Data Engineering Weekly

JUNE 4, 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. Sign up free to test out the tool today. Perhaps unit test the pipeline?

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 52

Rockset

NOVEMBER 19, 2020

It is particularly well-suited for serving the real-time analytical queries that power apps, such as personalization or recommendation engines, location search, and so on. Challenges with Semi-Structured Data Interrogating underlying data to frame questions about it is rather challenging if you don't understand the shape of the data.

Structured Data 40

Structured Data SQL NoSQL Raw Data 40

Monte Carlo

FEBRUARY 27, 2024

If you’re a data engineer experiencing GenAI-induced whiplash, you’re not alone. On one hand, everyone’s talking about whether GenAI’s not-insignificant data engineering skills are going to automate away their jobs. They need robust data pipelines, high-quality data, well-guarded privacy, and cost-effective scalability.

Data Engineering 59

Data Engineering Data Engineer Engineering High Quality Data 59

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%

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

Monte Carlo

JULY 13, 2023

Data-driven organizations generate, collect, and store vast amounts of data. To effectively manage and analyze this data, data engineering teams must navigate a wide range of challenges, including data access, security, compliance, and data observability.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Towards Data Science

JULY 13, 2023

A step-by-step guide to creating a knowledge graph and exploring its potential to enhance an LLM Continue reading on Towards Data Science »

Structured Data 60

Structured Data Data Science Data IT 60

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

AltexSoft

JUNE 29, 2021

This article will focus on the role of a machine learning engineer, their skills and responsibilities, and how they contribute to an AI project’s success. The role of a machine learning engineer in the data science team. The focus here is on engineering, not on building ML algorithms. Who does what in a data science team.

Machine Learning 105

Machine Learning Engineering Algorithm Programming Language 105

DataKitchen

FEBRUARY 27, 2024

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure.

Data Engineering 46

Data Engineering Data Engineer Engineering Unstructured Data 46

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

databricks

JUNE 2, 2024

We are excited to announce a new data type called variant for semi-structured data. Variant provides an order of magnitude performance improvements compared.

Structured Data 118

Structured Data Data Data Engineering Data Engineer 118

Hepta Analytics

FEBRUARY 14, 2022

We looked at the following: How do we ingest – ETL vs ELT Where do we store the data – Data lake vs data warehouse Which tool to we use to ingest – cronjob vs workflow engine NOTE : This weeks task requires good internet speed and good compute. It is mostly used when you have multiple sources of data.

Data Ingestion 52

Data Ingestion Data Engineering Data Engineer Engineering 52

Silectis

JANUARY 3, 2021

If you’re new to data engineering or are a practitioner of a related field, such as data science, or business intelligence, we thought it might be helpful to have a handy list of commonly used terms available for you to get up to speed. Data Engineering Data engineering is a process by which data engineers make data useful.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Christophe Blefari

JANUARY 14, 2024

It's always very exciting to go back and teach students, to help them discover the world of data from another perspective. I actually cover data engineering and how to put data stuff into production. Lead Data Engineer career guide — Detailed skillsets needed to be a lead data engineer.

Google Cloud 130

Google Cloud Data SQL Data Engineering 130

Knowledge Hut

FEBRUARY 16, 2023

Demand for data engineers is at a peak today globally due to the massive amount of data that companies accumulate and work with this data to draw actionable insights and make better business decisions. To do that, the generated data must be interpreted to be understood by the end user. What Does a Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Healthcare 52

Hevo

MAY 17, 2024

Snowflake Data Warehouse delivers essential infrastructure for handling a Data Lake, and Data Warehouse needs. It can store semi-structured and structured data in one place due to its multi-clusters architecture that allows users to independently query data using SQL.

Data Warehouse 52

Data Warehouse Data Lake Structured Data SQL 52

Data Engineering Podcast

DECEMBER 11, 2022

Summary Data is one of the core ingredients for machine learning, but the format in which it is understandable to humans is not a useful representation for models. Embedding vectors are a way to structure data in a way that is native to how models interpret and manipulate information. images, audio, video, etc.)

Unstructured Data 100

Unstructured Data Machine Learning Data Engineering Data Engineer 100

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer is one of the most popular job profiles in the data industry. 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 What does a big data engineer do?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

AUGUST 31, 2020

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management What are the pieces of advice that you wish you had received early in your career of data engineering? If you hand a book to a new data engineer, what wisdom would you add to it?

Data Warehouse 100

Data Warehouse Cloud Building Data Lake 100

Snowflake

JULY 27, 2023

It also came with other advantages such as independence of cloud infrastructure providers, data recovery features such as Time Travel , and zero copy cloning which made setting up several environments — such as dev, stage or production — way more efficient. This is a great advantage for two reasons.

Data Architecture 52

Data Architecture Architecture Building Structured Data 52

Knowledge Hut

MAY 31, 2023

These projects typically involve a collaborative team of software developers, data scientists, machine learning engineers, and subject matter experts. The development process may include tasks such as building and training machine learning models, data collection and cleaning, and testing and optimizing the final product.

