Knowledge Hut

APRIL 25, 2024

Big data in information technology is used to improve operations, provide better customer service, develop customized marketing campaigns, and take other actions to increase revenue and profits. In the world of technology, things are always changing. In this blog post, we will discuss such technologies.

Big Data 98

Big Data Technology Hadoop NoSQL 98

LinkedIn Engineering

OCTOBER 5, 2023

The magic in search happens because of the technology that powers it. And one of the key technologies behind LinkedIn's search and recommendation features is embedding based retrieval (EBR). LinkedIn is on the forefront of leveraging EBR technology to revolutionize the way we approach search and recommendation systems.

IT 133

IT Metadata Designing Cloud 133

Data Engineering Podcast

MAY 18, 2024

Summary The purpose of business intelligence systems is to allow anyone in the business to access and decode data to help them make informed decisions. Contact Info Ryan LinkedIn Paul LinkedIn Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Building 278

Building Data Lake High Quality Data Business Intelligence 278

Knowledge Hut

MARCH 22, 2024

I have comprehensively analyzed the area of physical security, particularly the ongoing discussion surrounding fail safe vs fail-safe secure electric strike locking systems. On the other hand, fail-secure systems focus on maintaining continuous security, keeping doors locked even in difficult conditions to protect assets.

Systems 105

Systems Electronics Hospitality Architecture 105

Analytics Vidhya

MARCH 5, 2023

Introduction Microsoft Azure HDInsight(or Microsoft HDFS) is a cloud-based Hadoop Distributed File System version. A distributed file system runs on commodity hardware and manages massive data collections. It is a fully managed cloud-based environment for analyzing and processing enormous volumes of data.

Hadoop 246

Hadoop Data Collection Cloud Technology 246

Knowledge Hut

MAY 6, 2024

Applying systems thinking views a system as a set of interconnected and interdependent components defined by its limits and more than the sum of their parts (subsystems). When one component of a system is altered, the effects frequently spread across the entire system. are the main objectives of systems thinking.

Systems 98

Systems Transportation Certification Healthcare 98

Knowledge Hut

APRIL 19, 2024

In 2024, the spending in the information technology sector across India was above 112.55 India's information technology (IT) sector is expected to rise to USD 227 billion in FY22, with a 15.5 Cognizant offers outsourcing, information technology, and business consulting services and employs over 3.3 billion U.S.

IT 98

IT Consulting Cloud Computing Telecommunication 98

Data Engineering Podcast

FEBRUARY 18, 2024

What are the pain points that are still prevalent in lakehouse architectures as compared to warehouse or vertically integrated systems? Contact Info LinkedIn dain on GitHub Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

Engineering at Meta

DECEMBER 10, 2024

Were explaining the end-to-end systems the Facebook app leverages to deliver relevant content to people. At Facebooks scale, the systems built to support and overcome these challenges require extensive trade-off analyses, focused optimizations, and architecture built to allow our engineers to push for the same user and business outcomes.

Systems 72

Systems Architecture Engineering Data Pipeline 72

The Pragmatic Engineer

SEPTEMBER 19, 2024

In the early 90’s, DOS programs like the ones my company made had its own Text UI screen rendering system. This rendering system was easy for me to understand, even on day one. Our rendering system was very memory inefficient, but that could be fixed. By doing so, I got to see every screen of the system.

Recruitment 233

Recruitment Java Coding Project 233

Snowflake

AUGUST 1, 2024

Contextual AI provides an all-in-one RAG solution A typical RAG system combines a vector database, embedding models and other components that must be engineered and integrated together. technology seamlessly integrates retrieval and generation to deliver unmatched accuracy for RAG workloads without any additional, error-prone system tuning.

Cloud 103

Cloud IT Technology Government 103

Knowledge Hut

MAY 2, 2024

Solutions: Using communication tools with better technologies like instant messengers, chat windows etc Keep such windows always open on your desktop or set a pop-up or sound alert While allocating a project to remote teams, clear all possible doubts and make sure there is little space for any confusions 2. What is working remotely?

IT 98

IT Management Project Building 98

Cloudera

NOVEMBER 1, 2024

It also provided a moment for us to launch an important initiative for Cloudera: our Women Leaders in Technology (WLIT) initiative. Building Inclusive Data-Driven Organizations: Leadership Strategies for the Modern Workplace As it stands, women currently account for approximately 25% of the technology workforce.

