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 278

Data Warehouse SQL Metadata Raw Data 278

Data Engineering Podcast

MAY 1, 2022

Summary The predominant pattern for data integration in the cloud has become extract, load, and then transform or ELT. 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. Start trusting your data with Monte Carlo today!

Data Warehouse 100

Data Warehouse Data Integration Cloud Google Cloud 100

Analytics Vidhya

FEBRUARY 1, 2023

Introduction Nowadays, organizations are looking for multiple solutions to deal with big data and related challenges. If you’re preparing for the Snowflake interview, […] The post A Comprehensive Guide Of Snowflake Interview Questions appeared first on Analytics Vidhya.

Data Cleanse 216

Data Cleanse Data Warehouse Big Data Cloud 216

Data Engineering Podcast

FEBRUARY 18, 2024

Summary A data lakehouse is intended to combine the benefits of data lakes (cost effective, scalable storage and compute) and data warehouses (user friendly SQL interface). Multiple open source projects and vendors have been working together to make this vision a reality.

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

Confluent

JULY 26, 2021

Twenty years ago, the data warehouses of choice were Oracle and Teradata. Since then, growth and innovation has shifted to the cloud, and a new generation of data systems have […].

Systems 116

Systems Cloud Designing Data Warehouse 116

Analytics Vidhya

FEBRUARY 8, 2023

Introduction Amazon Redshift is a fully managed, petabyte-scale data warehousing Amazon Web Services (AWS). It allows users to easily set up, operate, and scale a data warehouse in the cloud.

Amazon Web Services 221

Amazon Web Services AWS Data Warehouse Cloud 221

Hevo

SEPTEMBER 4, 2024

A data warehouse is a centralized system that stores, integrates, and analyzes large volumes of structured data from various sources. It is predicted that more than 200 zettabytes of data will be stored in the global cloud by 2025.

Data Warehouse 72

Data Warehouse Structured Data Data Cloud 72

Christophe Blefari

MARCH 15, 2024

Postgres creator launches DBOS, a transactional serverless computing platform — Mike sees DBOS like a cloud-native OS that runs on-top of the database in order to rethink application development and deployment. Arroyo, a stream-processing platform, rebuilt their engine using DataFusion.

Metadata 272

Metadata Datasets Data Data Warehouse 272

Analytics Vidhya

FEBRUARY 25, 2023

The need for a data lake arises from the growing volume, variety, and velocity of data companies need to manage and analyze.

Cloud Storage 157

Cloud Storage Data Lake Cloud Unstructured Data 157

Cloudera

JANUARY 28, 2022

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts.

Cloud 120

Cloud Banking Data Governance Government 120

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.

Data Governance 130

Data Governance Government Cloud Building 130

Cloudera

APRIL 3, 2023

In this blog, we will share with you in detail how Cloudera integrates core compute engines including Apache Hive and Apache Impala in Cloudera Data Warehouse with Iceberg. We will publish follow up blogs for other data services. It allows us to independently upgrade the Virtual Warehouses and Database Catalogs.

Data Warehouse 87

Data Warehouse Java Metadata Data 87

Data Engineering Podcast

MAY 29, 2022

Summary The latest generation of data warehouse platforms have brought unprecedented operational simplicity and effectively infinite scale. In order to ensure that you can explore and analyze your data without spending money on inefficient queries Mingsheng Hong and Zheng Shao created Bluesky Data.

Cloud 100

Cloud Data Warehouse Data Lake Data 100

Cloudera

APRIL 21, 2021

The most important step in a successful upgrade to CDP Private Cloud Base is understanding your environment. Despite these challenges, we knew we wanted to go to CDP Private Cloud. The post Drinking our own champagne – Cloudera upgrades to CDP Private Cloud appeared first on Cloudera Blog. before the upgrade.

Cloud 122

Cloud Professional Services Java Data Warehouse 122

Cloudera

OCTOBER 18, 2022

With global spend on the public cloud reaching $385 billion in 2021 , Cloudera was by no means alone in identifying that we, too, needed to be conscious of the ever-increasing costs of our public cloud infrastructure. The goal was to provide a unified single source of truth for all our cloud spending. Project CloudCost — design.

Cloud 95

Cloud IT Data Warehouse Professional Services 95

Confessions of a Data Guy

JANUARY 12, 2023

Anyone who’s been roaming around the forest of Data Engineering has probably run into many of the newish tools that have been growing rapidly around the concepts of Data Warehouses, Data Lakes, and Lake Houses … the merging of the old relational database functionality with TB and PB level cloud-based file storage systems.

Data Lake 162

Data Lake Relational Database Data Warehouse Data Engineer 162

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 147

Metadata Data Warehouse BI MySQL 147

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 147

Data Engineer Data Engineering Engineering PostgreSQL 147

Cloudera

NOVEMBER 1, 2022

In the private sector, excluding highly regulated industries like financial services, the migration to the public cloud was the answer to most IT modernization woes, especially those around data, analytics, and storage. It’s here where the private cloud delivers.

