Data Engineering Podcast

OCTOBER 16, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Data teams are increasingly under pressure to deliver. That’s where our friends at Ascend.io

Data Lake 100

Data Lake Food MongoDB Scala 100

Data Engineering Podcast

AUGUST 6, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Data teams are increasingly under pressure to deliver. That’s where our friends at Ascend.io

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Data Engineering Podcast

NOVEMBER 13, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. CreditKarma was one of the first FinTech companies to migrate to the cloud, specifically GCP. Why migrate?

MongoDB 100

MongoDB Scala Google Cloud MySQL 100

Data Engineering Podcast

OCTOBER 30, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. That’s where our friends at Ascend.io Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Engineering 100

Engineering MongoDB Scala MySQL 100

Data Engineering Podcast

JULY 24, 2022

release, and the new features coming with Dagster Cloud’s general availability. With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Along with your 1.0

MongoDB 100

MongoDB Scala MySQL Data Lake 100

Data Engineering Podcast

JULY 17, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Data teams are increasingly under pressure to deliver. That’s where our friends at Ascend.io

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Data Engineering Podcast

SEPTEMBER 25, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Data teams are increasingly under pressure to deliver. That’s where our friends at Ascend.io

Food 100

Food MongoDB Scala MySQL 100

Data Engineering Podcast

SEPTEMBER 18, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Data teams are increasingly under pressure to deliver. That’s where our friends at Ascend.io

Hospitality 100

Hospitality Food MongoDB Scala 100

Data Engineering Podcast

OCTOBER 9, 2022

In this episode Purvi Shah, the VP of Enterprise Big Data Platforms at American Express, explains how they have invested in the cloud to power this visibility and the complex suite of integrations they have built and maintained across legacy and modern systems to make it possible. Data teams are increasingly under pressure to deliver.

Food 100

Food MongoDB Scala MySQL 100

Data Engineering Podcast

MAY 29, 2022

In this episode SVP of engineering Shireesh Thota describes the impact on your overall system architecture that Singlestore can have and the benefits of using a cloud-native database engine for your next application. That’s where our friends at Ascend.io Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Architecture 100

Architecture Database Data Architecture PostgreSQL 100

Data Engineering Podcast

JULY 31, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Data teams are increasingly under pressure to deliver. That’s where our friends at Ascend.io

Data Analysis 100

Data Analysis MongoDB Scala Algorithm 100

Data Engineering Podcast

SEPTEMBER 11, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Data stacks are becoming more and more complex. That’s where our friends at Ascend.io

Data Pipeline 130

Data Pipeline Building MongoDB Scala 130

Data Engineering Podcast

JULY 10, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Data teams are increasingly under pressure to deliver. That’s where our friends at Ascend.io

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Data Engineering Podcast

JULY 3, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. That’s where our friends at Ascend.io Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Data Integration 100

Data Integration MongoDB Scala MySQL 100

Data Engineering Podcast

AUGUST 13, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. That’s where our friends at Ascend.io Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Metadata 100

Metadata MongoDB Scala MySQL 100

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 116

Amazon Web Services AWS Government Python 116

Data Engineering Podcast

OCTOBER 2, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Data teams are increasingly under pressure to deliver. That’s where our friends at Ascend.io

IT 100

IT Food PostgreSQL MongoDB 100

Data Engineering Podcast

AUGUST 28, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. That’s where our friends at Ascend.io Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Building 100

Building MongoDB Scala MySQL 100

Data Engineering Podcast

JUNE 5, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. That’s where our friends at Ascend.io Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Data Security 100

Data Security Metadata MongoDB Scala 100

Data Engineering Podcast

JUNE 26, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Data teams are increasingly under pressure to deliver. That’s where our friends at Ascend.io

Data Management 100

Data Management Management MongoDB Scala 100

Data Engineering Podcast

AUGUST 13, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. That’s where our friends at Ascend.io Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Machine Learning 100

Machine Learning Pipeline-centric Database-centric MongoDB 100

Knowledge Hut

MARCH 20, 2024

Average Salary: $126,245 Required skills: Familiarity with Linux-based infrastructure Exceptional command of Java, Perl, Python, and Ruby Setting up and maintaining databases like MySQL and Mongo Roles and responsibilities: Simplifies the procedures used in software development and deployment.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Data Engineering Podcast

SEPTEMBER 4, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. That’s where our friends at Ascend.io Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

MongoDB 100

MongoDB Scala MySQL Data Ingestion 100

Knowledge Hut

MAY 2, 2024

As per Apache, “ Apache Spark is a unified analytics engine for large-scale data processing ” Spark is a cluster computing framework, somewhat similar to MapReduce but has a lot more capabilities, features, speed and provides APIs for developers in many languages like Scala, Python, Java and R.

Scala 52

Scala Hospitality Healthcare Retail 52

Knowledge Hut

JUNE 23, 2023

You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala. You should have the expertise to collect data, conduct research, create models, and identify patterns.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 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

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

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. Cloud computing: For data analysts, familiarity with cloud computing platforms like AWS, Azure, and Google Cloud Platform is crucial.

Programming Language 52

Programming Language Cloud Computing Data Preparation Data Science 52

Knowledge Hut

DECEMBER 26, 2023

According to the Cybercrime Magazine, the global data storage is projected to be 200+ zettabytes (1 zettabyte = 10 12 gigabytes) by 2025, including the data stored on the cloud, personal devices, and public and private IT infrastructures. They need deep expertise in technologies like SQL, Python, Scala, Java, or C++.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

ProjectPro

JANUARY 31, 2023

Map Reduce programs in cloud computing are parallel, making them ideal for executing large-scale data processing across multiple machines in a cluster. It ensures that the data collected from cloud sources or local databases is complete and accurate. Spark provides APIs for the programming languages Java, Scala, and Python.

Big Data 52

Big Data Hadoop AWS Relational Database 52

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. E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server. Hadoop is highly scalable.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

NOVEMBER 14, 2015

These Apache Spark projects are mostly into link prediction, cloud hosting, data analysis, and speech analysis. Cloud Hosting 6.Specialized Data migration from legacy systems to the cloud is a major use case in organizations that have been into relational databases. Cloud deployment saves a lot of time, cost, and resources.

Hadoop 52

Hadoop Project Big Data Healthcare 52