Data Engineering Podcast

OCTOBER 21, 2019

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.

Cloud 100

Cloud Data Lake Hadoop Programming Language 100

Data Engineering Podcast

NOVEMBER 4, 2019

This is a great conversation to get an understanding of all of the incidental engineering that is necessary to make your data reliable. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! and Facebook, scaling from terabytes to petabytes of analytic data. Closing Announcements Thank you for listening!

Programming Language 100

Programming Language Kafka Media Data Engineering 100

Data Engineering Podcast

OCTOBER 14, 2019

In this episode CTO and co-founder of Dataform Lewis Hemens joins the show to explain his motivation for creating the platform and company, how it works under the covers, and how you can start using it today to get your data warehouse under control. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

Data Warehouse 100

Data Warehouse PostgreSQL AWS Programming Language 100

Data Engineering Podcast

MARCH 4, 2018

Your host is Tobias Macey and today I’m interviewing Roger Chen about data liquidity and its impact on our future economies Interview Introduction How did you get involved in the area of data management?

Raw Data 100

Raw Data Machine Learning Data Pipeline Data 100

Precisely

SEPTEMBER 8, 2023

According to a recent report on data integrity trends from Drexel University’s LeBow College of Business , 41% reported that data governance was a top priority for their data programs. Perhaps even more importantly, manual processes inevitably mean that employees have less time to spend on higher-value initiatives.

Data Governance 52

Data Governance Government Data Big Data 52

Knowledge Hut

DECEMBER 22, 2023

Statistics are important for analyzing and interpreting the data. Programming: There are many programming languages out there that were created for different purposes. Some offer great productivity and performance to process significant amounts of data, making them better suitable for data science.

Portfolio 98

Portfolio Data Science Programming Language Scala 98

ProjectPro

MARCH 7, 2016

Acquiring big data analytics certifications in specific big data technologies can help a candidate improve their possibilities of getting hired. It is necessary for individuals to bridge the wide gap between the academia big data programs and the industry practices.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

Precisely

SEPTEMBER 6, 2023

According to a recent report from Drexel University’s LeBow Center for Business Analytics , 77% of data and analytics professionals say that data-driven decision-making is an important goal of data programs. However, fewer than half of survey respondents rate their trust in data as “high” or “very high.”

Data Governance 52

Data Governance Big Data Government Unstructured Data 52

Precisely

JUNE 22, 2023

To deliver maximum benefits, these initiatives require an integrated, clean, accurate, contextualized, and enriched view of the data. Historically, data problems were addressed using point solutions that solve specific data challenges. Through multiple disciplines, we help financial services companies unlock business value.

Data Integration 52

Data Integration Banking Data Governance Government 52

Precisely

MAY 1, 2023

Naturally, we’re 100% focused on data, but we also take an intensely value-focused approach to our engagements. Precisely Strategic Services blends traditional management consulting with a deep understanding of data management technology tools. They understand how our clients think because they’ve been there.

Food 52

Food Consulting Pharmaceutical Manufacturing 52

Edureka

JANUARY 18, 2024

Explore real-world examples, emphasizing the importance of statistical thinking in designing experiments and drawing reliable conclusions from data. Programming A minimum of one programming language, such as Python, SQL, Scala, Java, or R, is required for the data science field.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

Ascend.io

NOVEMBER 14, 2023

Data Management: Data is the lifeblood of AI, and the CAIO develops the comprehensive data strategy that aligns the company’s data executives to fuel its AI initiatives. The CAIO is the vanguard of data privacy and security for the new AI-based capabilities.

Pipeline-centric 52

Pipeline-centric Government Data Pipeline Recruitment 52

AltexSoft

OCTOBER 30, 2021

ML models are designed by data scientists, but data engineers deploy those into production. They set up resources required by the model, create pipelines to connect them with data, manage computer resources, and monitor and configure the model’s performance. Managing data and metadata. Programming.

Data Engineering 98

Data Engineering Data Engineer Engineering Algorithm 98

Ascend.io

MAY 18, 2023

With these new tools and resources, companies could: Process and view their data in real-time Analyze much broader and deeper data sets Benefit from far better performance From a management and purchasing perspective, the cloud made infrastructure much easier. Why is the modern data stack so challenging?

Data Warehouse 52

Data Warehouse Data Pipeline Data Lake Data Engineering 52

ProjectPro

AUGUST 26, 2015

2005 - The tiny toy elephant Hadoop was developed by Doug Cutting and Mike Cafarella to handle the big data explosion from the web. million analysts and managers, 140,000 and 190,000 skilled professionals with deep analytical skills. Big data analysis played a crucial part in Obama’s 2012 re-election campaign.

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40

Precisely

JANUARY 23, 2024

According to a 2023 survey by Drexel University’s LeBow College of Business , 77% of data and analytics professionals say that data-driven decision-making is a leading goal for their data programs. Yet fewer than half rate their ability to trust the data used for decision-making as “high” or “very high.”

Technology 69

Technology Data Governance Government Data Integration 69

Knowledge Hut

DECEMBER 13, 2023

Big Data startups compete for market share with the blue-chip giants that dominate the business intelligence software market. This article will discuss the top big data consulting companies , big data marketing companies , big data management companies and the biggest data analytics companies in the world.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52

Precisely

SEPTEMBER 14, 2023

With the six components of sustainable compliance in mind, it becomes clear that compliance isn’t only a requirement – but an opportunity to optimize your data program and create operational efficiency and better risk management practices. understanding and managing customers and their data.

Data Integration 52

Data Integration Government Data Governance Programming 52