Monte Carlo

FEBRUARY 26, 2024

A data catalog is a constantly updated inventory of the universe of data assets within an organization. It uses metadata to create a picture of the data, as well as the relationships between data assets of diverse sources, and the processing that takes place as data moves through systems.

Metadata 52

Metadata Government Data Data Governance 52

Knowledge Hut

JANUARY 12, 2024

Containerization enables tremendous economies of scale and has made development scalable while remaining user-friendly. Docker is a tool that enables developers, system administrators, and others to easily deploy their applications in a sandbox (referred to as containers) to run on the host operating system. What Is Docker?

Systems 67

Systems MySQL Architecture Certification 67

Ascend.io

MAY 16, 2023

This is the transcript for this seminal conversation of how a global media company is evolving its data strategy toward a working data mesh. The webinar was held in March 2022, as a conversation between Simon Smith, Chief Data Officer at News Corp. He is two years into implementing a major data transformation across the company.

Big Data 52

Big Data Data Architecture Datasets 52

Netflix Tech

FEBRUARY 9, 2022

any business logic code in a raw (e.g. JAR) form to be executed as part of the user defined data pipeline. data pipeline ?—?a DAG) for the purpose of transforming data using some business logic. Netflix homegrown CLI tool for data pipeline management. Netflix homegrown CLI tool for data pipeline management.

Data Pipeline 80

Data Pipeline Management Scala Python 80

Data Engineering Podcast

JANUARY 28, 2018

Summary Sharing data across multiple computers, particularly when it is large and changing, is a difficult problem to solve. In order to provide a simpler way to distribute and version data sets among collaborators the Dat Project was created. Enterprise add-ons and professional support are available for added peace of mind.

Data 100

Data Project Electronics Data Management 100

Monte Carlo

NOVEMBER 21, 2022

What’s next for the future of data engineering? Each year, we chat with one of our industry’s pioneering leaders about their predictions for the modern data stack – and share a few of our own. Pro-tip: be sure to check out his talk from IMPACT: The Data Observability Summit.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

AltexSoft

NOVEMBER 23, 2021

Nowadays, all organizations need real-time data to make instant business decisions and bring value to their customers faster. But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. What is data virtualization?

Process 69

Process Data Lake Metadata Data Warehouse 69

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

Ascend.io

MARCH 17, 2023

Theoretically, data and analytics should be the backbones of decision-making in business. Like mitochondria power a cell, data powers a business. Today, there are no intelligent systems that deliver data at the pace, and with the impact, leaders need to power the business. But for most companies, that’s not the reality.

Data Pipeline 52

Data Pipeline Datasets Data Software Engineer 52

Ascend.io

MARCH 17, 2023

Theoretically, data and analytics should be the backbones of decision-making in business. Like mitochondria power a cell, data powers a business. Today, there are no intelligent systems that deliver data at the pace, and with the impact, leaders need to power the business. But for most companies, that’s not the reality.

Data Pipeline 52

Data Pipeline Datasets Data Software Engineer 52

Knowledge Hut

OCTOBER 13, 2023

They are commonly used in areas like code scaffolding, ORM (Object-Relational Mapping), and data serialization. They facilitate data flow, streamline processes, and enable collaboration among teams and systems, contributing to successful Agile transformation and software delivery. E.g.: Robocop, PHP Stan.

Engineering 52

Engineering Software Engineer Software Engineering Coding 52

Monte Carlo

MAY 13, 2021

Your CTO is all in on this “modern data stack,” or as she calls it: “ The Enterprise Data Discovery.” But as any data engineer will tell you, not even the best tools will save you from broken pipelines. Your team just migrated to Snowflake. The good news?

SQL 40

SQL Metadata Bytes Data Pipeline 40

Zalando Engineering

SEPTEMBER 8, 2021

This architecture has proven to be very flexible, and project Mosaic has extended it – although partially – to the frontend, allowing HTML fragments from multiple services to be stitched together, and served as a single page. Declarative data dependencies - Components get the data they need but do not re-implement data fetching over and over.

Engineering 52

Engineering Computer Science Data Schemas Coding 52

Edureka

JANUARY 12, 2024

Bureau of Labor Statistics projects that by 2024, there will be approximately 853,000 jobs available for these professionals, up from 135,000 today. Full-stack development builds web applications from the ground up, handling both the user-facing side (front-end) and the internal workings (back-end). What is full stack development?

NoSQL 52

NoSQL Java MongoDB Programming 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

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. Why is Data Engineering In Demand?

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Confluent

SEPTEMBER 20, 2019

As a distributed system for collecting, storing, and processing data at scale, Apache Kafka ® comes with its own deployment complexities. How to differentiate a managed service from a purely hosted solution and also differentiate between a fully managed service and a partially managed service.

Kafka 21

Kafka Management Cloud AWS 21