Mon.Dec 05, 2022

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Why Data Migrations Suck.

Confessions of a Data Guy

I’ve often wondered what purgatory would be like, doing penance for millennia into eternity. It would probably be doing data migrations. I suppose they are not all that dissimilar from normal software migrations, but there are a few things that make data migrations a little more horrible and soul-sucking. Data migrations are able to slow […] The post Why Data Migrations Suck. appeared first on Confessions of a Data Guy.

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How Artificial Intelligence Will Change Mobile Apps

KDnuggets

There are numerous ways in which Artificial Intelligence (AI) will change the way we use mobile apps. As more and more users shift towards tablet computers and various mobile platforms, developers are coming up with new ideas for improving user experience. AI holds many key factors for the future of mobile app development and could indeed prove to be a game changer on almost all fronts.

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Teradata VantageCloud Lake + Vcinity Technology: Taking the Management Costs out of Network Latency

Teradata

Teradata VantageCloud Lake + Vcinity is perfect for on-premises, hybrid, & multi-cloud solutions where long network latency might keep an enterprise from leveraging access to their sensitive data.

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Top Posts November 28 – December 4: The Complete Data Engineering Study Roadmap

KDnuggets

The Complete Data Engineering Study Roadmap • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Top 10 Data Science Myths Busted • What is Chebychev’s Theorem and How Does it Apply to Data Science? • Scikit-learn for Machine Learning Cheatsheet.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, CTO of Betterworks, will explore a practical framework to transform Generative AI prototypes into

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From Hunger to Hedgehogs: Clouderans Drive Impact in 2022 Through Global Volunteering Efforts

Cloudera

Clouderans in 2022 have collectively donated hundreds of hours to causes they care about around the globe. This kind of support for nonprofits is essential to their running, and to driving impact in local communities. For International Volunteer Day 2022, we are excited to celebrate Cloudera’s volunteer spotlights from 2022! . “ I believe it is important to work with people and organizations that share common values to achieve their goals.”.

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Introduction to Data Visualization Using Matplotlib

KDnuggets

Data Visualization is an important aspect of Data Science that enables the data to speak for itself by uncovering the hidden details. Follow this guide to get started with Matplotlib which is one of the most widely used plotting libraries in Python.

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A Brief Introduction to Kalman Filters

KDnuggets

What you can’t observe, you ought to estimate. Human evolution is based on this keen interest in measurement. But what are the quantities or phenomena which you can’t observe or measure with certainty? Learn this and more about Kalman Filter which is the most widely used algorithm to estimate a true quantity.

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How Acceldata Revamped Data Observability at PhonePe at the Infrastructure Layer

Acceldata

Learn how Walmart subsidiary PhonePe adopted Acceldata’s Data Observability solution which helped them improve productivity by minimizing everyday data emergencies and data downtime.

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User Notification: SYSTEM$SEND_EMAIL()

Cloudyard

Read Time: 2 Minute, 14 Second During this post we will discuss latest feature in snowflake i.e. User Notification: SYSTEM$SEND_EMAIL() Stored Procedure. Snowflake has introduced a new mechanism to notifying users based on monitoring and administrative email notification with in the same account. SYSTEM$SEND_EMAIL() uses the notification integration object, which is a Snowflake object that provides an interface between Snowflake and third-party services (e.g. cloud message queues, email, etc.

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Optimize Hadoop Operational Efficiency By 30%

Acceldata

Acceldata’s data observability Pulse product is specifically designed to improve reliability, scale, and cost for HDP/CDH. It's a highly optimized solution that gives you options to keep your HDP/CDP on-premises or migrate to the cloud data warehouses of your choice on your own timeframe.

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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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How PayJoy Drives Data Trust with Monte Carlo

Monte Carlo

PayJoy is on a mission to bring credit to the next billion people in emerging markets around the world. Using their own proprietary mobile security technology, PayJoy gives customers the ability to afford their first smartphone on credit. With millions of customers across a dozen countries and support from major industry partners, data reliability plays a key role in PayJoy’s ability to not only deliver on their brand’s promise but also understand their performance and make mission-critical deci

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Optimizing the Modern Data Stack with Enterprise Data Observability

Acceldata

Simply “monitoring” certain pieces of the data stack doesn’t go far enough. That’s why taking a multidimensional approach to enterprise data observability is key for gaining a comprehensive understanding of the organization’s data, processing, and pipelines.

