Hevo

SEPTEMBER 24, 2023

Migrating data from PostgreSQL on Google Cloud SQL to MySQL […] Its robustness, reliability, and flexibility for a wide range of applications, from small-scale projects to vast enterprise systems, justifies its widespread adoption.

Google Cloud 52

Google Cloud MySQL PostgreSQL SQL 52

Hevo

SEPTEMBER 24, 2023

Integrating PostgreSQL on Google Cloud SQL to Redshift is an essential step in unlocking the power of data for modern businesses. By centralizing data in Redshift, a fully managed data warehousing service that provides high-performance analytical capabilities, you can expedite the analysis of voluminous datasets.

Google Cloud 52

Google Cloud PostgreSQL SQL Cloud 52

Hevo

SEPTEMBER 26, 2023

To unlock the full potential of your data in PostgreSQL on Google Cloud SQL necessitates data integration with Amazon Aurora. As a data-driven business, extracting meaningful data from various sources and making informed decisions relies heavily on effective data analysis.

Google Cloud 52

Google Cloud PostgreSQL SQL Cloud 52

Data Engineering Podcast

JUNE 11, 2021

If you’ve ever been overwhelmed or confused by the array of services available in the Google Cloud Platform then this episode is for you. Connect your warehouse to Hightouch, paste a SQL query, and use their visual mapper to specify how data should appear in your SaaS systems. No more scripts, just SQL.

Google Cloud 100

Google Cloud Cloud Big Data Ecosystem BI 100

ThoughtSpot

JULY 18, 2023

That’s why we’re thrilled to partner with Google to bring exciting new Google Cloud generative AI capabilities to your analytics initiatives. Additionally, we expanded our partnership with Google, including being hosted on Google Cloud and integrating with Looker.

Google Cloud 84

Google Cloud Cloud BI Data Security 84

Towards Data Science

MARCH 6, 2023

And that’s the target of today’s post — We’ll be developing a data pipeline using Apache Spark, Google Cloud Storage, and Google Big Query (using the free tier) not sponsored. Google Cloud Storage (GCS) is Google’s blob storage. Google Big Query (GBQ) is Google’s cloud data warehouse solution.

Google Cloud 85

Google Cloud Cloud Storage Data Pipeline Cloud 85

ProjectPro

FEBRUARY 6, 2023

With over 10 million active subscriptions, 50 million active topics, and a trillion messages processed per day, Google Cloud Pub/Sub makes it easy to build and manage complex event-driven systems. Google Pub/Sub provides global distribution of messages making it possible to send and receive messages from across the globe.

Google Cloud 52

Google Cloud Cloud Cloud Storage Data Ingestion 52

Knoldus

JANUARY 31, 2023

Reading Time: 6 minutes Migrating data on Google Cloud BigQuery may seem like a straightforward task, until you run into having to match old data to tables with different schemas and data types. There are many approaches you can take to moving data, perhaps using SQL commands to transform the data to be compatible with the new schema.

Google Cloud 52

Google Cloud Cloud Programming Language SQL 52

Confluent

AUGUST 29, 2023

Data streaming and cloud connect disparate systems for real-time experiences. Traditional, siloed systems don't work for customers expecting to do business in real time.

Google Cloud 52

Google Cloud Cloud SQL Systems 52

Data Engineering Podcast

FEBRUARY 6, 2022

In order to make geospatial analytics more maintainable and scalable there has been an increase in the number of database engines that provide extensions to their SQL syntax that supports manipulation of spatial data. Can you describe what spatial SQL is and some of the use cases that it is relevant for?

SQL 100

SQL Building IT Google Cloud 100

Data Engineering Podcast

FEBRUARY 18, 2024

Summary A data lakehouse is intended to combine the benefits of data lakes (cost effective, scalable storage and compute) and data warehouses (user friendly SQL interface). Multiple open source projects and vendors have been working together to make this vision a reality. Your first 30 days are free! Data lakes are notoriously complex.

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

Hevo

MAY 10, 2024

To enhance data management and security, many organizations prefer deploying these databases on cloud providers like AWS, Azure, or Google Cloud Platform (GCP). Organizations using GCP to host their MySQL database via Google Cloud SQL can utilize SQL queries to […]

MySQL 52

MySQL Google Cloud AWS SQL 52

Monte Carlo

MARCH 12, 2024

Courtesy of Google Cloud. Implement Custom SQL Rules 3. Dataplex recommends creating data quality rules either by using their pre-defined rules as mentioned above – by row or by aggregate – or by creating our own custom SQL rules. The SQL expression should evaluate to true (pass) or false (fail) per row.

Google Cloud 52

Google Cloud Metadata SQL Data Lake 52

Christophe Blefari

AUGUST 4, 2023

FAQ and remarks Why do you use Google Cloud? My opinion on the matter is this: all clouds are born equal, you just have to find the one you're most comfortable with, or suffer your company's choices. this list can become infinite) Conclusion After this design exercice I have mix feeling.

Google Cloud 225

Google Cloud MongoDB NoSQL Data 225

Christophe Blefari

JANUARY 14, 2024

Learn SQL, be social and learn to say no. Removing egress fees when moving off Google Cloud. Fixit, MotherDuck SQL AI error fixer. Lead Data Engineer career guide — Detailed skillsets needed to be a lead data engineer. Transfer data from BigQuery to Fabric with Arrow and Rust. The evolution of a data platform.

Google Cloud 130

Google Cloud Data SQL Python 130

Striim

MAY 1, 2024

This platform acts as the primary structured data repository in Google Cloud. Concurrently, SQL Server data is thoroughly cleaned in Link Data, which also extracts images and email attachments from different systems, ensuring data integrity and availability. Sign up for a free trial today!