Project 96

Project Healthcare Deep Learning Transportation 96

Knowledge Hut

DECEMBER 26, 2023

Data Science is a combination of several disciplines including Mathematics and Statistics, Data Analysis, Machine Learning, and Computer Science. Data Science is a huge umbrella with a plethora of roles available in the field such as a Data Scientist, Data Engineer, BI Developer, Data and Analytics Manager, etc.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

ThoughtSpot

MARCH 5, 2024

Start searching your real-time data with AI-Powered Analytics Now, you can use ThoughtSpot’s robust relational search engine to ask and answer any business question you have about your Snowflake data. Simplifiy multi-structured data integration by federating JSON, XML, and other formats through Snowflake for analysis.

BI 94

BI Datasets Raw Data SQL 94

Knowledge Hut

MAY 2, 2024

It provides high-level APIs in Java, Scala, Python, and R and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools, including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming.

Java 98

Java Hadoop Scala SQL 98

Knowledge Hut

JANUARY 29, 2024

In contrast, ETL is primarily employed by DW/ETL developers responsible for data integration between source systems and reporting layers. Data Structure: Data wrangling deals with varied and complex data sets, which may include unstructured or semi-structured data. Frequently Asked Questions (FAQs) 1.

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

Snowflake

APRIL 17, 2023

David Elliot, Staff Analytics Engineer at Deliveroo, shared that “the feature is amazing and super flexible. While customers can apply the Search Optimization Service to the few specific columns frequently used for filtering data, there’s also the option to automatically apply the Search Optimization Service to any column added to the table.

Food 57

Food Structured Data Utilities Accessible 57

Towards Data Science

JANUARY 16, 2024

My personal take on justifying the existence of Data Mesh A senior stakeholder at one my projects mentioned that they wanted to decentralise their data platform architecture and democratise data across the organisation. When I heard the words ‘decentralised data architecture’, I was left utterly confused at first!

Data Warehouse 63

Data Warehouse Data Architecture Relational Database NoSQL 63

Cloudera

NOVEMBER 15, 2021

In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else. The challenges of data. Here we mention two.

Unstructured Data 90

Unstructured Data Pipeline-centric Database-centric Entertainment 90

Monte Carlo

JUNE 6, 2023

Some organizations will attempt to diffuse the responsibility widely across data stewards, data owners, data engineering and governance committees, each owning a fraction of the data value chain. Table of Contents Why is important to answer who is responsible for data quality?

Data Governance 98

Data Governance Government Data Data Engineering 98

Monte Carlo

FEBRUARY 12, 2024

To differentiate and expand the usefulness of these models, organizations must augment them with first-party data – typically via a process called RAG (retrieval augmented generation). Today, this first-party data mostly lives in two types of data repositories.

Database 72

Database Unstructured Data Data Pipeline Metadata 72

Data Engineering Podcast

DECEMBER 8, 2019

Summary Data warehouses have gone through many transformations, from standard relational databases on powerful hardware, to column oriented storage engines, to the current generation of cloud-native analytical engines.

Data Warehouse 100

Data Warehouse Cloud AWS Relational Database 100

KDnuggets

JULY 1, 2023

Building a datalake for semi-structured data or json has always been challenging. Imagine if the json documents are streaming or continuously flowing from healthcare vendors then we need a robust modern architecture that can deal with such a high volume.

Building 94

Building Healthcare Structured Data Architecture 94

Knowledge Hut

JANUARY 30, 2024

Whether it's aggregating customer interactions, analyzing historical sales trends, or processing real-time sensor data, data extraction initiates the process. Goal To extract and transform data from its raw form into a structured format for analysis. Primary Focus Structuring and preparing data for further analysis.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Snowflake

MARCH 14, 2024

Glue provides a simple, direct way for organizations with SAP systems to quickly and securely ingest SAP data into Snowflake. It sits on the application layer within SAP, which makes almost any structured data accessible and available for change data capture (CDC).

IT 93

IT Data Ingestion Data AWS 93

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?

Unstructured Data 40

Unstructured Data Python Process Scala 40

Towards Data Science

JUNE 8, 2023

Engineer or analyst? We examine which team structures are the best suited for efficiently improving data quality. Sure, data quality is everyones’ problem. Some teams view data quality mainly as a technical challenge while others look at it as a business or process problem. Why is data quality ownership important?

Data Governance 73

Data Governance Government Generalist Data Engineering 73

Data Engineering Podcast

FEBRUARY 9, 2020

If you’re struggling with unwieldy dimensional models, slow moving projects, or challenges integrating new data sources then listen in on this conversation and then give data vault a try for yourself. Setting up and managing a data warehouse for your business analytics is a huge task.

Data Lake 100

Data Lake Data Warehouse Hadoop NoSQL 100