U-Next

SEPTEMBER 7, 2022

The terms “ Data Warehouse ” and “ Data Lake ” may have confused you, and you have some questions. Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. Data Warehouse in DBMS: . What is Data Lake? .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Monte Carlo

JUNE 14, 2023

In this post, we will help you quickly level up your overall knowledge of data pipeline architecture by reviewing: Table of Contents What is data pipeline architecture? Why is data pipeline architecture important? What is data pipeline architecture? What is data pipeline architecture?

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Monte Carlo

APRIL 24, 2023

During data ingestion, raw data is extracted from sources and ferried to either a staging server for transformation or directly into the storage level of your data stack—usually in the form of a data warehouse or data lake. There are two primary types of raw data. Missed Nishith’s 5 considerations?

Data Pipeline 52

Data Pipeline Building Data Ingestion BI 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Monte Carlo

AUGUST 25, 2023

That’s why it’s essential for teams to choose the right architecture for the storage layer of their data stack. But, the options for data storage are evolving quickly. Different vendors offering data warehouses, data lakes, and now data lakehouses all offer their own distinct advantages and disadvantages for data teams to consider.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Data Engineering Podcast

DECEMBER 18, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Metadata 130

Metadata Business Intelligence Data Lake BI 130

Data Engineering Podcast

DECEMBER 29, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Management 130

Management Metadata Business Intelligence Data Lake 130

Data Engineering Podcast

JANUARY 15, 2023

Trusted by the data teams at Fox, JetBlue, and PagerDuty, Monte Carlo solves the costly problem of broken data pipelines. Monte Carlo also gives you a holistic picture of data health with automatic, end-to-end lineage from ingestion to the BI layer directly out of the box.

Coding 130

Coding Building PostgreSQL Data Lake 130

Data Engineering Podcast

JANUARY 8, 2023

Trusted by the data teams at Fox, JetBlue, and PagerDuty, Monte Carlo solves the costly problem of broken data pipelines. Monte Carlo also gives you a holistic picture of data health with automatic, end-to-end lineage from ingestion to the BI layer directly out of the box.

PostgreSQL 130

PostgreSQL Data Lake Data Warehouse BI 130

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. Table of Contents What is a Data Pipeline? The Importance of a Data Pipeline What is an ETL Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Data Engineering Podcast

NOVEMBER 27, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Data Process 100

Data Process Process Metadata Business Intelligence 100

Towards Data Science

DECEMBER 4, 2023

A robust data infrastructure is a must-have to compete in the F1 business. We’ll build a data architecture to support our racing team starting from the three canonical layers : Data Lake, Data Warehouse, and Data Mart. Looker, PowerBI, Tableau, ThoughtSpot, …) and data pipelines tools.

Data Engineer 82

Data Engineer Data Engineering Engineering Data Lake 82

Data Engineering Podcast

MAY 22, 2022

Acryl Data provides DataHub as an easy to consume SaaS product which has been adopted by several companies. Signup for the SaaS product at dataengineeringpodcast.com/acryl RudderStack helps you build a customer data platform on your warehouse or data lake. Stop struggling to speed up your data lake.

Machine Learning 130

Machine Learning Data Engineer Data Engineering Cloud 130

Data Engineering Podcast

DECEMBER 25, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Building 100

Building Metadata Business Intelligence Data Lake 100

Ascend.io

AUGUST 31, 2023

Secondly , the rise of data lakes that catalyzed the transition from ELT to ELT and paved the way for niche paradigms such as Reverse ETL and Zero-ETL. Still, these methods have been overshadowed by EtLT — the predominant approach reshaping today’s data landscape. Let’s take a closer look.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

ThoughtSpot

SEPTEMBER 6, 2023

Those coveted insights live at the end of a process lovingly known as the data pipeline. The pathway from ETL to actionable analytics can often feel disconnected and cumbersome, leading to frustration for data teams and long wait times for business users. uptime and full data security compliance.

Data Workflow 105

Data Workflow Raw Data Data Lake Business Intelligence 105

Data Engineering Podcast

MAY 8, 2022

Acryl Data provides DataHub as an easy to consume SaaS product which has been adopted by several companies. Signup for the SaaS product at dataengineeringpodcast.com/acryl RudderStack helps you build a customer data platform on your warehouse or data lake.

Database 100

Database Data Lake BI Business Intelligence 100

Monte Carlo

JUNE 17, 2021

Additionally, to prevent issues and increase collaboration, teams need the ability to map their data lineage, understanding how changes in data pipelines affect downstream sources—from ingestion in a data lake to inclusion in a business intelligence report.

