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?

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

OCTOBER 3, 2023

Within the Microsoft Azure ecosystem, the role of an Azure data engineer stands out as one of the most sought-after positions. What Does an Azure Data Engineer Do? Azure Data engineers collaborate with Azure AI services built on top of Azure Cognitive Services APIs to offer end customers a variety of pre-built models.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Knowledge Hut

JUNE 20, 2023

Let's find out the differences between a data scientist and a machine learning engineer below to make an informative decision. Data Engineer vs Machine Learning Engineer While there are similarities between a data engineer and a machine learning engineer, both play a key role in the technological world.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Data Engineering Podcast

MAY 27, 2018

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode. What is Alooma and what is the origin story? How is the Alooma platform architected?

Data Pipeline 100

Data Pipeline MongoDB Scala Google Cloud 100

Knowledge Hut

DECEMBER 28, 2023

Its comprehensive suite of services can handle data at scale. It’s no surprise that the demand for certified Azure data engineers has skyrocketed. Today, Azure Data Engineer certification is an invaluable asset for those looking to excel in the field of data engineering. Who is an Azure Data Engineer?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Big Data Tools

MAY 19, 2022

I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. News A lot of engineering is about learning new things and keeping a finger on the pulse of new technologies. Here’s what’s happening in the world of data engineering right now.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

MAY 19, 2022

I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. News A lot of engineering is about learning new things and keeping a finger on the pulse of new technologies. Here’s what’s happening in the world of data engineering right now.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

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

Big Data Tools

AUGUST 3, 2021

August is a good time to start new things – some people are on vacation and have more spare time to read than usual, while others are back and looking for a quick refresher on what’s new in data engineering. Without further ado, let’s get started with this inaugural issue of Data Engineering Annotated!

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

AUGUST 3, 2021

August is a good time to start new things – some people are on vacation and have more spare time to read than usual, while others are back and looking for a quick refresher on what’s new in data engineering. Without further ado, let’s get started with this inaugural issue of Data Engineering Annotated!

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Silectis

DECEMBER 15, 2020

If you’ve been following along with Silectis over the past couple of years, you are familiar with our data engineering platform, Magpie. You’re aware of the many outcomes it puts at the fingertips of data engineers, and teams of data practitioners more largely. If you’re new around here, not to worry. Or your team?

Data Engineering 52

Data Engineering Data Engineer Engineering ETL Tools 52

Data Engineering Podcast

NOVEMBER 6, 2022

Summary Despite the best efforts of data engineers, data is as messy as the real world. Entity resolution and fuzzy matching are powerful utilities for cleaning up data from disconnected sources, but it has typically required custom development and training machine learning models. Who is the target audience for Zingg?

MongoDB 130

MongoDB Scala MySQL Data Lake 130

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

Knowledge Hut

MAY 4, 2023

Data engineering is a prominent yet emerging technological field that is currently enjoying high demand. Salaries for data engineers vary across the globe, depending on various factors such as location, experience, skills and Data Engineer training and certifications taken by the professionals.

Data Engineering 52

Data Engineering Data Engineer Engineering Banking 52

Cloud Academy

JANUARY 27, 2022

Data engineering is the process of designing and implementing solutions to collect, store, and analyze large amounts of data. The data then gets prepared in formats to be used by people such as business analysts, data analysts, and data scientists. What does a data engineer do?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

FEBRUARY 27, 2023

A data engineer is a key member of an enterprise data analytics team and is responsible for handling, leading, optimizing, evaluating, and monitoring the acquisition, storage, and distribution of data across the enterprise. Data Engineers indulge in the whole data process, from data management to analysis.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Netflix Tech

NOVEMBER 14, 2023

Now, let’s explore the state of our pipelines after incorporating Psyberg. Pipelines After Psyberg Let’s explore how different modes of Psyberg could help with a multistep data pipeline. This is compatible with both Python and Scala Spark. This data pipeline monitors the various stages in the customer lifecycle.

Metadata 97

Metadata Data Pipeline Scala Data Workflow 97

Knowledge Hut

DECEMBER 26, 2023

Some of the best books that will guide you in Scala are:- Scala Cookbook: Recipes for Object-Oriented and Functional Programming (Author: Alvin Alexander) Scala for the Impatient (Author: Cay S. Horstmann) Programming Scala: Scalability = Functional Programming + Objects (Author: Alex Payne and Dean Wampler) 2.

Data Science 52

Data Science Scala Programming Language R (Programming) 52

Data Engineering Podcast

AUGUST 21, 2022

In this episode Shruti Bhat gives her view on the state of the ecosystem for real-time data and the work that she and her team at Rockset is doing to make it easier for engineers to build those experiences. Data stacks are becoming more and more complex. Data stacks are becoming more and more complex.

