Monte Carlo

APRIL 24, 2023

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Monte Carlo

JANUARY 23, 2024

In the world of data engineering, Maxime Beauchemin is someone who needs no introduction. Currently, Maxime is CEO and co-founder of Preset , a fast-growing startup that’s paving the way forward for AI-enabled data visualization for modern companies. Enter, the data engineer. What is a data engineer today?

Data Engineering 98

Data Engineering Data Engineer Engineering Data 98

RandomTrees

FEBRUARY 6, 2024

Data engineering, the practice of collecting, transforming, and organizing data for analysis, is poised for a significant transformation with the advent of Generative Artificial Intelligence (Gen AI). Generative AI with ETL Pipelines: Generative AI can be used to automate the creation of ETL pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 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

SEPTEMBER 1, 2021

Summary The Presto project has become the de facto option for building scalable open source analytics in SQL for the data lake. That leaves DataOps reactive to data quality issues and can make your consumers lose confidence in your data. lets you identify data quality issues and their root causes from a single dashboard.

Data Lake 100

Data Lake Cloud AWS SQL 100

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. What is a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Monte Carlo

NOVEMBER 14, 2023

Databricks announced that Delta tables metadata will also be compatible with the Iceberg format, and Snowflake has also been moving aggressively to integrate with Iceberg. How data observability can increase data trust in Iceberg tables What is Apache Iceberg? How Apache Iceberg tables structure metadata. Let’s dive in.

Data Lake 64

Data Lake Metadata Data Warehouse SQL 64

Data Engineering Weekly

MARCH 24, 2024

Dive into Spyne's experience with: - Their search for query acceleration with pre-aggregations and caching - Developing new functionality with Open AI - Optimizing query cost with their data warehouse [link] Suresh Hasuni: Cost Optimization Strategies for Scalable Data Lakehouse Cost is the major concern as the adoption of data lakes increases.

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

Data Engineering Podcast

NOVEMBER 26, 2023

In this episode Tobias Macey shares his thoughts on the challenges that he is facing as he prepares to build the next set of architectural layers for his data platform to enable a larger audience to start accessing the data being managed by his team. Data lakes are notoriously complex.

Architecture 147

Architecture Data Lake High Quality Data SQL 147

Monte Carlo

JANUARY 23, 2023

When it comes to the data community, there’s always a debate broiling about something— and right now “data mesh vs data lake” is right at the top of that list. In this post we compare and contrast the data mesh vs data lake to illustrate the benefits of each and help discover what’s right for your data platform.

Data Lake 52

Data Lake Unstructured Data Business Intelligence Architecture 52

Data Engineering Podcast

AUGUST 28, 2022

Summary The dream of every engineer is to automate all of their tasks. For data engineers, this is a monumental undertaking. Orchestration engines are one step in that direction, but they are not a complete solution. Atlan is the metadata hub for your data ecosystem.

Data Engineering 100

Data Engineering Data Engineer MongoDB Metadata 100

Data Engineering Podcast

DECEMBER 18, 2022

In this episode Abe Gong brings his experiences with the Great Expectations project and community to discuss the technical and organizational considerations involved in implementing these constraints to your data workflows. Atlan is the metadata hub for your data ecosystem. Missing data? Missing data?

Metadata 130

Metadata Business Intelligence Data Lake BI 130

Data Engineering Podcast

FEBRUARY 19, 2023

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's supposed to make building smarter, faster, and more flexible data infrastructures a breeze. Can you describe what Iceberg is and its position in the data lake/lakehouse ecosystem?

IT 147

IT Data Lake Metadata Data Warehouse 147

Data Engineering Podcast

JUNE 17, 2023

In this episode Satish Jayanthi explores the benefits of incorporating column-aware tooling in the data modeling process. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or data lake.

Data Lake 130

Data Lake Metadata Machine Learning Data Architecture 130

Data Engineering Podcast

DECEMBER 29, 2022

In this episode she shares the strategic and tactical elements of how to make more effective use of the technical and organizational resources that are available to you for getting work done with data. Atlan is the metadata hub for your data ecosystem. Missing data? Missing data? Struggling with broken pipelines?

Management 130

Management Metadata Business Intelligence Data Lake 130

Monte Carlo

APRIL 1, 2021

Over the past few years, data lakes have emerged as a must-have for the modern data stack. But while the technologies powering our access and analysis of data have matured, the mechanics behind understanding this data in a distributed environment have lagged behind. Data discovery tools and platforms can help.

Data Lake 52

Data Lake Unstructured Data Data Warehouse Metadata 52

Data Engineering Weekly

DECEMBER 4, 2022

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. link] Barr Moses: What’s Next for Data Engineering in 2023?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Monte Carlo

MAY 31, 2022

When a data pipeline breaks, data engineers need to immediately understand where the rupture occurred and what has been impacted. Data downtime is costly. Field-level data lineage (not necessarily Spark lineage) with hundreds of connections between objects in upstream and downstream tables.

