ProjectPro

JUNE 6, 2025

Parquet: Columnar storage format known for efficient compression and encoding, widely used in big data processing, especially in Apache Spark for data warehousing and analytics. Explain the difference between a Data Lake and a Data Warehouse. Are you a beginner looking for Hadoop projects?

Data Engineering

ProjectPro

JUNE 6, 2025

Their role includes designing data pipelines, integrating data from multiple sources, and setting up databases and data lakes that can support machine learning and analytics workloads. They work with various tools and frameworks, such as Apache Spark, Hadoop , and cloud services, to manage massive amounts of data.

Data Engineering

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

Teradata

MAY 30, 2025

Data federation Data federation is achieved through a combination of services that facilitate unified querying across disparate data sources: Amazon Athena offers serverless federation querying capabilities for AWS data lake and other data stores, such as Teradata.

AWS

ProjectPro

JUNE 6, 2025

Exponential Scalability With a faster approach, Synapse extracts insights from the data present in data warehouse and big data analytics systems. Using a basic SQL query, data engineers can combine relational and non-relational data in the data lake.

Data Engineering

ProjectPro

JUNE 6, 2025

Data Engineering Project You Must Explore Once you have completed this fundamental course, you must try working on the Hadoop Project to Perform Hive Analytics using SQL and Scala to help you brush up your skills. AWS, Azure, Google Cloud), machine learning algorithms/models, big data technologies (e.g., stars and 1,004 reviews.

Data Engineering

ProjectPro

JUNE 6, 2025

It also offers a unique architecture that allows users to quickly build tables and begin querying data without administrative or DBA involvement. Snowflake is a cloud-based data platform that provides excellent manageability regarding data warehousing, data lakes, data analytics, etc.

Architecture

ProjectPro

JUNE 6, 2025

Generally, data pipelines are created to store data in a data warehouse or data lake or provide information directly to the machine learning model development. Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives.

Data Pipeline

ProjectPro

JUNE 6, 2025

Key Responsibilities of a Data Engineer Here are the skills to hone for fulfilling the day-to-day responsibilities of a data engineer: Obtain data from third-party providers with the help of robust API integrations. Build, Design, and maintain data architectures using a systematic approach that satisfies business needs.

Data Engineering

ProjectPro

JUNE 6, 2025

Data Processing: This is the final step in deploying a big data model. Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink , and Pig, to mention a few. How is Hadoop related to Big Data? Explain the difference between Hadoop and RDBMS. Define and describe FSCK.

Big Data

ProjectPro

JUNE 6, 2025

Azure Data Engineer Associate DP-203 Certification Candidates for this exam must possess a thorough understanding of SQL , Python, and Scala , among other data processing languages. Must be familiar with data architecture, data warehousing, parallel processing concepts, etc.

Certification

ProjectPro

JUNE 6, 2025

Now is the ideal time to add big data skills to your resume and gain wings to fly around the job market with the multitude of big data jobs available today. Big Data careers span multiple domains Data Engineering, Data Science, Data Analytics, Data Architecture, and Business Analytics.

Big Data

ProjectPro

JUNE 6, 2025

Mid-Level Big Data Engineer Salary Big Data Software Engineer's Salary at the mid-level with three to six years of experience is between $79K-$103K. Knowledge and experience in Big Data frameworks, such as Hadoop , Apache Spark , etc., Data is the most significant element for any professional working in Data Science.

Big Data

ProjectPro

JUNE 6, 2025

As businesses continue to recognize the value of efficient data management, the demand for certified data engineers has surged. These roles typically involve working with large-scale data solutions, implementing data pipelines, and optimizing data architectures for performance and scalability.

Data Engineering

ProjectPro

JUNE 6, 2025

That's where acquiring the best big data certifications in specific big data technologies is a valuable asset that significantly enhances your chances of getting hired. Read below to determine which big data certification fits your requirements and works best for your career goals. Certification Program Fee: $585.0

Big Data

ProjectPro

JUNE 6, 2025

Microsoft offers an entry-level azure certification that validates your skills and knowledge of working with various Azure Data Services, including core concepts and technologies like Azure Data Lake , Azure Synapse Analytics, and Azure Data Factory. foundational knowledge of the IT sector and its advancements.

Certification

ProjectPro

JUNE 6, 2025

In addition to the above prerequisites, candidates should also have an understanding of parallel processing and data architecture patterns and practical experience with Azure services like Azure Data Factory , Azure Synapse Analytics, Azure Stream Analytics , Azure Event Hubs, Azure Data Lake Storage, and Azure Databricks.

