Databand.ai

JUNE 28, 2023

Data Pipeline Observability: A Model For Data Engineers Eitan Chazbani June 29, 2023 Data pipeline observability is your ability to monitor and understand the state of a data pipeline at any time. We believe the world’s data pipelines need better data observability. To measure, but not track.

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Data Pipeline Data Engineering Data Engineer Engineering 98

Data Engineering Weekly

DECEMBER 21, 2022

We went through a full cycle that “schema-on-read ” led to the infamous GIGO (Garbage In, Garbage Out) problem in data lakes, as noted in this What Happened To Hadoop retrospect. The Data world Before Hadoop Era We must walk through memory lane to understand why functional data engineering is critical.

Data Engineering 57

Data Engineering Data Engineer Engineering Hadoop 57

Knowledge Hut

MARCH 28, 2024

Data engineering is one of them. According to AnalytixLabs , the data science market is expected to be worth USD 230.80 All these numbers point to one thing–increased job roles and careers, especially when we talk about data engineering jobs in Azure, which are on the rise every year. Let’s get started.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

DataKitchen

DECEMBER 9, 2022

DataOps involves collaboration between data engineers, data scientists, and IT operations teams to create a more efficient and effective data pipeline, from the collection of raw data to the delivery of insights and results. Query> An AI, Chat GPT wrote this blog post, why should I read it? .

Machine Learning 52

Machine Learning Data Preparation Government Data Analytics 52

Knowledge Hut

NOVEMBER 17, 2023

Azure Data Engineers play an important role in building efficient, secure, and intelligent data solutions on Microsoft Azure's powerful platform. The position of Azure Data Engineers is becoming increasingly important as businesses attempt to use the power of data for strategic decision-making and innovation.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

SEPTEMBER 29, 2023

This growth is creating a strong demand for data experts, especially Azure data engineers. But who are Azure data engineers, and what do they do? Moreover, what benefits can you expect from a career in Azure Data Engineering? Why Should You Get an Azure Data Engineer Certification?

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Certification Data Engineering Data Engineer Engineering 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! What are Data Engineering Tools?

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Data Engineering Data Engineer Engineering Google Cloud 52

ProjectPro

FEBRUARY 16, 2023

The demand for skilled data engineers who can build, maintain, and optimize large data infrastructures does not seem to slow down any sooner. At the heart of these data engineering skills lies SQL that helps data engineers manage and manipulate large amounts of data. use SQL, compared to 61.7%

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Data Engineering Data Engineer SQL Engineering 52

Knowledge Hut

SEPTEMBER 26, 2023

The demand for knowledgeable data engineers that can plan, create, and maintain sophisticated data infrastructure is growing as the amount of data created by enterprises continues to increase dramatically. The success of our career as an Azure Data Engineer depends on our ability to master several different talents.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Engineering Weekly

NOVEMBER 6, 2022

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. I plan to write a series of blogs on Schemata and Data Contract in the coming weeks.

Data Engineering 40

Data Engineering Data Engineer Engineering Machine Learning 40

Maxime Beauchemin

JANUARY 20, 2017

I joined Facebook in 2011 as a business intelligence engineer. By the time I left in 2013, I was a data engineer. We were data engineers! Data Engineering? Data science as a discipline was going through its adolescence of self-affirming and defining itself. We were pioneers.

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Data Engineering Data Engineer Engineering ETL Tools 130

ProjectPro

FEBRUARY 21, 2023

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! AWS or Azure?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

FreshBI

JANUARY 31, 2022

The objective of this blog Building reliable intelligence at the speed of business can be a challenging task. A well-designed data engineering strategy ensures that your analytics resources are spent on uncovering insights rather than laying foundations.

BI 52

BI Data Engineering Data Engineer Engineering 52

Edureka

FEBRUARY 12, 2023

The demand for DevOps engineers is on the rise, and it is a lucrative and exciting career option for those who have a passion for technology and are interested in working in a fast-paced, dynamic environment. Learning Python can be very beneficial for a DevOps Engineer as it is commonly used for automation and scripting tasks.

Amazon Web Services 52

Amazon Web Services Engineering Programming Language Google Cloud 52

Cloudera

AUGUST 20, 2020

This blog illustrates how Cloudera Data Engineering (CDE), using Apache Spark , can be used to produce reports based on the PPP data while addressing each of the challenges outlined above. A mock scenario for the Texas Legislative Budget Board (LBB) is set up below to help a data engineer manage and analyze the PPP data.

Programming 62

Programming Data Engineering Data Engineer Engineering 62

Knowledge Hut

APRIL 25, 2024

It is especially true in the world of big data. If you want to stay ahead of the curve, you need to be aware of the top big data technologies that will be popular in 2024. In this blog post, we will discuss such technologies. Big data is a term that refers to the massive volume of data that organizations generate every day.

Big Data 98

Big Data Technology NoSQL Hadoop 98

Cloudera

JANUARY 19, 2018

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. From its origins in the 1950’s to today, the age of big data. Sean ascertains that larger data sets and increased access to compute power is propelling the adoption of machine learning. This blog has everything!

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Insurance Machine Learning Data Science Big Data 45

Cloudera

MARCH 2, 2023

Recently, we announced enhanced multi-function analytics support in Cloudera Data Platform (CDP) with Apache Iceberg. Iceberg is a high-performance open table format for huge analytic data sets. We will explore how to create catalogs and tables and show examples of how to write and read data from these Iceberg tables.