Lambda Architecture 100

Lambda Architecture MongoDB Scala MySQL 100

Data Engineering Podcast

OCTOBER 30, 2022

Summary One of the most impactful technologies for data analytics in recent years has been dbt. It’s hard to have a conversation about data engineering or analysis without mentioning it. Despite its widespread adoption there are still rough edges in its workflow that cause friction for data analysts.

Engineering 100

Engineering 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. This has eliminated any additional cost or dependency on external orchestrators.

Amazon Web Services 119

Amazon Web Services AWS Government Python 119

Data Engineering Podcast

JULY 3, 2022

Summary The perennial challenge of data engineers is ensuring that information is integrated reliably. In order to quickly identify if and how two data systems are out of sync Gleb Mezhanskiy and Simon Eskildsen partnered to create the open source data-diff utility.

Data Integration 100

Data Integration MongoDB Scala MySQL 100

Data Engineering Podcast

NOVEMBER 13, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

MongoDB 100

MongoDB Scala MySQL Google Cloud 100

Data Engineering Podcast

AUGUST 13, 2022

In this episode Shinji Kim discusses the challenges of data discovery and how to collect and preserve additional context about each piece of information so that you can find what you need when you don’t even know what you’re looking for yet. Data stacks are becoming more and more complex.

Metadata 100

Metadata MongoDB Scala MySQL 100

Data Engineering Podcast

AUGUST 28, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Building 100

Building MongoDB Scala MySQL 100

Ascend.io

SEPTEMBER 5, 2023

Snowpark is a library equipped with an API that developers can use for querying and processing data within the Snowflake Data Cloud. In its early days, Snowflake operated as a pure SQL-based engine, requiring external data extraction for processing in other languages.

IT 59

IT Scala Java Programming Language 59

Data Engineering Podcast

AUGUST 13, 2022

Summary Data engineers have typically left the process of data labeling to data scientists or other roles because of its nature as a manual and process heavy undertaking, focusing instead on building automation and repeatable systems. Data stacks are becoming more and more complex.

Machine Learning 100

Machine Learning Pipeline-centric Database-centric MongoDB 100

ProjectPro

JANUARY 24, 2023

A survey by Data Warehousing Institute TDWI found that AWS Glue and Azure Data Factory are the most popular cloud ETL tools with 69% and 67% of the survey respondents mentioning that they have been using them. Azure Data Factory and AWS Glue are powerful tools for data engineers who want to perform ETL on Big Data in the Cloud.

AWS 52

AWS Cloud Amazon Web Services ETL Tools 52

Snowflake

JULY 10, 2023

With this new Snowpark capability, data engineers and data scientists can process any type of file directly in Snowflake, regardless if files are stored in Snowflake-managed storage or externally. Mike Tuck, Air Pollution Specialist Why unstructured data? You don’t need to statically declare the file reference upfront.

Unstructured Data 40

Unstructured Data Python Process Scala 40

Data Engineering Podcast

AUGUST 6, 2022

In this episode Frank Liu explains how the open source Milvus vector database is implemented to speed up machine learning development cycles, how to think about proper storage and scaling of these vectors, and how data engineering and machine learning teams can collaborate on the creation and maintenance of these data sets.

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Data Engineering Podcast

JUNE 26, 2022

Summary The most complicated part of data engineering is the effort involved in making the raw data fit into the narrative of the business. Your newly mimicked datasets are safe to share with developers, QA, data scientists—heck, even distributed teams around the world.

Data Management 100

Data Management Management MongoDB Scala 100

Data Engineering Podcast

JUNE 5, 2022

In this episode Sean Falconer explains the idea of a data privacy vault and how this new architectural element can drastically reduce the potential for making a mistake with how you manage regulated or personally identifiable information. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Data Security 100

Data Security Metadata MongoDB Scala 100

Data Engineering Podcast

SEPTEMBER 4, 2022

In this episode Gopal Erinjippurath discusses the data engineering challenges of building and serving those data sets, and how they are distilling complex climate information into consumable facts so you don’t have to be an expert to understand it. Data stacks are becoming more and more complex.

MongoDB 100

MongoDB Scala MySQL Data Ingestion 100

ProjectPro

AUGUST 9, 2022

With over 8 million downloads, 20000 contributors, and 13000 stars, Apache Airflow is an open-source data processing solution for dynamically creating, scheduling, and managing complex data engineering pipelines. use Airflow to run their data pipelines efficiently. What is Apache Airflow Used For?

Scala 52

Scala Banking Hadoop Machine Learning 52

AltexSoft

FEBRUARY 11, 2023

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. What is the main difference between a data architect and a data engineer? By the way, we have a video dedicated to the data engineering working principles.

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

FEBRUARY 21, 2023

They must also understand how to build a data processing pipeline that can support the five Vs of big data- volume, velocity, variety, veracity, and value- as well as how to transform this data into maintainable code. Python, Java, and Scala knowledge are essential for Apache Spark developers.

Scala 52

Scala Programming Language Java Hadoop 52