Data Engineering Podcast

AUGUST 6, 2022

Summary The optimal format for storage and retrieval of data is dependent on how it is going to be used. For analytical systems there are decades of investment in data warehouses and various modeling techniques. Data stacks are becoming more and more complex.

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Knowledge Hut

MARCH 28, 2024

Data science has become one of the most trending fields today. Data engineering is one of them. According to AnalytixLabs , the data science market is expected to be worth USD 230.80 This demonstrates the increasing need for Microsoft Certified Data Engineers. That’s where data engineers are on the go.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Data Engineering Podcast

JULY 10, 2022

Summary Building a data platform is a journey, not a destination. Beyond the work of assembling a set of technologies and building integrations across them, there is also the work of growing and organizing a team that can support and benefit from that platform. Atlan is the metadata hub for your data ecosystem.

Metadata 100

Metadata MongoDB MySQL Data Pipeline 100

Knowledge Hut

NOVEMBER 2, 2023

Azure Data engineering projects are complicated and require careful planning and effective team participation for a successful completion. While many technologies are available to help data engineers streamline their workflows and guarantee that each aspect meets its objectives, ensuring that everything works properly takes time.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

APRIL 25, 2023

The tremendous growth in data generation, then the rise in data engineer jobs - there’s no arguing the fact that the big data industry is at its best pace and you, as an aspiring data engineer, have a lot to learn and make out of it - including some tools! What are Data Engineering Tools?

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

ProjectPro

FEBRUARY 21, 2023

Cloudera or Databricks? With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? The answer is- by earning professional data engineering certifications!

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Scribd Technology

APRIL 27, 2022

We are very excited to be presenting and attending this year’s Data and AI Summit which will be hosted virtually and physically in San Francisco from June 27th-30th. We are also expecting some great ML related talks as data and ML begin to overlap more and more. We hope to see you there!

Kafka 40

Kafka Data Lake Machine Learning Data 40

Data Engineering Podcast

DECEMBER 30, 2019

In order to support their customers, they need to capture, process, and analyze massive amounts of timeseries data with a high degree of uptime and reliability. And for your machine learning workloads, they just announced dedicated CPU instances. And don’t forget to thank them for their continued support of this show!

Process 100

Process Building Hadoop Java 100

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. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases. What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Big Data Tools

JULY 13, 2022

I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. By the way, if you would prefer to get this monthly source of data engineering information delivered straight to your inbox each month, you can subscribe to the newsletter here.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JULY 13, 2022

I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. By the way, if you would prefer to get this monthly source of data engineering information delivered straight to your inbox each month, you can subscribe to the newsletter here.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Precisely

JUNE 2, 2023

Innovators in the industry understand that leading-edge technologies such as AI and machine learning will be a deciding factor in the quest for competitive advantage when moving to the cloud. To learn more, read our ebook. It requires a carefully considered approach to data integration and data integrity.

Cloud 52

Cloud Insurance Data Integration Portfolio 52

dbt Developer Hub

AUGUST 2, 2023

on these following adapters: dbt-postgres dbt-redshift dbt-snowflake dbt-databricks dbt-materialize* dbt-trino* dbt-bigquery** *These adapters have supported materialized views in their adapter prior 1.6. Due to those features, they are also more aligned with what other data platforms are calling Materialized Views.

Datasets 52

Datasets Kafka SQL Cloud 52

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

Striim

NOVEMBER 30, 2022

Businesses of all scales and industries have access to increasingly large amounts of data, which need to be harnessed effectively. According to an IDG Market Pulse survey , companies collect data from 400 sources on average. However, fragmented data can slow down the delivery of great product experiences and internal operations.

AWS 52

AWS Cloud Management Google Cloud 52

Rockset

AUGUST 11, 2022

I had the pleasure of recently hosting a data engineering expert discussion on a topic that I know many of you are wrestling with – when to deploy batch or streaming data in your organization’s data stack. Andreas also produces the well-known ‘Plumbers of Data Science’ blog and podcast , as well as a YouTube channel.

Bytes 52

Bytes Consulting Kafka MongoDB 52

Knowledge Hut

SEPTEMBER 26, 2023

Organisations are constantly looking for robust and effective platforms to manage and derive value from their data in the constantly changing landscape of data analytics and processing. The Microsoft Azure Synapse and Databricks platforms are two strong competitors in this space. What is Azure?

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Scott Logic

NOVEMBER 6, 2023

In this post we’ll take a whistle-stop tour around the topic of data, going from sources and types through to use cases and the technologies involved in processing data. Introduction Over the last decade we’ve heard more and more about data.

