ProjectPro

JUNE 6, 2025

Explore the world of data analytics with the top AWS databases! This is precisely where AWS offers a comprehensive array of database solutions tailored to different use cases, ensuring that data can be transformed into actionable insights with efficiency and precision.

AWS 40

AWS Database Amazon Web Services MySQL 40

ProjectPro

JUNE 6, 2025

The AWS Big Data Analytics Certification exam holds immense significance for professionals aspiring to demonstrate their expertise in designing and implementing big data solutions on the AWS platform. Additionally, as per a survey conducted by KDnuggets, AWS stood out at the top in terms of popularity among Indians and Americans.

Big Data 40

Big Data Certification AWS Hadoop 40

ProjectPro

FEBRUARY 8, 2023

AWS Glue is here to put an end to all your worries! Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Well, AWS Glue is the answer to your problems! In 2023, more than 5140 businesses worldwide have started using AWS Glue as a big data tool.

AWS 98

AWS Scala Metadata Data Lake 98

Towards Data Science

NOVEMBER 6, 2024

However, this ability to remotely run client applications written in any supported language (Scala, Python) appeared only in Spark 3.4. In any case, all client applications use the same Scala code to initialize SparkSession, which operates depending on the run mode. getOrCreate() // If the client application uses your Scala code (e.g.,

Scala 75

Scala Java AWS Hadoop 75

Rock the JVM

SEPTEMBER 9, 2020

Deploying Scala Code to AWS Lambda Is a Breeze: Discover Our Step-by-Step Tutorial to Guide You Through the Process

Scala 52

Scala AWS Coding Process 52

ProjectPro

JUNE 6, 2025

Project Idea: AWS Elk stack with a query example tutorial Master Data Engineering at your Own Pace with Project-Based Online Data Engineering Course ! Work on the project below to learn how such pipelines can be created with the help of big data tools like SnowFlake, AWS , Apache Airflow, and Kinesis. It is not as fast as Scala.

Data Engineer 40

Data Engineer Data Engineering Python Engineering 40

Christophe Blefari

JUNE 21, 2024

In the data world Snowflake and Databricks are our dedicated platforms, we consider them big, but when we take the whole tech ecosystem they are (so) small: AWS revenue is $80b, Azure is $62b and GCP is $37b. you could write the same pipeline in Java, in Scala, in Python, in SQL, etc.—with 3) Spark 4.0 Here we go again.

Metadata 147

Metadata Data Warehouse BI Scala 147

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 Engineer 49

Data Engineer Data Engineering Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

Ace your Big Data engineer interview by working on unique end-to-end solved Big Data Projects using Hadoop Prerequisites to Become a Big Data Developer Certain prerequisites to becoming a successful big data developer include a strong foundation in computer science and programming, encompassing languages such as Java, Python , or Scala.

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

Top 10+ Tools For Data Engineers Worth Exploring in 2025 Cloud-Based Data Engineering Tools Data Engineering Tools in AWS Data Engineering Tools in Azure FAQs on Data Engineering Tools What are Data Engineering Tools? AWS, Azure, GCP , etc., AWS Athena is serverless, so you won't have to establish or maintain any infrastructure.

Data Engineer 45

Data Engineer Data Engineering Engineering Kafka 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

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

Confluent

NOVEMBER 29, 2022

Learn how Zalando, Europe’s largest online fashion retailer, uses Apache Kafka and the Kafka Streams API with Scala on AWS for real-time fashion insights.

Scala 98

Scala Kafka Retail AWS 98

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 Engineer 59

Data Engineer Data Engineering Project Engineering 59

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 Engineer Data Engineering Engineering 40

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. Many tools in the world of data engineering revolve around Scala. provide cloud services for deploying data models.

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

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

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 137

Scala Government Java Cloud 137

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

Source: LinkedIn The rise of cloud computing has further accelerated the need for cloud-native ETL tools , such as AWS Glue , Azure Data Factory , and Google Cloud Dataflow. They are skilled in programming languages like Python , SQL , or Scala and work with tools like Apache Spark , Talend, Informatica, or Apache Airflow.

Data Engineer 40

Data Engineer Data Engineering Engineering ETL Tools 40

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. Dependency hygiene Dependency updates are a tedious task when maintaining thousands of microservices.

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.

Data Engineer 127

Data Engineer Data Engineering Engineering Pipeline-centric 127

Data Engineering Podcast

SEPTEMBER 9, 2018

Given that the S3 API has become a de facto standard for many other object storage platforms, what would be involved in running Chaos Search on data stored outside of AWS? Given that the S3 API has become a de facto standard for many other object storage platforms, what would be involved in running Chaos Search on data stored outside of AWS?

IT 100

IT PostgreSQL Scala AWS 100

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 Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

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 133

Amazon Web Services Government AWS Transportation 133

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

Data Engineering Podcast

DECEMBER 9, 2018

Book Discount Use the code poddataeng18 to get 40% off of all of Manning’s products at manning.com Links Apache Spark Spark In Action Book code examples in GitHub Informix International Informix Users Group MySQL Microsoft SQL Server ETL (Extract, Transform, Load) Spark SQL and Spark In Action ‘s chapter 11 Spark ML and Spark In Action (..)

Scala 100

Scala MySQL Kafka Hadoop 100

ProjectPro

JANUARY 24, 2023

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

AWS Cloud Amazon Web Services ETL Tools 52

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. PySpark, Hive, HDFS, Kafka, NiFi, Airflow, Tableau, and AWS QuickSight are the technologies used in this project.

Big Data 40

Big Data Data Process Process Kafka 40

ProjectPro

JUNE 6, 2025

Suppose a cloud professional takes a course focusing on using AWS Glue and Apache Spark for ETL (Extract, Transform, Load) processes. Suppose a cloud solutions architect takes a course with hands-on experience with Azure Data Factory and AWS Lambda functions.

Data Engineer 45

Data Engineer Data Engineering Cloud Engineering 45

Edureka

JULY 4, 2024

It is a cloud-based service by Amazon Web Services (AWS) that simplifies processing large, distributed datasets using popular open-source frameworks, including Apache Hadoop and Spark. Let’s see what is AWS EMR, its features, benefits, and especially how it helps you unlock the power of your big data. What is EMR in AWS?

AWS 52

AWS Amazon Web Services Hadoop Big Data 52

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

JANUARY 24, 2023

With over 20 pre-built connectors and 40 pre-built transformers, AWS Glue is an extract, transform, and load (ETL) service that is fully managed and allows users to easily process and import their data for analytics. AWS Glue Job Interview Questions For Experienced Mention some of the significant features of AWS Glue.

AWS 52

AWS Data Lake ETL Tools Scala 52

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

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.

Accessibility 93

Accessibility Accessible Kafka Scala 93