Cloud, Data Warehouse and Hadoop - Data Engineering Digest

Building A Better Data Warehouse For The Cloud At Firebolt

Data Engineering Podcast

AUGUST 31, 2020

Summary Data warehouse technology has been around for decades and has gone through several generational shifts in that time. The current trends in data warehousing are oriented around cloud native architectures that take advantage of dynamic scaling and the separation of compute and storage.

Data Warehouse

Data Warehouse Cloud Building Data Lake

Data Warehouse vs. Data Lake

Precisely

MARCH 9, 2023

As cloud computing platforms make it possible to perform advanced analytics on ever larger and more diverse data sets, new and innovative approaches have emerged for storing, preprocessing, and analyzing information. Hadoop, Snowflake, Databricks and other products have rapidly gained adoption.

Data Lake

Data Lake Data Warehouse Hadoop Raw Data

Data Lake vs Data Warehouse - Working Together in the Cloud

ProjectPro

AUGUST 11, 2021

“Data Lake vs Data Warehouse = Load First, Think Later vs Think First, Load Later” The terms data lake and data warehouse are frequently stumbled upon when it comes to storing large volumes of data. Data Warehouse Architecture What is a Data lake?

Data Lake

Data Lake Data Warehouse Cloud Hadoop

Webinars

Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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How to learn data engineering

Christophe Blefari

JANUARY 20, 2024

Data engineering inherits from years of data practices in US big companies. Hadoop initially led the way with Big Data and distributed computing on-premise to finally land on Modern Data Stack — in the cloud — with a data warehouse at the center. What is Hadoop?

Data Engineer

Data Engineer Data Engineering Engineering Hadoop

Data Lake vs. Data Warehouse: Differences and Similarities

U-Next

SEPTEMBER 7, 2022

The terms “ Data Warehouse ” and “ Data Lake ” may have confused you, and you have some questions. There are times when the data is structured , but it is often messy since it is ingested directly from the data source. What is Data Warehouse? . Data Warehouse in DBMS: .

Data Lake

Data Lake Data Warehouse Unstructured Data Amazon Web Services

Data Warehouse vs Data Lake vs Data Lakehouse: Definitions, Similarities, and Differences

Monte Carlo

AUGUST 25, 2023

At the same time, 81% of IT leaders say their C-suite has mandated no additional spending or a reduction of cloud costs. Data teams need to balance the need for robust, powerful data platforms with increasing scrutiny on costs. But, the options for data storage are evolving quickly. Let’s dive in.

Data Lake

Data Lake Data Warehouse Unstructured Data Raw Data

Building A Data Governance Bridge Between Cloud And Datacenters For The Enterprise At Privacera

Data Engineering Podcast

MARCH 27, 2022

Summary Data governance is a practice that requires a high degree of flexibility and collaboration at the organizational and technical levels. The growing prominence of cloud and hybrid environments in data management adds additional stress to an already complex endeavor. Email hosts@dataengineeringpodcast.com ) with your story.

Data Governance

Data Governance Government Cloud Building

How to get started with dbt

Christophe Blefari

MARCH 1, 2023

dbt Core is an open-source framework that helps you organise data warehouse SQL transformation. dbt Labs also develop dbt Cloud which is a cloud product that hosts and runs dbt Core projects. This switch has been lead by modern data stack vision. With the public clouds—e.g. Enter the ELT.

Data Warehouse

Data Warehouse SQL Metadata Raw Data

Reflecting On The Past 6 Years Of Data Engineering

Data Engineering Podcast

FEBRUARY 5, 2023

Sign up now for early access to Materialize and get started with the power of streaming data with the same simplicity and low implementation cost as batch cloud data warehouses. Go to [dataengineeringpodcast.com/materialize]([link] Support Data Engineering Podcast

Data Engineer

Data Engineer Data Engineering Engineering PostgreSQL

Big Data Technologies that Everyone Should Know in 2024

Knowledge Hut

APRIL 25, 2024

If you pursue the MSc big data technologies course, you will be able to specialize in topics such as Big Data Analytics, Business Analytics, Machine Learning, Hadoop and Spark technologies, Cloud Systems etc. Look for a suitable big data technologies company online to launch your career in the field.

