Data Engineering Weekly

MAY 26, 2024

[link] Tweeq: Tweeq Data Platform: Journey and Lessons Learned: Clickhouse, dbt, Dagster, and Superset Tweeq writes about its journey of building a data platform with cloud-agnostic open-source solutions and some integration challenges. It is refreshing to see an open stack after the Hadoop era.

Data Engineering 57

Data Engineering Data Engineer Engineering Google Cloud 57

Knowledge Hut

OCTOBER 12, 2023

Cloud computing is becoming increasingly popular. According to Statista, the public cloud computing industry is expected to exceed $525.60 With more organizations embracing cloud computing and digitalization, there has been a surge in the need for individuals who can design and manage the systems and services people rely on.

Cloud 52

Cloud Cloud Computing AWS Certification 52

ProjectPro

JUNE 1, 2017

News on Hadoop - May 2017 High-end backup kid Datos IO embraces relational, Hadoop data.theregister.co.uk , May 3 , 2017. Datos IO has extended its on-premise and public cloud data protection to RDBMS and Hadoop distributions. now provides hadoop support. Hadoop moving into the cloud.

Hadoop 52

Hadoop Medical Pipeline-centric Database-centric 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. Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Data Engineering Weekly

JUNE 29, 2023

AWS & Azure are the real winners All these announcements from Snowflake’s container support and Databricks LakeHouseIQ require enormous computing capabilities, which is possible only with those cloud providers. 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

Knowledge Hut

DECEMBER 21, 2023

For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. Understanding of Big Data technologies such as Hadoop, Spark, and Kafka. Knowledge of Hadoop, Spark, and Kafka. Familiarity with database technologies such as MySQL, Oracle, and MongoDB.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Christophe Blefari

JANUARY 20, 2023

In between the Hadoop era, the modern data stack and the machine learning revolution everyone—but me—waits for. For that you can follow this overview about Vertex AI—the Google Cloud Platform manage machine learning product. I personally feel that data ecosystem is in a in-between state.

Google Cloud 130

Google Cloud Data Hadoop Machine Learning 130

Booking.com Engineering

DECEMBER 2, 2022

In this article, we want to illustrate our extensive use of the public cloud, specifically Google Cloud Platform (GCP). BigQuery saves us substantial time — instead of waiting for hours in Hive/Hadoop, our median query run time is 20 seconds for batch, and 2 seconds for interactive queries[3].

Systems 52

Systems Cloud MySQL Relational Database 52

Cloudera

FEBRUARY 7, 2019

Who knew that in that search, the company would become the first organization to globally run SAS Viya, a cloud-optimized software, with HDP on GCP to enable modern analytics use cases powered by SAS analytics tools. Reducing Analytic Time to Value by More Than 90 Percent.

Utilities 65

Utilities Big Data Google Cloud Data Analytics 65

Monte Carlo

APRIL 24, 2023

As with other cloud-based storage solutions, the pay-as-you-go pricing model can be challenging for organizations with large or variable data workloads that can generate unforeseen costs if not managed effectively. Notice how Snowflake dutifully avoids (what may be a false) dichotomy by simply calling themselves a “data cloud.”

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

ProjectPro

SEPTEMBER 3, 2018

News on Hadoop - August 2018 Apache Hadoop: A Tech Skill That Can Still Prove Lucrative.Dice.com, August 2, 2018. is using hadoop to develop a big data platform that will analyse data from its equipments located at customer sites across the globe. Americanbanker.com, August 21, 2018.

Hadoop 40

Hadoop Retail Banking Telecommunication 40

Knowledge Hut

DECEMBER 22, 2023

Hadoop Gigabytes to petabytes of data may be stored and processed effectively using the open-source framework known as Apache Hadoop. Hadoop enables the clustering of many computers to examine big datasets in parallel more quickly than a single powerful machine for data storage and processing. Packages and Software OpenCV.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Data Engineering Podcast

SEPTEMBER 16, 2018

Skafos maximizes interoperability with your existing tools and platforms, and offers real-time insights and the ability to be up and running with cloud-based production scale infrastructure instantaneously. Request a demo at dataengineeringpodcast.com/metis-machine to learn more about how Metis Machine is operationalizing data science.

Google Cloud 100

Google Cloud Hadoop Business Intelligence Consulting 100

Data Engineering Podcast

MAY 8, 2022

Summary Dan Delorey helped to build the core technologies of Google’s cloud data services for many years before embarking on his latest adventure as the VP of Data at SoFi. Following your work on Drill you were involved with the development and growth of BigQuery and the broader suite of Google Cloud’s data platform.

Google Cloud 100

Google Cloud Hadoop SQL Software Engineer 100

Knowledge Hut

MARCH 20, 2024

Data engineers must know about big data technologies like Hive, Spark, and Hadoop. Cloud Architect An expert in cloud computing technology, a cloud architect is in charge of planning and implementing cloud-based solutions. They build and manage cloud-based apps by utilizing these providers' abilities.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

ProjectPro

FEBRUARY 21, 2023

Vendor-Specific Data Engineering Certifications The vendor-specific data engineer certifications help you enhance your knowledge and skills relevant to specific vendors, such as Azure, Google Cloud Platform, AWS, and other cloud service vendors. Expertise in leveraging cloud platforms, data services, and solutions.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

JUNE 23, 2023

Let us look at the steps to becoming a data engineer: Step 1 - Skills for Data Engineer to be Mastered for Project Management Learn the fundamentals of coding skills, database design, and cloud computing to start your career in data engineering. Apache Hadoop-based analytics to compute distributed processing and storage against datasets.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 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 69

Bytes Google Cloud Cloud Storage Utilities 69

Cloud Academy

JANUARY 27, 2022

Apache Hadoop Introduction to Google Cloud Dataproc Hadoop allows for distributed processing of large datasets. In this course, get the real-world context of Hadoop as a managed service as part of Google Cloud Dataproc, used for big data processing and machine learning. Are data engineers in demand?

