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. Big Data Large volumes of structured or unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Data Engineering Podcast

MAY 8, 2022

In this episode Jon Herke shares how TigerGraph customers are taking advantage of those capabilities to achieve meaningful discoveries in their fields, the utilities that it provides for modeling and managing your connected data, and some of his own experiences working with the platform before joining the company. Missing data?

Database 100

Database Data Lake BI Business Intelligence 100

Knowledge Hut

JUNE 30, 2023

The demand for experienced data engineers continuously expands in today's data-driven environment. Books on data engineering serve as essential resources to guide you through the vast terrain of data engineering. What is Data Engineering? Who are Data Engineers?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Data Engineering Podcast

AUGUST 21, 2022

In this episode Tracy Daniels, CDO of Truist, shares her journey into the position, her responsibilities, and her relationship to the data professionals in her organization. RudderStack helps you build a customer data platform on your warehouse or data lake. Can you describe what your path to CDO of Truist has been?

Metadata 100

Metadata MongoDB MySQL Data Lake 100

Data Engineering Podcast

SEPTEMBER 11, 2022

Summary Data engineering systems are complex and interconnected with myriad and often opaque chains of dependencies. As they scale, the problems of visibility and dependency management can increase at an exponential rate. Interview Introduction How did you get involved in the area of data management?

Systems 100

Systems Metadata Building MongoDB 100

Data Engineering Podcast

NOVEMBER 4, 2021

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?

Data Warehouse 100

Data Warehouse Business Intelligence ETL System Data Lake 100

Data Engineering Podcast

OCTOBER 28, 2021

He also explains why he started Decodable to address that limitation and the work that he and his team have done to let data engineers build streaming pipelines entirely in SQL. Missing data? Start trusting your data with Monte Carlo today! And don’t forget to thank them for their continued support of this show!

Data Pipeline 100

Data Pipeline SQL Data Warehouse Data Lake 100

Data Engineering Podcast

DECEMBER 11, 2021

In this episode he explains how it can be used to build rich and useful profiles of your users, the system architecture that powers it, and some of the ways that it is being integrated into an organization’s broader data ecosystem. Missing data? Start trusting your data with Monte Carlo today! Stale dashboards?

Data Warehouse 100

Data Warehouse Raw Data Data Lake BI 100

Data Engineering Podcast

DECEMBER 4, 2021

The whole process of hiring is an important organizational skill to cultivate and this is an interesting exploration of the specific challenges involved in finding data professionals. Missing data? Start trusting your data with Monte Carlo today! Interview Introduction How did you get involved in the area of data management?

Data Warehouse 100

Data Warehouse Data Lake BI Business Intelligence 100

Data Engineering Podcast

SEPTEMBER 4, 2022

In this episode founders Barr Moses and Lior Gavish rejoin the show to reflect on the evolution and adoption of data observability technologies and the capabilities that are being introduced as the broader ecosystem adopts the practices. RudderStack helps you build a customer data platform on your warehouse or data lake.

IT 100

IT Metadata MongoDB MySQL 100

Data Engineering Podcast

OCTOBER 9, 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.

Metadata 100

Metadata AWS MongoDB MySQL 100

Data Engineering Podcast

DECEMBER 21, 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 Governance 130

Data Governance Government Data Lake Banking 130

Knowledge Hut

DECEMBER 29, 2023

There are many data science fields in which experts may contribute to the success of a business, and you can hone the abilities you need by specializing in data science subfields. Data Engineering and Warehousing The data is the lifeblood of every successful Data Science endeavor.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Data Engineering Podcast

JANUARY 1, 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?

Data Warehouse 100

Data Warehouse Data Lake SQL Hadoop 100

Data Engineering Podcast

DECEMBER 19, 2021

In this episode Pardhu Gunnam and Mars Lan explain how they have designed the architecture and user experience to allow everyone to collaborate on the data lifecycle and provide opportunities for automation and extensible workflows. Missing data? Start trusting your data with Monte Carlo today! Struggling with broken pipelines?

Systems 100

Systems Building Metadata Data Warehouse 100

Data Engineering Podcast

NOVEMBER 10, 2021

Summary A significant source of friction and wasted effort in building and integrating data management systems is the fragmentation of metadata across various tools. Missing data? Start trusting your data with Monte Carlo today! This is an ambitious and exciting project, so listen and try it out today. Stale dashboards?

Metadata 100

Metadata Data Warehouse Data Lake BI 100

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. A visualization of the flow of data in data lakehouse architecture vs. data warehouse and data lake.

