ProjectPro

JUNE 6, 2025

The distributed execution engine in the Spark core provides APIs in Java, Python, and Scala for constructing distributed ETL applications. The following are the persistence levels available in Spark: MEMORY ONLY: This is the default persistence level, and it's used to save RDDs on the JVM as deserialized Java objects.

Hadoop 68

Hadoop Metadata Java Datasets 68

ProjectPro

JUNE 6, 2025

Cloud platforms like Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure , Cloudera, etc., Java, Scala, and Python Programming are the essential languages in the data analytics domain. Recommended programming languages are Python, R, and Core Java. It runs on the Java Virtual Machine (or JVM).

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

Cloudera

OCTOBER 12, 2020

This typically involved a lot of coding with Java, Scala or similar technologies. We recently delivered all three of these streaming capabilities as cloud services through Cloudera Data Platform (CDP) Data Hub on AWS and Azure. We are especially proud to help grow Flink, the software, as well as the Flink community. .

Cloud 132

Cloud Process Scala Kafka 132

ProjectPro

JUNE 6, 2025

Project Idea: PySpark ETL Project-Build a Data Pipeline using S3 and MySQL Experience Hands-on Learning with the Best AWS Data Engineering Course and Get Certified! And the three popular choices for that are Microsoft Azure , Amazon Web Services (AWS), and Google Cloud Platform (GCP). as they are required for processing large datasets.

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

Zalando Engineering

APRIL 12, 2023

Some teams use tools like dependabot , scala-steward that create pull requests in repositories when new library versions are available. Another insight from analyzing the SBOM data was our usage of the AWS SDK. We noticed that some applications were using the full SDK (200MB+ in Java) instead of its individual modules.

Java 98

Java Scala Metadata Python 98

Cloudera

JULY 13, 2021

After the launch of CDP Data Engineering (CDE) on AWS a few months ago, we are thrilled to announce that CDE, the only cloud-native service purpose built for enterprise data engineers, is now available on Microsoft Azure. . CDE supports Scala, Java, and Python jobs. CDE also support Airflow job types. .

Data Engineer 127

Data Engineer Data Engineering Engineering Pipeline-centric 127

ProjectPro

JUNE 6, 2025

There are several popular data lake vendors in the market, such as AWS, Microsoft Azure , Google Cloud Platform , etc. These development environments support Scala , Python, Java, and.NET and also include Visual Studio, VSCode, Eclipse, and IntelliJ.

Data Lake 40

Data Lake Big Data Architecture Cloud 40

Snowflake

DECEMBER 20, 2023

To expand the capabilities of the Snowflake engine beyond SQL-based workloads, Snowflake launched Snowpark , which added support for Python, Java and Scala inside virtual warehouse compute. The team is moving fast to make Snowpark Container Services available across all AWS regions, with support for other clouds to follow.

Scala 142

Scala Government Java Cloud 142

Data Engineering Podcast

NOVEMBER 20, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP. Support Data Engineering Podcast

Data Lake 130

Data Lake MongoDB Data Ingestion Scala 130

ProjectPro

JUNE 6, 2025

by ingesting raw data into a cloud storage solution like AWS S3. Store raw data in AWS S3, preprocess it using AWS Lambda, and query structured data in Amazon Athena. Ingest data into AWS S3, preprocess it with PySpark, and analyze it in Amazon Redshift. Build your Data Engineer Portfolio with ProjectPro!

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

Multi-Language Support PySpark platform is compatible with various programming languages, including Scala , Java, Python, and R. PySpark allows you to process data from Hadoop HDFS , AWS S3, and various other file systems. batchSize- A single Java object (batchSize) represents the number of Python objects.

Big Data 40

Big Data Data Process Process Kafka 40

Data Engineering Podcast

JUNE 19, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP.

Metadata 130

Metadata MongoDB Scala MySQL 130

ProjectPro

JUNE 6, 2025

The AWS-Snowflake Partnership Snowflake is a cloud-native data warehousing platform for importing, analyzing, and reporting vast amounts of data first distributed on Amazon Web Services ( AWS ). You can deploy Snowflake environments directly from the AWS cloud for AWS users. It runs on AWS, Azure, and GCP.

Architecture 56

Architecture IT Data Warehouse Amazon Web Services 56

Data Engineering Podcast

JUNE 12, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP.

Unstructured Data 130

Unstructured Data MongoDB Scala MySQL 130

Monte Carlo

OCTOBER 31, 2024

In addition, AI data engineers should be familiar with programming languages such as Python , Java, Scala, and more for data pipeline, data lineage, and AI model development.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Data Engineering Podcast

NOVEMBER 6, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP.

MongoDB 130

MongoDB Scala MySQL Data Lake 130

ProjectPro

JUNE 6, 2025

We implemented the data engineering/processing pipeline inside Apache Kafka producers using Java, which was responsible for sending messages to specific topics. They are supported by different programming languages like Scala , Java, and python. They are using Scala, Java, Python, or R. Do Data engineers code?

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

AWS or Azure? For instance, earning an AWS data engineering professional certificate can teach you efficient ways to use AWS resources within the data engineering lifecycle, significantly lowering resource wastage and increasing efficiency. Cloudera or Databricks? Table of Contents Why Are Data Engineering Skills In Demand?