Technology 94

Technology Recruitment Banking AWS 94

Jesse Anderson

OCTOBER 5, 2023

Data quality problems are solved by more than just technology. Data products need to be exposed with the right technologies for the various use cases. In another post , I introduced a concept from Justin Coffey about how much systems can be changed from their original design. Kafka isn’t for everyone and everything.

Kafka 195

Kafka Finance Cloud Designing 195

Data Engineering Podcast

DECEMBER 24, 2023

Summary Kafka has become a ubiquitous technology, offering a simple method for coordinating events and data across different systems. Contact Info LinkedIn Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? When is Kafka the wrong choice?

Kafka 245

Kafka Data Lake High Quality Data SQL 245

Snowflake

MARCH 14, 2024

Changes to SAP’s warehousing strategy over time mean many customers may need to patch together and manage multiple technologies to extract data in a useful format. Glue provides a simple, direct way for organizations with SAP systems to quickly and securely ingest SAP data into Snowflake. Try SNP Glue Connector for SAP: Get it now!

IT 98

IT Data Ingestion Data AWS 98

Knowledge Hut

MAY 22, 2024

The CIA Triad is a common prototype that constructs the basis for the development of security systems. The objective of the triad is to help institutions construct their security strategy and develop policies and controls while also conforming as a foundational starting point for any unknown use cases, products, and technologies.

IT 98

IT Banking Healthcare Finance 98

The Pragmatic Engineer

SEPTEMBER 22, 2023

There are people whose company pays them to maintain Node for their own, company systems — such as IBM paying to maintain Node so that it stays compatible with IBM AIX — a proprietary Unix operating system designed to run on IBM® Power® servers. Many developers are giving Bun a go. But how is Bun so fast?

Programming Language 254

Programming Language Project Coding Engineering 254

Knowledge Hut

MAY 2, 2024

It means a computer or a system designed with machine learning will identify, analyse and change accordingly and give the expected output when it comes across a new pattern of data, without any need of humans. Doesn’t this piece of information gives you a glimpse of the wondrous possibilities of machine learning and its potential uses?

Machine Learning 98

Machine Learning IT Deep Learning Algorithm 98

The Pragmatic Engineer

APRIL 19, 2023

When I think back on the software engineers I looked up to, they all shared this trait where they never took anything at face value. They regularly questioned statements that did not make sense to them, no matter how small the topic was: even if it involved admitting they did not understand a concept. This person explained it. Or does it?

Software Engineer 294

Software Engineer Software Engineering Engineering Media 294

Data Engineering Podcast

APRIL 21, 2024

Summary Generative AI has rapidly transformed everything in the technology sector. How do you manage the personalization of the AI functionality in your system for each user/team? Contact Info LinkedIn Blog Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Data Lake 182

Data Lake High Quality Data Data Pipeline Machine Learning 182

The Pragmatic Engineer

MAY 11, 2023

A quick summary of these technologies: Prometheus : a time series database. A very popular open-source solution for systems and services monitoring. The internet has been speculating the past few days on which crypto company spent $65M on Datadog in 2022. I confirmed it was Coinbase, and here are the details of what happened.

AWS 318

AWS Software Engineer Software Engineering Google Cloud 318

The Pragmatic Engineer

OCTOBER 10, 2023

We don’t frequently have CEOs on The Pragmatic Engineer: in fact, today is the first issue when we’re talking with a CEO – partially – about their CEO job. I’ve always wondered what it would be like to go from a developer, to eventually become the CEO of a large and growing company.

Software Engineer 268

Software Engineer Software Engineering Architecture Media 268

Data Engineering Podcast

SEPTEMBER 10, 2023

Summary Data systems are inherently complex and often require integration of multiple technologies. In this episode Nick Schrock, creator of Dagster, shares his perspective on the state of data orchestration technology and its application to help inform its implementation in your environment.

BI 208

BI SQL Machine Learning Data 208

The Pragmatic Engineer

AUGUST 1, 2023

Senior engineers are expected to tackle problems where the business problem (or customer case) is well defined, but the technology strategy is not. Wise Wise – formerly Transferwise – is a publicly traded Fintech, valued at $6.5B at time of publication. The company employs more than 5,000 people in 17 countries. A lead role.