Data Lake 52

Data Lake Kafka BI Unstructured Data 52

ProjectPro

NOVEMBER 14, 2015

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. Data Migration 2.

Hadoop 52

Hadoop Project Big Data Healthcare 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. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

AUGUST 24, 2021

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? For beginners or peeps who are utterly new to the data industry, Data Scientist is likely to be the first job title they come across, and the perks of being one usually make them go crazy.

Data Engineering 52

Data Engineering Data Engineer Coding Project 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? Why is data pipeline architecture important?

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Cloudera

JUNE 9, 2022

In the first blog of the Universal Data Distribution blog series , we discussed the emerging need within enterprise organizations to take control of their data flows. controlling distribution while also allowing the freedom and flexibility to deliver the data to different services is more critical than ever. .

Data Collection 89

Data Collection Data Lake Unstructured Data Retail 89

Data Engineering Weekly

JANUARY 29, 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. link] Sponsored: Upsolver - Write a SQL Query, Get a Data-in-Motion Pipeline!

Data Engineering 52

Data Engineering Data Engineer Engineering Deep Learning 52

Knowledge Hut

NOVEMBER 19, 2023

One of the most important responsibilities for experts in big data is configuring the cloud to store data and provide high availability. As a result, data engineers working with big data today require a basic grasp of cloud computing platforms and tools. What Are Azure Data Engineer Tools?

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

ProjectPro

FEBRUARY 18, 2022

The big data analytics market is expected to grow at a CAGR of 13.2 This indicates that more businesses will adopt the tools and methodologies useful in big data analytics, including implementing the ETL pipeline. Let us now understand why the ETL pipelines hold such great value in Data Science and Analytics. billion in 2028.

Project 52

Project AWS Kafka Healthcare 52

Towards Data Science

FEBRUARY 9, 2024

How to build a modern, scalable data platform to power your analytics and data science projects (updated) Table of Contents: What’s changed? The Platform Integration Data Store Transformation Orchestration Presentation Transportation Observability Closing What’s changed? Over the last three years, my life has changed as well.

Building 82

Building Transportation Data Lake Metadata 82

ProjectPro

JANUARY 19, 2022

Planning to land a successful job as an Azure Data Engineer? Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

AltexSoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. What is Apache Spark?

Big Data 52

Big Data Data Process Process Hadoop 52

ProjectPro

DECEMBER 28, 2021

The digital economy is driven by data disrupting industries across the globe with increasing number of companies wanting to glean valuable insights from real-time data. Allied Market Research estimated the global big data and business analytics market to be valued at $198.08 billion by 2030.

Architecture 52

Architecture Kafka Java Scala 52

phData: Data Engineering

JANUARY 3, 2022

What is Data Engineering? Everything You Need to Know in 2022 Nick Goble January 4, 2022 It’s easy to overlook the amount of data that’s being generated every day — from your smartphone, your Zoom calls, to your Wi-Fi-connected dishwasher. Table of Contents What is Data Engineering What is Data Governance?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

AltexSoft

NOVEMBER 10, 2021

Well, there’s a new phenomenon in data management that received the name of a data lakehouse. 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?

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

ProjectPro

NOVEMBER 30, 2021

If you are into Data Science or Big Data, you must be familiar with an ETL pipeline. This guide provides definitions, a step-by-step tutorial, and a few best practices to help you understand ETL pipelines and how they differ from data pipelines. How do we transform this data to get valuable insights from it?

Process 52

Process Data Pipeline Data Warehouse AWS 52

ProjectPro

NOVEMBER 15, 2021

” From month-long open-source contribution programs for students to recruiters preferring candidates based on their contribution to open-source projects or tech-giants deploying open-source software in their organization, open-source projects have successfully set their mark in the industry.

Big Data 52

Big Data Project Metadata Programming Language 52

phData: Data Engineering

JANUARY 3, 2022

DataOps: What Is It, Core Principles, and Tools For Implementation Nick Goble January 3, 2022 When building a successful company, it’s critical to have a strategy around how you build and scale your business from a technology and data perspective. Table of Contents How Impactful is Your Data? What’s Data Strategy?

IT 52

IT AWS Software Engineer Software Engineering 52

ProjectPro

NOVEMBER 22, 2021

According to the Businesswire report , the worldwide big data as a service market is estimated to grow at a CAGR of 36.9% from 2019 to 2026, reaching $61.42 This clearly indicates that the need for Big Data Engineers and Specialists would surge in the future years. billion by 2026. sports activities).

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry. Why is Data Engineering In Demand?

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40