Workfall

JUNE 12, 2023

In this dynamic realm of data engineering, a monumental challenge takes centre stage: efficiently managing the ever-changing tides of real-time data. Data, the lifeblood of organisations, holds the key to unlocking untapped potential and propelling businesses forward. Where Is CDC Used and Who Uses It?

Telecommunication 80

Telecommunication Metadata Healthcare Finance 80

DataKitchen

OCTOBER 20, 2023

In today’s data-driven landscape, Data and Analytics Teams i ncreasingly face a unique set of challenges presented by Demanding Data Consumers who require a personalized level of Data Observability. Data Observability platforms often need to deliver this level of customization.

Insurance 70

Insurance Pharmaceutical Data Data Ingestion 70

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines.

Machine Learning 98

Machine Learning Manufacturing Data Collection Data Science 98

Data Engineering Weekly

JUNE 18, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Data management is critical for any organization to succeed in this AI world.

Data Engineering 52

Data Engineering Data Engineer Engineering MySQL 52

Snowflake

MAY 4, 2023

The market volatility we’ve seen in recent years has only underscored the value of using data to model and analyze market behavior and avoid to manage risk for the Street. The market volatility we’ve seen in recent years has only underscored the value of using data to model and analyze market behavior and avoid to manage risk for the Street.

Portfolio 52

Portfolio Cloud Analytics Application Data Security 52

Towards Data Science

MAY 19, 2023

Data Entropy — More Data, More Problems? How to navigate and embrace complexity in a modern data organisation. Business users are unable to find and access data assets critical to their workflows. Data engineers spend countless hours troubleshooting broken pipelines. The list goes on.

Pipeline-centric 105

Pipeline-centric Data Software Engineer Software Engineering 105

Databand.ai

JULY 6, 2023

7 Data Pipeline Examples: ETL, Data Science, eCommerce, and More Joseph Arnold July 6, 2023 What Are Data Pipelines? Data pipelines are a series of data processing steps that enable the flow and transformation of raw data into valuable insights for businesses.

Data Pipeline 52

Data Pipeline Data Science Raw Data Media 52

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 106

IT Unstructured Data Data Architecture Government 106

Picnic Engineering

JULY 26, 2022

Data Mesh, or Hub-and-Spoke? and other reflections on building data governance. Since the publication of the first blog post in this series, we have received numerous questions via social media, direct messages, public posts, and meet-up discussions. What exactly is a “lakeless” Data Warehouse? Is “lakeless” a thing!? …

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Snowflake

MARCH 21, 2023

In February, Snowflake launched new features around streaming data ingestion and data governance and improved SQL experience and performance, with enhancements to Search Optimization Service and more. Read on to learn about everything new announced in February. Policy references are tracked in the new column, POLICIES_REFERENCED.

Retail 67

Retail Healthcare Data Ingestion Consulting 67

Maxime Beauchemin

JANUARY 7, 2018

Batch data processing  — historically known as ETL —  is extremely challenging. In this post, we’ll explore how applying the functional programming paradigm to data engineering can bring a lot of clarity to the process. It’s time-consuming, brittle, and often unrewarding. Functional programming brings clarity.

Data Engineering 183

Data Engineering Data Engineer Data Process Process 183

Databand.ai

DECEMBER 13, 2022

The Top 25 Data Engineering Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-13 10:23:19 Interested in data engineering? LinkedIn is full of influencers sharing new ideas and sparking conversations on all kinds of topics, and data engineering is no exception. You’ve come to the right place.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

JANUARY 27, 2023

Whether you are a data engineer, BI engineer, data analyst, or an ETL developer, understanding various ETL use cases and applications can help you make the most of your data by unleashing the power and capabilities of ETL in your organization. You have probably heard the saying, "data is the new oil".

BI 52

BI ETL Tools Retail Healthcare 52

Knowledge Hut

DECEMBER 28, 2023

Imagine having a framework capable of handling large amounts of data with reliability, scalability, and cost-effectiveness. In this blog, we'll talk about intriguing and real-time sample Hadoop projects with source codes that can help you take your data analysis to the next level. That's where Hadoop comes into the picture.

Hadoop 52

Hadoop Project Datasets Big Data 52

Maxime Beauchemin

FEBRUARY 28, 2017

Edmiston Introduction Every once in a while I read a post about the future of tech that resonates with clarity. A few weeks ago it was The Rise of the Data Engineer by Maxime Beauchemin, a data engineer at Airbnb and creator of their data pipeline framework, Apache Airflow. We should expect 1.8.0

Data Engineering 130

Data Engineering Data Engineer Engineering Data Pipeline 130

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer is one of the most popular job profiles in the data industry. Read this blog to find out! This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2 billion by 2025.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Cloudera

JUNE 7, 2021

The team’s focus turned to bringing Flink Data Definition Language ( DDL) and the batch interface into SSB with that completed. The team’s focus turned to bringing Flink Data Definition Language ( DDL) and the batch interface into SSB with that completed. But in the trenches, as data practitioners, we wanted more.

SQL 61

SQL Manufacturing Finance Architecture 61

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

Rockset

JANUARY 3, 2023

This blog compiles real-time data predictions from industry leaders so you know what’s coming in 2023. Confluent’s State of Data in Motion Report found that 97% of companies around the world are using streaming data, making it central to the data landscape.

Data Warehouse 52

Data Warehouse Education Database Data 52

Knowledge Hut

JULY 4, 2023

The rising demand for data analysts along with the increasing salary potential of these roles is making this an increasingly attractive field. But which are the highest-paying data analytics jobs available? This blog lists some of the most lucrative positions for aspiring data analysts. What is Data Analytics?

