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Tame The Entropy In Your Data Stack And Prevent Failures With Sifflet

Data Engineering Podcast

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. runs natively on data lakes and warehouses and in AWS, Google Cloud and Microsoft Azure.

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Taking A Look Under The Hood At CreditKarma's Data Platform

Data Engineering Podcast

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

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15+ Best Data Engineering Tools to Explore in 2023

Knowledge Hut

These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. Strong programming skills: Data engineers should have a good grasp of programming languages like Python, Java, or Scala, which are commonly used in data engineering.

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The Alooma Data Pipeline With CTO Yair Weinberger - Episode 33

Data Engineering Podcast

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 (..)

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Top 10 Real World Applications of Cloud Computing

Knowledge Hut

Google Cloud Google Cloud is a dependable, user-friendly, and secure cloud computing solution from one of today's most powerful technology companies. Despite having a smaller service portfolio than Azure, Google Cloud can nonetheless fulfill all of your IaaS and PaaS needs.

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What is Data Engineering? Skills, Tools, and Certifications

Cloud Academy

Some good options are Python (because of its flexibility and being able to handle many data types), as well as Java, Scala, and Go. Microsoft SQL Server Document-oriented database: MongoDB (classified as NoSQL) The Basics of Data Management, Data Manipulation and Data Modeling This learning path focuses on common data formats and interfaces.

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The Good and the Bad of Hadoop Big Data Framework

AltexSoft

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. The Ultimate Hands-on Hadoop requires programming experience in Python or Scala and familiarity with Linux.

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