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

ProjectPro

MAY 18, 2016

Big data industry has made Hadoop as the cornerstone technology for large scale data processing but deploying and maintaining Hadoop clusters is not a cakewalk. The challenges in maintaining a well-run Hadoop environment has led to the growth of Hadoop-as-a-Service (HDaaS) market. from 2014-2019.

Hadoop 40

Hadoop Google Cloud Cloud Computing Big Data 40

ProjectPro

JULY 30, 2021

Why Learn Cloud Computing Skills? The job market in cloud computing is growing every day at a rapid pace. A quick search on Linkedin shows there are over 30000 freshers jobs in Cloud Computing and over 60000 senior-level cloud computing job roles. What is Cloud Computing? Thus came in the picture, Cloud Computing.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

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

Data Engineering Podcast

FEBRUARY 11, 2018

Is timescale compatible with systems such as Amazon RDS or Google Cloud SQL? Is timescale compatible with systems such as Amazon RDS or Google Cloud SQL? How is Timescale implemented and how has the internal architecture evolved since you first started working on it? What impact has the 10.0 What impact has the 10.0

PostgreSQL 100

PostgreSQL NoSQL Google Cloud MongoDB 100

U-Next

JULY 2, 2022

Always wondered what the right skills to become an excellent cloud engineer are? Introduction To Cloud Engineer Skills. The cloud computing model delivers computing resources on-demand – that is, through the Internet – such as data storage, compute power and data processing. Cloud Computing: Scope of Application.

Cloud 40

Cloud Engineering Cloud Computing Amazon Web Services 40

AltexSoft

MAY 12, 2023

File systems, data lakes, and Big Data processing frameworks like Hadoop and Spark are often utilized for managing and analyzing unstructured data. Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage), NoSQL databases (e.g., Hadoop, Apache Spark). Google Cloud Storage can also be used as a data lake system.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

MARCH 27, 2024

Some open-source technology for big data analytics are : Hadoop. APACHE Hadoop Big data is being processed and stored using this Java-based open-source platform, and data can be processed efficiently and in parallel thanks to the cluster system. The Hadoop Distributed File System (HDFS) provides quick access. Apache Spark.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

JANUARY 12, 2016

Choosing the right Hadoop Distribution for your enterprise is a very important decision, whether you have been using Hadoop for a while or you are a newbie to the framework. Different Classes of Users who require Hadoop- Professionals who are learning Hadoop might need a temporary Hadoop deployment.

Hadoop 52

Hadoop Big Data Metadata Java 52

Databand.ai

DECEMBER 20, 2022

He produces weekly tech talk videos on the IBM Technology YouTube channel (270K+ subs) in areas such as machine learning, artificial intelligence, mobile devices, and hybrid cloud. On LinkedIn, Richard frequently posts about Google Cloud, data engineering, data analytics, SQL, and coding.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 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). The platform emphasizes an easy developer experience, allowing you to start developing locally with just a single command or even launch a cloud-based dev environment using Terraform.

Pipeline-centric 40

Pipeline-centric Google Cloud Data Workflow Python 40

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. Delta Lake integrations.

Scala 64

Scala Data Lake BI Google Cloud 64

ProjectPro

JANUARY 19, 2022

Leverage various big data engineering tools and cloud service providing platforms to create data extractions and storage pipelines. Experience with using cloud services providing platforms like AWS/GCP/Azure. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Data Engineering Podcast

NOVEMBER 18, 2018

Contact Info LinkedIn @fhueske on Twitter fhueske on GitHub Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Process 100

Process Scala Google Cloud Kafka 100

Data Engineering Weekly

FEBRUARY 12, 2023

Etsy writes about resiliency engineering for Kafka infrastructure, adding Zonal resilience in Google Cloud. link] Twitter: The data platform cluster operator service for Hadoop cluster management Speaking of “Big Data is Dead,” Twitter writes about streamlining the Hadoop cluster operations.

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

ProjectPro

JANUARY 24, 2023

With the global cloud data warehousing market likely to be worth $10.42 billion by 2026, cloud data warehousing is now more critical than ever. Cloud data warehouses offer significant benefits to organizations, including faster real-time insights, higher scalability, and lower overhead expenses. What is Google BigQuery Used for?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

Edureka

FEBRUARY 9, 2023

As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform. Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Databand.ai

DECEMBER 13, 2022

Follow Charles on LinkedIn 3) Deepak Goyal Azure Instructor at Microsoft Deepak is a certified big data and Azure Cloud Solution Architect with more than 13 years of experience in the IT industry. On LinkedIn, he focuses largely on Spark, Hadoop, big data, big data engineering, and data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Knowledge Hut

SEPTEMBER 6, 2023

Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing. Cloud Computing : Knowledge of cloud platforms like AWS, Azure, or Google Cloud is essential as these are used by many organizations to deploy their big data solutions.

Big Data 52

Big Data Certification Hadoop Scala 52