Software Engineer 245

Software Engineer Software Engineering Engineering Designing 245

Data Engineering Podcast

FEBRUARY 4, 2024

Summary Stream processing systems have long been built with a code-first design, adding SQL as a layer on top of the existing framework. There are numerous stream processing engines, near-real-time database engines, streaming SQL systems, etc. Dagster offers a new approach to building and running data platforms and data pipelines.

SQL 173

SQL Data Lake High Quality Data Data Pipeline 173

The Pragmatic Engineer

MARCH 19, 2024

A first, smaller wave of these stories included Magic.dev raising $100M in funding from Nat Friedman (CEO of GitHub from 2018-2021,) and Daniel Gross (cofounder of search engine Cue which Apple acquired in 2013,) to build a “superhuman software engineer.” Clearly, this would generate a handsome return for investors and founders.

Software Engineering 275

Software Engineering Software Engineer Programming Language Media 275

Data Engineering Podcast

MAY 21, 2023

The batch world has been the default for years because of the complexities of running a reliable streaming system at scale. In this episode David Yaffe and Johnny Graettinger share the story behind the business and technology and how you can start using it today to build a real-time data lake without all of the headache.

Data Lake 162

Data Lake Machine Learning Kafka Data Warehouse 162

Data Engineering Podcast

MARCH 3, 2024

Summary Artificial intelligence technologies promise to revolutionize business and produce new sources of value. What are the skills and systems that need to be in place to effectively execute on an AI program? "AI" has grown to be an even more overloaded term than it already was. When is AI the wrong choice?

Programming 162

Programming Data Lake High Quality Data Data Pipeline 162

Data Engineering Podcast

APRIL 7, 2024

In order to enable this use case, while maintaining a single point of access, the semantic layer has evolved as a technological solution to the problem. What are the benefits of having a discrete service that offers the business metrics/semantic mappings as opposed to implementing those concepts as part of a more general system?

Data Lake 162

Data Lake High Quality Data BI Data Workflow 162

Data Engineering Podcast

JUNE 9, 2024

To address this shortcoming Datorios created an observability platform for Flink that brings visibility to the internals of this popular stream processing system. How have the requirements of generative AI shifted the demand for streaming data systems? What role does Flink play in the architecture of generative AI systems?

Process 147

Process Data Lake High Quality Data Machine Learning 147

Data Engineering Weekly

DECEMBER 28, 2024

Investment in an Agent Management System (AMS) is crucial, as it offers a framework for scaling, monitoring, and refining AI agents. AI engineers, in particular, will find their skills in high demand as they navigate managing and optimizing agents to ensure reliability within enterprise systems.

Unstructured Data 110

Unstructured Data Metadata Data Government 110

Data Engineering Podcast

OCTOBER 29, 2023

When a team is selecting a database technology for a given task, what are the types of questions that they should be asking? What is driving the broad adoption of columnar stores as a separate environment from transactional systems? When building analytical systems there are numerous moving parts with intricate dependencies.

Database 189

Database BI SQL Machine Learning 189

Cloudera

DECEMBER 18, 2024

To amplify and support women’s voices, Cloudera has introduced the Women Leaders in Technology Initiative. Ive been fortunate to work with some of the most transformative brands in the technology industry. Its no secret that women have long been underrepresented in the tech space. In a recent study , women made up just 27.6%

Technology 66

Technology Insurance Banking Programming 66

Data Engineering Podcast

JUNE 30, 2024

Petr shares his journey from being an engineer to founding Synq, emphasizing the importance of treating data systems with the same rigor as engineering systems. He discusses the challenges and solutions in data reliability, including the need for transparency and ownership in data systems.

Pipeline-centric 147

Pipeline-centric Engineering Data Lake High Quality Data 147

Data Engineering Podcast

JUNE 2, 2024

Summary Modern businesses aspire to be data driven, and technologists enjoy working through the challenge of building data systems to support that goal. Nicola Askham found her way into data governance by accident, and stayed because of the benefit that she was able to provide by serving as a bridge between the technology and business.

Data Governance 147

Data Governance Government Data Lake High Quality Data 147

Data Engineering Podcast

JANUARY 7, 2024

Summary Data processing technologies have dramatically improved in their sophistication and raw throughput. What are the experimental methods that you are using to gain understanding in the opportunities and practical limits of those systems? What do you have planned for the future of your academic research?

Data Process 147

Data Process Process Data Lake High Quality Data 147