Data Engineering Podcast

MARCH 27, 2022

The growing prominence of cloud and hybrid environments in data management adds additional stress to an already complex endeavor. Privacera is an enterprise grade solution for cloud and hybrid data governance built on top of the robust and battle tested Apache Ranger project. Can you describe what Privacera is and the story behind it?

Data Governance 130

Data Governance Government Cloud Building 130

Cloudera

MAY 18, 2021

Prior the introduction of CDP Public Cloud, many organizations that wanted to leverage CDH, HDP or any other on-prem Hadoop runtime in the public cloud had to deploy the platform in a lift-and-shift fashion, commonly known as “Hadoop-on-IaaS” or simply the IaaS model. Cloudera subscription and compute costs.

Hadoop 86

Hadoop Cloud AWS Utilities 86

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. To come to the right decision, we need to divide this big question into several smaller ones — namely: What is Hadoop? To come to the right decision, we need to divide this big question into several smaller ones — namely: What is Hadoop? scalability.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

ProjectPro

JUNE 6, 2025

Is Hadoop a data lake or data warehouse? The data warehouse layer consists of the relational database management system (RDBMS) that contains the cleaned data and the metadata, which is data about the data. Recommended Reading: Is Hadoop Going To Replace Data Warehouse? Is Hadoop a data lake or data warehouse?

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Review the Upgrade document topic for the supported upgrade paths.

Cloud 132

Cloud Kafka Professional Services Metadata 132

ProjectPro

JUNE 6, 2025

Why Learn Cloud Computing Skills? The job market in cloud computing is growing every day at a rapid pace. A quick search on Linkedin shows there are over 30000 freshers jobs in Cloud Computing and over 60000 senior-level cloud computing job roles. What is Cloud Computing? Thus came in the picture, Cloud Computing.

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

Cloudera

DECEMBER 3, 2024

REST Catalog Value Proposition It provides open, metastore-agnostic APIs for Iceberg metadata operations, dramatically simplifying the Iceberg client and metastore/engine integration. It provides real time metadata access by directly integrating with the Iceberg-compatible metastore. Add a Policy in Ranger > Hadoop SQL.

Metadata 84

Metadata SQL Data Warehouse Database 84

ProjectPro

JUNE 6, 2025

Executing ETL tasks in the cloud is fast and simple with AWS Glue. AWS Glue vs. EMR Spark - Definition Amazon EMR is a cloud-based service that primarily uses Amazon S3 to hold data sets for analysis and processing outputs and employs Amazon EC2 to analyze big data across a network of virtual servers. FAQs on AWS Glue vs. EMR 1.

Big Data 52

Big Data AWS Amazon Web Services Project 52

ProjectPro

JUNE 6, 2025

How to Build a Data Lake on Hadoop? Data Lake Architecture- Core Foundations Data lake architecture is often built on scalable storage platforms like Hadoop Distributed File System (HDFS) or cloud services like Amazon S3, Azure Data Lake, or Google Cloud Storage. How to Build a Data Lake on Azure?

Data Lake 40

Data Lake Building Hadoop Raw Data 40

ProjectPro

JUNE 6, 2025

Big data , Hadoop, Hive —these terms embody the ongoing tech shift in how we handle information. Hive is a data warehousing and SQL-like query language system built on top of Hadoop. Hive provides a high-level abstraction over Hadoop's MapReduce framework, enabling users to interact with data using familiar SQL syntax.

Big Data 40

Big Data Architecture Project Hadoop 40

Data Engineering Podcast

FEBRUARY 5, 2023

Sign up now for early access to Materialize and get started with the power of streaming data with the same simplicity and low implementation cost as batch cloud data warehouses. Go to [dataengineeringpodcast.com/materialize]([link] Support Data Engineering Podcast

Data Engineering 147

Data Engineering Data Engineer Engineering PostgreSQL 147

ProjectPro

JUNE 6, 2025

Introduced by Facebook in 2009, it brought structure to chaos and allowed SQL access to Hadoop data. The result was Apache Iceberg, a modern table format built to handle the scale, performance, and flexibility demands of today’s cloud-native data architectures. Metadata Layer 3. It worked until it didn’t.

