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 Engineer 147

Data Engineer Data Engineering Engineering PostgreSQL 147

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

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

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 Big Data Cloud Hadoop 100

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 MySQL 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

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

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 Engineer 130

Data Engineer Data Engineering Engineering Hadoop 130

Cloudera

JUNE 25, 2021

Many Cloudera customers are making the transition from being completely on-prem to cloud by either backing up their data in the cloud, or running multi-functional analytics on CDP Public cloud in AWS or Azure. Configure the required ports to enable connectivity from CDH to CDP Public Cloud (see docs for details).

Cloud 73

Cloud Data Lake Cloud Storage Metadata 73

Cloudera

APRIL 22, 2021

This CVD is built using Cloudera Data Platform Private Cloud Base 7.1.5 Collects and aggregates metadata from components and present cluster state. Metadata in cluster is disjoint across components. Cloudera and Cisco have tested together with dense storage nodes to make this a reality. . Cisco Data Intelligence Platform.

Pipeline-centric 101

Pipeline-centric Data Lake Hadoop Big Data 101

Data Engineering Podcast

MAY 18, 2021

Their SDKs and plugins make event streaming easy, and their integrations with cloud applications like Salesforce and ZenDesk help you go beyond event streaming. With Molecula, data engineers manage one single feature store that serves the entire organization with millisecond query performance whether in the cloud or at your data center.

Metadata 100

Metadata Kafka Data Warehouse Hadoop 100

ProjectPro

JANUARY 12, 2016

Choosing the right Hadoop Distribution for your enterprise is a very important decision, whether you have been using Hadoop for a while or you are a newbie to the framework. Different Classes of Users who require Hadoop- Professionals who are learning Hadoop might need a temporary Hadoop deployment.

Hadoop 52

Hadoop Big Data Java Metadata 52

Cloudera

SEPTEMBER 15, 2022

It was designed as a native object store to provide extreme scale, performance, and reliability to handle multiple analytics workloads using either S3 API or the traditional Hadoop API. In this blog post, we will talk about a single Ozone cluster with the capabilities of both Hadoop Core File System (HCFS) and Object Store (like Amazon S3).

Systems 87

Systems Hadoop Metadata Telecommunication 87

Confluent

JULY 1, 2019

When a client (producer/consumer) starts, it will request metadata about which broker is the leader for a partition—and it can do this from any broker. Brokers in the cloud (e.g., AWS EC2) and on-premises machines locally (or even in another cloud). This is the metadata that’s passed back to clients. The default is 0.0.0.0,

Kafka 101

Kafka Metadata AWS Bytes 101

Cloudera

OCTOBER 5, 2021

The RMS was included in CDP Private Cloud Base 7.1.4 as tech preview and became GA in CDP Private Cloud Base 7.1.5. . With the introduction of Ranger RMS in CDP Private Cloud Base 7.1.4, Instead, it generates a mapping that allows the Ranger Plugin in HDFS to make run-time decisions based on the Hadoop SQL grants.

Hadoop 96

Hadoop SQL Database Accessibility 96

Cloudera

MARCH 9, 2021

In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise. Atlas provides open metadata management and governance capabilities to build a catalog of all assets, and also classify and govern these assets.

Data Governance 97

Data Governance Government Metadata Datasets 97

Cloudera

AUGUST 10, 2021

This article assumes that you have a CDP Private Cloud Base cluster 7.1.5 Using the Hadoop CLI. If you’re bringing your own, it’s as simple as creating the bucket in Ozone using the Hadoop CLI and putting the data you want there: hdfs dfs -mkdir ofs://ozone1/data/tpc/test. Before we begin. ozone sh bucket list /data.

Hadoop 105

Hadoop Kafka Datasets Government 105

Data Engineering Podcast

FEBRUARY 13, 2022

Today’s episode is Sponsored by Prophecy.io – the low-code data engineering platform for the cloud. You can observe your pipelines with built in metadata search and column level lineage. How does the availability of the managed cloud service change the user profiles that you can target?

Building 100

Building Hadoop Data Pipeline Metadata 100

Data Engineering Podcast

JUNE 8, 2021

Their SDKs and plugins make event streaming easy, and their integrations with cloud applications like Salesforce and ZenDesk help you go beyond event streaming. With Census, just write SQL or plug in your dbt models and start syncing your cloud warehouse to SaaS applications like Salesforce, Marketo, Hubspot, and many more.

Data Warehouse 100

Data Warehouse Hadoop Metadata Architecture 100

Cloudera

AUGUST 21, 2020

The Corner Office is pressing their direct reports across the company to “Move To The Cloud” to increase agility and reduce costs. a deeper cloud vs. on-prem cost/benefit analysis raises more questions about moving these complex systems to the cloud: Is moving this particular operation to the cloud the right option right now ? .

Hadoop 76

Hadoop Big Data Cloud Kafka 76

Data Engineering Podcast

MARCH 22, 2021

Their SDKs and plugins make event streaming easy, and their integrations with cloud applications like Salesforce and ZenDesk help you go beyond event streaming. e.g. APIs and third party data sources How can we integrage CDC into metadata/lineage tooling? How do you handle observability of CDC flows?

