Data Engineering Podcast

SEPTEMBER 7, 2020

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 platforms. Summary Databases are limited in scope to the information that they directly contain.

Architecture 100

Architecture Data Architecture SQL Engineering 100

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

ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. Whether you are just starting your career as a Data Engineer or looking to take the next step, this blog will walk you through the most valuable data engineering certifications and help you make an informed decision about which one to pursue.

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Certification Data Engineering Data Engineer Engineering 52

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

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

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.

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Data Lake Machine Learning Data Warehouse AWS 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. Want to see Starburst in action? Data projects are notoriously complex.

Data Lake 147

Data Lake High Quality Data NoSQL Data Warehouse 147

ProjectPro

FEBRUARY 18, 2022

This data warehouse is accessible to data analysts and scientists and helps them perform data science tasks like data visualization , statistical analysis, machine learning model creation, etc. The big data analytics market is expected to grow at a CAGR of 13.2 percent, reaching USD 549.73 billion in 2028.

Project 52

Project AWS Kafka Healthcare 52

ProjectPro

APRIL 8, 2015

” Image Credit: alliedmarketresearch.com Allied Market Research predicts that the “Hadoop-as-a-Service” market will grow to $50.2 billion by 2020. The Global Hadoop Market is anticipated to reach $8.74 billion by 2016, growing at a CAGR of 55.63 % from 2012–2016. Image Credit: randomramblings.postach.io

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40

Knowledge Hut

DECEMBER 29, 2023

Then the data engineers study this data to learn about different patterns that can help curate effective business strategies. Apache Hive It is a Hadoop-based data management and storage tool that allows data analytics through an SQL-like framework. The highlight features of Apache Hive are workload management and better security.

Data Engineering 40

Data Engineering Data Engineer Engineering BI 40

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

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

Data Engineering Podcast

APRIL 7, 2019

And for your machine learning workloads, they just announced dedicated CPU instances. Raghu Murthy founded DataCoral as a way to abstract the low level details of ETL so that you can focus on the actual problem that you are trying to solve. And don’t forget to thank them for their continued support of this show!

Data Pipeline 100

Data Pipeline Pipeline-centric Database-centric AWS 100

Airbnb Tech

APRIL 13, 2021

Though Airbnb’s cost data foundation is built with one cloud provider in mind, our learnings from building a pipeline, defining metrics, and designing visualizations apply regardless of the cloud provider. Apache Airflow , Apache Hive, Apache Spark ) and extensive analytics infrastructure (i.e.,

AWS 52

AWS Raw Data Amazon Web Services Cloud 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

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

JUNE 16, 2022

You’ll also learn the steps to build an AWS Data Pipeline. An AWS data pipeline helps businesses move and unify their data to support several data-driven initiatives. Generally, it consists of three key elements: a source, processing step(s), and destination to streamline movement across digital platforms.

Data Pipeline 59

Data Pipeline AWS Amazon Web Services Data Consolidation 59

Cloudera

DECEMBER 12, 2018

Greg Rahn: Toward the end of that eight-year stint, I saw this thing coming up called Hadoop and an engine called Hive. Hi Greg, thank you for joining us today. I would like to start off by asking you to tell us about your background and what kicked off your 20-year career in relational database technology? Michael Moreno: Nice!

Data Warehouse 41

Data Warehouse Relational Database Hadoop BI 41

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. Often they are used interchangeably but they are totally different on how the data is structured and processed.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

phData: Data Engineering

JANUARY 3, 2022

In order to do this, businesses have to employ people with specific skill sets tailored to data governance and strategy, such as data engineers, data scientists, and machine learning engineers. What Is A Machine Learning Engineer? What is Data Engineering? This is a 42.2% average annual growth over these two years. trillion yearly.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

ProjectPro

FEBRUARY 8, 2017

2017 will see a continuation of these big data trends as technology becomes smarter with the implementation of deep learning and AI by many organizations. Growing adoption of Artificial Intelligence, growth of IoT applications and increased adoption of machine learning will be the key to success for data-driven organizations in 2017.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

AltexSoft

NOVEMBER 10, 2021

This enables different teams to use a single system to access all of the enterprise data for a range of projects, including data science, machine learning, and business intelligence. Why are we talking about this in the first place? Well, there’s a new phenomenon in data management that received the name of a data lakehouse. Data warehouse.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

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

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.

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IT Data Warehouse Data Governance Data Lake 59