Architecture 40

Architecture Data Lake Metadata Cloud Storage 40

ProjectPro

JUNE 6, 2025

This growth is due to the increasing adoption of cloud-based data integration solutions such as Azure Data Factory. If you have heard about cloud computing , you would have heard about Microsoft Azure as one of the leading cloud service providers in the world, along with AWS and Google Cloud. What is Azure Data Factory?

Data Lake 60

Data Lake Metadata SQL Datasets 60

ProjectPro

JUNE 6, 2025

Data engineers can effectively create web-based cloud solutions that expand automatically and have flexible setups owing to Amazon S3. Amazon Kinesis Amazon Kinesis offers several managed cloud-based services to collect and analyze streaming data in real time.

AWS 52

AWS Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 6, 2025

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. 2) Big Data is no longer just Hadoop A common misconception is that Big Data and Hadoop are synonymous.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

phData: Data Engineering

NOVEMBER 8, 2024

Then, we add another column called HASHKEY , add more data, and locate the S3 file containing metadata for the iceberg table. Hence, the metadata files record schema and partition changes, enabling systems to process data with the correct schema and partition structure for each relevant historical dataset.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Cloudera

AUGUST 10, 2021

With the release of CDP Private Cloud (PvC) Base 7.1.7, Apache Ozone enhancements deliver full High Availability providing customers with enterprise-grade object storage and compatibility with Hadoop Compatible File System and S3 API. . Figure 8: Data lineage based on Kafka Atlas Hook metadata.

Cloud 97

Cloud Kafka Metadata SQL 97

ProjectPro

JUNE 6, 2025

As per the surveyors, Big data (35 percent), Cloud computing (39 percent), operating systems (33 percent), and the Internet of Things (31 percent) are all expected to be impacted by open source shortly. Apache Beam Source: Google Cloud Platform Apache Beam is an advanced unified programming open-source model launched in 2016.

Big Data 49

Big Data Project Metadata Programming Language 49

Data Engineering Podcast

FEBRUARY 19, 2023

Summary Cloud data warehouses have unlocked a massive amount of innovation and investment in data applications, but they are still inherently limiting. Acryl]([link] The modern data stack needs a reimagined metadata management platform. Acryl]([link] The modern data stack needs a reimagined metadata management platform.

IT 147

IT Data Lake Metadata Data Warehouse 147

Christophe Blefari

JUNE 21, 2024

Snowflake and Databricks have the same goal, both are selling a cloud on top of classic 1  cloud vendors. Both companies have added Data and AI to their slogan, Snowflake used to be The Data Cloud and now they're The AI Data Cloud. But there are a few issues with Parquet.

Metadata 147

Metadata Data Warehouse BI Scala 147

Cloudera

JULY 15, 2021

The release of Cloudera Data Platform (CDP) Private Cloud Base edition provides customers with a next generation hybrid cloud architecture. Private Cloud Base Overview. The storage layer for CDP Private Cloud, including object storage. Traditional data clusters for workloads not ready for cloud. Edge or Gateway.

Architecture 102

Architecture Cloud Kafka Hadoop 102

ProjectPro

JUNE 6, 2025

Want to put your cloud computing skills to the test? Dive into these innovative cloud computing projects for big data professionals and learn to master the cloud! Cloud computing has revolutionized how we store, process, and analyze big data, making it an essential skill for professionals in data science and big data.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

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.

Data Lake 100

Data Lake Cloud Big Data Hadoop 100

ProjectPro

JUNE 6, 2025

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? As a result, it must combine with other cloud-based data platforms, if not HDFS.

Data Engineering 45

Data Engineering Data Engineer Engineering Kafka 45

ProjectPro

JUNE 6, 2025

to achieve scalability in their web applications and cloud management at a massive scale. These include location-oriented services for geospatial, cloud , and synchronization services. However, with MongoDB, users can incorporate all data types and metadata while building robust web applications.

