Sat.Aug 07, 2021 - Fri.Aug 13, 2021

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Build Trust In Your Data By Understanding Where It Comes From And How It Is Used With Stemma

Data Engineering Podcast

Summary All of the fancy data platform tools and shiny dashboards that you use are pointless if the consumers of your analysis don’t have trust in the answers. Stemma helps you establish and maintain that trust by giving visibility into who is using what data, annotating the reports with useful context, and understanding who is responsible for keeping it up to date.

IT 130
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Five Reasons Why Platforms Beat Point Solutions in Every Business Case

Cloudera

Once upon an IT time, everything was a “point product,” a specific application designed to do a single job inside a desktop PC, server, storage array, network, or mobile device. Point solutions are still used every day in many enterprise systems, but as IT continues to evolve, the platform approach beats point solutions in almost every use case.

Cloud 120
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Accelerating Drug Discovery and Development with DataOps

DataKitchen

A drug company tests 50,000 molecules and spends a billion dollars or more to find a single safe and effective medicine that addresses a substantial market. Figure 1 shows the 15-year cycle from screening to government agency approval and phase IV trials. Drug companies desperately look for ways to compress this lengthy time frame and to demonstrate the competitive advantage of their intellectual property.

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The Power of Path Analysis

Teradata

For both analysts and data scientists, identifying paths and patterns in data is a valuable way to gain insight into the occurrences leading to or from any event of interest. Read more.

Data 98
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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Announcing the Azure Cosmos DB Sink Connector in Confluent Cloud

Confluent

Today, Confluent is announcing the general availability (GA) of the fully managed Azure Cosmos DB Sink Connector within Confluent Cloud. Now, with just a few simple clicks, you can link […].

Cloud 98
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The Foundations of a Modern Data-Driven Organisation: Change from Within (part 2 of 2)

Cloudera

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. However, the important role data occupies extends beyond customer experience and revenue, as it becomes increasingly central in optimizing internal processes for the long-term growth of an organization.

More Trending

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Predictive Lead Scoring: Discovering Best-Fit Prospects with Machine Learning

AltexSoft

B2B sales strategies can be roughly divided into two activities: lead generation and lead conversion. It’s clear how each works. The former, attracting visitors to your website and then helping them take certain actions, is almost automated and works through carefully placed calls to action. The latter, supporting a lead to make the purchasing decision, is done by professional sales people with their arsenal of personalized tactics.

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What Does a Supply Chain Digital Hub Look Like?

Teradata

Digital hubs for supply chains enable resiliency in the operation of the supply chain & in the underlying data analytics. Learn more about its main components and benefits.

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Why Modernizing the First Mile of the Data Pipeline Can Accelerate all Analytics

Cloudera

Every enterprise is trying to collect and analyze data to get better insights into their business. Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis. This whole architecture made a lot of sense when there was a consistent and predictable flow of data to process.

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What does a healthy data ecosystem look like?

DareData

Introduction "Data is the 21st century oil". If you work anywhere in the vicinity of data, odds are you've heard some variation of this statement at least once. But while the value of data and data-driven decision making is becoming increasingly more apparent, it is not immediately obvious how to build and maintain a healthy data ecosystem. In fact, this not a trivial endeavor at all.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Data Lake vs Data Warehouse - Working Together in the Cloud

ProjectPro

“Data Lake vs Data Warehouse = Load First, Think Later vs Think First, Load Later” The terms data lake and data warehouse are frequently stumbled upon when it comes to storing large volumes of data. Often they are used interchangeably but they are totally different on how the data is structured and processed. If you’re a big data engineer and finding it difficult to decide whether to use a data lake or a data warehouse for your organizational needs then we’ve got you cove

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Navigating the Tsunami of Complexity Facing Casualty Medical Claims

Teradata

As medical claims become more complex, automation will be crucial to insurers’ longevity. How can insurers manage the demand to automate without sacrificing customer experience or payment integrity?

Medical 52
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Generating and Viewing Lineage through Apache Ozone

Cloudera

Follow your data in object storage on-premises. As businesses look to scale-out storage, they need a storage layer that is performant, reliable and scalable. With Apache Ozone on the Cloudera Data Platform (CDP) , they can implement a scale-out model and build out their next generation storage architecture without sacrificing security, governance and lineage.

Hadoop 105
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An instant demo of data lineage is worth a thousand words

Datakin

Blog An instant demo of data lineage is worth a thousand words Written by Ross Turk on August 10, 2021 They say that a picture is worth a thousand words. If you’ve ever tried to describe how all the jobs in your data pipeline are interrelated using just words, I am sure it wasn’t easy. I bet you used way more than a thousand of them. But you probably never got past a hundred words before looking for something to draw with – it’s far easier to explain data lineage on a whiteboard in t

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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20 Python Projects for Data Science in 2023

ProjectPro

Table of Contents Why Learn Python for Data Science? Top 20 Python Projects for Data Science Getting Started with Python for Data Science FAQs about data science projects Why Learn Python for Data Science? Python has come to command a celebrity status in data science over the years. It is loved by all data enthusiasts and provides an easy introduction to data science and machine learning.

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DBTA Readers’ Choice Awards, 2021

DataKitchen

The post DBTA Readers’ Choice Awards, 2021 first appeared on DataKitchen.

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What’s New in CDP Private Cloud Base 7.1.7?

Cloudera

With the release of CDP Private Cloud (PvC) Base 7.1.7, you can look forward to new features, enhanced security, and better platform performance to help your business drive faster insights and value. We understand that migrating your data platform to the latest version can be an intricate task, and at Cloudera we’ve worked hard to simplify this process for all our customers. .

Cloud 96
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RudderStack Product News Vol. #010 - Volume Reporting, Sync Retry & More

RudderStack

This update includes a few of our most requested features like volume reporting and sync retry which our customers are happy to see in production.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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15 Machine Learning Projects GitHub for Beginners in 2023

ProjectPro

If you are a beginner searching for Machine Learning GitHub Projects, you are on the right page. Below you will find a list of Machine Learning projects on Github that are beginner-friendly and popular among Data Science enthusiasts. Table of Contents 15 Sample GitHub Machine Learning Projects Python Machine Learning Projects on GitHub 1. Predictive Analytics 2.

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Why hire brilliant when average will do?

DareData

About me I've recruited, hired, and worked directly with ~50 technical workers over the last 8 years. And by "worked with" I mean actually worked with. Gone to client meetings with them, made project plans with them, written code with them, released bugs into production with them, fixed said bugs with them, watched them overcome challenges, watched them fail challenges, etc.

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Power BI vs Tableau - Find Your Perfect Match for a BI Tool

ProjectPro

Global data generation will expand to 63 zettabytes (ZB) by 2025. Business Intelligence (BI) offers excellent ways to gain data insights and use them in data-driven decision-making. BI market will grow to $39.35 billion in the next five years. It is essential to pick the right BI tools to obtain the most out of the BI technologies. We have compared the two most popular BI tools viz.

BI 40
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How to Migrate from Segment to RudderStack

RudderStack

Check out this guide to learn how you can switch from Segment to RudderStack in four steps with minimal engineering work and no data loss.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.