Confluent

JULY 18, 2023

Gain the easiest solution for data streaming and increase data flow to your platform through native integrations with Confluent Cloud and 120+ Kafka connectors.

Programming 98

Programming Kafka Cloud Data 98

KDnuggets

JULY 18, 2023

Data Storytelling with Python Altair and Generative AI teaches you how to turn raw data into effective, insightful data stories. You’ll learn exactly what goes into an effective data story, then combine your Python data skills with the Altair library and AI tools to rapidly create amazing visualizations.

Raw Data 90

Raw Data Python Data 90

databricks

JULY 18, 2023

Today, Meta released their latest state-of-the-art large language model (LLM) Llama 2 to open source for commercial use1. This is a significant development.

Building 96

Building 96

ThoughtSpot

JULY 18, 2023

At ThoughtSpot, we believe making data accessible to every knowledge worker requires human-centered technology—an analytics experience that bridges the “language” barrier between technology and people. AI is the perfect compliment to search because it empowers organizations to analyze, understand, and act on data. In order to achieve this vision, we knew we’d need to work with some of the best, most innovative technology companies across the modern data stack —companies that put their users fir

Google Cloud 84

Google Cloud Cloud BI Data Security 84

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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

databricks

JULY 18, 2023

We are excited to announce enhanced monitoring and observability features in Databricks Workflows. This includes a new real-time insights dashboard to see all.

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Workfall

JULY 18, 2023

Reading Time: 8 minutes Picture yourself in the bustling world of a leading streaming platform, where countless users rely on personalized recommendations for their next binge-watching adventure. Behind the scenes, a team of data wizards tirelessly crunches mountains of data to make those recommendations sparkle. As one of those wizards, we’ve seen the challenges we face: the struggle to transform massive datasets into meaningful insights, all while keeping queries fast and our system scal

Datasets 77

Datasets Entertainment Data Workflow Data 77

Pinterest Engineering

JULY 18, 2023

Brian Overstreet | Software Engineer, Observability; Humsheen Geo | Software Engineer, Observability Time series is a critical part of Observability at Pinterest, powering 60,000 alerts and 5,000 dashboards. A time series is an identifier with values where the values are associated with a timestamp. Given the widespread use and critical nature of time series, it’s important to give engineers the ability to adequately express what operations to perform on the time series in a readable, understand

Database 73

Database Software Engineer Software Engineering Raw Data 73

Cloudera

JULY 18, 2023

In the realm of big data analytics, Hive has been a trusted companion for summarizing, querying, and analyzing huge and disparate datasets. But let’s face it, navigating the world of any SQL engine is a daunting task, and Hive is no exception. As a Hive user, you will find yourself wanting to go beyond surface-level analysis, and deep dive into the intricacies of how a Hive query is executed.

BI 72

BI Datasets Big Data Data Engineering 72

The Modern Data Company

JULY 18, 2023

Data Products Data products encompass several key aspects that contribute to their effectiveness and value in addressing data challenges and delivering actionable insights. These aspects ensure that data products are well-designed, user-centric, and aligned with business goals. Let’s explore the key aspects of a data product: Clear Purpose and Goals A data product must have a clear purpose and well-defined goals that align with the organization’s objectives.

Data Governance 69

Data Governance High Quality Data Government Data 69

Towards Data Science

JULY 18, 2023

5 Inspiring Learning Resources to Propel Your Skills and Expertise Continue reading on Towards Data Science »

Data Analytics 84

Data Analytics Data Science Data Data Governance 84

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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

KDnuggets

JULY 18, 2023

Data-centric techniques for better Few-Shot Prompting when applying LLMs to Noisy Real-World Data.

Data 83

Data Process 83

Towards Data Science

JULY 18, 2023

Where and how to address problems with your data Continue reading on Towards Data Science »

Data Science 83

Data Science Data Data Engineering Data Engineer 83

The Modern Data Company

JULY 18, 2023

Data Products Data products encompass several key aspects that contribute to their effectiveness and value in addressing data challenges and delivering actionable insights. These aspects ensure that data products are well-designed, user-centric, and aligned with business goals. Let’s explore the key aspects of a data product: Clear Purpose and Goals A data product must have a clear purpose and well-defined goals that align with the organization’s objectives.

Data Governance 52

Data Governance High Quality Data Government Data 52

Hevo

JULY 18, 2023

Traditionally, when working with Spark workloads, you would have to run separate processing clusters for different languages. Capacity management and resource sizing are also a hassle. Snowflake addressed these problems by providing native support for different languages. With consistent security, governance policies, and simplified capacity management, Snowflake pulls ahead as a great alternative to Spark.