Data Pipeline 40

Data Pipeline Software Engineer Software Engineering Data Lake 40

Data Engineering Podcast

NOVEMBER 4, 2021

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Go to dataengineeringpodcast.com/montecarlo and start trusting your data with Monte Carlo today!

Data Warehouse 100

Data Warehouse Business Intelligence ETL System Data Lake 100

Data Engineering Podcast

AUGUST 21, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Metadata 100

Metadata MongoDB MySQL Data Lake 100

Data Engineering Podcast

MAY 1, 2022

If you’re a data engineering podcast listener, you get credits worth $3000 on an annual subscription Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Trusted by the data teams at Fox, JetBlue, and PagerDuty, Monte Carlo solves the costly problem of broken data pipelines.

Data Warehouse 100

Data Warehouse Data Integration Cloud Google Cloud 100

Data Engineering Podcast

APRIL 24, 2022

If you’re a data engineering podcast listener, you get credits worth $3000 on an annual subscription Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Trusted by the data teams at Fox, JetBlue, and PagerDuty, Monte Carlo solves the costly problem of broken data pipelines.

Data Warehouse 100

Data Warehouse Data Lake Data Pipeline BI 100

Data Engineering Podcast

OCTOBER 9, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value. What are some of the shortcomings of lakehouse architectures?

Metadata 100

Metadata MongoDB AWS MySQL 100

Monte Carlo

AUGUST 31, 2023

Data is a priority for your CEO, as it often is for digital-first companies, and she is fluent in the latest and greatest business intelligence tools. What about a frantic email from your CTO about “duplicate data” in a business intelligence dashboard?

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Cloudera

AUGUST 30, 2022

Data Lakehouse: Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support artificial intelligence, business intelligence, machine learning, and data engineering use cases on a single platform. Towards Data Science ). Forrester ).

Data Architecture 77

Data Architecture Architecture Data Lake NoSQL 77

AltexSoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Data warehouse vs data lake vs data lakehouse: What’s the difference.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Monte Carlo

AUGUST 2, 2022

Achieving reliable Databricks pipelines with data observability With our new partnership and updated integration , Monte Carlo provides full, end-to-end coverage across data lake and lakehouse environments powered by Databricks. Find the root cause of data quality issues fast. Prevent data downtime.

Building 52

Building Data Lake Business Intelligence Data Pipeline 52

Data Engineering Podcast

DECEMBER 11, 2021

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! Start trusting your data with Monte Carlo today!

Data Warehouse 100

Data Warehouse Raw Data Data Lake BI 100

Data Engineering Podcast

DECEMBER 4, 2021

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! Start trusting your data with Monte Carlo today!

Data Warehouse 100

Data Warehouse Data Lake BI Data 100

Data Engineering Podcast

OCTOBER 5, 2021

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! Start trusting your data with Monte Carlo today!

Engineering 100

Engineering MongoDB Kafka Data Lake 100

Data Engineering Podcast

SEPTEMBER 24, 2021

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! Start trusting your data with Monte Carlo today!

Data Process 100

Data Process Python Process Data Lake 100

Data Engineering Podcast

SEPTEMBER 19, 2021

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! Start trusting your data with Monte Carlo today!

Data Engineer 100

Data Engineer Data Engineering Engineering Data Lake 100

Data Engineering Podcast

AUGUST 28, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Data Engineer 100

Data Engineer Data Engineering MongoDB Metadata 100

Data Engineering Podcast

NOVEMBER 27, 2021

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! Start trusting your data with Monte Carlo today!

Data Warehouse 100

Data Warehouse Data Lake BI Business Intelligence 100

Data Engineering Podcast

OCTOBER 13, 2021

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! Start trusting your data with Monte Carlo today!

Entertainment 100

Entertainment Big Data Data Lake Business Intelligence 100

Striim

NOVEMBER 15, 2023

Through Striim’s breakthrough of AI-ready data streaming, we’re ushering in a new era of analytics and AI, all harmonized under a single data platform on Microsoft Azure. All of these services are served by OneLake, a unified intelligent storage layer that solves the complex problem of decentralized data teams working in silos.

Retail 52

Retail BI Data Warehouse Business Analyst 52

Data Engineering Podcast

JANUARY 1, 2022

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! Start trusting your data with Monte Carlo today!

Data Warehouse 100

Data Warehouse SQL Hadoop Data Lake 100