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.

Big Data 67

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 Engineer 57

Data Engineer Data Engineering Google Cloud Engineering 57

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. Apache Oozie — An open-source workflow scheduler system to manage Apache Hadoop jobs. Google Cloud Build . . Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021. DevOps Deployment Tools.

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120

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 vs Hadoop.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

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 Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 52

Data Engineering Weekly

FEBRUARY 12, 2023

link] Shopify: The Complex Data Models Behind Shopify's Tax Insights Feature The blog comes at the right time when the data community frequently talks about the lost art of Data Modeling. The blog definitely added to my curiosity to think more. Picnic writes about how it automates pipeline deployment.

Data Engineer 52

Data Engineer Data Engineering Engineering Hadoop 52

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 Engineer 52

Data Engineer Data Engineering Engineering MongoDB 52

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

ProjectPro

FEBRUARY 21, 2023

Whether you are just starting your career as a Data Engineer or looking to take the next step, this blog will walk you through the most valuable data engineering certifications and help you make an informed decision about which one to pursue. Don’t worry! Why Are Data Engineering Skills In Demand?

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Databand.ai

DECEMBER 13, 2022

He also has more than 10 years of experience in big data, being among the few data engineers to work on Hadoop Big Data Analytics prior to the adoption of public cloud providers like AWS, Azure, and Google Cloud Platform. Deepak regularly shares blog content and similar advice on LinkedIn.

Data Engineer 52

Data Engineer Data Engineering Engineering AWS 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 Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

ProjectPro

JANUARY 19, 2022

Experience with using cloud services providing platforms like AWS/GCP/Azure. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. The three most popular cloud service providing platforms are Google Cloud Platform, Amazon Web Services, and Microsoft Azure. It nicely supports Hybrid Cloud Space.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Monte Carlo

JUNE 2, 2024

Databases and Data Warehousing: Engineers need in-depth knowledge of SQL (88%) and NoSQL databases (71%), as well as data warehousing solutions like Hadoop (61%). Cloud Platforms: Understanding cloud services from providers like AWS (mentioned in 80% of job postings), Azure (66%), and Google Cloud (56%) is crucial.

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

Monte Carlo

JUNE 2, 2024

Databases and Data Warehousing: Engineers need in-depth knowledge of SQL (88%) and NoSQL databases (71%), as well as data warehousing solutions like Hadoop (61%). Cloud Platforms: Understanding cloud services from providers like AWS (mentioned in 80% of job postings), Azure (66%), and Google Cloud (56%) is crucial.

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

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. This blog presents a detailed overview of Google BigQuery and its architecture. What is Google BigQuery Used for? Search no more!

Bytes 52

Bytes Google Cloud Data Warehouse Cloud Storage 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 Kafka 52

Edureka

AUGUST 29, 2024

In this respect, the purpose of the blog is to explain what is a data engineer , describe their duties to know the context that uses data, and explain why the role of a data engineer is central. Data Warehousing: Experience in using tools like Amazon Redshift, Google BigQuery, or Snowflake. What Does a Data Engineer Do?

Data Engineer 40

Data Engineer Data Engineering Engineering Generalist 40

Cloudera

APRIL 2, 2019

From a technical perspective, the data read from the Hadoop Distributed File System is cached in HBase’s BucketCache. Testing also conducted on Hewlett Packard Enterprise servers and Google Cloud Platform . It supports a wide variety of use cases from powering web & mobile applications to operationalizing IoT data.

NoSQL 48

NoSQL Google Cloud Hadoop Machine Learning 48

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

Knowledge Hut

FEBRUARY 16, 2023

This blog helps you understand more about the data engineer salary in US. After the inception of databases like Hadoop and NoSQL, there's a constant rise in the requirement for processing unstructured or semi-structured data. Hope this blog gives you a clear understanding of data engineer salary in USA.

Data Engineer 52

Data Engineer Data Engineering Engineering Healthcare 52

Knowledge Hut

JANUARY 22, 2024

Cloud Computing Cloud computing courses focus on deploying and managing big data platforms like Hadoop, Spark, Kafka etc on cloud infrastructure. Students learn skills to build data pipelines, query data lakes and develop cloud-native applications using services from AWS, Azure and Google Cloud.

