Tweag

OCTOBER 16, 2024

We recently completed a project with IMAX, where we learned that they had developed a way to simplify and optimize the process of integrating Google Cloud Storage (GCS) with Bazel. In this blog post, we’ll dive into the features, installation, and usage of rules_gcs , and how it provides you with access to private resources.

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Google Cloud Cloud Storage Accessible Accessibility 67

Cloudera

FEBRUARY 7, 2019

Enabling this transformation is the HDP platform, along with SAS Viya on Google Cloud , which has delivered machine learning models and personalization at scale. The post How ATB Financial is Utilizing Hybrid Cloud to Reduce the Time to Value for Big Data Analytics by 90 Percent appeared first on Cloudera Blog.

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Big Data Utilities Google Cloud Data Analytics 67

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 Engineering 57

Data Engineering Data Engineer Google Cloud Engineering 57

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Python Kafka Java 107

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!

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AWS Amazon Web Services Google Cloud Cloud Storage 52

Knowledge Hut

SEPTEMBER 21, 2023

Azure or Google Cloud—Which is better? This question is often asked as businesses continue to understand the cloud’s usefulness and services. Sometimes, considering the three leading players in the cloud market, businesses search for the right cloud among the three to adopt. What Is Google Cloud Platform?

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Cloud Google Cloud Cloud Computing Cloud Storage 52

Cloudera

SEPTEMBER 30, 2022

With DFF, users now have the choice of deploying NiFi flows not only as long-running auto scaling Kubernetes clusters but also as functions on cloud providers’ serverless compute services including AWS Lambda, Azure Functions, and Google Cloud Functions.

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Google Cloud AWS Cloud Cloud Storage 73

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. What is Google BigQuery Used for? Search no more!

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Bytes Google Cloud Data Warehouse Cloud Storage 52

Knowledge Hut

DECEMBER 4, 2023

Mind map helps you grasp the core topics though a cloud computing concept map and helps you understand how those concepts fit together. Let us explore more about cloud computing and mind maps through this blog. These elements differentiate cloud technology from the traditional system and are a factor in its rapid growth.

Cloud Computing 52

Cloud Computing Cloud Google Cloud AWS 52

dbt Developer Hub

NOVEMBER 22, 2022

It’s also the most provider-agnostic, with support for Amazon S3, Google Cloud Storage, Azure and the local file system. Databricks ​ Databricks also supports pulling in data, such as spreadsheets, from external cloud sources like Amazon S3 and Google Cloud Storage.

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Data Warehouse ETL Tools Google Cloud Cloud Storage 52

Data Science Blog: Data Engineering

DECEMBER 23, 2022

Dazu gesellen sich Datenbanken wie der PostgreSQL, Maria DB oder Microsoft SQL Server sowie CosmosDB oder einfachere Cloud-Speicher wie der Microsoft Blobstorage, Amazon S3 oder Google Cloud Storage. The post Jobprofil des Data Engineers appeared first on Data Science Blog (English only).

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Data Engineer Data Engineering Engineering Business Intelligence 52

Knowledge Hut

APRIL 25, 2023

These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. In this section, we will discuss the key features and benefits of some of the top GCP data engineering tools that can help you to become a Google Cloud Certified Data Engineer.

Data Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 52

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.

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Kafka Hadoop Big Data ETL Tools 93

Confluent

MAY 29, 2019

If you want to follow along and execute all the commands included in this blog post (and the next), you can check out this GitHub repository , which also includes the necessary Docker Compose functionality for running a compatible KSQL and Confluent Platform environment using the recently released Confluent 5.2.1. Sample repository.

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Kafka Management Bytes SQL 96

Confluent

JULY 10, 2019

The repository’s README contains a bit more detail, but in a nutshell, we check out the repo and then use Gradle to initiate docker-compose : git clone [link] cd kafka-examples git checkout confluent-blog./gradlew gradlew composeUp. Test execution details, such as test name, test suite, execution time, and result.

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Kafka Java Bytes SQL 89

Knowledge Hut

JULY 24, 2023

In this blog, we will talk about the future of database management. Get ready to discover fascinating insights, uncover mind-boggling facts, and explore the transformative potential of cutting-edge technologies like blockchain, cloud computing, and artificial intelligence. Examples include Amazon DynamoDB and Google Cloud Datastore.

