Data Engineering Podcast

MARCH 15, 2021

Summary The team at DoorDash has a complex set of optimization challenges to deal with using data that they collect from a multi-sided marketplace. This is a valuable look at how to manage a large and growing data platform with that supports a variety of teams with varied and evolving needs.

Management 100

Management Data Warehouse PostgreSQL Kafka 100

Data Engineering Podcast

MARCH 22, 2021

For analytical systems, the only way to provide this reliably is by implementing change data capture (CDC). Unfortunately, this is a non-trivial undertaking, particularly for teams that don’t have extensive experience working with streaming data and complex distributed systems.

Data Warehouse 100

Data Warehouse Metadata Data Lake Hadoop 100

Knowledge Hut

JUNE 26, 2023

Welcome to the world of data engineering, where the power of big data unfolds. If you're aspiring to be a data engineer and seeking to showcase your skills or gain hands-on experience, you've landed in the right spot. Therefore, the greatest thing you can do as a novice is to work on some real-time data engineering initiatives.

Data Engineering 88

Data Engineering Data Engineer Coding Project 88

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Monte Carlo

JULY 27, 2023

These specialists are also commonly referred to as data reliability engineers. To be successful in their role, data quality engineers will need to gather data quality requirements (mentioned in 65% of job postings) from relevant stakeholders. This is critical because data curation is costly and data quality is subjective.

Engineering 52

Engineering Healthcare Scala Data Warehouse 52

ProjectPro

JANUARY 24, 2023

A survey by O’Reilly in 2020 found that Amazon Sagemaker is the second most used machine learning platform after Tensorflow. One interesting example of Amazon SageMaker's production-level use is by the company DeepVision. One interesting example of Amazon SageMaker's production-level use is by the company DeepVision.

Building 52

Building Algorithm Machine Learning AWS 52

Knowledge Hut

JUNE 30, 2023

The demand for experienced data engineers continuously expands in today's data-driven environment. Books on data engineering serve as essential resources to guide you through the vast terrain of data engineering. What is Data Engineering? Who are Data Engineers? Who are Data Engineers?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

AUGUST 24, 2021

Most of us have observed that data scientist is usually labeled the hottest job of the 21st century, but is it the only most desirable job? For beginners or peeps who are utterly new to the data industry, Data Scientist is likely to be the first job title they come across, and the perks of being one usually make them go crazy.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JULY 23, 2021

AWS (Amazon Web Services) is the world’s leading and widely used cloud platform, with over 200 fully featured services available from data centers worldwide. This blog presents some of the most unique and innovative AWS projects from beginner to advanced levels. Table of Contents What is AWS?

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

Workfall

AUGUST 29, 2023

Learn how to build your very own Amazon Price Tracker using Python. In this blog, we will cover: About Python About Amazon About BeautifulSoup Library Hands-On Conclusion About Python Python is a high-level, interpreted, and versatile programming language known for its simplicity and readability.

Python 93

Python Pipeline-centric Programming Language Coding 93

ProjectPro

FEBRUARY 21, 2023

AWS or Azure? With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? The answer is- by earning professional data engineering certifications!

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 19, 2022

Data Engineering is gradually becoming a popular career option for young enthusiasts. Explore this page further and learn everything about data engineers to find the answer. We will cover it all, from its definition, skills, responsibilities to the significance of data engineer in an institution. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

APRIL 25, 2023

The tremendous growth in data generation, then the rise in data engineer jobs - there’s no arguing the fact that the big data industry is at its best pace and you, as an aspiring data engineer, have a lot to learn and make out of it - including some tools! While they go about it - enter big data data engineer tools.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

AltexSoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What is a data architect?

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

SEPTEMBER 6, 2023

Nowadays, I often hear people saying they aspire to become data scientists or they want to work with data, but they don’t know the path to do so. I myself have faced this problem and data science certifications come as a rescue for this problem. What is Data Science Certification?

Data Science 71

Data Science Certification Business Analyst Machine Learning 71

Rockset

NOVEMBER 4, 2021

Apache Spark is an open-source project that was started at UC Berkeley AMPLab. It has an in-memory computing framework that allows it to process data workloads in batch and in real-time. Even though Spark is written in Scala, you can interact with Spark with multiple languages like Spark, Python, and Java.

Scala 52

Scala Java AWS Hadoop 52

Monte Carlo

AUGUST 19, 2023

A data platform, often referred to as a ‘modern data stack,’ is the central processing hub for an organization’s data ecosystem. A comprehensive data platform solution powers data acquisition, storage, preparation, delivery, governance, and even the robust security needs of users and applications.

Building 52

Building BI Data Lake Data Governance 52

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! “Data analytics is the future, and the future is NOW!