Data Science 52

Data Science Certification Education Programming 52

ProjectPro

NOVEMBER 15, 2021

This blog will walk through the most popular and fascinating open source big data projects. Apache Beam Source: Google Cloud Platform Apache Beam is an advanced unified programming open-source model launched in 2016. 20 Open Source Big Data Projects To Contribute There are thousands of open-source projects in action today.

Big Data 52

Big Data Project Metadata Programming Language 52

Rockset

MAY 8, 2023

In this blog, we capture engineering stories from 5 early adopters of vector search- Pinterest, Spotify, eBay, Airbnb and Doordash- who have integrated AI into their applications. In the next sections, we’ll summarize 5 engineering blogs on vector search and highlight key implementation considerations.

Metadata 52

Metadata Algorithm Datasets Google Cloud 52

Knowledge Hut

MARCH 28, 2024

In this blog, I will explore Azure data engineer jobs and the top 10 job roles in this field where you can begin your career. Education & Skills Required Using technologies such as Hadoop, Kafka, and Spark. Strong understanding of cloud computing principles, data warehousing concepts, and best practices. Let’s get started.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

Knowledge Hut

OCTOBER 12, 2023

In such cases, Cloud Computing online training can help you the most. In this blog, I will explain how certifications can help you to build a great future for yourself. Learn what it takes to develop a successful career and decide if cloud architecture is the correct route for you.

Cloud 52

Cloud Cloud Computing Certification AWS 52

Edureka

AUGUST 29, 2024

This blog will discuss aspects related to Data Engineer Pay Analysis by Experience, Location & Employer We will also guide you on which salary to expect, and how it is possible for you to increase your earning in this profession as well. Location One could see from the table of average salaries below that location played a huge role.

Data Engineer 40

Data Engineer Data Engineering Engineering Portfolio 40

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry. List some of the essential features of Hadoop.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

Cloudera

DECEMBER 12, 2018

Greg Rahn: Toward the end of that eight-year stint, I saw this thing coming up called Hadoop and an engine called Hive. It kind of was interesting to me that there were these big internet companies in the valley running this platform or a variation thereof of, based on Google research papers. There’s MongoDB for document stores.

Data Warehouse 42

Data Warehouse Relational Database Hadoop Database 42

ProjectPro

JULY 12, 2021

This blog will take you through a relatively new career title in the data industry — AI Engineer. Additionally, the role involves the deployment of machine learning/deep learning problem solutions over the cloud using tools like Hadoop, Spark, etc. Now, you need to be able to deploy these applications and scale them.

Engineering 40

Engineering Deep Learning Software Engineer Software Engineering 40

ProjectPro

JANUARY 31, 2022

Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Snowflake is not based on existing database systems or big data software platforms like Hadoop.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

phData: Data Engineering

JANUARY 3, 2022

This is a config driven tool that is made by HashiCorp and is supported by over 1000+ providers such as: AWS Azure Google Cloud Oracle Alibaba Okta Kubernetes As you can see, there’s support for all the major cloud providers and various other auxiliary tooling that enterprises frequently leverage.

IT 52

IT AWS Software Engineer Software Engineering 52

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.

Big Data 52

Big Data Coding Project Hadoop 52

AltexSoft

NOVEMBER 7, 2022

So you can quickly link to many popular databases, cloud services, and other tools — such as MySQL, PostgreSQL, HDFS ( Hadoop distributed file system), Oracle, AWS, Google Cloud, Microsoft Azure, Snowflake, Slack, Tableau , and so on. If you are interested in web development, take a look at our blog post on.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

Databand.ai

DECEMBER 20, 2022

He is also an open-source developer at The Apache Software Foundation and the author of Hysterical , a popular blog on tech careers and topics like data, coding, and engineering. Brian shares advice regularly on his Medium blog and GitHub , as well as on LinkedIn, focusing on topics like data science, data engineering, data strategy, and SQL.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

Rockset

APRIL 15, 2022

We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Most were cloud native ( Amazon Kinesis , Google Cloud Dataflow) or were commercially adapted for the cloud ( Kafka ⇒ Confluent, Spark ⇒ Databricks). They were unaffordable for most companies.

Analytics Application 52

Analytics Application Data Warehouse Kafka Database 52

AltexSoft

DECEMBER 15, 2021

Source: Google Cloud Blog. All these systems natively support big data technologies ( Hadoop and Spark ) and simplify model deployment — both on-premises or on any cloud, including AWS, Google, or Microsoft Azure. In the case of cloud deployment, your ML product will be wrapped as a REST API endpoint.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59