Big Data

Big Data Technology Hadoop NoSQL

Taking A Tour Of The Google Cloud Platform For Data And Analytics

Data Engineering Podcast

JUNE 11, 2021

Now they offer the technologies that they run internally to external users of their cloud platform. In this episode Lak Lakshmanan enumerates the variety of services that are available for building your various data processing and analytical systems. The data you’re looking for is already in your data warehouse and BI tools.

Google Cloud

Google Cloud Cloud Big Data Ecosystem BI

Snowflake Migration Success Stories: Core Digital Media and NAVEX

Snowflake

OCTOBER 16, 2024

Many of our customers — from Marriott to AT&T — start their journey with the Snowflake AI Data Cloud by migrating their data warehousing workloads to the platform. Today we’re focusing on customers who migrated from a legacy data warehouse to Snowflake and some of the benefits they saw.

Digital Media

Digital Media Media Data Lake Data Warehouse

Is Modern Data Warehouse Architecture Broken?

Monte Carlo

APRIL 16, 2022

The data warehouse is the foundation of the modern data stack, so it caught our attention when we saw Convoy head of data Chad Sanderson declare, “ the data warehouse is broken ” on LinkedIn. Treating data like an API. Immutable data warehouses have challenges too.

Data Warehouse

Data Warehouse Architecture Data Data Architect

Databricks, Snowflake and the future

Christophe Blefari

JUNE 21, 2024

Snowflake was founded in 2012 around its data warehouse product, which is still its core offering, and Databricks was founded in 2013 from academia with Spark co-creator researchers, becoming Apache Spark in 2014. Snowflake and Databricks have the same goal, both are selling a cloud on top of classic 1 cloud vendors.

Metadata

Metadata Data Warehouse BI Scala

Modern Customer Data Platform Principles

Data Engineering Podcast

JANUARY 21, 2024

A substantial amount of the data that is being managed in these systems is related to customers and their interactions with an organization. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex.

Data Lake

Data Lake High Quality Data NoSQL Data Warehouse

The Good and the Bad of Hadoop Big Data Framework

AltexSoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. The Hadoop toy. So the first secret to Hadoop’s success seems clear — it’s cute. What is Hadoop?

Hadoop

Hadoop Big Data Google Cloud NoSQL

The View Below The Waterline Of Apache Iceberg And How It Fits In Your Data Lakehouse

Data Engineering Podcast

FEBRUARY 19, 2023

Summary Cloud data warehouses have unlocked a massive amount of innovation and investment in data applications, but they are still inherently limiting. Because of their complete ownership of your data they constrain the possibilities of what data you can store and how it can be used.

IT

IT Data Lake Metadata Data Warehouse

Data Orchestration For Hybrid Cloud Analytics

Data Engineering Podcast

OCTOBER 21, 2019

In this episode Dipti Borkar explains how the emerging category of data orchestration tools fills this need, some of the existing projects that fit in this space, and some of the ways that they can work together to simplify projects such as cloud migration and hybrid cloud environments.

Cloud

Cloud Hadoop Data Lake Programming Language

How Marriott Modernized Their Data Architecture with Snowflake

Snowflake

SEPTEMBER 14, 2023

The Snowflake Data Cloud gives you the flexibility to build a modern architecture of choice to unlock value from your data. Snowflake was built from the ground up in the cloud. Snowflake’s platform provides industry-leading features that ensure the highest standards of governance for your account, users, and data.

Data Architecture

Data Architecture Architecture Hadoop Data Warehouse

96 Percent of Businesses Can’t Be Wrong: How Hybrid Cloud Came to Dominate the Data Sector

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. Cloud technologies and respective service providers have evolved solutions to address these challenges. . But how did the hybrid cloud come to dominate the data sector?

