Data Engineering Podcast

NOVEMBER 13, 2022

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. RudderStack helps you build a customer data platform on your warehouse or data lake. RudderStack helps you build a customer data platform on your warehouse or data lake.

MongoDB 100

MongoDB Scala Google Cloud MySQL 100

Data Engineering Podcast

OCTOBER 30, 2022

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. RudderStack helps you build a customer data platform on your warehouse or data lake. RudderStack helps you build a customer data platform on your warehouse or data lake.

Engineering 100

Engineering MongoDB Scala MySQL 100

Data Engineering Podcast

OCTOBER 23, 2022

Mention the podcast to get a free "In Data We Trust World Tour" t-shirt. RudderStack helps you build a customer data platform on your warehouse or data lake. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability.

Database 100

Database MySQL Cloud MongoDB 100

Data Engineering Podcast

SEPTEMBER 25, 2022

Mention the podcast to get a free "In Data We Trust World Tour" t-shirt. RudderStack helps you build a customer data platform on your warehouse or data lake. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability.

Food 100

Food MongoDB Scala MySQL 100

Data Engineering Podcast

SEPTEMBER 18, 2022

RudderStack helps you build a customer data platform on your warehouse or data lake. Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control.

Hospitality 100

Hospitality Food MongoDB Scala 100

Data Engineering Podcast

JULY 24, 2022

RudderStack helps you build a customer data platform on your warehouse or data lake. Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control.

MongoDB 100

MongoDB Scala MySQL Data Lake 100

Data Engineering Podcast

JULY 10, 2022

RudderStack helps you build a customer data platform on your warehouse or data lake. Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control.

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Data Engineering Podcast

JULY 3, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. 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.

Data Integration 100

Data Integration MongoDB Scala MySQL 100

Data Engineering Podcast

SEPTEMBER 11, 2022

RudderStack helps you build a customer data platform on your warehouse or data lake. Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control.

Data Pipeline 130

Data Pipeline Building MongoDB Scala 130

Data Engineering Podcast

OCTOBER 9, 2022

Mention the podcast to get a free "In Data We Trust World Tour" t-shirt. RudderStack helps you build a customer data platform on your warehouse or data lake. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability.

Food 100

Food MongoDB Scala MySQL 100

Data Engineering Podcast

OCTOBER 2, 2022

Mention the podcast to get a free "In Data We Trust World Tour" t-shirt. RudderStack helps you build a customer data platform on your warehouse or data lake. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability.

IT 100

IT Food PostgreSQL MongoDB 100

ProjectPro

JANUARY 24, 2023

In addition to databases running on AWS, Glue can automatically find structured and semi-structured data kept in your data lake on Amazon S3, data warehouse on Amazon Redshift, and other storage locations. Furthermore, AWS Glue DataBrew allows you to visually clean and normalize data without any code.

AWS 52

AWS Data Lake ETL Tools Scala 52

Knowledge Hut

DECEMBER 26, 2023

Some of the best books that will guide you in Scala are:- Scala Cookbook: Recipes for Object-Oriented and Functional Programming (Author: Alvin Alexander) Scala for the Impatient (Author: Cay S. Horstmann) Programming Scala: Scalability = Functional Programming + Objects (Author: Alex Payne and Dean Wampler) 2.

Data Science 52

Data Science Scala Programming Language R (Programming) 52

Data Engineering Podcast

AUGUST 6, 2022

RudderStack helps you build a customer data platform on your warehouse or data lake. Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control.

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Data Engineering Podcast

JUNE 26, 2022

Data Engineering Podcast listeners can sign up for a free 2-week sandbox account, go to dataengineeringpodcast.com/tonic today to give it a try! RudderStack helps you build a customer data platform on your warehouse or data lake. RudderStack helps you build a customer data platform on your warehouse or data lake.

Data Management 100

Data Management Management MongoDB Scala 100

Data Engineering Podcast

NOVEMBER 18, 2019

Summary With the constant evolution of technology for data management it can seem impossible to make an informed decision about whether to build a data warehouse, or a data lake, or just leave your data wherever it currently rests. How does it influence the relevancy of data warehouses or data lakes?

Data Lake 100

Data Lake Scala Data Warehouse Hadoop 100

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. Different techniques are employed to store various kinds of data.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Ascend.io

SEPTEMBER 14, 2023

Read More: Data Automation Engineer: Skills, Workflow, and Business Impact Python for Data Engineering Versus SQL, Java, and Scala When diving into the domain of data engineering, understanding the strengths and weaknesses of your chosen programming language is essential.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

DataKitchen

AUGUST 3, 2021

First-generation – expensive, proprietary enterprise data warehouse and business intelligence platforms maintained by a specialized team drowning in technical debt. Second-generation – gigantic, complex data lake maintained by a specialized team drowning in technical debt. Data professionals are not perfectly interchangeable.

Pharmaceutical 98

Pharmaceutical Data Lake Data Architecture Scala 98

ProjectPro

JANUARY 24, 2023

Programming Language.NET and Python Python and Scala AWS Glue vs. Azure Data Factory Pricing Glue prices are primarily based on data processing unit (DPU) hours. Integration with other AWS services like S3, Redshift, etc. ADF features a REST API,Net and Python SDKs, and a PowerShell CLI as developer tools.