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Database NoSQL Management Relational Database 52

Confluent

SEPTEMBER 20, 2019

Before Confluent Cloud was announced , a managed service for Apache Kafka did not exist. This blog post goes over: The complexities that users will run into when self-managing Apache Kafka on the cloud and how users can benefit from building event streaming applications with a fully managed service for Apache Kafka.

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Kafka Management Cloud AWS 21

Knowledge Hut

NOVEMBER 17, 2023

Soft Skills: Candidates should also develop soft skills such as communication, problem-solving, and collaboration to be successful in cloud computing careers. Skills Required Knowledge of cloud computing platforms (e.g., The cloud is accessed through a network like the internet and can be hosted on-premises or in the public cloud.

Cloud Computing 52

Cloud Computing Cloud Google Cloud Amazon Web Services 52

ProjectPro

AUGUST 24, 2021

And, out of these professions, this blog will discuss the data engineering job role. Source Code: Event Data Analysis using AWS ELK Stack 5) Data Ingestion This project involves data ingestion and processing pipeline with real-time streaming and batch loads on the Google cloud platform (GCP).

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

Edureka

OCTOBER 10, 2024

This activity is rather critical of migrating data, extending cloud and on-premises deployments, and getting data ready for analytics. In this all-encompassing tutorial blog, we are going to give a detailed explanation of the Copy activity with special attention to datastores, file type, and options. can be ingested in Azure.

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MongoDB NoSQL Metadata Datasets 40

Knowledge Hut

SEPTEMBER 25, 2023

The question of which certification is most appropriate for you, and how to go about Azure exam preparation, is something I can help you with in this blog. The certification will make you proficient in cloud computing, networking, and cloud storage. There are other cloud platforms too. Lets begin!

Cloud Computing 52

Cloud Computing Certification Consulting Cloud 52

dbt Developer Hub

NOVEMBER 28, 2021

From the Airflow side ​ A client has 100 data pipelines running via a cron job in a GCP (Google Cloud Platform) virtual machine, every day at 8am. In a Google Cloud Storage bucket. This is the same sensibility expressed in the dbt viewpoint in 2016, the closest thing to a founding blog post as exists for dbt. ]

SQL 52

SQL Google Cloud Cloud Consulting 52

Knowledge Hut

NOVEMBER 18, 2023

So, if you are thinking of using these solutions in your business, keep reading this blog. These solutions can also help organizations reduce data transfer and as a result their cloud storage costs. It is scalable, efficient, has low access time and integrates with a wide array of Google services.

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Machine Learning Transportation Healthcare Amazon Web Services 52

Knowledge Hut

APRIL 12, 2023

Azure provides organizations with the tools and services needed to build, deploy, and manage applications and services on the cloud. this blog post, we will explore what is Microsoft Azure, why it matters, how it works, and many more details.

Cloud Computing 52

Cloud Computing Amazon Web Services Certification Cloud 52

Knowledge Hut

JULY 6, 2023

IT Professionals looking to work in the cloud domain are expected to have a sound understanding of Azure tools as well as development and monitoring tools. This blog walks you through the top Azure Monitoring and Development that every SRE and DevOps engineer must know.

Amazon Web Services 52

Amazon Web Services Data Lake Java SQL 52

Rockset

JUNE 7, 2021

Change Scanning Rockset also includes a change scanning CDC approach for file-based sources including: Amazon S3 Google Cloud Storage (GCS) Including a data source that uses this CDC approach increases the flexibility of Rockset.

IT 40

IT Kafka Database MongoDB 40

Christophe Blefari

AUGUST 4, 2023

As a disclaimer, this may not quite make sense in a corporate context, but since this is my blog, I'll do what I want. FAQ and remarks Why do you use Google Cloud? However over the years I've met people working at these companies so I might have a few biais. I hope you'll enjoy this Data News Summer Edition.

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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. This project will teach you how to design and implement an event-based data integration pipeline on the Google Cloud Platform by processing data using DataFlow.

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Big Data Coding Project Hadoop 52