MongoDB 66

MongoDB Coding Project NoSQL 66

Cloudera

OCTOBER 15, 2021

Apache Ozone is a distributed, scalable, and high performance object store, available with Cloudera Data Platform Private Cloud. CDP Private Cloud uses Ozone to separate storage from compute, which enables it to handle billions of objects on-premises, akin to Public Cloud deployments which benefit from the likes of S3.

Cloud 87

Cloud Hadoop Data Analytics Metadata 87

ProjectPro

JUNE 6, 2025

Databricks is a cloud-based data warehousing platform for processing, analyzing, storing, and transforming large amounts of data to build machine learning models. Learn the A-Z of Big Data with Hadoop with the help of industry-level end-to-end solved Hadoop projects. Pricing The pricing of Azure Synapse is more complex.

Programming Language 40

Programming Language Data Lake Scala Data Warehouse 40

ProjectPro

JUNE 6, 2025

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. Data Variety Hadoop stores structured, semi-structured and unstructured data. Hardware Hadoop uses commodity hardware.

Big Data 40

Big Data Hadoop Relational Database AWS 40

ProjectPro

JUNE 6, 2025

As the demand for big data grows, an increasing number of businesses are turning to cloud data warehouses. The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market.

Architecture 56

Architecture IT Data Warehouse Amazon Web Services 56

ProjectPro

JUNE 6, 2025

Big data tools are ideal for various use cases, such as ETL , data visualization , machine learning , cloud computing , etc. 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.

Big Data Tools 40

Big Data Tools Big Data Hadoop BI 40

Christophe Blefari

JANUARY 20, 2024

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? It's important to understand the distributed computing concepts, MapReduce , Hadoop distributions , data locality , HDFS.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

ProjectPro

JUNE 6, 2025

Apache Hbase was developed after the architecture of Google's NoSQL database - Bigtable - to run on HDFS in Hadoop systems. These overheads include the client asking Zookeeper the server’s address that stores the metadata for all tables. It involves some effort in creating an initial setup in the absence of Hadoop/HDFS.

NoSQL 40

NoSQL Database Hadoop Big Data 40

ProjectPro

JUNE 6, 2025

This article will give you a sneak peek into the commonly asked HBase interview questions and answers during Hadoop job interviews. But at that moment, you cannot remember, and then blame yourself mentally for not preparing thoroughly for your Hadoop Job interview. HBase provides real-time read or write access to data in HDFS.

Hadoop 40

Hadoop Bytes Metadata MongoDB 40

Teradata

MAY 30, 2025

schema.yml`: YAML file defining metadata, tests, and descriptions for the models in this directory. schema.yml`: YAML file defining metadata, tests, and descriptions for the staging models. py Dagster project directory structure: pyproject.toml: This file is used for managing project metadata and dependencies. toml │ setup.

Data Integration 52

Data Integration Raw Data Metadata Data Pipeline 52

ProjectPro

JUNE 6, 2025

Talend is a leading ETL and big data integration software with an open-source environment for data planning, integration, processing, and cloud storage. The open-source edition allows you to integrate big data , cloud computing , and ETL operations using the 900+ components and connectors. Why Use Talend ETL Tool For Big Data Projects?

ETL Tools 45

ETL Tools Big Data Java Metadata 45

ProjectPro

JUNE 6, 2025

Cloud computing has made it easier for businesses to move their data to the cloud for better scalability, performance, solid integrations, and affordable pricing. Now, thanks to the agility of the cloud, data can be stored in its natural state, and alterations can be made during read operations.

AWS 40

AWS Data Management ETL Tools Management 40

ProjectPro

JUNE 6, 2025

What are the advantages of a cloud-based data warehouse? The advantages of a cloud-based data warehouse are listed below: Reduced Cost : Reduced cost is one of the main benefits of using a cloud-based data warehouse. Increased Efficiency: Cloud data warehouses frequently split the workload among multiple servers.

Data Warehouse 40

Data Warehouse Data Mining Recruitment Database 40