Government 52

Government Management Process 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

The Modern Data Company

JULY 18, 2023

Data Products Data products encompass several key aspects that contribute to their effectiveness and value in addressing data challenges and delivering actionable insights. These aspects ensure that data products are well-designed, user-centric, and aligned with business goals. Let’s explore the key aspects of a data product: Clear Purpose and Goals A data product must have a clear purpose and well-defined goals that align with the organization’s objectives.

Data Governance 52

Data Governance High Quality Data Government Data 52

Acceldata

JULY 18, 2023

Ramon Chen, Acceldata's new Chief Product Officer, provides his thoughts and perspectives on data observability, data products, and the data market.

Data 52

Data 52

Edureka

JULY 18, 2023

Welcome to a world where artificial intelligence is not a futuristic concept, but a reality intertwined with our daily lives! In this blog, we delve into the fascinating sphere of AI and its practical implications, showcasing how this revolutionary technology has quietly permeated the fabric of our existence. From waking up to a smart alarm that monitors our sleep cycles, to relying on voice assistants like Siri and Alexa for weather updates or recipe recommendations, AI’s presence is ubiq

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Entertainment Algorithm Media Utilities 40

AltexSoft

JULY 18, 2023

To some, the word Apache may bring images of Native American tribes celebrated for their tenacity and adaptability. On the other hand, the term spark often brings to mind a tiny particle that, despite its size, can start a large fire. These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark.

Big Data 52

Big Data Data Process Process Hadoop 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.

Certification

Edureka

JULY 18, 2023

Welcome to a journey into the future, where the synthesis of Artificial Intelligence (AI) and Robotics is creating a world that once existed only in the realm of science fiction. Artificial Intelligence Robots, the convergence of physical machines and cognitive intelligence, are making headlines and transforming landscapes across industries. This blog will dive into the heart of this revolution, exploring the intricacies of AI Robotics – its advancements, applications, implications, and th

Transportation 40

Transportation Healthcare Manufacturing Computer Science 40

Monte Carlo

JULY 18, 2023

Data engineers discovered the benefits of conscious uncoupling around the same time as Gwyneth Paltrow and Chris Martin in 2014. Of course, instead of life partners, engineers were starting to gleefully decouple storage and compute with emerging technologies like Snowflake (2012), Databricks (2013), and BigQuery (2010). This had amazing advantages from both a cost and scale perspective compared to on-premises databases.

Metadata 52

Metadata Data Warehouse Data Lake Government 52

Edureka

JULY 18, 2023

The development of low-code and no-code AI platforms has made AI more available to companies of all sizes. As a result, more businesses will be able to use AI to streamline processes, enhance decision-making, and discover patterns in data. In the rapidly growing field of artificial intelligence, the search for the top AI firms continues. As we move closer to 2023, the demand for advanced technology and novel ideas has increased significantly.

Manufacturing 40

Manufacturing Amazon Web Services Algorithm Machine Learning 40

Monte Carlo

JULY 18, 2023

Data engineers discovered the benefits of conscious uncoupling around the same time as Gwyneth Paltrow and Chris Martin in 2014. Of course, instead of life partners, engineers were starting to gleefully decouple storage and compute with emerging technologies like Snowflake (2012), Databricks (2013), and BigQuery (2010). This had amazing advantages from both a cost and scale perspective compared to on-premises databases.

Metadata 40

Metadata Data Warehouse Data Lake Government 40

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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.

BI

Edureka

JULY 18, 2023

In the constantly changing world of technology, artificial intelligence has become a potent tool for transforming sectors all over the world. The banking industry is at the forefront of integrating AI, one of its many transformational uses. Today, we explore the top five ground-breaking uses of artificial intelligence in banking as we delve into the realm of money.

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Banking Algorithm Media Machine Learning 40

phData: Data Engineering

JULY 18, 2023

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes. In this ideal world, your company no longer has to rely on gut decisions, important business questions are accurately answered from a simple glance at a dashboard.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Edureka

JULY 18, 2023

The data analytics industry is booming. In 2022, the global market for data analytics was worth $271.83 billion, projected to grow to $745.15 billion by 2030. This growth is driven by the increasing amount of data generated, the need for businesses to make better decisions with data, and the rise of new technologies such as artificial intelligence and machine learning.

Data Analytics 40

Data Analytics Telecommunication Retail Manufacturing 40

Snowflake

JULY 18, 2023

For many businesses, gathering compliance data means manually collecting PDFs and screenshots. That’s a slow and laborious process, but anecdotes AI streamlines compliance and eliminates redundant work with its advanced compliance data infrastructure. Discover how the company built its platform on Snowflake. Compliance is one of the few business processes that requires input and collaboration from every area of a company.

Data Process 52

Data Process Process Data Lake BI 52

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science