Workfall

JUNE 12, 2023

Reading Time: 9 minutes Picture a vibrant landscape of bustling tech hubs, where businesses thrive and decisions are made in the blink of an eye. In this dynamic realm of data engineering, a monumental challenge takes centre stage: efficiently managing the ever-changing tides of real-time data.

Telecommunication 80

Telecommunication Metadata Healthcare Finance 80

Cloudera

OCTOBER 5, 2023

Your company collects data from different sources and then you analyze the data to help make the right decisions. Perhaps the process is time consuming and cumbersome. Your organization could make an inaccurate decision with significant consequences based on faulty or missing data.

Data Governance 82

Data Governance Unstructured Data Government High Quality Data 82

Lyft Engineering

JUNE 28, 2023

On the real-time front, LyftLearn supported real-time inference and input feature validation. On the flip side, there was a substantial appetite to build real-time ML systems from developers at Lyft. To meet the needs of our customers, we kicked off the Real-time Machine Learning with Streaming initiative.

Machine Learning 115

Machine Learning Building Metadata Kafka 115

Lyft Engineering

NOVEMBER 29, 2023

Introduction At Lyft, we have used systems like Apache ClickHouse and Apache Druid for near real-time and sub-second analytics. Sub-second query systems allow for near real-time data explorations and low latency, high throughput queries, which are particularly well-suited for handling time-series data.

Kafka 104

Kafka Data Ingestion Datasets Architecture 104

Data Engineering Podcast

NOVEMBER 20, 2022

Summary The majority of blog posts and presentations about data engineering and analytics assume that the consumers of those efforts are internal business users accessing an environment controlled by the business. And don’t forget to thank them for their continued support of this show!

Systems 130

Systems Metadata Data Pipeline MongoDB 130

DoorDash Engineering

NOVEMBER 7, 2023

Figure 1: An example of a real-time push notification to prompt purchase completion. To polish the notification experience, we want to ensure that cart abandonment notifications are sent in a timely manner — but only when users truly stop adding to their carts and abandon the app.

Designing 95

Designing Coding Process Management 95

Snowflake

APRIL 9, 2024

Outreach data, available via Snowflake Marketplace , contains a huge amount of useful information including lead scoring, topics that are resonating with audiences, where sales reps spend the most time, which accounts are open to conversations and more. Outcome data goes back into the system to train the model.

BI 76

BI Data Ingestion Data Aggregated Data 76

Cloudera

FEBRUARY 15, 2024

Anyone can make their future whatever they want it to be.” The opportunities are great, but so are the challenges To make that future a reality, regulatory challenges confronting banks and insurance companies demand a constant reassessment of compliance strategies and operational frameworks. It can be changed…you know that.

Insurance 86

Insurance Banking Data Architecture Data Ingestion 86

FreshBI

MAY 3, 2024

The purpose of this blog is to provide an example of how a manufacturing operation can use Business Intelligence (BI) anchored in its economic engine, to inform the ERP selection process. How Business Intelligence Informs Your ERP Selection So, back to our purpose for this blog - how to use BI to inform my ERP selection process.

Manufacturing 52

Manufacturing BI Process Banking 52

Cloudera

SEPTEMBER 26, 2023

Organizations increasingly rely on streaming data sources not only to bring data into the enterprise but also to perform streaming analytics that accelerate the process of being able to get value from the data early in its lifecycle.

Kafka 92

Kafka Technology IT Government 92

ThoughtSpot

NOVEMBER 6, 2023

This blog is part of our ongoing ‘Why I joined ThoughtSpot’ series. In this blog, we will learn more about our recent hire Kelley Jarrett who joined us as SVP Strategy, Operations and Enablement Kelley Jarrett recently joined ThoughtSpot as SVP Strategy, Operations and Enablement, and is based out of Charleston, South Carolina.

Accessible 84

Accessible Accessibility IT Data 84

Cloudera

SEPTEMBER 15, 2021

That’s where you find the ability to empower IoT devices to respond to events in real time by capturing and analyzing the relevant data. Edge computing relies on squeezing the power and functionality of a data center into a micro site as close to data sources as possible to enable real-time tasks. Real-time Demands.