Data Lake 52

Data Lake Building Scala Metadata 52

Towards Data Science

APRIL 3, 2023

The post-modern data stack is coming. If you don’t like change, data engineering is not for you. The most prominent, recent examples are Snowflake and Databricks disrupting the concept of the database and ushering in the modern data stack era. The data lake is not as amorphous as it was just two years ago.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Warehouse 98

Grouparoo

OCTOBER 6, 2021

It was a fun experience and I think we made a good choice by picking 97 Things Every Data Engineer Should Know. This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Data Engineering Weekly

JANUARY 15, 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. 2023 predictions from the panel are; Unified metadata becomes kingmaker.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Silectis

FEBRUARY 3, 2021

We’re excited to share that Silectis has released a new suite of automated data lineage features within Magpie, the end-to-end data engineering platform. These features equip users with knowledge of where data originates, when it was published, and who it was published by. What is Data Lineage?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

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 52

Data Lake Data Warehouse Cloud Hadoop 52

Data Science Blog: Data Engineering

MAY 20, 2024

Continuous Integration and Continuous Delivery (CI/CD) for Data Pipelines: It is a Game-Changer with AnalyticsCreator! The need for efficient and reliable data pipelines is paramount in data science and data engineering. It offers full BI-Stack Automation, from source to data warehouse through to frontend.

Data Pipeline 52

Data Pipeline BI Data Lake Data Warehouse 52

Cloudera

OCTOBER 11, 2021

Modak, a leading provider of modern data engineering solutions, is now a certified solution partner with Cloudera. Customers can now seamlessly automate migration to Cloudera’s Hybrid Data Platform — Cloudera Data Platform (CDP) to dynamically auto-scale cloud services with Cloudera Data Engineering (CDE) integration with Modak Nabu.

Data Engineering 92

Data Engineering Data Engineer Cloud Engineering 92

Data Engineering Weekly

OCTOBER 30, 2022

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.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52

Data Engineering Podcast

DECEMBER 25, 2022

Summary Five years of hosting the Data Engineering Podcast has provided Tobias Macey with a wealth of insight into the work of building and operating data systems at a variety of scales and for myriad purposes. Atlan is the metadata hub for your data ecosystem. Missing data? Struggling with broken pipelines?

Building 100

Building Metadata Business Intelligence Data Lake 100

Data Engineering Podcast

NOVEMBER 27, 2022

In this episode Wes McKinney shares the ways that Arrow and its related projects are improving the efficiency of data systems and driving their next stage of evolution. Atlan is the metadata hub for your data ecosystem. Missing data? Start trusting your data with Monte Carlo today! Struggling with broken pipelines?

Data Process 100

Data Process Process Metadata Business Intelligence 100

Data Engineering Podcast

NOVEMBER 20, 2022

In this episode CEO and founder Salma Bakouk shares her views on the causes and impacts of "data entropy" and how you can tame it before it leads to failures. 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 Ingestion MongoDB Scala 130

Big Data Tools

SEPTEMBER 6, 2021

But data engineering never stops. 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 data engineering right now. Even if a meteorite hits your data center, your big data is still going to be safe!

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. Metadata layer 4. …ok, so maybe they don’t say that. But they should! Storage layer 3. API layer 5.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. Metadata layer 4. …ok, so maybe they don’t say that. But they should! Storage layer 3. API layer 5.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

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. Data Engineer certification will aid in scaling up you knowledge and learning of data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Ascend.io

APRIL 22, 2024

At Ascend, we believe it’s time to rethink data engineering from the ground up. As the world of data continues to evolve at a breakneck pace, we are thrilled to announce the next revolutionary step in our journey – Project Inception. Read More: The State of Data Engineering in 2023: Does Your Data Program Stack Up?

Project 52

Project Metadata Data Pipeline Data Engineering 52

Data Engineering Podcast

DECEMBER 4, 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. Missing data?

Business Intelligence 100

Business Intelligence Metadata BI MongoDB 100

Knowledge Hut

SEPTEMBER 29, 2023

This growth is creating a strong demand for data experts, especially Azure data engineers. But who are Azure data engineers, and what do they do? Moreover, what benefits can you expect from a career in Azure Data Engineering? Why Should You Get an Azure Data Engineer Certification?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

SEPTEMBER 11, 2022

Summary Data engineering systems are complex and interconnected with myriad and often opaque chains of dependencies. In order to turn this into a tractable problem one approach is to define and enforce contracts between producers and consumers of data. Atlan is the metadata hub for your data ecosystem.

Systems 100

Systems Metadata Building MongoDB 100