Data Engineering Podcast

MARCH 22, 2021

It builds your customer data warehouse and your identity graph on your data warehouse, with support for Snowflake, Google BigQuery, Amazon Redshift, and more. Summary The world of business is becoming increasingly dependent on information that is accurate up to the minute.

Data Warehouse 100

Data Warehouse Metadata Data Lake Hadoop 100

Data Engineering Podcast

MAY 19, 2019

And for your machine learning workloads, they just announced dedicated CPU instances. You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data management.

Data Analytics 100

Data Analytics Building Engineering Data Warehouse 100

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. Databricks Data Catalog and AWS Lake Formation are examples in this vein.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

ProjectPro

JANUARY 19, 2022

Explore this page further and learn everything about data engineers to find the answer. Furthermore, we will also lay out a learning path on how to become a data engineer that will help one explore this exciting domain. What is the precise reason behind it? That needs to be done because raw data is painful to read and work with.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Data Engineering Podcast

MAY 14, 2023

Snowflake/BigQuery/Redshift data modeling dimensional modeling vs. answering today's questions What are the most interesting, unexpected, or challenging lessons that you have learned while working on your data platform? The Machine Learning Podcast helps you go from idea to production with machine learning.

Data Lake 147

Data Lake Machine Learning Data Warehouse AWS 147

Knowledge Hut

SEPTEMBER 25, 2023

The following are some major advantages of obtaining a certification in data analytics: Helps you learn the latest skills and technologies: Data analytics is an evolving field, and analysts' methods and strategies can quickly change. In today's digital age, data is the lifeblood of any successful business.

Certification 52

Certification Business Analyst Big Data Data Analysis 52

Databand.ai

DECEMBER 13, 2022

Whether you’re a data engineering pro looking to stay up to date on the latest trends or new to the space and want to learn more, following the right leaders and joining the right conversations can make all the difference when it comes to plugging into the data engineering community. You’ve come to the right place.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Christophe Blefari

JUNE 24, 2023

Iceberg in the clouds — Last week BigQuery announced Iceberg support in GA. ( credits ) Hey, this is the Data News. It's super hard to change habits, but it's how it is, the newsletter is going out on Saturday. I hope this edition finds you well. We'll be writing models moderating generative models.

PostgreSQL 130

PostgreSQL Data Data Engineering Data Engineer 130

Towards Data Science

MARCH 5, 2024

Make the most out of your BigQuery usage, burn data rather than money to create real value with some practical techniques. · ? BigQuery basics and understanding costs ∘ Storage ∘ Compute · ? In this article, we will unravel the arts of BigQuery sorcery, to reduce costs while increasing efficiency, and beyond. Introduction · ?

Bytes 72

Bytes Google Cloud Cloud Storage Utilities 72

ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. Most of us have observed that data scientist is usually labeled the hottest job of the 21st century, but is it the only most desirable job?

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Data Engineering Podcast

SEPTEMBER 1, 2021

In this episode Dipti Borkar discusses the work that she and her team are doing at Ahana to simplify the work of running your own PrestoDB environment in the cloud. With their managed Kubernetes platform it’s now even easier to deploy and scale your workflows, or try out the latest Helm charts from tools like Pulsar and Pachyderm.

Data Lake 100

Data Lake Cloud AWS SQL 100

Data Engineering Podcast

JUNE 16, 2019

Delta Lake is an open source, opinionated framework built on top of Spark for interacting with and maintaining data lake platforms that incorporates the lessons learned at DataBricks from countless customer use cases. And for your machine learning workloads, they just announced dedicated CPU instances.

Data Lake 100

Data Lake Lambda Architecture Data Warehouse Hadoop 100

Monte Carlo

AUGUST 25, 2023

Some of the well-known players in the data warehouse sphere include Amazon Redshift, Google BigQuery, and Snowflake. Exploring data lakes A data lake is a reservoir designed to handle both structured and unstructured data, frequently employed for streaming, machine learning, or data science scenarios. Let’s dive in.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Databand.ai

AUGUST 30, 2023

Learn more in our detailed guide to DataOps architecture (coming soon) Key Features of DataOps Tools DataOps tools come with a variety of features designed to optimize and streamline data processes. These tools provide a common platform for these teams to work together, share insights, and make collective decisions.

Data Cleanse 52

Data Cleanse Data Pipeline Data Ingestion Data Validation 52

AltexSoft

JULY 29, 2022

What does it take to store all New York Times articles published between 1855 and 1922? 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. Source: The Wall Street Journal.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Monte Carlo

NOVEMBER 14, 2023

No “Oops, wrong format.” Just smooth, seamless operations. This is the world that data orchestration tools aim to create. Data orchestration tools minimize manual intervention by automating the movement of data within data pipelines. According to one Redditor on r/dataengineering, “Seems like 99/100 data engineering jobs mention Airflow.”

Pipeline-centric 40

Pipeline-centric Google Cloud Data Workflow Python 40

Monte Carlo

JANUARY 25, 2023

In an evolving data landscape, the explosion of new tooling solutions—from cloud-based transforms to data observability —has made the question of “build versus buy” increasingly important for data leaders. Hint: it’s not a one-size-fits-all answer, but answering a few critical questions can help. Let’s jump in!

Data Warehouse 40

Data Warehouse Building Data Lake Data Storage 40

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio.

Big Data 52

Big Data Coding Project Hadoop 52

Monte Carlo

JANUARY 23, 2024

The speed of ETL and analytics has increased Maxime recalls a time, not too long ago, when data engineering would require running Hive jobs for hours at a time, frequent context switching between jobs and managing different elements of your data pipeline. Enter, the data engineer. What is a data engineer today? What do data engineers do?

Data Engineering 98

Data Engineering Data Engineer Engineering Data 98

Databand.ai

DECEMBER 20, 2022

She has nearly two decades of experience in data science and has personally trained over 20,000 Googlers in statistics, decision-making, and machine learning. Cassie is a popular keynote speaker and regularly leads and contributes to conversations on LinkedIn about AI, analytics, statistics, data science, and machine learning.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

AltexSoft

MARCH 14, 2023

Modern data stack tools are designed to integrate seamlessly with cloud data warehouses such as Redshift, Bigquery, and Snowflake, as well as data lakes or even the child of the first two — a data lakehouse. This development has paved the way for a suite of cloud-native data tools that are user-friendly, scalable, and affordable.

IT 59

IT Data Warehouse Data Governance Data Lake 59