Cloud 95

Cloud Government Cloud Computing Data Architecture 95

Analytics Vidhya

MARCH 10, 2023

Introduction Snowflake is a cloud-based data warehousing platform that enables enterprises to manage vast and complicated information by providing scalable storage and processing capabilities. It is intended to be a fully managed, multi-cloud solution that does not need clients to handle hardware or software.

Cloud 240

Cloud Designing Management Process 240

Data Engineering Podcast

SEPTEMBER 29, 2021

There have been many attempts to harness all of the data that you generate for gaining useful insights about yourself, but they are generally difficult to set up and manage or require software development experience. Start trusting your data with Monte Carlo today! Start trusting your data with Monte Carlo today!

Cloud 100

Cloud Data Lake Business Intelligence Data 100

Data Engineering Podcast

FEBRUARY 4, 2024

Dagster offers a new approach to building and running data platforms and data pipelines. It is an open-source, cloud-native orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.

SQL 173

SQL Data Lake High Quality Data Data Pipeline 173

Data Engineering Podcast

APRIL 9, 2023

Summary The customer data platform is a category of services that was developed early in the evolution of the current era of cloud services for data processing. Now that the data warehouse has taken center stage a new approach of composable customer data platforms is emerging.

Data Lake 147

Data Lake Data Warehouse Machine Learning Data 147

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 147

Data Lake High Quality Data NoSQL Data Warehouse 147

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 147

IT Data Lake Metadata Data Warehouse 147

Cloudera

DECEMBER 16, 2022

We are pleased to announce that Cloudera has been named a Leader in the 2022 Gartner ® Magic Quadrant for Cloud Database Management Systems. Cloudera has been recognized in this cloud DBMS report since its inception in 2020. We do it today when data is even bigger, and hybrid — and clouds — are expensive. This is unique.

Database 97

Database Cloud Systems Management 97

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. This is often linked to real-time.

Data Engineer 130

Data Engineer Data Engineering Engineering Hadoop 130

Data Engineering Weekly

AUGUST 6, 2024

For instance, in a fast-paced retail environment, lakehouses can ensure that inventory data remains up-to-date and accurate in the data warehouse, optimizing supply chain efficiency. However, these businesses must unlock the value within these systems and leverage it in modern, cloud-based analytical environments.

Data Lake 126

Data Lake Data Warehouse Database Data Architecture 126

Snowflake

OCTOBER 17, 2023

See how ctrl+s provides in-depth insights into supply chain sustainability, while protecting sensitive customer information—all through Snowflake’s powerful, scalable Data Cloud. But providing these insights requires a huge amount of data, along with a platform that makes it easy to ingest, access and understand that data.

Cloud 88

Cloud Consulting Transportation Manufacturing 88

Snowflake

NOVEMBER 30, 2023

At TCS , we help companies shift their enterprise data warehouse (EDW) platforms to the cloud as well as offering IT services. We’re extremely familiar with just how tricky a cloud migration can be, especially when it involves moving historical business data.

Data Warehouse 105

Data Warehouse Banking Data Cloud 105

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 130

Data Lake Data Warehouse Hadoop Architecture 130

Christophe Blefari

NOVEMBER 11, 2022

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. And he does it well.

BI 130

BI Data Warehouse Data Database 130

Data Engineering Weekly

OCTOBER 11, 2024

The data world is abuzz with speculation about the future of data engineering and the successor to the celebrated modern data stack. While the modern data stack has undeniably revolutionized data management with its cloud-native approach, its complexities and limitations are becoming increasingly apparent.

Manufacturing 111

Manufacturing Transportation Data Warehouse Unstructured Data 111

Data Engineering Podcast

SEPTEMBER 3, 2023

Summary Cloud data warehouses and the introduction of the ELT paradigm has led to the creation of multiple options for flexible data integration, with a roughly equal distribution of commercial and open source options. Materialize]([link] You shouldn't have to throw away the database to build with fast-changing data.

Data Integration 162

Data Integration BI SQL Python 162

François Nguyen

MARCH 22, 2021

How can we interoperate between the data domains ? How do we govern all these data products and domains ? It will be illustrated with our technical choices and the services we are using in the Google Cloud Platform. This is really the dark side of the data. It looks nice but it is really not !

Technology 130

Technology Architecture Google Cloud Metadata 130

Data Engineering Podcast

DECEMBER 28, 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.

Data Lake 130

Data Lake Data Warehouse Data Pipeline MongoDB 130

Data Engineering Podcast

JANUARY 8, 2023

Truly leveraging and benefiting from streaming data is hard - the data stack is costly, difficult to use and still has limitations. Materialize breaks down those barriers with a true cloud-native streaming database - not simply a database that connects to streaming systems. Missing data? Stale dashboards?

PostgreSQL 130

PostgreSQL Data Lake Data Warehouse BI 130