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 Hadoop Data Lake Programming Language 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

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 Data Engineering Data Engineer 100

Precisely

SEPTEMBER 18, 2024

And yet, only 12% of organizations report that their data is of sufficient quality and accessibility for effective AI implementation. What are the primary data challenges blocking the path to AI success? Data quality is the top data integrity challenge for 64% of organizations this year, up from 50% last year.

Data Integration 72

Data Integration Data Governance Government Data Programming 72

Precisely

NOVEMBER 18, 2024

With the surge of new tools, platforms, and data types, managing these systems effectively is an ongoing challenge. However, they require a strong data foundation to be effective. With the rise of cloud-based data management, many organizations face the challenge of accessing both on-premises and cloud-based data.

Data Analytics 59

Data Analytics Data Governance Government Data Integration 59

Precisely

SEPTEMBER 6, 2024

GDPR states that personal data must not be kept longer than the purpose for which it was collected and processed. Here are ten steps on how you can update your data privacy and data management practices, ensuring your organization’s compliance with GDPR’s retention policies in the collection of personal data.

Data Governance 64

Data Governance Government Consulting Data 64

Precisely

JUNE 26, 2023

The Importance of Data Integrity in Uncertain Times To better understand how businesses are adapting to the new normal, Precisely partnered with Drexel University’s LeBow College of Business to survey more than 450 data and analytics professionals from around the world about their current data programs and priorities.

Data Integration 52

Data Integration Data Cleanse Data Programming Data Governance 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

APRIL 25, 2024

So, I used the carrot of improving data quality, the lack of which had caused suffering in the business for a long time, to start getting my “ambassadors” on board. The creation of a BI skills center supporting a self-service approach also helped to motivate users to get on board with the Data program.

Data Governance 69

Data Governance Government Consulting BI 69

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 Machine Learning 98

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 Manufacturing Pharmaceutical 52

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

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

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

Knowledge Hut

MAY 9, 2024

Data Architect ScyllaDB Data architects play a crucial role in designing an organization's data management framework by assessing data sources and integrating them into a centralized plan.

Data Science 52

Data Science Data Architect Data Mining Programming Language 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 Machine Learning NoSQL 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 Technology Data Pipeline 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

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

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 BI 98

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

Precisely

DECEMBER 9, 2024

Data governance is a top data integrity challenge, cited by 54% of organizations second only to data quality (56%). The 2025 Outlook: Data Integrity Trends and Insights report is here! What are the latest data integrity trends you need to know about? How does your data program compare to your peers?

Data Governance 64

Data Governance Government Data Integration Architecture 64

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

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