Cloud

Cloud Cloud Computing Hadoop Data Warehouse

Optimize Hadoop Operational Efficiency By 30%

Acceldata

DECEMBER 5, 2022

Acceldata’s data observability Pulse product is specifically designed to improve reliability, scale, and cost for HDP/CDH. It's a highly optimized solution that gives you options to keep your HDP/CDP on-premises or migrate to the cloud data warehouses of your choice on your own timeframe.

Hadoop

Hadoop Data Warehouse Cloud Designing

Best Morgan Stanley Data Engineer Interview Questions

U-Next

MARCH 1, 2023

A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. A good Data Engineer will also have experience working with NoSQL solutions such as MongoDB or Cassandra, while knowledge of Hadoop or Spark would be beneficial.

Data Engineer

Data Engineer Data Engineering Non-relational Database Engineering

Why Open Table Format Architecture is Essential for Modern Data Systems

phData: Data Engineering

NOVEMBER 8, 2024

Versioning also ensures a safer experimentation environment, where data scientists can test new models or hypotheses on historical data snapshots without impacting live data. Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature. FAQs What is a Data Lakehouse?

Architecture

Architecture Systems Data Lake Google Cloud

StreamNative Brings Streaming Data To The Cloud Native Landscape With Pulsar

Data Engineering Podcast

MAY 11, 2020

His most recent endeavor at StreamNative is focused on combining the capabilities of Pulsar with the cloud native movement to make it easier to build and scale real time messaging systems with built in event processing capabilities. Tidy Data is the DataOps monitoring platform that you’ve been missing.

Cloud

Cloud Lambda Architecture Kafka Hadoop

Upgrade your Modern Data Stack

Christophe Blefari

SEPTEMBER 28, 2023

The era of Big Data was characterised by Hadoop, HDFS, distributed computing (Spark), above the JVM. That's why big data technologies got swooshed by the modern data stack when it arrived on the market—excepting Spark. We need to store, process and visualise data, everything else is just marketing.

Big Data

Big Data Cloud Storage Hadoop SQL

Recap of Hadoop News for November

ProjectPro

DECEMBER 6, 2016

News on Hadoop-November 2016 Microsoft's Hadoop-friendly Azure Data Lake will be generally available in weeks. Microsoft's cloud-based Azure Data Lake will soon be available for big data analytic workloads. Apache Hadoop is based on Java and it is an open source software.

Hadoop

Hadoop Data Lake Big Data BI

Data News — Week 22.45

Christophe Blefari

NOVEMBER 11, 2022

Mastodon and Hadoop are on a boat. Ingredients of a Data Warehouse Going back to basics. Kovid wrote an article that tries to explain what are the ingredients of a data warehouse. A data warehouse is a piece of technology that acts on 3 ideas: the data modeling, the data storage and processing engine.

BI

BI Data Warehouse Data Database

Cognizant Hadoop Interview Questions

ProjectPro

AUGUST 9, 2016

After taking comprehensive hands-on hadoop training, the placement season is finally upon you. You applied for a Cognizant Hadoop Job interview and fortunately, were shortlisted. It is just the technical hadoop job interview that separates you from your big data career.

Hadoop

Hadoop Insurance Cloud Computing Big Data

Q&A with Greg Rahn – The changing Data Warehouse market

Cloudera

DECEMBER 12, 2018

After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer. I spent eight years in the real-world performance group where I specialized in high visibility and high impact data warehousing competes and benchmarks.

Data Warehouse

Data Warehouse Relational Database Hadoop Database

A Prequel to Data Mesh

Towards Data Science

JANUARY 16, 2024

Evolution of the data landscape 1980s — Inception Relational databases came into existence. Result: Data warehouse was born. Data volumes started to grow. Result: The concept of Massively Parallel Processing (MPP) was introduced — data distributed across clusters. The concept of `Data Marts` was introduced.

Data Warehouse

Data Warehouse Data Architecture Relational Database NoSQL

Creating a Data Pipeline with Spark, Google Cloud Storage and Big Query

Towards Data Science

MARCH 6, 2023

On-premise and cloud working together to deliver a data product Photo by Toro Tseleng on Unsplash Developing a data pipeline is somewhat similar to playing with lego, you mentalize what needs to be achieved (the data requirements), choose the pieces (software, tools, platforms), and fit them together.