Big Data 52

Big Data Hadoop AWS Relational Database 52

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 7, 2023

Once upon a time, Data Science was something that was restricted only to the tech giants, but in this fast-growing world, it is slowly becoming an integral part of businesses as big companies start to integrate these techniques into their business models. What is a Data Science Platform? They are: 1.

Data Science 52

Data Science Google Cloud Programming Language AWS 52

ProjectPro

SEPTEMBER 16, 2021

87% of Data Science Projects never make it to production - VentureBeat According to an analytics firm, Cognilytica, the MLOps market is anticipated to be worth $4 billion by end of 2025. Jobs over the next decade will be built on top of Data Science, but for production. Table of Contents What is MLOps ?

Project 52

Project Amazon Web Services Machine Learning Data Science 52

Knowledge Hut

SEPTEMBER 6, 2023

It is a well-known fact that we inhabit a data-rich world. Businesses are generating, capturing, and storing vast amounts of data at an enormous scale. This influx of data is handled by robust big data systems which are capable of processing, storing, and querying data at scale. What is Big Data Certification?

Big Data 52

Big Data Certification Hadoop Scala 52

ProjectPro

JANUARY 19, 2022

Planning to land a successful job as an Azure Data Engineer? Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer. Table of Contents Who is an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Snowflake

JUNE 27, 2023

The world is undergoing a remarkable transformation fueled by data. Organizations have accumulated silos across their data infrastructure to support various workloads, languages, tools, and formats because of technology limitations. We’re going to summarize these new capabilities in this blog post.

Data Governance 54

Data Governance Unstructured Data Government SQL 54

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. Table of Contents What is a Big Data Project?

Big Data 52

Big Data Coding Project Hadoop 52

Silectis

MARCH 9, 2021

The importance of data engineering is on the rise, with organizations increasingly investing in talent and infrastructure. I caught up with a few members of the team to take note of some of the data engineering trends we anticipate seeing more of this year and beyond. – Matt Boegner , Data Architect at Silectis 2.

Data Engineering 52

Data Engineering Data Engineer Engineering ETL Tools 52

phData: Data Engineering

JANUARY 3, 2022

DataOps: What Is It, Core Principles, and Tools For Implementation Nick Goble January 3, 2022 When building a successful company, it’s critical to have a strategy around how you build and scale your business from a technology and data perspective. Table of Contents How Impactful is Your Data? What’s Data Strategy? No problem!

IT 52

IT AWS Software Engineer Software Engineering 52

ProjectPro

SEPTEMBER 6, 2021

Are you confused about choosing the best cloud platform for your next data engineering project ? AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud? Let’s get started!

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

ProjectPro

AUGUST 11, 2021

“Data Lake vs Data Warehouse = Load First, Think Later vs Think First, Load Later” The terms data lake and data warehouse are frequently stumbled upon when it comes to storing large volumes of data. Data Warehouse Architecture What is a Data lake? Is Hadoop a data lake or data warehouse?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

OCTOBER 20, 2021

With so many pseudo-data scientists cropping up due to numerous data science bootcamps and courses that offer theoretical learning, the interview questions for AI and machine learning jobs are getting streamlined to filter those who understand how real-world implementation works. The following diagram explains Auto ML.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

JULY 12, 2021

The demand for data-related roles has increased massively in the past few years. Companies are actively seeking talent in these areas, and there is a huge market for individuals who can manipulate data, work with large databases and build machine learning algorithms. The role of an AI engineer is relatively new in the data industry.

Engineering 40

Engineering Deep Learning Software Engineer Software Engineering 40

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

NOVEMBER 14, 2015

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. Data Migration 2.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

JUNE 13, 2018

AWS certifications are the most in-demand cloud computing certifications in the IT industry today, with an overwhelming growth in cloud computing. So, for those looking for a career in Amazon Web Services, this blog lists the best AWS certifications available today, including the cost, duration, and topics covered in each certification exam.

AWS 52

AWS Certification Amazon Web Services Cloud Computing 52

ProjectPro

JUNE 29, 2021

Let us now dive directly into the Apache Kafka interview questions and answers and help you get started with your Big Data interview preparation! What is Kafka used for? In that case, this blog on the most popular 100+ Apache Kafka interview questions and answers will help you nail your next big data job interview.

Kafka 40

Kafka Bytes Big Data Java 40

Netflix Tech

APRIL 29, 2019

By Pythonistas at Netflix, coordinated by Amjith Ramanujam and edited by Ellen Livengood As many of us prepare to go to PyCon, we wanted to share a sampling of how Python is used at Netflix. We use and contribute to many open-source Python packages, some of which are mentioned below. are you logged in?

Python 111

Python Amazon Web Services Machine Learning Algorithm 111

DataKitchen

OCTOBER 11, 2021

A DataOps implementation project consists of three steps. First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. The final step is designing a data solution and its implementation. A DataOps project begins with a list of challenges.

Engineering 62

Engineering BI Business Analyst Metadata 62