Knowledge Hut

NOVEMBER 27, 2023

A successful professional in this field requires Google cloud skills, namely, expertise in development, operations, and infrastructure, enabling the engineer to streamline and expedite the deployment and administration processes for cloud-based services on GCP efficiently. Are you ready to take the google cloud skills challenge?

Google Cloud 52

Google Cloud Cloud Cloud Computing Pipeline-centric 52

Knowledge Hut

MARCH 7, 2024

Connect with professionals to learn about KnowledgeHut’s Cloud Computing course fees. Google Cloud Platform Next on the list is the Google Cloud Platform (GCP). It ranks third among the largest cloud computing companies in the world. Here is a quick look at the top cloud companies market share.

Cloud Computing 98

Cloud Computing Amazon Web Services Cloud Google Cloud 98

Cloudera

JUNE 5, 2023

RK built some simple flows to pull streaming data into Google Cloud Storage and Snowflake. Many developers use DataFlow to filter/enrich streams and ingest into cloud data lakes and warehouses where the ability to process and route anywhere makes DataFlow very effective. Congratulations Vince!

Google Cloud 82

Google Cloud Cloud Storage Data Lake Data Pipeline 82

Data Engineering Podcast

MAY 27, 2018

Links Alooma Convert Media Data Integration ESB (Enterprise Service Bus) Tibco Mulesoft ETL (Extract, Transform, Load) Informatica Microsoft SSIS OLAP Cube S3 Azure Cloud Storage Snowflake DB Redshift BigQuery Salesforce Hubspot Zendesk Spark The Log: What every software engineer should know about real-time data’s unifying abstraction by Jay (..)

Data Pipeline 100

Data Pipeline MongoDB Google Cloud Scala 100

Confluent

OCTOBER 14, 2020

we officially made Tiered Storage generally available. At launch, we supported two major cloud-specific object stores: Amazon S3 and Google Cloud Storage. With the release of Confluent Platform 6.0, Today, […].

Cloud 71

Cloud Google Cloud Cloud Storage Programming 71

Data Engineering Podcast

SEPTEMBER 22, 2019

What are the cases where it makes sense to use MinIO in place of a cloud-native object store such as S3 or Google Cloud Storage? What are the cases where it makes sense to use MinIO in place of a cloud-native object store such as S3 or Google Cloud Storage?

AWS 100

AWS Google Cloud Cloud Storage Data Lake 100

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 company has shifted from developing tools to now providing services, which has brought additional productivity and enhanced the customer experience.

Utilities 69

Utilities Big Data Google Cloud Data Analytics 69

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. rules_gcs is a Bazel ruleset that facilitates the downloading of files from Google Cloud Storage. What is rules_gcs ?

Google Cloud 64

Google Cloud Cloud Storage Accessibility Accessible 64

Hevo

APRIL 20, 2024

As cloud computing gained notoriety, Google expanded its operations and launched Google Cloud Platform (GCP). The Google Cloud Storage (GCS) allows […] Its vast network servers have enabled us to store and manage immense volumes of data.

Google Cloud 52

Google Cloud Cloud Storage Cloud Computing Cloud 52

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 59

Data Engineer Data Engineering Google Cloud Engineering 59

Knowledge Hut

DECEMBER 26, 2023

Google Cloud Fundamentals- Core Infrastructure from Google Overview: This course introduces the concepts of the google cloud platform concepts. You will retain use of the following Google Cloud application deployment environments: App Engine, Kubernetes Engine, and Compute Engine.

Certification 95

Certification Java Google Cloud Education 95

ProjectPro

SEPTEMBER 6, 2021

So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud? It developed and optimized everything from cloud storage, computing, IaaS, and PaaS. And that is one big reason it is the market leader and dominates other cloud technologies aggressively. Let’s get started!

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Knowledge Hut

JANUARY 23, 2024

Google Cloud Hosting Another good option for a cloud-based server for small businesses is Google Cloud Hosting. Google Cloud, which is often regarded as AWS's major rival, has millions of users and several exceptional services for small businesses.

Cloud Computing 52

Cloud Computing Amazon Web Services Cloud Google Cloud 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?

Cloud 52

Cloud Google Cloud Cloud Computing Cloud Storage 52

Towards Data Science

MARCH 5, 2024

Let’s assume the task is to copy data from a BigQuery dataset called bronze to another dataset called silver within a Google Cloud Platform project called project_x. Load data For data ingestion Google Cloud Storage is a pragmatic way to solve the task. Data can easily be uploaded and stored for low costs.

Bytes 67

Bytes Google Cloud Cloud Storage Utilities 67

phData: Data Engineering

AUGUST 4, 2023

Within Snowflake, data can either be stored locally or accessed from other cloud storage systems. What are the Different Storage Layers Available in Snowflake? In Snowflake, there are three different storage layers available, Database, Stage, and Cloud Storage.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

phData: Data Engineering

NOVEMBER 8, 2024

Cost Efficiency and Scalability Open Table Formats are designed to work with cloud storage solutions like Amazon S3, Google Cloud Storage, and Azure Blob Storage, enabling cost-effective and scalable storage solutions. Amazon S3, Azure Data Lake, or Google Cloud Storage).

Architecture 52

Architecture Systems Data Lake Google Cloud 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.

