Towards Data Science

MAY 19, 2023

Data Entropy — More Data, More Problems? How to navigate and embrace complexity in a modern data organisation. Business users are unable to find and access data assets critical to their workflows. Data engineers spend countless hours troubleshooting broken pipelines. Do any of the below scenarios seem familiar?

Pipeline-centric 105

Pipeline-centric Data Software Engineer Software Engineering 105

Airbnb Tech

NOVEMBER 28, 2023

By: Clark Wright Introduction These days, as the volume of data collected by companies grows exponentially, we’re all realizing that more data is not always better. In fact, more data, especially if you can’t rely on its quality, can hinder a company by slowing down decision-making or causing poor decisions.

Data Warehouse 98

Data Warehouse Metadata Data Certification 98

Monte Carlo

APRIL 25, 2023

Struggling with data quality? When it comes to making your data more reliable at scale, there are a few routes you can take: (1) test your most critical pipelines and hope for the best, (2) automated data quality monitoring, (3) end-to-end data observability. Table of Contents What is data testing?

Data Pipeline 52

Data Pipeline Data Algorithm Metadata 52

Monte Carlo

APRIL 24, 2023

Struggling with data quality? When it comes to making your data more reliable at scale, there are a few routes you can take: (1) test your most critical pipelines and hope for the best, (2) automated data quality monitoring, (3) end-to-end data observability. Table of Contents What is data testing?

Data Pipeline 52

Data Pipeline Data Algorithm Metadata 52

Monte Carlo

NOVEMBER 30, 2022

Data leaders across industries are embracing data mesh. But the reason data teams want to better understand how to implement data mesh is because it solves genuine pain-points. Data mesh was the clear and logical framework that articulated this future state. How to implement data mesh webinar.

Data 52

Data Government Architecture Data Lake 52

ProjectPro

OCTOBER 20, 2021

With so many pseudo-data scientists cropping up due to numerous data science bootcamps and courses that offer theoretical learning, the interview questions for AI and machine learning jobs are getting streamlined to filter those who understand how real-world implementation works. Gartner is a market leader in market research.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

Zalando Engineering

APRIL 27, 2022

SLIs and SLOs are at the core of the SRE practices. Anyone who has been following the topic of Site Reliability Engineering (SRE) has likely heard of Service Level Objectives (SLOs) , and Service Level Indicators (SLIs). But they are not easy to get right. When we introduced SRE in Zalando back in 2016 we also introduced SLOs.

Architecture 52

Architecture Engineering Systems Algorithm 52

Monte Carlo

JANUARY 12, 2024

The concept of big data – complicated datasets that are too dense for traditional computing setups to deal with – is nothing new. But what is new, or still developing at least, is the extent to which data engineers can manage, data scientists can experiment, and data analysts can analyze this treasure trove of raw business insights.

Big Data 59

Big Data Data Analytics Data Science Data Lake 59

Monte Carlo

JUNE 17, 2022

As more companies invest in more data tools, initiatives, and teams, the appetite to become a “data-driven organization” continues to grow. So how can a team build a culture of data trust—especially within a complex environment? So how can a team build a culture of data trust—especially within a complex environment?

Building 52

Building Portfolio Data Recruitment 52

AltexSoft

MARCH 30, 2023

The answer is simple: They use the same technology to make the most of data. Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. The relatively new storage architecture powering Databricks is called a data lakehouse.

Scala 64

Scala Data Lake BI Google Cloud 64

Precisely

OCTOBER 12, 2023

Proactive business practices have always been nice to have, but recent years have shown us that nice-to-have proactivity has now blossomed into a necessity. Six Principles of Proactive Data Programs Over decades of working with customers in financial services, our team at Precisely has identified six key pillars of proactive data programs.

Banking 65

Banking Data Integration Data Governance Government 65

Precisely

SEPTEMBER 14, 2023

40% of data and analytics professionals report that their organizations have decreased staff/resources as a result of economic downturn, and 37% report a decrease in budget, according to the 2023 Data Integrity Insights and Trends Report , published in partnership between Precisely and Drexel University’s LeBow College of Business.

Data Integration 52

Data Integration Government Data Governance Programming 52