Data Engineering Podcast

MAY 27, 2018

How do you sandbox user’s processing code to avoid security exploits? How do you sandbox user’s processing code to avoid security exploits? How do you manage the underlying infrastructure to support your SLA of 5 nines? What are some of the potential pitfalls for automatic schema management in the target database?

Data Pipeline 100

Data Pipeline MongoDB Google Cloud Scala 100

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 77

Google Cloud Cloud Storage Data Lake Data Pipeline 77

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 67

Google Cloud Cloud Storage Accessible Accessibility 67

Data Engineering Podcast

SEPTEMBER 22, 2019

One of the useful features that you provide is efficient erasure coding, as well as protection against data corruption. How much overhead do those capabilties incur, in terms of computational efficiency and, in a clustered scenario, storage volume? What are the axes for scaling that MinIO provides and how does it handle clustering?

AWS 100

AWS Google Cloud Cloud Storage Data Lake 100

Data Engineering Weekly

AUGUST 11, 2024

Check out the sessions and speakers here, and use discount code 30DISC_ASTRONOMER for 30% off your ticket! link] [link] Gwen Shapira: AI Code Assistant SaaS built on GPT-4o-mini, Langchain, Postgres, and pg_vector AI coding assistant is one of the widely used applications of LLM. Well, build your own AI code assistant.

Data Engineering 58

Data Engineering Data Engineer Google Cloud Engineering 58

ProjectPro

AUGUST 24, 2021

Top 20+ Data Engineering Projects Ideas for Beginners with Source Code [2023] We recommend over 20 top data engineering project ideas with an easily understandable architectural workflow covering most industry-required data engineer skills. Machine Learning web service to host forecasting code.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Confluent

FEBRUARY 6, 2019

The problem is that writing the machine learning source code to train an analytic model with Python and the machine learning framework of your choice is just a very small part of a real-world machine learning infrastructure. For instance, you can write Python code to train and generate a TensorFlow model.

Machine Learning 107

Machine Learning Python Kafka Java 107

Cloudera

SEPTEMBER 30, 2022

CDF-PC enables organizations to take control of their data flows and eliminate ingestion silos by allowing developers to connect to any data source anywhere with any structure, process it, and deliver to any destination using a low-code authoring experience. automate the handling of support tickets in a call center).

Google Cloud 73

Google Cloud AWS Cloud Cloud Storage 73

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

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

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

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 Cloud Storage 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

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. Ease of Use : Known for its drag-and-drop interface along with visual job orchestration, allowing users to design, develop, and manage ETL jobs without extensive coding.

Data Ingestion 52

Data Ingestion Google Cloud Kafka AWS 52

dbt Developer Hub

NOVEMBER 22, 2022

The dbt docs suggest using seeds for “files that contain business-specific logic, for example, a list of country codes or user IDs of employees.” It’s also the most provider-agnostic, with support for Amazon S3, Google Cloud Storage, Azure and the local file system.

Data Warehouse 52

Data Warehouse ETL Tools Google Cloud Cloud Storage 52

Confluent

OCTOBER 16, 2019

The platform shown in this article is built using just SQL and JSON configuration files—not a scrap of Java code in sight. Resolving codes in events to their full values. Perhaps you want to resolve a code used in the event stream but it’s a value that will never change (famous last words in any data model!),

Kafka 19

Kafka Building Data Coding 19

Confluent

MAY 29, 2019

We’ll demonstrate using Gradle to execute and test our KSQL streaming code, as well as building and deploying our KSQL applications in a continuous fashion. The first requirement to tackle: how to express dependencies between KSQL queries that exist in script files in a source code repository. Managing KSQL dependencies.

Kafka 96

Kafka Management Bytes SQL 96

Ascend.io

JUNE 22, 2023

In the example below, we connected to a MySQL database, Snowflake Data Warehouse and Google Cloud Storage (blob storage). Ascend Write Connector delivering data to MotherDuck If you’re a data engineer who prefers writing code, you can also build Custom Python Read Connectors or Python-based Transforms (e.g.