Certification

Cloudera

DECEMBER 3, 2024

Cloudera’s open data lakehouse, powered by Apache Iceberg, solves the real-world big data challenges mentioned above by providing a unified, curated, shareable, and interoperable data lake that is accessible by a wide array of Iceberg-compatible compute engines and tools. Add a Policy in Ranger > Hadoop SQL.

Metadata

ProjectPro

JUNE 6, 2025

It focuses on the following key areas- Core Data Concepts- Understanding the basics of data concepts, such as relational and non-relational data, structured and unstructured data, data ingestion, data processing, and data visualization.

Certification

Snowflake

SEPTEMBER 14, 2023

More than 50% of data leaders recently surveyed by BCG said the complexity of their data architecture is a significant pain point in their enterprise. As a result,” says BCG, “many companies find themselves at a tipping point, at risk of drowning in a deluge of data, overburdened with complexity and costs.”

Data Architecture

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

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

Data Engineering Podcast

SEPTEMBER 7, 2020

In this episode he explains how it is designed to allow for querying and combining data where it resides, the use cases that such an architecture unlocks, and the innovative ways that it is being employed at companies across the world.

Architecture

Towards Data Science

FEBRUARY 15, 2023

In this context, data management in an organization is a key point for the success of its projects involving data. One of the main aspects of correct data management is the definition of a data architecture. What is Delta Lake? The data became useless. The Lakehouse architecture was one of them.

Data Lake

Towards Data Science

JANUARY 16, 2024

When I heard the words ‘decentralised data architecture’, I was left utterly confused at first! In my then limited experience as a Data Engineer, I had only come across centralised data architectures and they seemed to be working very well. New data formats emerged — JSON, Avro, Parquet, XML etc.

Data Warehouse

Cloudera

JUNE 13, 2024

The first time that I really became familiar with this term was at Hadoop World in New York City some ten or so years ago. There were thousands of attendees at the event – lining up for book signings and meetings with recruiters to fill the endless job openings for developers experienced with MapReduce and managing Big Data.

Hadoop

Data Engineering Podcast

AUGUST 19, 2019

Summary Managing big data projects at scale is a perennial problem, with a wide variety of solutions that have evolved over the past 20 years. One of the early entrants that predates Hadoop and has since been open sourced is the HPCC (High Performance Computing Cluster) system.

Big Data

ProjectPro

JANUARY 2, 2018

News on Hadoop - December 2017 Apache Impala gets top-level status as open source Hadoop tool.TechTarget.com, December 1, 2017. The main objective of Impala is to provide SQL-like interactivity to big data analytics just like other big data tools - Hive, Spark SQL, Drill, HAWQ , Presto and others. is all set to complete.

Hadoop

Data Engineering Podcast

NOVEMBER 18, 2019

Summary With the constant evolution of technology for data management it can seem impossible to make an informed decision about whether to build a data warehouse, or a data lake, or just leave your data wherever it currently rests. How does it influence the relevancy of data warehouses or data lakes?

Data Lake

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Data Lake

Data Engineering Podcast

SEPTEMBER 18, 2019

We have partnered with organizations such as O’Reilly Media, Dataversity, Corinium Global Intelligence, and Data Council. Upcoming events include the O’Reilly AI conference, the Strata Data conference, the combined events of the Data Architecture Summit and Graphorum, and Data Council in Barcelona.

Hadoop

Data Engineering Podcast

OCTOBER 21, 2019

We have partnered with organizations such as O’Reilly Media, Dataversity, Corinium Global Intelligence, Alluxio, and Data Council. Upcoming events include the combined events of the Data Architecture Summit and Graphorum, the Data Orchestration Summit, and Data Council in NYC.

Cloud

ProjectPro

APRIL 2, 2018

News on Hadoop - March 2018 Kyvos Insights to Host Session "BI on Big Data - With Instant Response Times" at the Gartner Data and Analytics Summit 2018.PRNewswire.com, Source : [link] ) The data lake continues to grow deeper and wider in the cloud era.Information-age.com, March 5 , 2018.

Hadoop

Data Engineering Podcast

JULY 8, 2019

We have partnered with organizations such as O’Reilly Media, Dataversity, and the Open Data Science Conference. Coming up this fall is the combined events of Graphorum and the Data Architecture Summit. We have partnered with organizations such as O’Reilly Media, Dataversity, and the Open Data Science Conference.

Data Warehouse

ProjectPro

NOVEMBER 14, 2015

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. Data Migration 2.

Hadoop

AltexSoft

OCTOBER 30, 2021

There are different ways how data can be stored: a data warehouse, numerous data lakes and data hubs , etc. Data engineers control how data is stored and structured within those locations. Providing data access tools. An overview of data engineer skills. Data warehousing.

Data Engineering

AltexSoft

FEBRUARY 11, 2023

To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. Sample of a high-level data architecture blueprint for Azure BI programs.

Data Architect