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 74

Hadoop SQL Database Kafka 74

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 Data Lake Hadoop 100

Data Engineering Weekly

FEBRUARY 18, 2024

One can’t deny the role of Redshift in bringing the cloud data warehouse to the masses, starting the end of the Big Data era with Hadoop. Register for our webinar to explore Cube Cloud and learn about the convenient UI for easier data modeling. All the retrospect keeps me wondering, So What is Next?

Data Engineering 62

Data Engineering Data Engineer Engineering Data 62

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. Extending Atlas’ metadata model. The example 1_typedef-server.json describes the server typedef used in this blog. .

Data Governance 93

Data Governance Government Metadata Datasets 93

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 104

Hadoop Kafka Datasets Government 104

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

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 81

Database Data Lake Metadata Java 81

Data Engineering Weekly

NOVEMBER 6, 2022

I plan to write a series of blogs on Schemata and Data Contract in the coming weeks. Martin kindly stepped in for me to give the update for my promised blog posts. The blog narrates how Azure InterpretML service can help to understand the ML models' predictions better. I know I told you this before, so George R.

Data Engineering 40

Data Engineering Data Engineer Engineering Machine Learning 40

Cloudera

FEBRUARY 11, 2021

Finally, in CDP Private Cloud Base 7.1.5 The Ranger plugin base is available only in Java, as most Hadoop ecosystem projects, including Ranger, are written in Java. Metadata should still be granted on db=foo->tbl=* as it is required to check if the newly created table exists, which is the last step of table creation.

Hadoop 52

Hadoop Metadata Java Database 52

Big Data Tools

JUNE 8, 2022

DataHub 0.8.36 – Metadata management is a big and complicated topic. On top of that, it’s a part of the Hadoop platform, which created additional work that we otherwise would not have had to do. DataHub is a completely independent product by LinkedIn, and the folks there definitely know what metadata is and how important it is.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JUNE 8, 2022

DataHub 0.8.36 – Metadata management is a big and complicated topic. On top of that, it’s a part of the Hadoop platform, which created additional work that we otherwise would not have had to do. DataHub is a completely independent product by LinkedIn, and the folks there definitely know what metadata is and how important it is.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Cloudera

SEPTEMBER 1, 2020

DDE is a new template flavor within CDP Data Hub in Cloudera’s public cloud deployment option (CDP PC). YARN allows you to use various data processing engines for batch, interactive, and real-time stream processing of data stored in HDFS or cloud storage like S3 and ADLS. data best served through Apache Solr). Before you Get Started.

Cloud Storage 67

Cloud Storage Unstructured Data AWS Analytics Application 67

Knowledge Hut

SEPTEMBER 29, 2023

This blog aims to answer these questions, providing a straightforward and professional insight into the world of Azure Data Engineering. Azure currently stands as the second-largest vendor of cloud services, solidifying its position as a platform worth investing in for aspiring Azure data engineers.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Cloudera

APRIL 23, 2021

To prevent the management of these keys (which can run in the millions) from becoming a performance bottleneck, the encryption key itself is stored in the file metadata. Each file will have an EDEK which is stored in the file’s metadata. hdfs dfs -cat” on the file triggers a hadoop KMS API call to validate the “DECRYPT” access.

MySQL 69

MySQL Java Bytes Data 69

Cloudera

AUGUST 30, 2018

Cloud service architecture – storing and accessing data and services over the Internet instead of your data center or local computer’s hard drive. The list of questions and the variability of answers are seemingly endless: Will cloud be the budget savior with its scale, flexibility, and promise of agile delivery?

Unstructured Data 40

Unstructured Data Machine Learning Data Warehouse BI 40

ProjectPro

JULY 23, 2021

AWS (Amazon Web Services) is the world’s leading and widely used cloud platform, with over 200 fully featured services available from data centers worldwide. This blog presents some of the most unique and innovative AWS projects from beginner to advanced levels. Table of Contents What is AWS? What are AWS projects? What is AWS?