NoSQL 52

NoSQL MySQL Google Cloud Data Pipeline 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. Azure Data Factory Azure Data Factory is a cloud-based data integration service that allows businesses to create, schedule, and manage their data pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 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. librdkafka is now 1.0, and so are the Confluent clients! Confluent Platform 5.2

Kafka 21

Kafka Java Cloud Metadata 21

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

Confluent

SEPTEMBER 20, 2019

This is a characteristic of true managed services, because they must keep developers focused on what really matters, which is coding. Even if you automate the lifecycle of Kafka Connect and the connector deployment through infrastructure-as-code technologies (e.g., Native support for KSQL in Confluent Cloud.

Kafka 21

Kafka Management Cloud AWS 21

AltexSoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others.

Scala 64

Scala Data Lake Machine Learning BI 64

Confluent

JULY 10, 2019

As discussed in part 2, I created a GitHub repository with Docker Compose functionality for starting a Kafka and Confluent Platform environment, as well as the code samples mentioned below. We provide the functions: prefix to reference the subproject directory with our code. So now, let’s build a UDF artifact.

Kafka 89

Kafka Java Bytes SQL 89

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

Knowledge Hut

JULY 24, 2023

Traditional SQL-based relational database management systems are available with relational cloud databases like Amazon RDS and Google Cloud SQL. NoSQL cloud databases offer non-relational, schema-less, and horizontally scalable databases. Examples include Amazon DynamoDB and Google Cloud Datastore.

Database 52

Database NoSQL Management Relational Database 52

Rockset

MAY 24, 2021

Monitoring infrastructure and software: You will need to develop or purchase software to help track the usage, storage and compute of your databases. That way you’ll know when you need to scale up or optimize your code. Google Cloud Storage: This RESTful cloud storage solution is offered through the Google Cloud Platform.

Database 40

Database Google Cloud AWS Cloud Storage 40

Knowledge Hut

NOVEMBER 16, 2023

Microsoft Azure is one such public cloud computing platform that provides a range of cloud services for computing, storing, and networking. There are some renowned cloud players like Amazon Web Services, Google Cloud, IBM Watson, etc.,

Data Science 52

Data Science Technology Cloud Computing Programming Language 52

Monte Carlo

NOVEMBER 14, 2023

Like much of the modern data stack, a good orchestration tool should be cloud-based and user-friendly (hand-coded Frankenstein software need not apply). With Prefect, you can orchestrate your code and provide full visibility into your workflows without the constraints of boilerplate code or rigid DAG structures.

Pipeline-centric 40

Pipeline-centric Google Cloud Python Data Workflow 40

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. And that common interface is configured in code + version-controlled. Where can I view history in a table format?”

Google Cloud 52

Google Cloud SQL Cloud Consulting 52

Knowledge Hut

MAY 8, 2023

If problems arise during deployment, cloud developers typically collaborate with DevOps people to debug code/programs. Management of cloud infrastructure resources such as networks, storage, and compute services, among others, in collaboration with others. Cloud Engineer Skills and Qualifications 1.

Cloud 52

Cloud Engineering Cloud Computing Amazon Web Services 52

ProjectPro

JULY 30, 2021

50 Cloud Computing Interview Questions and Answers f0r 2023 Knowing how to answer the most commonly asked cloud computing questions can increase your chances of landing your dream cloud computing job roles. Communication with Applications happens over API calls advised by the Cloud provider—for example, Google Drive.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

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

Knowledge Hut

NOVEMBER 18, 2023

These solutions can also help organizations reduce data transfer and as a result their cloud storage costs. Open-source code: Open-source codes make ML IoT a lot more customizable as per the company’s needs. It is scalable, efficient, has low access time and integrates with a wide array of Google services.

Machine Learning 52

Machine Learning Transportation Healthcare Amazon Web Services 52

Knowledge Hut

SEPTEMBER 25, 2023

The Azure Fundamentals certification helps you establish a strong base in cloud computing, Azure infrastructure, and database management. That said, having an IT background with some knowledge of coding, database management, and the basics of cloud computing, such as storage, networking, and scaling, will help you grasp the concepts faster.

Cloud Computing 52

Cloud Computing Certification Consulting Cloud 52

Knowledge Hut

APRIL 12, 2023

Azure provides you with a multitude of tools and services, including: Virtual machines: It provides you with virtual machines that can be used to run applications and services on the cloud. Storage: With Azure, you get several storage options, including blob storage, file storage, and disk storage.

Cloud Computing 52

Cloud Computing Amazon Web Services Certification Cloud 52