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Going From Transactional To Analytical And Self-managed To Cloud On One Database With MariaDB

Data Engineering Podcast

Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. That’s where our friends at Ascend.io

Database 100
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Azure Data Factory vs AWS Glue-The Cloud ETL Battle

ProjectPro

A survey by Data Warehousing Institute TDWI found that AWS Glue and Azure Data Factory are the most popular cloud ETL tools with 69% and 67% of the survey respondents mentioning that they have been using them. Azure Data Factory and AWS Glue are powerful tools for data engineers who want to perform ETL on Big Data in the Cloud.

AWS 52
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Unpacking Fauna: A Global Scale Cloud Native Database

Data Engineering Podcast

FaunaDB is a cloud native database built by the engineers behind Twitter’s infrastructure and designed to serve the needs of modern systems. By transparently pulling data from underlying silos, Alluxio unlocks the value of your data and allows for modern computation-intensive workloads to become truly elastic and flexible for the cloud.

Database 100
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Bring your Snowpark models to life on ThoughtSpot

ThoughtSpot

If you’re new to Snowpark, this is Snowflake ’s set of libraries and runtimes that securely deploy and process non-SQL code including Python, Java, and Scala. Start using AI-Powered Analytics for your Snowflake Data Cloud— try it for yourself.

Scala 84
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Discover And De-Clutter Your Unstructured Data With Aparavi

Data Engineering Podcast

Aparavi was created to tame the sprawl of information across machines, datacenters, and clouds so that you can reduce the amount of duplicate data and save time and money on managing your data assets. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability.

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Apache Spark Use Cases & Applications

Knowledge Hut

As per Apache, “ Apache Spark is a unified analytics engine for large-scale data processing ” Spark is a cluster computing framework, somewhat similar to MapReduce but has a lot more capabilities, features, speed and provides APIs for developers in many languages like Scala, Python, Java and R.

Scala 52
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How to Become an Azure Data Engineer? 2023 Roadmap

Knowledge Hut

Additionally, they convert data into formats that can be used and store it effectively and securely in the Azure cloud. Data engineers must know data management fundamentals, programming languages like Python and Java, cloud computing and have practical knowledge on data technology.