Data Analytics 52

Data Analytics Data Architect Transportation Data Science 52

Databand.ai

DECEMBER 29, 2022

The Top Data Strategy Influencers and Content Creators on LinkedIn Eitan Chazbani 2022-12-29 14:08:41 What’s the latest in the data world? When it comes to LinkedIn (and beyond) here are our recommendations for the top 25 data strategy influencers and content creators to keep tabs on. So who should you be following?

BI 52

BI Consulting Data Science Data Governance 52

Zalando Engineering

JUNE 23, 2021

Further, it creates career opportunities for Engineers, who can quickly switch teams and work on a challenging, high impact project. Further, it creates career opportunities for Engineers, who can quickly switch teams and work on a challenging, high impact project. Such individuals are also essential for continued innovation.

Technology 52

Technology Data Lake PostgreSQL AWS 52

Monte Carlo

AUGUST 31, 2023

Data is a priority for your CEO, as it often is for digital-first companies, and she is fluent in the latest and greatest business intelligence tools. But what happens when the data is wrong? What about a frantic email from your CTO about “duplicate data” in a business intelligence dashboard? The root of data downtime?

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Knowledge Hut

JULY 26, 2023

Database applications have become vital in current business environments because they enable effective data management, integration, privacy, collaboration, analysis, and reporting. Database applications also help in data-driven decision-making by providing data analysis and reporting tools. What are Database Applications?

Database 52

Database NoSQL Telecommunication MongoDB 52

Confluent

MAY 22, 2019

The explosive number of devices generating, tracking and sharing data across a variety of networks is overwhelming to most data management solutions. As IoT projects go from concepts to reality, one of the biggest challenges is how the data created by devices will flow through the system. What role will analytics play in future?

Kafka 97

Kafka Google Cloud NoSQL Entertainment 97

dbt Developer Hub

NOVEMBER 22, 2022

Once your data warehouse is built out, the vast majority of your data will have come from other SaaS tools, internal databases, or customer data platforms (CDPs). But there’s another unsung hero of the analytics engineering toolkit: the humble spreadsheet. Spreadsheets are the Swiss army knife of data processing.

Data Warehouse 52

Data Warehouse ETL Tools Google Cloud Cloud Storage 52

Cloudera

AUGUST 30, 2018

Consider the following practices that, until recently, were relegated to the R&D department: Data-driven decision making – the collection and analysis of data to guide decisions that improve success. Complicating matters is the increasing focus on data protection and the far-reaching implications of IoT (e.g.

Unstructured Data 40

Unstructured Data Machine Learning Data Warehouse BI 40

Picnic Engineering

MARCH 14, 2023

In our previous part of this blog series we have talked about the challenges we faced developing our very first Warehouse Control System (WCS). First, we will explain the basics of automated warehousing and simulation. Here, thousands of orders are assembled every day, to be delivered hours later by our fleet of electric vehicles.

Python 59

Python Transportation Systems Algorithm 59

ProjectPro

DECEMBER 10, 2021

This blog covers the top 50 most frequently asked Azure interview questions and answers. Moreover, the average pay for an Azure engineer in the United States is $107,849 per year, whereas the average annual compensation for Azure engineers in India is ₹6,10,298 Are these reasons compelling enough to persuade you to seek a career in Azure??

BI 52

BI Cloud Computing SQL Database 52

Rockset

NOVEMBER 9, 2021

There are multiple change data capture methods available when using a MySQL or Postgres database. This post assumes you are familiar with change data capture, if not read the previous introductory post here “ Change Data Capture: What It Is and How To Use It.” To simplify this process we can use Kafka Connect.

MySQL 52

MySQL Kafka AWS Database 52

DareData

JULY 29, 2020

The Challenges of Medical Data In recent times, there have been several developments in applications of machine learning to the medical industry. Odds are that your local hospital, pharmacy or medical institution's definition of being data-driven is keeping files in labelled file cabinets, as opposed to one single drawer.

Healthcare 52

Healthcare Data Pipeline Medical Pipeline-centric 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.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

DECEMBER 5, 2023

These are targeted and meant for us, the end consumers. Business organizations are involved in various activities like procurement , production, logistics, etc., to develop their products. But how do these products reach us physically, or how do customers get to know about the products produced? This is achieved by means of marketing.

Media 52

Media Manufacturing Utilities Retail 52

Picnic Engineering

SEPTEMBER 8, 2022

Quick re-cap: the purpose of the internal pipeline is to deliver data from dozens of Picnic back-end services such as warehousing, machine learning models, customers and order status updates. The data is loaded into Snowflake, Picnic’s single source of truth Data Warehouse (DWH).

Kafka 52

Kafka Metadata AWS Java 52

ProjectPro

NOVEMBER 15, 2021

The adaptability and technical superiority of such open-source big data projects make them stand out for community use. Furthermore, excellent open-source contributions can elevate your portfolio and resume to the next level, empowering you to pursue new and promising career avenues in the future.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

OCTOBER 27, 2021

This blog presents the topmost useful machine learning applications in finance to help you understand how financial markets thrive by adopting AI and ML solutions. The huge volumes of financial data have helped the finance industry streamline processes, reduce investment risks, and optimize investment portfolios for clients and companies.

Finance 52

Finance Machine Learning Project Banking 52

Rockset

OCTOBER 1, 2020

This is why a real-time Customer 360 profile is more useful than a batch, data warehouse generated profile, as I want to keep the latency low, which isn’t feasible with a traditional data warehouse. The goal is to take data from all the disparate services that the customer interacts with, concerning a product or service.

MongoDB 40

MongoDB Kafka Building Data Warehouse 40