Medical 118

Medical Retail Datasets Algorithm 118

Knowledge Hut

MARCH 29, 2024

To explain trend analysis and better understand its importance in project management , I will start this blog with my real-life example. By analyzing this trend, I was able to adjust timelines and find alternative suppliers, which ultimately led to the successful completion of the project on time.

Project 52

Project Management Medical Utilities 52

LinkedIn Engineering

OCTOBER 19, 2023

This robust framework empowers near real-time data processing for critical services and platforms, ranging from machine learning and notifications to anti-abuse AI modeling. In 2010, they introduced Apache Kafka , a pivotal Big Data ingestion backbone for LinkedIn’s real-time infrastructure.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

Knowledge Hut

MARCH 26, 2024

To explain trend analysis and better understand its importance in project management , I will start this blog with my real-life example. By analyzing this trend, I was able to adjust timelines and find alternative suppliers, which ultimately led to the successful completion of the project on time.

Project 52

Project Management Medical Utilities 52

Edureka

MAY 6, 2024

This helps them make decisions faster and more accurately. This AI in Finance blog, we will be covering the following topics: What is AI in Finance? By using AI, these institutions can do these jobs quicker and more intelligently, leading to better decision-making and smoother operations.

Finance 52

Finance Banking Algorithm Machine Learning 52

Knowledge Hut

OCTOBER 29, 2023

Till then, pick a topic from this blog and get started on your next great computer science project. If you are interested in working on a project that will have a real-world impact, then an OCR system may be the right choice for you. However, with so many options out there, it can be tough to decide which one is right for you.

Computer Science 111

Computer Science Coding Project Hospitality 111

Rockset

OCTOBER 26, 2023

The key to JetBlue’s customer experiences driving strong loyalty is staying efficient even when operating in the most congested airspaces in the world- a feat that would be unattainable without real-time analytics and AI. BlueML has been central to supporting LLM-based applications and JetBlue’s AI & ML real-time products.

Machine Learning 64

Machine Learning Data Science Architecture Data Warehouse 64

Knowledge Hut

DECEMBER 22, 2023

A data scientist's main responsibility is to draw practical conclusions from complicated data so that you may make informed business decisions. Here are some essential skills to focus on: Soft Skills Analytical Thinking: Develop the ability to break down complex problems and think critically about data-related challenges.

Portfolio 98

Portfolio Data Science Programming Language Scala 98

Data Engineering Weekly

APRIL 28, 2024

link] Sponsored: Customizable embedded dashboards and natural language AI queries drive customer analytics Quantatec, a company based in Brazil focusing on vehicle and fleet management, needed to equip their team with an embedded analytics platform. LinkedIn writes an exciting blog about what is and is not working.

Data Engineering 52

Data Engineering Data Engineer Engineering Hospitality 52

Cloudera

APRIL 27, 2022

Much potential remains untapped when businesses do not translate their data into actionable insights from the point it is created, eroding the usefulness of data over time. . One of the ways to accelerate time to insight is by performing analytics on real-time data. This is the focus of “data in motion”.

IT 97

IT Manufacturing Telecommunication Banking 97

Cloudera

JUNE 29, 2023

Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs. Financial institutions can use ML and AI to: Support liquidity monitoring and forecasting in real time.

Data Architecture 83

Data Architecture Architecture Management Banking 83

Knowledge Hut

MARCH 19, 2024

I will explore the top 10 AWS applications and their use cases in this blog. Flexibility : AWS business applications provide a broad number of services and configurations, making it possible for businesses to customize their infrastructure depending on their requirements. What is AWS? So, get started today with your journey!

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Rockset

FEBRUARY 16, 2024

Klarna is a leading buy-now-pay-later company, giving shoppers more time to pay while paying merchants in full upfront. The flexible options enable shoppers to make larger purchases responsibly, with merchants seeing a 41% increase in average order value and increase in conversions.

