. Hadoop initially led the way with Big Data and distributed computing on-premise to finally land on Modern Data Stack — in the cloud — with a data warehouse at the center. What is Hadoop? Is it really modern?

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Sync Computing

NOVEMBER 7, 2024

While data warehouses are still in use, they are limited in use-cases as they only support structured data. Data lakes add support for semi-structured and unstructured data, and data lakehouses add further flexibility with better governance in a true hybrid solution built from the ground-up.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Unstructured Data 52

Cloudera

FEBRUARY 14, 2019

Eventual consistency and other pitfalls can be a nightmare for engineers trying to migrate complex big data infrastructure to the cloud. As a Hadoop developer, I loved that! With the anticipated compatibility with the blob storage API, ADLS Gen2 really does become an ideal data store for a cloud “Data Hub”.

Data Lake 60

Data Lake Cloud Storage Hadoop Cloud 60

ProjectPro

JUNE 6, 2025

If you are willing to gain hands-on experience with Google BigQuery , you must explore the GCP Project to Learn using BigQuery for Exploring Data. Google Cloud Dataproc Dataproc is a fully-managed and scalable Spark and Hadoop Service that supports batch processing, querying, streaming, and machine learning.

Data Engineering 40

Data Engineering Data Engineer Engineering Google Cloud 40

ProjectPro

JUNE 6, 2025

You can use several datasets in this project covering various healthcare sources such as patient records, medical imaging data, electronic health records (EHRs), and hospital operational data. You will use Python libraries for data processing and transformation. This project enables you to do just that!

Data Integration 40

Data Integration Project Data Lake Hospitality 40

Monte Carlo

APRIL 24, 2023

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

ProjectPro

JUNE 6, 2025

A good place to start would be to try the Snowflake Real Time Data Warehouse Project for Beginners from the ProjectPro repository. Worried about finding good Hadoop projects with Source Code ? ProjectPro has solved end-to-end Hadoop projects to help you kickstart your Big Data career.

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

Data Engineering Podcast

OCTOBER 14, 2018

Summary With the growth of the Hadoop ecosystem came a proliferation of implementations for the Hive table format. The Hive format is also built with the assumptions of a local filesystem which results in painful edge cases when leveraging cloud object storage for a data lake. How does Iceberg help in that regard?

Data Lake 100

Data Lake Cloud Big Data Hadoop 100

ProjectPro

JUNE 6, 2025

They also enhance the data with customer demographics and product information from their databases. Data Storage Next, the processed data is stored in a permanent data store, such as the Hadoop Distributed File System (HDFS), for further analysis and reporting. Apache NiFi With over 4.1k

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

U-Next

SEPTEMBER 7, 2022

The terms “ Data Warehouse ” and “ Data Lake ” may have confused you, and you have some questions. Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. What is Data Lake? . Athena on AWS. .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52