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 MySQL Scala Machine Learning 130

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 121

Scala Government Java Cloud 121

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.

Hadoop 98

Hadoop Scala Healthcare Big Data 98

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 MySQL Scala 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

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 121

Amazon Web Services AWS Government Python 121

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 MySQL 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 MySQL 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 MySQL Scala 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.

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

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

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 MySQL Scala 100

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

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

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

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 MySQL 100

Data Engineering Podcast

JULY 3, 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 Integration 100

Data Integration MongoDB MySQL Scala 100

Data Engineering Podcast

JULY 10, 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

JULY 24, 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 100

MongoDB MySQL Scala Data Lake 100

Data Engineering Podcast

JULY 31, 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 Analysis 100

Data Analysis MongoDB Algorithm MySQL 100

Data Engineering Podcast

AUGUST 28, 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.

Building 100

Building MongoDB MySQL Scala 100

Data Engineering Podcast

SEPTEMBER 18, 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.

Hospitality 100

Hospitality Food MongoDB MySQL 100

Data Engineering Podcast

SEPTEMBER 25, 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.

Food 100

Food MongoDB MySQL Scala 100

Data Engineering Podcast

OCTOBER 23, 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 MySQL Cloud MongoDB 100

Data Engineering Podcast

NOVEMBER 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.

MongoDB 100

MongoDB Google Cloud MySQL Scala 100

Data Engineering Podcast

JUNE 26, 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 Management 100

Data Management Management MongoDB MySQL 100

Data Engineering Podcast

AUGUST 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.

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 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.

Machine Learning 100

Machine Learning Pipeline-centric Database-centric MongoDB 100

Data Engineering Podcast

OCTOBER 2, 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.

IT 100

IT Food PostgreSQL MongoDB 100

Data Engineering Podcast

OCTOBER 9, 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.

Food 100

Food MongoDB MySQL Scala 100

Rockset

NOVEMBER 4, 2021

Even though Spark is written in Scala, you can interact with Spark with multiple languages like Spark, Python, and Java. Getting started with Apache Spark You’ll need to ensure you have Apache Spark, Scala, and the latest Java version installed. We’ll also need to support integration with AWS.

Scala 52

Scala Java AWS Hadoop 52

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. The appropriate Spark dependencies (spark-core/spark-sql or spark-connect-client-jvm) will be provided later in the Java classpath, depending on the run mode. classOf[SparkSession.Builder].getDeclaredMethod("remote",

Scala 68

Scala Java AWS Coding 68

Data Engineering Podcast

SEPTEMBER 4, 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 100

MongoDB MySQL Scala Machine Learning 100

Knowledge Hut

DECEMBER 27, 2023

Companies like Amazon, which uses AWS (Amazon Web Service), hire individuals with knowledge of cloud platforms. With the help of python, Java, and Ruby, along with AI and ML, you can create any application. Oracle Java SE Oracle offers several certification courses at professional, master, and expert levels.

Medical 98

Medical Programming Language Amazon Web Services Entertainment 98

AltexSoft

FEBRUARY 11, 2023

The exam is delivered through the AWS testing center network and is typically proctored in person. Also, they must have in-depth knowledge of data processing languages like Python, Scala, or SQL. They also must understand the main principles of how these services are implemented in data collection, storage and data visualization.

Data Architect 87

Data Architect Certification Generalist Big Data 87