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Process SQL Kafka Database 112

Cloudyard

APRIL 4, 2024

Read Time: 2 Minute, 13 Second Consider a scenario, you are part of data engineering team at a retail company. However, the volume of daily transaction data poses challenges in effectively segmenting customers and optimizing engagement. Traditional segmentation methods fall short in scalability and real-time insights.

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Retail Data Ingestion Metadata Datasets 40

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. vs. What does a Data Engineer do? Are you a Data Scientist or a Data Engineer? Is data engineering more important than data science?

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Data Engineering Data Engineer Engineering Amazon Web Services 52

Netflix Tech

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty This blog post will cover how Psyberg helps automate the end-to-end catchup of different pipelines, including dimension tables. In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing.

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Metadata Data Pipeline Scala Data Workflow 97

DoorDash Engineering

APRIL 26, 2023

The company is exploring the use of Generative AI, a subset of Artificial Intelligence that generates novel content based on existing data, and how it can be implemented effectively with consideration for the privacy and security of personal information. This reduces manual effort and improves the accuracy and speed of data processing.

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Food Unstructured Data Deep Learning SQL 98

Databand.ai

AUGUST 30, 2023

The core philosophy of DataOps is to treat data as a valuable asset that must be managed and processed efficiently. It emphasizes the importance of collaboration between different teams, such as data engineers, data scientists, and business analysts, to ensure that everyone has access to the right data at the right time.

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Data Governance Data Pipeline Government Data Cleanse 52

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

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Workfall

JULY 4, 2023

Reading Time: 8 minutes In the world of data engineering, a mighty tool called DBT (Data Build Tool) comes to the rescue of modern data workflows. Imagine a team of skilled data engineers on an exciting quest to transform raw data into a treasure trove of insights.

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Data Warehouse SQL PostgreSQL Database 69

DataKitchen

AUGUST 9, 2021

Unlike generic orchestration tools, DataKitchen Platform orchestration connects to the existing ecosystem of data analytics, data science and data engineering tools. It can orchestrate a hierarchy of directed acyclic graphs ( DAGS ) that span domains and integrates testing at each step of processing.

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Pharmaceutical Raw Data Data Lake Data 98

Cloudera

JUNE 26, 2023

Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models.

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ETL Tools Programming Language Datasets Data Pipeline 75

Cloudera

JULY 21, 2021

OVO stood out to last year’s judges as the project continually delivers benefits to Indonesia’s 270-million strong population, many of whom do not have access to modern financial services such as investment, lending and insurance. OVO – 2020’s Data Champion award winner . All with an emphasis on user convenience and affordability.

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Insurance Hospitality Banking Data 92

Databand.ai

JULY 5, 2023

What Are Data Observability Tools? Data observability tools are software solutions that oversee, analyze, and improve the performance of data pipelines. These tools offer data engineers insight into the health of their data infrastructure, by giving visibility into crucial metrics like latency, throughput, and error rates.

Data Pipeline 52

Data Pipeline Data Lake Data Warehouse Datasets 52

Workfall

JULY 18, 2023

With DBT’s materializations, our data transformations underwent a magical transformation themselves. In this blog, we’ll whisk you away on an enchanting journey through DBT materializations. So grab your wands (or keyboards), and let’s cast a spell of mastery over data transformations like never before.

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Datasets Entertainment Data Workflow Data 77

ProjectPro

JULY 12, 2021

You can consider many other high-paying career options as a data enthusiast. This blog will take you through a relatively new career title in the data industry — AI Engineer. Table of Contents Why do you need to become an AI Engineer: Are AI Engineers in Demand? What is an AI Engineer?

Engineering 40

Engineering Deep Learning Software Engineer Software Engineering 40

Knowledge Hut

JUNE 30, 2023

For instance, obtaining a Google Cloud Professional DevOps Engineer certification is the best approach to learning about GCP for DevOps and demonstrating your expertise. The best certification to pursue novices is Google Cloud Engineer - Associate. You may get access to the newest technologies and platforms by using Google Cloud.

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Google Cloud Cloud Cloud Computing Certification 52

Monte Carlo

DECEMBER 22, 2023

So, as the year comes to a close, we rounded up our top 5 blogs about generative AI in 2023, to help you catch up before we venture into the AI madness of 2024 These 5 articles aim to give some clarity on the current state of generative AI, how to define use-cases and build for value, and finally, what’s coming next for data and AI teams.

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High Quality Data Data Science Data Engineering Data Engineer 52

Monte Carlo

DECEMBER 22, 2023

So, as the year comes to a close, we rounded up our top 5 blogs about generative AI in 2023, to help you catch up before we venture into the AI madness of 2024 These 5 articles aim to give some clarity on the current state of generative AI, how to define use-cases and build for value, and finally, what’s coming next for data and AI teams.

High Quality Data 52

High Quality Data Data Science Data Engineering Data Engineer 52

Knowledge Hut

DECEMBER 28, 2023

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. Competitive Advantage: Utilizing Hadoop projects can give organizations a competitive edge through data-driven insights.

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Hadoop Project Datasets Big Data 52

Databand.ai

JULY 19, 2023

This capability is particularly useful in complex data landscapes, where data may pass through multiple systems and transformations before reaching its final destination Impact analysis: When changes are made to data sources or data processing systems, it’s critical to understand the potential impact on downstream processes and reports.

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Pipeline-centric Data Governance Metadata Government 52

AltexSoft

FEBRUARY 11, 2023

What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority. This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Let’s discuss and compare them to avoid misconceptions.

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Data Architect Certification Generalist Big Data 87