Google Cloud 52

Google Cloud Insurance Finance Machine Learning 52

Christophe Blefari

JANUARY 26, 2024

Hugging Face and Google partner for open AI — Do not mistake it's open AI and not OpenAI 😬 This partnership will benefit Google Cloud customers with unique hardware to train models and HuggingFace users will have some benefits but I did not understand the corporate sentences from the press release.

Google Cloud 130

Google Cloud Algorithm Data Java 130

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

Knowledge Hut

NOVEMBER 16, 2023

DBA – MySQL – SQL Server In this highly competitive as well as dynamic Software/IT industry, there is one course the one course, which is very popular and can give you a stable career, DBA. MongoDB Administrator MongoDB is a well-known NO-SQL database.

Technology 98

Technology MySQL MongoDB Google Cloud 98

Christophe Blefari

FEBRUARY 3, 2023

Think is SQL, avoid writing SQL in a top to bottom approach — A nice post about the mismatch between the logical query processing order and the syntaxic order of SQL queries. All things considered this is a normal evolution, databases connections are from an old time and web developers wants direct access to databases.

BI 130

BI Google Cloud SQL Machine Learning 130

Data Engineering Weekly

JUNE 29, 2023

Well, how do we know a human writes the SQL for an ad-hoc request, which often goes through a zero review process, wrote the correct SQL query? Snowflake is a DataLake Platform Snowflake is moving beyond a SQL data warehouse. I exclude Google Cloud since I rarely see Google Cloud users using either Snowflake or Databricks.

Data Engineering 76

Data Engineering Data Engineer Google Cloud Engineering 76

François Nguyen

MARCH 22, 2021

It will be illustrated with our technical choices and the services we are using in the Google Cloud Platform. With this 3rd platform generation, you have more real time data analytics and a cost reduction because it is easier to manage this infrastructure in the cloud thanks to managed services.

Architecture 130

Architecture Technology Google Cloud Metadata 130

Rockset

MARCH 21, 2019

We pushed the boundaries of the SQL type system to natively support dynamic typing , so that the need for ETL is eliminated in a large number of situations. This makes turning any type of data—from JSON, XML, Parquet, and CSV to even Excel files—into SQL tables a trivial pursuit.

SQL 52

SQL Data Management Management Engineering 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 72

Bytes Google Cloud Cloud Storage Utilities 72

Data Engineering Podcast

NOVEMBER 20, 2022

Datafold shows how a change in SQL code affects your data, both on a statistical level and down to individual rows and values before it gets merged to production. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Support Data Engineering Podcast

Data Lake 130

Data Lake Data Ingestion MongoDB Scala 130

Knowledge Hut

DECEMBER 26, 2023

It helps to understand concepts like abstractions, algorithms, data structures, security, and web development and familiarizes learners with many languages like C, Python, SQL, CSS, JavaScript, and HTML. 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

Team Data Science

DECEMBER 17, 2020

Structured Query Language (SQL) SQL has been in existence for some time now, and database systems are still prevalent and important in many companies. Data scientists should acquire some basic SQL functionality. Getting a practical knowledge of data processing will also help.

Data Engineering 130

Data Engineering Data Engineer Engineering Cloud Computing 130

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. Looker also provides an SQL-based interface for querying and analyzing data, which makes it easy for data engineers to integrate with existing tools and applications.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 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

Knowledge Hut

NOVEMBER 27, 2023

Google Cloud Platform Google Cloud Platform is a cloud computing platform that allows users to build applications and services on top of infrastructure tools and services. You need at least three years of cloud industry experience and one year working with Google cloud in order to get a professional certification.

Cloud Computing 52

Cloud Computing Cloud Google Cloud AWS 52

Data Engineering Podcast

MAY 1, 2022

By acting as a virtual hub for data assets ranging from tables and dashboards to SQL snippets & code, Atlan enables teams to create a single source of truth for all their data assets, and collaborate across the modern data stack through deep integrations with tools like Snowflake, Slack, Looker and more.

Data Warehouse 100

Data Warehouse Data Integration Cloud Google Cloud 100

Data Science Blog: Data Engineering

SEPTEMBER 19, 2023

So why using IaC for Cloud Data Infrastructures? The following Terraform script will create an Azure Resource Group, a SQL Server, and a SQL Database. AWS CloudFormation is a service offered by Amazon Web Services (AWS) that allows you to define cloud infrastructure in JSON or YAML templates.

Data Warehouse 52

Data Warehouse Coding Systems Cloud 52

Knowledge Hut

FEBRUARY 6, 2024

Prometheus : is an open-source real-time metrics-based event monitoring and alerting system. You can easily build and deliver products, automate CI/CD process without having to worry about provisioning and configuring the environment B.

Engineering 98

Engineering Programming Language Amazon Web Services Google Cloud 98

ThoughtSpot

SEPTEMBER 13, 2023

Then, you can repeatedly search that data on ThoughtSpot, eliminating the need for manual adjustments or repeated SQL rewrites. This is just one of the many ways ThoughtSpot is partnering with the Google Cloud Ecosystem to empower AI-Powered Analytics. With this integration you only need to build Looker Explores once.

BI 80

BI Google Cloud Data Governance Business Intelligence 80

Data Engineering Podcast

NOVEMBER 13, 2022

Datafold shows how a change in SQL code affects your data, both on a statistical level and down to individual rows and values before it gets merged to production. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability.

MongoDB 100

MongoDB Scala Google Cloud MySQL 100

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

Knowledge Hut

MARCH 26, 2024

Cloud Solutions Architect Role Overview: Design and implement cloud-based solutions leveraging platforms like AWS, Azure, or Google Cloud to meet business objectives. The Cloud Computing course syllabus covers most aspects of this field in detail.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52