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How Data Observability Goes Far Beyond Data Quality Monitoring and Alerts

Acceldata

The cost of poor quality and unreliable data is set to skyrocket as companies transform into data-driven digital enterprises. Access to data, therefore, is critical, but ensuring that that data is reliable becomes absolutely mission-critical.

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How Data Observability Promotes Data Product Development

Acceldata

Data products use continuously available data from an organization's data stack. Data observability helps ensure data quality and reliability so enterprise can deliver quality data products.

Data 52
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Navigating the Future: Generative AI, Application Analytics, and Data

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?

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Building Better Data Products with Data Observability

Acceldata

Data products—such as data-driven dashboards, visualizations, reports, models, and other processes that make it easier to leverage data—have become vital tools for companies of all sizes across virtually every industry.

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Employee Spotlight: Raghu Mitra, Co-founder & Director of Engineering, Acceldata

Acceldata

Acceldata’s co-founder and Director of Engineering, Raghu Mitra, started his career as a software engineer in 2005. He quickly realized he enjoyed problem-solving, and the world of data had a huge problem: projects were almost impossible to complete, and that struck a chord with him. Raghu provides insight into this revelation, his part in Acceldata’s founding, and what his typical day looks like as a co-founder at the enterprise data observability leader.

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Data Observability Provides the Foundation for Data Quality at Scale

Acceldata

Enterprise data teams can’t rely on manual interventions to improve data quality at scale. They need a data observability solution with advanced AI/ML capabilities to automatically detect data and schema drift, anomalies, as well as lineage.

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4 Foundational Principles for Building a Data-Driven Culture

Acceldata

Digital transformation is clearly important, but it’s not the only factor to consider. Becoming data-driven is another key part of the journey, but getting there isn’t easy.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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5 Ways Data Observability Can Reduce Your Confluent Cloud Kafka Cost

Acceldata

Streaming data has become a requirement for enterprises to build and operate great data products, and Apache Kafka is far and away the standard for real-time streaming.

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How Data Observability Can Deliver 80X ROI

Acceldata

Optimizing enterprise-scale data infrastructure and operation costs is a big challenge, and data observability can be a driver of both cost savings and high ROI.

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4 Ways Data Observability Improves the Cloud Migration Process

Acceldata

Your cloud migration process must include a multidimensional observability solution that provides a granular view of your data and infrastructure layers.

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6 Ways To Get Real-Time Intelligence Of Your Hadoop Ecosystem

Acceldata

For real-time insights into your Hadoop environment, you need a solution like Acceldata. Real-time intelligence and auto-generated recommendations.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

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.

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Value Engineering and Data Cost Optimization Through Data Observability

Acceldata

This blog defines data cost optimization and explores why multi-dimensional data observability is an enabler for value engineering best practices.

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How Data Observability Can Turn You Into a Cloud Data FinOps Expert

Acceldata

What can cloud FinOps professionals do to get a handle on the ROI of their data operations and pipelines? Here’s how data observability can help.

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Data Engineering: How Spotify Upgraded its Data Orchestration Platform

Acceldata

PlatformsLearn how Spotify leverages data orchestration to run 20,000 batch data pipelines defined in more than 1,000 repositories every day.

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PubMatic Leverages Acceldata’s Data Observability Platform to Optimize Performance and Cost at Massive Scale

Acceldata

Case study of how PubMatic leverages Acceldata’s Data Observability platform to optimize performance and cost at massive scale.

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Get Better Network Graphs & Save Analysts Time

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.

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Why Automating ETL Validation Scripts Will Improve Data Validation

Acceldata

ValidationLearn how a data observability solution can automatically clean and validate incoming data pipelines in real-time.

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5 Steps to Operationalize Data Product Development

Acceldata

Developing data products involves many moving parts. Here's a framework for operationalizing data product development.

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Do You Know When Good Data Goes Bad?

Acceldata

Data quality is achieved through data observability and allows you to assess how reliable your enterprise data is.

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Data Observability Checklist: How to Choose the Right Solution

Acceldata

Free checklist that provides an at-a-glance introduction to nineteen important data observability features.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.