Big Data Tools Blog Building Scala 
Knowledge Hut
SEPTEMBER 6, 2023
Problem-Solving Abilities: Many certification courses provide projects and assessments which require hands-on practice of big data tools which enhances your problem solving capabilities. Networking Opportunities: While pursuing big data certification course you are likely to interact with trainers and other data professionals.
Big Data Tools
AUGUST 3, 2021
Here’s what’s happening in data engineering right now. Apache Spark already has two official APIs for JVM – Scala and Java – but we’re hoping the Kotlin API will be useful as well, as we’ve introduced several unique features. Building Data Pipelines Using Kotlin – Surprisingly, big companies are using Kotlin for data pipelines, too!
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Big Data Tools
AUGUST 3, 2021
Here’s what’s happening in data engineering right now. Apache Spark already has two official APIs for JVM – Scala and Java – but we’re hoping the Kotlin API will be useful as well, as we’ve introduced several unique features. Building Data Pipelines Using Kotlin – Surprisingly, big companies are using Kotlin for data pipelines, too!
ProjectPro
FEBRUARY 16, 2023
Whether you're looking to expand your knowledge or get a head start on a big data project, our blog has got you covered. This Spark book will teach you the spark application architecture , how to develop Spark applications in Scala and Python, and RDD, SparkSQL, and APIs. PREVIOUS NEXT <
ProjectPro
JANUARY 24, 2023
It is a popular ETL tool well-suited for big data environments and extensively used by data engineers today to build and maintain data pipelines with minimal effort. Glue automatically creates Scala or Python code for your ETL tasks, which you can modify using tools you are already comfortable with.
AltexSoft
FEBRUARY 11, 2023
.); machine learning and deep learning models; and business intelligence tools. If you are not familiar with the above-mentioned concepts, we suggest you to follow the links above to learn more about each of them in our blog posts. By the way, we have a video dedicated to the data engineering working principles.
Knowledge Hut
SEPTEMBER 26, 2023
We as Azure Data Engineers should have extensive knowledge of data modelling and ETL (extract, transform, load) procedures in addition to extensive expertise in creating and managing data pipelines, data lakes, and data warehouses. ETL activities are also the responsibility of data engineers.
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