Cloudera

JUNE 25, 2021

Replication Manager can be used to migrate Apache Hive, Apache Impala, and HDFS objects from CDH clusters to CDP Public Cloud clusters. This blog post outlines detailed step by step instructions to perform Hive Replication from an on-prem CDH cluster to a CDP Public Cloud Data Lake. Hadoop SQL Policies overview.

Cloud 73

Cloud Data Lake Cloud Storage Metadata 73

Data Engineering Weekly

AUGUST 11, 2024

link] Uber: Enabling Security for Hadoop Data Lake on Google Cloud Storage Uber writes about securing a Hadoop-based data lake on Google Cloud Platform (GCP) by replacing HDFS with Google Cloud Storage (GCS) while maintaining existing security models like Kerberos-based authentication.

Data Engineer 57

Data Engineer Data Engineering Google Cloud Engineering 57

AltexSoft

OCTOBER 21, 2022

popular SQL and NoSQL database management systems including Oracle, SQL Server, Postgres, MySQL, MongoDB, Cassandra, and more; cloud storage services — Amazon S3, Azure Blob, and Google Cloud Storage; message brokers such as ActiveMQ, IBM MQ, and RabbitMQ; Big Data processing systems like Hadoop ; and.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

Cloudera

DECEMBER 8, 2021

In this blog, we’ll share how CDP Operational Database can deliver high performance for your applications when running on AWS S3. CDP Operational Database allows developers to use Amazon Simple Storage Service (S3) as its main persistence layer for saving table data.

Database 93

Database AWS Datasets Cloud Storage 93

Cloudera

FEBRUARY 7, 2019

With this expanded scope, the organization has introduced its Cloud Storage Connector, which has become a fully integrated component for data access and processing of Hadoop and Spark workloads. Check out our customer stories.

Big Data 67

Big Data Utilities Google Cloud Data Analytics 67

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

U-Next

SEPTEMBER 7, 2022

Data lakes, however, are sometimes used as cheap storage with the expectation that they are used for analytics. For building data lakes, the following technologies provide flexible and scalable data lake storage : . Gen 2 Azure Data Lake Storage . Cloud storage provided by Google . Amazon Web Services S3 .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Edureka

FEBRUARY 9, 2023

This position requires knowledge of Microsoft Azure services such as Azure Data Factory, Azure Stream Analytics, Azure Databricks, Azure Cosmos DB, and Azure Storage. A data engineer should be familiar with popular Big Data tools and technologies such as Hadoop, MongoDB, and Kafka.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Mining 52

Knowledge Hut

APRIL 25, 2023

Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale. Spark can be integrated with various data sources, including Hadoop Distributed File System (HDFS), Apache Cassandra, Apache HBase, and Amazon S3.

Data Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 52

Knowledge Hut

FEBRUARY 2, 2024

In this blog, I will explain the top 10 job roles you can choose per your interests and outline their salaries. Cloud Computing Course As more and more businesses from various fields are starting to rely on digital data storage and database management, there is an increased need for storage space.

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Programming Language Amazon Web Services Java Cloud Computing 98

ProjectPro

SEPTEMBER 6, 2021

Are you confused about choosing the best cloud platform for your next data engineering project ? AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud? Let’s get started!

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

ProjectPro

AUGUST 24, 2021

And, out of these professions, this blog will discuss the data engineering job role. Then, the Yelp dataset downloaded in JSON format is connected to Cloud SDK, following connections to Cloud storage which is then connected with Cloud Composer. Also, explore other alternatives like Apache Hadoop and Spark RDD.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

Netflix Tech

DECEMBER 14, 2018

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. Additionally, as was described in the previous blog article , every DS is associated with a schema for the data it stores. NMDB leverages a cloud storage service (e.g.,

Media 97

Media Database Metadata Data Schemas 97

Big Data Tools

JUNE 8, 2022

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. And yet it is still compatible with different clouds, storage formats (including Kudu , Ozone , and many others), and storage engines. That wraps up May’s Data Engineering Annotated.

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52

Big Data Tools

JUNE 8, 2022

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. And yet it is still compatible with different clouds, storage formats (including Kudu , Ozone , and many others), and storage engines. That wraps up May’s Data Engineering Annotated.

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52

ProjectPro

FEBRUARY 16, 2023

If you are still wondering whether or why you need to master SQL for data engineering, read this blog to take a deep dive into the world of SQL for data engineering and how it can take your data engineering skills to the next level. They are built on top of Hadoop and can query data from underlying storage infrastructures.

Data Engineer 52

Data Engineer Data Engineering SQL Engineering 52

ProjectPro

JANUARY 24, 2023

This blog is your comprehensive guide to Google BigQuery, its architecture, and a beginner-friendly tutorial on how to use Google BigQuery for your data warehousing activities. BigQuery can process upto 20 TB of data per day and has a storage limit of 1PB per table. Search no more! Did you know ? What’s more?

Bytes 52

Bytes Google Cloud Data Warehouse Cloud Storage 52

Cloudera

APRIL 23, 2021

hdfs dfs -cat” on the file triggers a hadoop KMS API call to validate the “DECRYPT” access. However, we can continue without enabling TLS for the purpose of this blog. The post HDFS Data Encryption at Rest on Cloudera Data Platform appeared first on Cloudera Blog. Upon clicking NEXT, it will prompt you to review your changes.

MySQL 73

MySQL Java Bytes Data 73

Rockset

JANUARY 19, 2021

This means that Rockset can scale storage and compute separately, taking full advantage of cloud elasticity. In contrast, Elasticsearch follows the pattern of more traditional big data systems like Hadoop and shared-nothing MPP systems, which tie storage and compute together and scale in fixed storage-to-compute ratios.

Management 40

Management Datasets Architecture Database 40

ProjectPro

DECEMBER 7, 2021

This blog will give you an in-depth knowledge of what is a data pipeline and also explore other aspects such as data pipeline architecture, data pipeline tools, use cases, and so much more. Airflow also allows you to utilize any BI tool, connect to any data warehouse, and work with unlimited data sources.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

JANUARY 19, 2022

Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer. Hadoop, MongoDB, and Kafka are popular Big Data tools and technologies a data engineer needs to be familiar with.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Storage 52

Knowledge Hut

OCTOBER 30, 2023

The article will also discuss some big data projects using Hadoop and big data projects using Spark. This is an intriguing big data Hadoop project for newcomers who wish to learn the fundamentals of running data queries and analytics using Apache Hive. The top big data projects that you shouldn't miss are listed below.

Big Data 52

Big Data Coding Project Medical 52

ProjectPro

MAY 31, 2021

This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. Snowflake Real-Time Data Warehouse Project for Beginners Snowflake provides a cloud-based analytics and data storage service called "data warehouse-as-a-service."

Big Data 52

Big Data Coding Project Hadoop 52

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. Multi-Cloud Management. Introduction.

Hadoop 86

Hadoop Cloud AWS Utilities 86