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

Cloudera

OCTOBER 5, 2021

In this blog post I will introduce a new feature that provides this behavior called the Ranger Resource Mapping Service (RMS). 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,

Hadoop 91

Hadoop SQL Database Accessible 91

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 58

Systems Hadoop Metadata Datasets 58

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 86

Systems Hadoop Metadata Telecommunication 86

Databand.ai

AUGUST 30, 2023

DataOps tools should provide a comprehensive data cataloging solution that allows organizations to create a centralized repository of their data assets, complete with metadata, data lineage information, and data samples. The primary use of Genie is to manage the running of Hadoop jobs and similar workloads on cloud resources.

Data Cleanse 52

Data Cleanse Data Pipeline Data Ingestion Data Validation 52

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

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 Metadata Java 52

AltexSoft

NOVEMBER 7, 2022

Metadata database. A metadata database stores information about user permissions, past and current DAG and task runs, DAG configurations, and more. By default, Airflow handles metadata with SQLite which is meant for development only. If you are interested in web development, take a look at our blog post on.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

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 will publish separate blog posts with results of performance benchmarks. Cisco Data Intelligence Platform.

Pipeline-centric 98

Pipeline-centric Data Lake Hadoop Metadata 98

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 73

Hadoop Big Data Cloud Kafka 73

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.

Metadata 80

Metadata Algorithm Hadoop Cloud 80

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

JULY 13, 2022

Cloudera Replication Manager is a key Cloudera Data Platform (CDP) service, designed to copy and migrate data between environments and infrastructures across hybrid clouds. The plugin allows you to migrate your HBase data from CDH or HDP to COD CDP Public Cloud. to CDP Public Cloud on AWS. to CDP Public Cloud on AWS.

Management 86

Management AWS Database Cloud 86

Rockset

MAY 8, 2023

In this blog, we capture engineering stories from 5 early adopters of vector search- Pinterest, Spotify, eBay, Airbnb and Doordash- who have integrated AI into their applications. In the next sections, we’ll summarize 5 engineering blogs on vector search and highlight key implementation considerations.

Metadata 52

Metadata Algorithm Datasets Google Cloud 52

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 100

Kafka Metadata AWS Bytes 100

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 ETL Tools Big Data 93

ProjectPro

JANUARY 31, 2023

In this blog, we'll dive into some of the most commonly asked big data interview questions and provide concise and informative answers to help you ace your next big data job interview. Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink, and Pig, to mention a few. RDBMS stores structured data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

APRIL 4, 2015

With the help of our best in class Hadoop faculty, we have gathered top Hadoop developer interview questions that will help you get through your next Hadoop job interview. IT organizations from various domains are investing in big data technologies, increasing the demand for technically competent Hadoop developers.

Hadoop 40

Hadoop Big Data Recruitment Java 40

ProjectPro

AUGUST 24, 2021

And, out of these professions, this blog will discuss the data engineering job role. This is an end-to-end big data project for building a data engineering pipeline involving data extraction, data cleansing, data transformation, exploratory analysis , data visualization, data modeling, and data flow orchestration of event data on the cloud.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Monte Carlo

MARCH 2, 2023

Data health insights, metadata that surfaces the data health of different data assets, can help reveal where data teams need to spend more time and resources. Conduct post-mortems This may seem like a strange piece of advice in a blog about preventing data anomalies. As a result, queries are quickly slapped together, modified, and run.

Food 52

Food Data SQL Data Pipeline 52

ProjectPro

NOVEMBER 15, 2021

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. This blog will walk through the most popular and fascinating open source big data projects.

Big Data 52

Big Data Project Metadata Programming Language 52

Confluent

MAY 21, 2019

They are at the intersection of the way we develop software, the way we manage data, metadata and the interactions between teams. If you’re interested in reading about it more, Martin Kleppmann wrote a good blog post comparing schema evolution in different data formats. They are contract between teams.

Kafka 110

Kafka Insurance Architecture Database 110