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. A visualization of the flow of data in data lakehouse architecture vs. data warehouse and data lake.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Data Engineering Podcast

NOVEMBER 20, 2021

In this episode he shares the journey that he and his team at Elementl have taken to understand the state of the ecosystem and how they can provide a foundational layer for a holistic data platform. Missing data? Start trusting your data with Monte Carlo today! Struggling with broken pipelines? Stale dashboards?

Data Warehouse 100

Data Warehouse Data Lake BI Business Intelligence 100

Data Engineering Podcast

JANUARY 4, 2021

Summary As more organizations are gaining experience with data management and incorporating analytics into their decision making, their next move is to adopt machine learning. Monte Carlo’s end-to-end Data Observability Platform monitors and alerts for data issues across your data warehouses, data lakes, ETL, and business intelligence.

Python 100

Python Machine Learning Data Lake Computer Science 100

Data Engineering Podcast

JANUARY 11, 2021

This is a fascinating conversation on the technical challenges involved, the opportunities that such as system provides, and the complexities inherent to building a successful business on open source. There are a number of different reasons and methods for versioning data, such as the work being done with Datomic, LakeFS, DVC, etc.

PostgreSQL 100

PostgreSQL Python Data Lake Computer Science 100

Knowledge Hut

DECEMBER 26, 2023

Business Intelligence Business Intelligence is an intrinsic element of modern business. By referring to the following books, you will learn about various BI tools and operations like creating reports, tracking performance, managing data sources, etc.

Data Science 52

Data Science Scala Programming Language R (Programming) 52

Data Engineering Podcast

MAY 18, 2024

Summary The purpose of business intelligence systems is to allow anyone in the business to access and decode data to help them make informed decisions. The team at Zenlytic have leaned on the promise of large language models to build an AI agent that lets you converse with your data.

Building 278

Building Data Lake High Quality Data Business Intelligence 278

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

MAY 19, 2019

In this episode Drew Banin, creator of dbt, explains how it got started, how it is designed, and how you can start using it today to create reliable and well-tested reports in your favorite data warehouse. We have partnered with organizations such as O’Reilly Media, Dataversity, and the Open Data Science Conference.

Data Analytics 100

Data Analytics Building Engineering Data Warehouse 100

Monte Carlo

JUNE 28, 2022

To help organizations realize the full potential of their data lake and lakehouse investments, Monte Carlo, the data observability leader, is proud to announce integrations with Delta Lake and Databricks’ Unity Catalog for full data observability coverage. billion in 2020 to 17.60 billion in 2020 to 17.60

Data Lake 52

Data Lake Metadata AWS Data Warehouse 52

Data Engineering Podcast

APRIL 16, 2023

In this episode Paul Blankley and Ryan Janssen explore the power of natural language driven data exploration combined with semantic modeling that enables an intuitive way for everyone in the business to access the data that they need to succeed in their work. Business intelligence is a crowded market.

Business Intelligence 147

Business Intelligence Building Data Lake BI 147

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. vs. What does a Data Engineer do? Are you a Data Scientist or a Data Engineer? Is data engineering more important than data science?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

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

Data Science Blog: Data Engineering

SEPTEMBER 24, 2021

Data Warehousing is applied Big Data Management and a key success factor in almost every company. Without a data warehouse, no company today can control its processes and make the right decisions on a strategic level as there would be a lack of data transparency for all decision makers.

Data Lake 52

Data Lake Data Warehouse Data Transparency Database 52

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

OCTOBER 6, 2021

The benefits it offers start from data management and manipulation to machine learning tools on the GCP platform. GCP offers 90 services that span computation, storage, databases, networking, operations, development, data analytics , machine learning , and artificial intelligence , to name a few.

Google Cloud 52

Google Cloud Project Data Lake Healthcare 52

Ascend.io

JANUARY 3, 2023

Here are some examples: The former United States Chief Data Scientist, DJ Patil, defined them in his book Data Jujitsu: The Art of Turning Data into Product as “a product that facilitates an end goal through the use of data”. Each widget on a dashboard can display a specific data product.

Data 52

Data Data Lake Business Intelligence Big Data 52

Data Engineering Podcast

FEBRUARY 5, 2023

In that time there have been a number of generational shifts in how data engineering is done. Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? In that time there have been a number of generational shifts in how data engineering is done.

Data Engineering 147

Data Engineering Data Engineer Engineering PostgreSQL 147

ProjectPro

DECEMBER 7, 2021

Generally, data pipelines are created to store data in a data warehouse or data lake or provide information directly to the machine learning model development. Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. Contents: What is the role of an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Rockset

JANUARY 3, 2023

To expand the reach of streaming data in organizations requires an investment in education and training. Working with streaming data has, until this point, been a job relegated to “big data engineers” with years of experience managing complex, distributed data systems.

Data Warehouse 52

Data Warehouse Education Database Data 52