Google Cloud 78

Google Cloud AWS Cloud Cloud Storage 78

Monte Carlo

FEBRUARY 20, 2024

Integrations : They offer a wide array of connectors for databases, SaaS applications, cloud storage solutions, and more, covering both popular and niche data sources. Google Cloud Dataflow Image courtesy of Google Cloud.

Data Ingestion 52

Data Ingestion Google Cloud Kafka AWS 52

Confluent

FEBRUARY 6, 2019

Managed model server in the public cloud like Google Cloud Machine Learning Engine: The cloud provider takes over the burden of availability and reliability. And you can use it in any environment: in the cloud, in on-prem datacenters or at the edges, where IoT devices are.

Machine Learning 107

Machine Learning Python Kafka Java 107

Monte Carlo

NOVEMBER 22, 2024

Object storage solutions like Amazon S3 or Google Cloud Storage are perfect for this. Think of your data lake as a vast reservoir where you store raw data in its original form—great for when you’re not quite sure how you’ll use it yet.

Data Engineer 52

Data Engineer Data Engineering Building Engineering 52

ProjectPro

JANUARY 24, 2023

Since its public release in 2011, BigQuery has been marketed as a unique analytics cloud data warehouse tool that requires no virtual machines or hardware resources. BigQuery is a highly scalable data warehouse platform with a built-in query engine offered by Google Cloud Platform. What is Google BigQuery Used for?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

Monte Carlo

APRIL 24, 2023

Google Cloud Platform and/or BigLake Google offers a couple options for building data lakes. You could use Google Cloud Storage (GCS) to store your data or there’s the new BigLake solution to build a distributed data lake that spans across warehouses, object stores and clouds (even those not on Google’s cloud).

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

ProjectPro

OCTOBER 6, 2021

Flexera’s State of Cloud report highlighted that 41% of the survey respondents showed the most interest in using Google Cloud Platform for their future cloud computing projects. Google Cloud Platform is an online vendor of multiple cloud services which can be used publicly.

Google Cloud 52

Google Cloud Project Data Lake Healthcare 52

Knowledge Hut

APRIL 26, 2024

Connect with professionals to learn about KnowledgeHut’s Cloud Computing course fees. Google Cloud Platform Next on the list is the Google Cloud Platform (GCP). It ranks third among the largest cloud computing companies in the world. Here is a quick look at the top cloud companies market share.

Cloud Computing 52

Cloud Computing Amazon Web Services Cloud Google Cloud 52

Knowledge Hut

DECEMBER 4, 2023

A cloud provider leases infrastructure and technology to other businesses or individual people for computing, networking or storage purposes. The top 3 major providers as of this date are Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP), with AWS leading the market. which you can explore.

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.

Data Warehouse 52

Data Warehouse ETL Tools Google Cloud Cloud Storage 52

DataKitchen

NOVEMBER 5, 2024

By storing data in its native state in cloud storage solutions such as AWS S3, Google Cloud Storage, or Azure ADLS, the Bronze layer preserves the full fidelity of the data. This foundational layer is a repository for various data types, from transaction logs and sensor data to social media feeds and system logs.

Architecture 81

Architecture Raw Data Pipeline-centric Data Ingestion 81

Knowledge Hut

JUNE 26, 2023

The processed data are uploaded to Google Cloud Storage, where they are then subjected to transformation with the assistance of dbt. The Structured Streaming API offered by Spark makes it possible for data to be processed in real-time in mini-batches, which in turn offers low-latency processing capabilities.

Data Engineer 98

Data Engineer Data Engineering Coding Project 98

Ascend.io

JUNE 22, 2023

In the example below, we connected to a MySQL database, Snowflake Data Warehouse and Google Cloud Storage (blob storage). Next, build out connections to your sources and pipelines that deliver data to MotherDuck. You have tons of other options available in Ascend’s connection catalog!

NoSQL 52

NoSQL Google Cloud MySQL Data Pipeline 52

Confluent

APRIL 2, 2019

This means you now have access, without any time constraints, to tools such as Control Center, Replicator, security plugins for LDAP and connectors for systems, such as IBM MQ, Apache Cassandra and Google Cloud Storage.

Kafka 21

Kafka Java Cloud Metadata 21

Rockset

MARCH 21, 2019

Function-as-a-Service frameworks, such as AWS Lambda, Azure Functions, and Google Cloud Functions, go quite far in realizing that vision for stateless applications, but the real challenge comes when applications need to deal with state.

SQL 52

SQL Data Management Management Engineering 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

Striim

FEBRUARY 10, 2023

Macy’s migrated its on-premise inventory and order data to Google Cloud storage to reach its objectives. The company decided to move to the cloud based on the benefits of cost efficiency, flexibility, and improved data management.

Data Analytics 52

Data Analytics Telecommunication Insurance Google Cloud 52

AltexSoft

JULY 29, 2022

It lets you run MapReduce and Spark jobs on data kept in Google Cloud Storage (instead of HDFS); or. Oracle Big Data Service , offering customers a fully-managed Hadoop environment in the cloud. Google Cloud Platform: a relative of Apache Hadoop. HDFS was initially inspired by the Google File System.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

RandomTrees

SEPTEMBER 17, 2024

Cloud Storage: Ensure you have the necessary permissions to create and manage storage resources Eg., GCS buckets on Google Cloud. The compute resource must be Databricks Runtime 11.3 or above and should use a Unity Catalog-compliant access mode.

Data Governance 52

Data Governance Government Metadata Machine Learning 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.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93