Monte Carlo

AUGUST 21, 2023

You did it! After executive leadership vaguely promised stakeholders that new Gen AI features would be incorporated across the organization, your tiger team sprinted to produce a MVP that checks the box. Integrating that OpenAI API into your application wasn’t that difficult and it may even turn out to be useful. But now what happens? Tiger teams can’t sprint forever.

Data Science 98

Data Science Machine Learning Media Data 98

KDnuggets

AUGUST 21, 2023

This article provides an overview of data science and business analytics. It also provides a brief introduction to the importance of these topics for your business.

Data Science 97

Data Science Data IT 97

Lyft Engineering

AUGUST 21, 2023

Interviewing with a tech company doesn’t have to be overwhelming! Lyft’s team of recruiters supports our talented candidates through every step of the process, from the first getting-to-know-you call, all the way through the offer letter. Our goal is to make your recruiting journey smooth and predictable — and to give you the best opportunity to demonstrate your strengths, learn from our incredible team, and walk away from each conversation with a smile!

Recruitment 74

Recruitment IT Algorithm Architecture 74

Towards Data Science

AUGUST 21, 2023

Back To Basics | Simplifying Complex Queries and Enhancing Readability Continue reading on Towards Data Science »

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SQL Data Science Data Analysis Data 90

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Data

KDnuggets

AUGUST 21, 2023

A comprehensive comparison between OLAP and OLTP systems, exploring their features, data models, performance needs, and use cases in data engineering.

Systems 71

Systems Data Process Process Data 71

Hevo

AUGUST 21, 2023

Do you find it challenging to manage and analyze your business operations data scattered across different platforms? HubSpot to Azure Synapse integration is one of the perfect solutions for streamlining your marketing data analytics workloads.

Data Analytics 52

Data Analytics Data Management IT 52

Hevo

AUGUST 21, 2023

Salesforce is designed for organizations to manage comprehensive consumer data for improving business operations. However, it only offers basic data insights for businesses to keep a tab on their performance metrics.

Data Analytics 52

Data Analytics Data Cloud Designing 52

Snowflake

AUGUST 21, 2023

With demonstrable success across a range of industries, organizations are increasingly pursuing cutting-edge data mesh architectures to enhance self-service data use. Given the popularity and continued growth of data mesh, many of today’s leading compute, storage, and data security platforms are also evolving to support and enable it. In this blog post, we’ll review the core data mesh principles, highlight how both organizations and modern data platforms are putting those principles into action

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Pipeline-centric Architecture Government Data Architect 52

Hevo

AUGUST 21, 2023

Are you struggling to migrate your data from MySQL on Amazon RDS to PostgreSQL? You’re not alone. One of the common challenges with Amazon RDS MySQL is its data analytical and scalability capabilities, particularly when dealing with large datasets and high-traffic workloads. Fortunately, the migration to PostgreSQL offers a promising solution to overcome these obstacles.

PostgreSQL 52

PostgreSQL MySQL Datasets Data Analytics 52

Acceldata

AUGUST 21, 2023

In it's recent report on data observability, Gartner outlines the innovative capabilities that Acceldata is providing in its data observability platform, and validates Acceldata's approach.

IT 40

IT Data 40

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

Hevo

AUGUST 21, 2023

Amazon RDS, a managed database service, is designed to support several databases. It simplifies the deployment, scaling, and administration of relational databases like PostgreSQL. However, by moving PostgreSQL on Amazon RDS data to BigQuery, a fully-managed data warehouse, you can analyze massive amounts of data effortlessly.

PostgreSQL 52

PostgreSQL Relational Database Data Warehouse Database 52

FreshBI

AUGUST 21, 2023

Understanding the CEO’s Design Perspective To design a dashboard suited for your CEO, it is required to think like a CEO, get into the mind of a CEO. If anyone on the team understands the importance of good design, then it's often the CEO. CEOs prioritize and understand the importance of good design so well that they often take it for granted that the products that they build and that they surround themselves with, are designed well - for beauty and for function.

Designing 97

Designing Consulting Project Building 97

Hevo

AUGUST 21, 2023

As a data engineer, you know that making data accessible to all business teams is essential for driving business growth. Your team has requested a priority connection between HubSpot and Amazon Aurora so that your sales, marketing, and customer service teams can gain critical business insights. Don’t worry, we’ve got you covered.

Data 52

Data Data Engineering Data Engineer Accessible 52

Hevo

AUGUST 21, 2023

Salesforce is designed for organizations to manage comprehensive consumer data for improving business operations. However, it only offers basic data insights for businesses to keep a tab on their performance metrics.

Data Analytics 52

Data Analytics Data Cloud Designing 52

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Data Analysis

Hevo

AUGUST 21, 2023

Webhooks are used for collecting event data from various web, mobile, e-commerce, or SaaS applications. Connecting Webhooks to Amazon Aurora can help you unlock the full potential of your data and achieve meaningful insights into your business operations. By integrating these two platforms, you can create a centralized repository that enables real time analytics.

Data 52

Data 52

Hevo

AUGUST 21, 2023

Are you looking to migrate your data from MySQL on Amazon RDS to Databricks? If so, you’ve come to the right place. Migrating data from MySQL on Amazon RDS to Databricks can be a complex process, especially when handling large datasets and different database structures.

MySQL 52

MySQL Datasets Database Data 52

Hevo

AUGUST 21, 2023

Facebook is evidently the biggest social media platform with enormous marketing opportunities. You can use ads to spread your brand awareness across the target audience. But running ad campaigns isn’t enough for you to achieve your set sales objectives. A proper analysis to understand how you can enhance your campaigns is essential for business growth.

Media 52

Media Data Data Integration 52

Hevo

AUGUST 21, 2023

Amazon RDS supports PostgreSQL as one of its database engines, while MySQL continues to be a popular choice for many applications and organizations. Seamlessly connecting PostgreSQL on Amazon RDS to MySQL opens up new possibilities for data consolidation, analysis, and business intelligence.

PostgreSQL 52

PostgreSQL MySQL Data Consolidation Business Intelligence 52

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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