Analytics Vidhya

MAY 24, 2023

As modern companies rely on data, establishing dependable, effective solutions for maintaining that data is a top task for each organization. The complexity of information storage technologies increases exponentially with the growth of data. From physical hard drives to cloud computing, unravel the captivating world of data storage and recognize its ever-evolving role in our […] The post What is Data Storage and How is it Used?

Data Storage 179

Data Storage IT Cloud Computing Cloud 179

Waitingforcode

MAY 24, 2023

Apache Spark is infamous for its correctness issue for chained stateful operations. Fortunately things get improved in each release. The most recent one, the 3.4.0, also got some important changes on that field!

IT 130

IT 130

KDnuggets

MAY 24, 2023

When it's all said and done, and AI has been universally recognized as our rightful overlords, the idea of data science as a standalone field will have been but a blip on our collective radar.

Data Science 149

Data Science Data IT 149

Tweag

MAY 24, 2023

Tweagers have an engineering mantra — Functional. Typed. Immutable. — that begets composable software which can be reasoned about and avails itself to static analysis. These are all “good things” for building robust software, which inevitably lead us to using languages such as Haskell, OCaml and Rust. However, it would be remiss of us to snub languages that don’t enforce the same disciplines, but are nonetheless popular choices in industry.

Python 103

Python Programming Language Programming Coding 103

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science

KDnuggets

MAY 24, 2023

Generative AI has just started to capture the imagination of data engineers, so the impact thus far has been just a fraction of what it will be a year or two from now.

Data Engineering 109

Data Engineering Data Engineer Engineering Data 109

ArcGIS

MAY 24, 2023

Learn more about a suite of sample data management tools to enable, add, remove or disable media hyperlinks to feature classes in geodatabases.

Management 98

Management Media Data Management Data 98

databricks

MAY 24, 2023

Special thanks to EY's Mario Schlener, Wissem Bouraoui and Tarek Elguebaly for their support throughout this journey and their contributions to this blog.

Management 87

Management 87

ArcGIS

MAY 24, 2023

Learn how to port schematic diagrams created with ArcGIS Schematics to network diagrams from utility or trace networks using ArcGIS Pro

Utilities 91

Utilities Telecommunication Data Management Management 91

KDnuggets

MAY 24, 2023

Unleashing the Potential of Computer Vision with DINOv2: A Groundbreaking Self-Supervised Model by Meta AI.

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99

Edureka

MAY 24, 2023

Introduction to Data Structures and Algorithms Data Structures and Algorithms are two of the most important coding concepts you need to learn if you want to build a bright career in Development. Majority of the top tech companies across the globe when hiring for Software Developers look for the candidate’s proficiency in Data Structures and Algorithms.

Algorithm 72

Algorithm Programming Language Java Programming 72

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Engineering

ArcGIS

MAY 24, 2023

Learn how tasks in ArcGIS Pro help standardize and share workflows across your organization.

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82

Snowflake

MAY 24, 2023

Comments

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127

Hevo

MAY 24, 2023

Data drives the business world, and a significant amount of that data is unstructured. This implies that traditional relational databases can not cater to the needs of organizations seeking to store and manipulate this unstructured data. Companies are therefore relying on NoSQL Databases to manage their growing consumption and generation of everyday data.

NoSQL 52

NoSQL Unstructured Data Relational Database Database 52

Uber Engineering

MAY 24, 2023

This blog post unveils the seamless, exabyte-scale integration of local SSD disks into the Hadoop Distributed File System (HDFS), enabling the utilization of high-density disk SKUs to optimize disk IO and achieving exceptional performance.

Hadoop 52

Hadoop Utilities Systems Data 52

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Building

Precisely

MAY 24, 2023

Environmental, Social, and Governance (ESG) reporting is a hot topic. Organizations are rising to meet the challenge, due in part to increased board level scrutiny, but also because of heightened regulatory attention on environmental stewardship and social responsibility metrics. In fact, a recent survey by PwC found that 70% of companies intend to start complying with upcoming U.S.

Data Integration 52

Data Integration Government Data Collection Consulting 52

Ascend.io

MAY 24, 2023

This article is based on a presentation given by Sarwat Fatima , Principal Data Engineer at Biome Analytics, at the Data Pipeline Automation Summit 2023. With more than eight years of experience in diverse industries, Sarwat has spent the last four building over 20 data pipelines in both Python and PySpark with hundreds of lines of code. The information presented here is a summary of her insights and experiences.

Healthcare 52

Healthcare Data Pipeline Hospitality Datasets 52

Snowflake

MAY 24, 2023

After 30 years of working in tech across Asia, I’ve seen a lot of ups and downs in these markets. Not long ago, I wrote a blog about what US and European software companies can do to ensure their success when opening for business in the region. Now, as the US wavers between higher inflation and recession, the war in Ukraine enters its second year, and the impact of Covid is still being felt by most industries, it seems like the right time to write about the challenges those markets are facing, a

Data Warehouse 52

Data Warehouse Cloud Data Lake Technology 52