Certification 40

Certification Data Engineering Data Engineer Engineering 40

Snowflake

SEPTEMBER 7, 2023

Snowpark is the set of libraries and runtimes that enables data engineers, data scientists and developers to build data engineering pipelines, ML workflows, and data applications in Python, Java, and Scala. With this announcement, External Access is in public preview on Amazon Web Services (AWS) regions.

Amazon Web Services 134

Amazon Web Services Government AWS Transportation 134

ProjectPro

JUNE 6, 2025

Hadoop can execute MapReduce applications in various languages, including Java, Ruby, Python, and C++. So, if some functions are not accessible in built-in operators, we may programmatically build User Defined Functions (UDF) in other languages such as Java, Python, Ruby, and so on and embed them in Script files.

Big Data 40

Big Data Hadoop Relational Database AWS 40

ProjectPro

JUNE 6, 2025

For example, C, C++, Go, Java, Node, Python, Rust, Scala , Swift, etc. You have an option to select a PaaS (Platform-as-a-Service) and use it with AWS Elastic Beanstalk, a cloud infrastructure to manage networking, operating systems, and runtime environment for your project. MongoDB supports several programming languages.

MongoDB 66

MongoDB Coding Project NoSQL 66

Data Engineering Podcast

AUGUST 21, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP.

Lambda Architecture 100

Lambda Architecture MongoDB Scala MySQL 100

ProjectPro

JUNE 6, 2025

Amazon Kinesis is a managed, scalable, cloud-based service offered by Amazon Web Services (AWS) that enables real-time processing of streaming big data per second. Secure: Kinesis provides encryption at rest and in transit, access control using AWS IAM , and integration with AWS CloudTrail for security and compliance.

Kafka 40

Kafka AWS Amazon Web Services Data Ingestion 40

ProjectPro

JUNE 6, 2025

The complete data architect skill set is shown below: Listed below are the essential skills of a data architect: Programming Skills Knowledge of programming languages such as Python and Java to develop applications for data analysis. Data Modeling Another crucial skill for a data architect is data modeling.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

Knowledge Hut

MAY 3, 2024

Spark offers over 80 high-level operators that make it easy to build parallel apps and one can use it interactively from the Scala, Python, R, and SQL shells. The core is the distributed execution engine and the Java, Scala, and Python APIs offer a platform for distributed ETL application development. Basic knowledge of SQL.

Scala 98

Scala Hadoop Healthcare Big Data 98

ProjectPro

JUNE 6, 2025

It provides high-level APIs for R, Python, Java, and Scala. Apache Hadoop Hadoop is an open-source framework built on Java that helps big data professionals to store and analyze big data. Why Are Big Data Tools Valuable to Data Professionals? It has built-in machine learning algorithms, SQL, and data streaming modules.

Big Data Tools 40

Big Data Tools Big Data Hadoop Kafka 40

Data Engineering Podcast

SEPTEMBER 11, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP.

Data Pipeline 130

Data Pipeline Building MongoDB Scala 130

Data Engineering Podcast

OCTOBER 16, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP.

Data Lake 100

Data Lake Food MongoDB Scala 100

Data Engineering Podcast

OCTOBER 30, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP.

Engineering 100

Engineering MongoDB Scala MySQL 100

Knowledge Hut

MAY 3, 2024

3 Needs re-configuration for Scaling Scales easily by just adding java processes, No reconfiguration required. cache, local space) 8 It supports multiple languages such as Java, Scala, R, and Python. Java is the primary language that Apache Kafka supports. 7 Kafka stores data in Topic i.e., in a buffer memory.

Kafka 98

Kafka Scala Java Amazon Web Services 98

Confluent

JUNE 7, 2019

Loading involves batching and storing data in Avro for replay and schema evolution, as well as in Parquet for optimized batch processing in AWS Athena. To interface with the peer-to-peer network, we have node templates written in Terraform, which allow us to easily deploy and bootstrap nodes across the planet in different AWS regions.

Accessible 93

Accessible Accessibility Kafka Scala 93

Data Engineering Podcast

JULY 17, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP.

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Data Engineering Podcast

AUGUST 13, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP.

Metadata 100

Metadata MongoDB Scala MySQL 100

Knowledge Hut

SEPTEMBER 29, 2023

As an expert in the dynamic world of cloud computing, I am always amazed by the variety of job prospects provided by Amazon Web Services (AWS). Having an Amazon AWS online course certification in your possession will allow you to showcase the most sought-after skills in the industry. Who is an AWS Engineer?

AWS 52

AWS Amazon Web Services Cloud Computing Programming Language 52

Knowledge Hut

SEPTEMBER 24, 2024

Can use Selenium API with programming languages like Java, C#, Ruby, Python, Perl PHP, Javascript, R, etc. Ranorex Webtestit: A lightweight IDE optimized for building UI web tests with Selenium or Protractor It generates native Selenium and Protractor code in Java and Typescript respectively. Supports cross-browser testing.

Java 98

Java Programming Language Pipeline-centric Database-centric 98

Data Engineering Podcast

MAY 29, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP.

Database 100

Database Architecture Data Architecture PostgreSQL 100

Data Engineering Podcast

JUNE 5, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP.

Data Security 100

Data Security Metadata MongoDB Scala 100