Data Engineering Podcast

MAY 27, 2018

Links Alooma Convert Media Data Integration ESB (Enterprise Service Bus) Tibco Mulesoft ETL (Extract, Transform, Load) Informatica Microsoft SSIS OLAP Cube S3 Azure Cloud Storage Snowflake DB Redshift BigQuery Salesforce Hubspot Zendesk Spark The Log: What every software engineer should know about real-time data’s unifying abstraction by Jay (..)

Data Pipeline 100

Data Pipeline MongoDB Scala Google Cloud 100

Data Engineering Podcast

NOVEMBER 18, 2018

Contact Info LinkedIn @fhueske on Twitter fhueske on GitHub Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Process 100

Process Scala Google Cloud Kafka 100

ProjectPro

FEBRUARY 21, 2023

Vendor-Specific Data Engineering Certifications The vendor-specific data engineer certifications help you enhance your knowledge and skills relevant to specific vendors, such as Azure, Google Cloud Platform, AWS, and other cloud service vendors. Expertise in leveraging cloud platforms, data services, and solutions.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Edureka

MAY 6, 2024

Step 1) Learn Programming Language Start by choosing a programming language you’re comfortable with, such as Python, Java, Scala, or Ruby. Step 4) Model Deployment Study how to deploy machine learning models on cloud platforms like AWS, Google Cloud Platform (GCP), or Microsoft Azure.

Machine Learning 52

Machine Learning Metadata Programming Language Healthcare 52

Snowflake

AUGUST 16, 2023

The Snowflake Native App Framework remains available in private preview on Google Cloud Platform and Azure. Automated fulfillment of data across regions and clouds – general availability Listing providers in Snowflake can now ensure their consumers always have fresh, up-to-date data irrespective of their region or cloud.

Scala 52

Scala Transportation Kafka Data Lake 52

Cloud Academy

JANUARY 27, 2022

Some good options are Python (because of its flexibility and being able to handle many data types), as well as Java, Scala, and Go. Apache Hadoop Introduction to Google Cloud Dataproc Hadoop allows for distributed processing of large datasets. Rely on the real information to guide you. Are data engineers in demand?

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

AltexSoft

JULY 29, 2022

They enable you to access the framework functionality in the cloud, typically charging fees per cluster/ per hour. It lets you run MapReduce and Spark jobs on data kept in Google Cloud Storage (instead of HDFS); or. Oracle Big Data Service , offering customers a fully-managed Hadoop environment in the cloud.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Databand.ai

DECEMBER 20, 2022

He produces weekly tech talk videos on the IBM Technology YouTube channel (270K+ subs) in areas such as machine learning, artificial intelligence, mobile devices, and hybrid cloud. On LinkedIn, Richard frequently posts about Google Cloud, data engineering, data analytics, SQL, and coding.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

Knowledge Hut

JUNE 26, 2023

Hundreds of datasets are available from these two cloud services, so you may practise your analytical skills without having to scrape data from an API. The processed data are uploaded to Google Cloud Storage, where they are then subjected to transformation with the assistance of dbt. Master data processing methods.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Knowledge Hut

JUNE 23, 2023

Let us look at the steps to becoming a data engineer: Step 1 - Skills for Data Engineer to be Mastered for Project Management Learn the fundamentals of coding skills, database design, and cloud computing to start your career in data engineering. Pathway 2: How to Become a Certified Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Databand.ai

DECEMBER 13, 2022

Follow Charles on LinkedIn 3) Deepak Goyal Azure Instructor at Microsoft Deepak is a certified big data and Azure Cloud Solution Architect with more than 13 years of experience in the IT industry. It also features tidbits from Deepak’s personal experience and advice on acing interviews to help land your dream job.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Knowledge Hut

JUNE 16, 2023

Cloud computing: For data analysts, familiarity with cloud computing platforms like AWS, Azure, and Google Cloud Platform is crucial. Data modeling and database management: Data analysts must be familiar with DBMS like MySQL, Oracle, and PostgreSQL as well as data modeling software like ERwin and Visio.

Programming Language 52

Programming Language Cloud Computing Data Preparation Data Science 52

Knowledge Hut

SEPTEMBER 6, 2023

Programming Languages : Good command on programming languages like Python, Java, or Scala is important as it enables you to handle data and derive insights from it. Cloud Computing : Knowledge of cloud platforms like AWS, Azure, or Google Cloud is essential as these are used by many organizations to deploy their big data solutions.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

DECEMBER 26, 2023

It provides third-party language binding packages for C#, Haskell, Julia, MATLAB, R, Scala, Rust, OCaml, and Crystal. Deep learning models built on top of TPUs can be easily deployed over clouds, and they work faster than the other two.

Deep Learning 98

Deep Learning Python Machine Learning Programming Language 98

Edureka

FEBRUARY 9, 2023

As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform. Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

DECEMBER 21, 2021

Also, you need to gain an excellent understanding of Scala, Python, and Java to work as a machine learning engineer. Machine Learning Cloud Architect The key responsibility of a cloud architect involves overseeing an organization's cloud platform. in a Machine Learning Cloud Architect. per hour in the US.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

AltexSoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. A single cluster can span across multiple data centers and cloud facilities. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift. You can find off-the-shelf links for.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

JANUARY 31, 2022

As the demand for big data grows, an increasing number of businesses are turning to cloud data warehouses. The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Knowledge Hut

FEBRUARY 27, 2023

They should be familiar with major coding languages like R, Python, Scala, and Java and scientific computing tools like MATLAB. Besides these subjects, they should also be familiar with computer science as a significant part of machine learning jobs in Singapore involves working on code.

Machine Learning 52

Machine Learning Software Engineer Software Engineering Education 52

Confluent

SEPTEMBER 20, 2019

Cloud Memorystore, Amazon ElastiCache, and Azure Cache), applying this concept to a distributed streaming platform is fairly new. Before Confluent Cloud was announced , a managed service for Apache Kafka did not exist. Confluent Cloud for instance, allows the user to effectively start working with Apache Kafka in 90 seconds.

Kafka 21

Kafka Management Cloud AWS 21

ProjectPro

JULY 27, 2021

Top 100+ Data Engineer Interview Questions and Answers The following sections consist of the top 100+ data engineer interview questions divided based on big data fundamentals, big data tools/technologies, and big data cloud computing platforms. Amazon Elastic Transcoder is a cloud-based media transcoding service.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40