Architecture 59

Architecture SQL Data Warehouse Database 59

Workfall

SEPTEMBER 18, 2023

Reading Time: 9 minutes Imagine your data as pieces of a complex puzzle scattered across different platforms and formats. Making sense of this scattered information often feels like solving a gigantic puzzle blindfolded. In this blog, we will cover: What is Airbyte? This is where the power of data integration comes into play.

Data Pipeline 93

Data Pipeline Raw Data Data Schemas Healthcare 93

Cloudera

OCTOBER 17, 2023

This blog is for anyone who was interested but unable to attend the conference, or anyone interested in a quick summary of what happened there. It makes perfect sense that Apache Flink has emerged as the standard. They were suffering rising costs and were struggling to provide real-time insight to demanding stakeholders.

Database-centric 77

Database-centric Kafka Pipeline-centric Database 77

Cloudera

OCTOBER 11, 2022

But the real reason AI can be used at scale, he emphasized, has nothing to do with magic. Data science needs analytics. But when that AI system is depended upon to make business critical decisions, the data set must be complete, accurate, and updated on a real time (or near real time) basis.

Data Science 92

Data Science Aggregated Data Data Consulting 92

Data Engineering Weekly

MARCH 3, 2024

There will be food, networking, and real-world talks around data engineering. The NVIDIA blog on Sovereign AI emphasizes the importance of countries developing artificial intelligence capabilities using local infrastructure, data, and workforce. Visit rudderstack.com to learn more. link] Nvidia: What Is Sovereign AI?

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Knowledge Hut

JANUARY 22, 2024

In this age of information, data scientists have emerged as the architects of tomorrow, harnessing the power of data to drive decisions, solve complex problems, and push the boundaries of what's possible. The brand name of the institution you graduate from makes a difference. Welcome to the world of data science.

Data Science 52

Data Science Certification Education Data Lake 52

Databand.ai

JULY 19, 2023

These sources might include external data like social media feeds, internal data like logs or reports, or even real-time data feeds from IoT (Internet of Things) devices. The sheer variety of data sources and formats is what makes data ingestion such a complex process.

Data Ingestion 52

Data Ingestion Process Data Cleanse Data Governance 52

Knowledge Hut

NOVEMBER 19, 2023

Here, Data Science courses online can help you apply what you learn in practical exercises working with real-world datasets. There was a time when the word 'interaction' was restricted to humans. The ability to sense changes and process the same enhances decision-making. What is IoT? Cosmos DB in this case.

Data Science 52

Data Science Technology Machine Learning Big Data 52

Towards Data Science

APRIL 30, 2024

This blog post is my note after reading the paper: The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing. All the information must be available quickly to adjust their business in near real-time.

Google Cloud 63

Google Cloud Process Cloud Lambda Architecture 63

Rockset

JANUARY 30, 2024

In 2023, Rockset announced a new cloud architecture for search and analytics that separates compute-storage and compute-compute. With this architecture, users can separate ingestion compute from query compute, all while accessing the same real-time data. This is a game changer in disaggregated, real-time architectures.

Data Ingestion 64

Data Ingestion Utilities Architecture SQL 64

Knowledge Hut

JANUARY 24, 2024

As we explore the pasts and ways that Power BI and Tableau work, it'll help us understand what makes these tools special. If you are an expert in working with data or a beginner excited to use visualization, this blog will help you understand the differences between power bi and tableau.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

FreshBI

NOVEMBER 21, 2023

These apps not only provide a seamless interface between SalesForce and Power BI, but they also present data in visually appealing, easy-to-understand formats, empowering sales teams to make informed decisions swiftly. Crafting Custom Business Processing Dashboards Every business has its unique needs and operational processes.

Business Intelligence 52

Business Intelligence Hospitality BI Consulting 52

Cloudera

OCTOBER 30, 2023

Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives. The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services.

Cloud 77

Cloud Finance Cloud Computing Government 77

Databand.ai

AUGUST 30, 2023

DataOps tools are software solutions designed to simplify and streamline the various aspects of data management and analytics, such as data ingestion, data transformation, data quality management, data cataloging, and data orchestration. Enhanced Data Quality Data quality is a critical factor in the success of data analytics projects.

Data Cleanse 52

Data Cleanse Data Pipeline Data Ingestion Data Validation 52