Data Warehouse 100

Data Warehouse Metadata Hadoop Data Lake 100

Cloudera

NOVEMBER 22, 2021

Explosion of data availability from a variety of sources, including on-premises data stores used by enterprise data warehousing / data lake platforms, data on cloud object stores typically produced by heterogenous, cloud-only processing technologies, or data produced by SaaS applications that have now evolved into distinct platform ecosystems (e.g.,

Hadoop 94

Hadoop Government Data Security Cloud 94

Cloudera

NOVEMBER 10, 2021

This blog post provides CDH users with a quick overview of Ranger as a Sentry replacement for Hadoop SQL policies in CDP. Apache Sentry is a role-based authorization module for specific components in Hadoop. It is useful in defining and enforcing different levels of privileges on data for users on a Hadoop cluster.

Hadoop 78

Hadoop SQL Database Kafka 78

Cloudera

SEPTEMBER 23, 2020

In this blogpost, we are going to take a look at some of the OpDB related security features of a CDP Private Cloud Base deployment. Access audits are mastered centrally in Apache Ranger which provides comprehensive non-repudiable audit log for every access event to every resource with rich access event metadata such as: IP.

Database 84

Database Data Lake Metadata Java 84

Cloudera

AUGUST 14, 2020

One key part of the fault injection service is a very lightweight passthrough fuse file system that is used by Ozone for storing all its persistent data and metadata. The APIs are generic enough that we could target both Ozone data and metadata for failure/corruption/delays. Introducing Apache Hadoop Ozone. NetFilter Extension.

Hadoop 96

Hadoop Bytes Metadata Programming Language 96

Cloudera

NOVEMBER 8, 2022

It enables cloud-native applications to store and process mass amounts of data in a hybrid multi-cloud environment and on premises. These could be traditional analytics applications like Spark, Impala, or Hive, or custom applications that access a cloud object store natively. This results in write amplification. 2] HDDS-4454.

Metadata 84

Metadata Algorithm Hadoop Cloud 84

Data Engineering Weekly

JUNE 29, 2023

Databricks and Snowflake are better places to index the data and its metadata to enable natural language query capabilities. The question remains how far the data catalog tools can go with just the metadata. I exclude Google Cloud since I rarely see Google Cloud users using either Snowflake or Databricks.

Data Engineer 76

Data Engineer Data Engineering Google Cloud Engineering 76

ProjectPro

AUGUST 21, 2015

With the help of ProjectPro’s Hadoop Instructors, we have put together a detailed list of big data Hadoop interview questions based on the different components of the Hadoop Ecosystem such as MapReduce, Hive, HBase, Pig, YARN, Flume, Sqoop , HDFS, etc. What is the difference between Hadoop and Traditional RDBMS?

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

NOVEMBER 7, 2016

Understanding the Hadoop architecture now gets easier! This blog will give you an indepth insight into the architecture of hadoop and its major components- HDFS, YARN, and MapReduce. We will also look at how each component in the Hadoop ecosystem plays a significant role in making Hadoop efficient for big data processing.

Hadoop 40

Hadoop Architecture IT Big Data 40

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

Booking.com Engineering

DECEMBER 2, 2022

In this article, we want to illustrate our extensive use of the public cloud, specifically Google Cloud Platform (GCP). BigQuery saves us substantial time — instead of waiting for hours in Hive/Hadoop, our median query run time is 20 seconds for batch, and 2 seconds for interactive queries[3].

Systems 52

Systems Cloud MySQL Relational Database 52

AltexSoft

OCTOBER 21, 2022

A single cluster can span across multiple data centers and cloud facilities. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift. The hybrid data platform supports numerous Big Data frameworks including Hadoop and Spark , Flink, Flume, Kafka, and many others. Kafka vs Hadoop.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

Cloudera

DECEMBER 7, 2020

Apache Hadoop Distributed File System (HDFS) is the most popular file system in the big data world. The Apache Hadoop File System interface has provided integration to many other popular storage systems like Apache Ozone, S3, Azure Data Lake Storage etc. Migrating file systems thus requires a metadata update. .

Systems 61

Systems Hadoop Metadata Datasets 61

ProjectPro

AUGUST 11, 2021

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 52

Data Lake Data Warehouse Cloud Hadoop 52

Data Engineering Weekly

DECEMBER 29, 2022

Data Catalog as a passive web portal to display metadata requires significant rethinking to adopt modern data workflow, not just adding “modern” in its prefix. I know that is an expensive statement to make😊 To be fair, I’m a big fan of data catalogs, or metadata management , to be precise. The pre-modern(?)

Data Warehouse 62

Data Warehouse Metadata ETL Tools Data Workflow 62

AltexSoft

OCTOBER 30, 2021

Managing data and metadata. Expected to be somewhat versed in data engineering, they are familiar with SQL, Hadoop, and Apache Spark. Data engineers are well-versed in Java, Scala, and C++, since these languages are often used in data architecture frameworks such as Hadoop, Apache Spark, and Kafka. Machine learning techniques.

Data Engineer 98

Data Engineer Data Engineering Engineering Machine Learning 98