Google Cloud

Google Cloud Cloud Storage Data Pipeline Cloud

Charting A Path For Streaming Data To Fill Your Data Lake With Hudi

Data Engineering Podcast

AUGUST 3, 2021

RudderStack’s smart customer data pipeline is warehouse-first. It builds your customer data warehouse and your identity graph on your data warehouse, with support for Snowflake, Google BigQuery, Amazon Redshift, and more. RudderStack’s smart customer data pipeline is warehouse-first.

Data Lake

Data Lake Data Warehouse Hadoop Architecture

Data Engineering Weekly #173

Data Engineering Weekly

MAY 26, 2024

[link] Tweeq: Tweeq Data Platform: Journey and Lessons Learned: Clickhouse, dbt, Dagster, and Superset Tweeq writes about its journey of building a data platform with cloud-agnostic open-source solutions and some integration challenges. It is refreshing to see an open stack after the Hadoop era.

Data Engineer

Data Engineer Data Engineering Engineering Google Cloud

Recap of Hadoop News for March

ProjectPro

APRIL 1, 2016

News on Hadoop- March 2016 Hortonworks makes its core more stable for Hadoop users. PCWorld.com Hortonworks is going a step further in making Hadoop more reliable when it comes to enterprise adoption. Hortonworks Data Platform 2.4, Source: [link] ) Syncsort makes Hadoop and Spark available in native Mainframe.

Hadoop

Hadoop BI Big Data Big Data Tools

15+ Best Data Engineering Tools to Explore in 2023

Knowledge Hut

APRIL 25, 2023

Data engineers add meaning to the data for companies, be it by designing infrastructure or developing algorithms. The practice requires them to use a mix of various programming languages, data warehouses, and tools. While they go about it - enter big data data engineer tools. What are Data Engineering Tools?

Data Engineer

Data Engineer Data Engineering Engineering Google Cloud

Run Your Applications Worldwide Without Worrying About The Database With Planetscale

Data Engineering Podcast

DECEMBER 11, 2022

Datafold shows how a change in SQL code affects your data, both on a statistical level and down to individual rows and values before it gets merged to production. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.

Database

Database MySQL Data Lake MongoDB

What is an AI Data Engineer? 4 Important Skills, Responsibilities, & Tools

Monte Carlo

OCTOBER 31, 2024

In addition, AI data engineers should be familiar with programming languages such as Python , Java, Scala, and more for data pipeline, data lineage, and AI model development. Data Storage Solutions As we all know, data can be stored in a variety of ways.

Data Engineer

Data Engineer Data Engineering Engineering Unstructured Data

Top Data Lake Vendors (Quick Reference Guide)

Monte Carlo

APRIL 24, 2023

By accommodating various data types, reducing preprocessing overhead, and offering scalability, data lakes have become an essential component of modern data platforms , particularly those serving streaming or machine learning use cases. See our post: Data Lakes vs. Data Warehouses.

Data Lake

Data Lake Google Cloud Data Warehouse AWS

dbt Squared: Leveraging dbt Core and dbt Cloud together at scale

dbt Developer Hub

APRIL 16, 2023

At Roche, getting the right tools in the hands of our teammates was critical to our ability to grow our data team from 10 core engineers to over 100 contributors in just two years. We embraced both dbt Core and dbt Cloud at Roche (a dbt-squared solution, if you will!) to quickly scale our data platform.

Cloud

Cloud Architecture Data Pipeline SQL

What is AWS EMR (Amazon Elastic MapReduce)?

Edureka

JULY 4, 2024

Overwhelmed with log files and sensor data? It is a cloud-based service by Amazon Web Services (AWS) that simplifies processing large, distributed datasets using popular open-source frameworks, including Apache Hadoop and Spark. Amazon EMR creates cloud-based clusters running in accordance with selected configuration scripts.