AWS 52

AWS Cloud Amazon Web Services ETL Tools 52

Data Engineering Podcast

SEPTEMBER 9, 2018

Links Chaos Search AWS S3 Cassandra Elasticsearch Podcast Interview PostgreSQL Distributed Systems Information Theory Lucene Inverted Index Kibana Logstash NVMe AWS KMS Kinesis FluentD Parquet Athena Presto Drill Backblaze OpenStack Swift Minio EMR DataDog NewRelic Elastic Beats Metricbeat Graphite Snappy Scala Akka Elastalert Tensorflow X-Pack Data (..)

IT 100

IT PostgreSQL Scala AWS 100

Snowflake

AUGUST 16, 2023

With this new feature, developers and data engineers can easily instrument their code to capture logs and traces across UDFs, UDTFs and stored procedures for all languages: Java, Scala, JavaScript, Python and Snowflake Scripting. Learn more here.

Scala 52

Scala Transportation Kafka Data Lake 52

Knowledge Hut

APRIL 25, 2023

Here are some essential skills for data engineers when working with data engineering tools. Strong programming skills: Data engineers should have a good grasp of programming languages like Python, Java, or Scala, which are commonly used in data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

NOVEMBER 28, 2023

Python is ubiquitous, which you can use in the backends, streamline data processing, learn how to build effective data architectures, and maintain large data systems. Java can be used to build APIs and move them to destinations in the appropriate logistics of data landscapes.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

APRIL 26, 2024

They need to be competent programmers with some skills that are very similar to those necessary in a DevOps job, and with good and powerful writing skills for data query. Another main aspect of this position is database design (RDBMS, NoSQL, and NewSQL), data warehousing, and setting up a data lake.

Data Science 52

Data Science Machine Learning Hadoop Programming Language 52

Edureka

FEBRUARY 7, 2023

They should also be proficient in programming languages such as Python , SQL , and Scala , and be familiar with big data technologies such as HDFS , Spark , and Hive. Learn programming languages: Azure Data Engineers should have a strong understanding of programming languages such as Python , SQL , and Scala.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Snowflake

JULY 10, 2023

Secure, unified processing with Snowpark To address these challenges, we’ve added the ability to process unstructured files in Java (generally available), Python (public preview), and Scala (public preview) natively in Snowflake with Snowpark. Using a Python UDF, we were able to accomplish this task. ” U.S.

Unstructured Data 40

Unstructured Data Python Process Scala 40

Big Data Tools

MAY 19, 2022

Apache Hudi 1.11.0 – This release of the well-known data lake has added many interesting changes. The team has also added the ability to run Scala for the SparkSQL engine. There’s at least one interesting twist that goes like this: “A data pipeline has five stages grouped into three heads.”

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

MAY 19, 2022

Apache Hudi 1.11.0 – This release of the well-known data lake has added many interesting changes. The team has also added the ability to run Scala for the SparkSQL engine. There’s at least one interesting twist that goes like this: “A data pipeline has five stages grouped into three heads.”

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Knowledge Hut

DECEMBER 28, 2023

The certification path covers a comprehensive range of topics crucial for a successful career as an Azure Data Engineer: Data storage options like Azure Data Lake Storage and Azure SQL Data Warehouse Data processing solutions such as Azure Databricks and Azure Stream Analytics.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

FEBRUARY 16, 2023

This ETL engine produces the Scala or Python code for the ETL process and features for ETL jobs monitoring, scheduling, and metadata management. After the Crawler is set up, it will automatically scan the data source and generate a table in the Glue Data Catalog, which will serve as the source for your ETL job.

AWS 52

AWS Data Management ETL Tools Management 52

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

Monte Carlo

MAY 31, 2022

Spark supports several different programming interfaces that can create jobs such as Scala, Python, or R. Following are examples from Databricks notebooks in Python, Scala, and R that all do the same thing – load a CSV file into a Spark DataFrame. Python %python data = spark.read.format('csv').option('header',

Data Lake 52

Data Lake Building Scala Metadata 52

Snowflake

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. These patterns include both centralized storage patterns like data warehouse , data lake and data lakehouse , and distributed patterns such as data mesh.

Data Lake 92

Data Lake Data Warehouse Cloud Unstructured Data 92

Knowledge Hut

SEPTEMBER 29, 2023

By combining data from various structured and unstructured data systems into structures, Microsoft Azure Data Engineers will be able to create analytics solutions. Why Should You Get an Azure Data Engineer Certification? You can browse the data lake files with the interactive training material.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

FEBRUARY 21, 2023

Azure Data Engineer Associate DP-203 Certification Candidates for this exam must possess a thorough understanding of SQL, Python, and Scala, among other data processing languages. Must be familiar with data architecture, data warehousing, parallel processing concepts, etc.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

OCTOBER 3, 2023

With this in hand, you will show you understand Azure’s data capabilities well, and you can build data solutions in the cloud. Solid understanding of Scala, Python, SQL, and other data processing languages is needed.

Certification 52

Certification Cloud Computing Machine Learning SQL 52