AWS

AWS Amazon Web Services Hadoop Big Data

15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

NOVEMBER 28, 2023

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. This can be easier when you are using existing cloud services.

Data Engineer

Data Engineer Data Engineering Engineering Generalist

Seeing the Enterprise Data Cloud in Action at DataWorks Summit DC

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The Enterprise Data Cloud – A Healthcare Perspective. Walgreens will be sharing about its cloud automation journey.

Cloud

Cloud Hadoop Healthcare Big Data Ecosystem

Accelerating ML Training And Delivery With In-Database Machine Learning

Data Engineering Podcast

JUNE 14, 2021

RudderStack’s smart customer data pipeline is warehouse-first. It builds your customer data warehouse and your identity graph on your data warehouse, with support for Snowflake, Google BigQuery, Amazon Redshift, and more. RudderStack’s smart customer data pipeline is warehouse-first.

Machine Learning

Machine Learning Database Data Warehouse Hadoop

Top 10 Azure Data Engineer Job Opportunities in 2024 [Career Options]

Knowledge Hut

MARCH 28, 2024

Azure Data Engineer Career Demands & Benefits Azure has become one of the most powerful platforms in the industry, where Microsoft offers a variety of data services and analytics tools. As a result, organizations are looking to capitalize on cloud-based data solutions.

Data Engineer

Data Engineer Data Engineering Engineering Data Warehouse

Building A Better Data Warehouse For The Cloud At Firebolt

Data Warehouse vs. Data Lake

Webinars

Trending Sources

Data Lake vs Data Warehouse - Working Together in the Cloud

Webinars

How to learn data engineering

Data Lake vs. Data Warehouse: Differences and Similarities

Data Warehouse vs Data Lake vs Data Lakehouse: Definitions, Similarities, and Differences

Building A Data Governance Bridge Between Cloud And Datacenters For The Enterprise At Privacera

How to get started with dbt

Reflecting On The Past 6 Years Of Data Engineering

Big Data Technologies that Everyone Should Know in 2024

Taking A Tour Of The Google Cloud Platform For Data And Analytics

Snowflake Migration Success Stories: Core Digital Media and NAVEX

Is Modern Data Warehouse Architecture Broken?

Databricks, Snowflake and the future

Modern Customer Data Platform Principles

The Good and the Bad of Hadoop Big Data Framework

The View Below The Waterline Of Apache Iceberg And How It Fits In Your Data Lakehouse

Data Orchestration For Hybrid Cloud Analytics

How Marriott Modernized Their Data Architecture with Snowflake

96 Percent of Businesses Can’t Be Wrong: How Hybrid Cloud Came to Dominate the Data Sector

Optimize Hadoop Operational Efficiency By 30%

Best Morgan Stanley Data Engineer Interview Questions

Why Open Table Format Architecture is Essential for Modern Data Systems

StreamNative Brings Streaming Data To The Cloud Native Landscape With Pulsar

Upgrade your Modern Data Stack

Recap of Hadoop News for November

Data News — Week 22.45

Cognizant Hadoop Interview Questions

Q&A with Greg Rahn – The changing Data Warehouse market

A Prequel to Data Mesh

Creating a Data Pipeline with Spark, Google Cloud Storage and Big Query

Charting A Path For Streaming Data To Fill Your Data Lake With Hudi

Data Engineering Weekly #173

Recap of Hadoop News for March

15+ Best Data Engineering Tools to Explore in 2023

Run Your Applications Worldwide Without Worrying About The Database With Planetscale

What is an AI Data Engineer? 4 Important Skills, Responsibilities, & Tools

Top Data Lake Vendors (Quick Reference Guide)

dbt Squared: Leveraging dbt Core and dbt Cloud together at scale

What is AWS EMR (Amazon Elastic MapReduce)?

15+ Must Have Data Engineer Skills in 2023

Seeing the Enterprise Data Cloud in Action at DataWorks Summit DC

Accelerating ML Training And Delivery With In-Database Machine Learning

Top 10 Azure Data Engineer Job Opportunities in 2024 [Career Options]

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