Snowflake

APRIL 13, 2023

That’s why Snowflake launched the Manufacturing Data Cloud , a global network designed to help manufacturers unlock the value of their critical data and collaborate with their partners, suppliers, and customers in a secure and scalable way. Build a secure, scalable data foundation: Data silos can have many consequences for manufacturers.

Manufacturing 71

Manufacturing Cloud Data Consolidation Consulting 71

Cloudera

APRIL 21, 2021

You can learn more about how we moved to CDP [ADD WEBINAR DETAILS]. The most important step in a successful upgrade to CDP Private Cloud Base is understanding your environment. Despite these challenges, we knew we wanted to go to CDP Private Cloud. In this blog, we discuss our journey to CDP for this critical cluster.

Cloud 121

Cloud Professional Services Java Data Warehouse 121

Precisely

JANUARY 3, 2023

Supply chain automation technologies can have a big role to play when it comes to providing end-to-end visibility and risk mitigation for complex, data-intensive SAP processes in supply chain. Another highlight to note is that the key objectives for process automation are continuing to become more strategic over time.

Process 59

Process Data Governance Algorithm Data Integration 59

Cloudera

APRIL 29, 2021

on all three major cloud platforms, and it also brings Flow Management on DataHub with Apache NiFi 1.13.2 If you missed it, Cloudera gave a webinar about NiFi’s monitoring capability, and you can watch the replay on demand. Empty all queues : you can now empty all queues of a process group in one click. NiFi’s monitoring.

Cloud 77

Cloud Amazon Web Services Google Cloud Data Lake 77

Cloudera

AUGUST 16, 2021

We just announced Cloudera DataFlow for the Public Cloud (CDF-PC), the first cloud-native runtime for Apache NiFi data flows. The need for a cloud-native Apache NiFi service. A technical look at Cloudera DataFlow for the Public Cloud. This is what Cloudera DataFlow for the Public Cloud offers to NiFi users.

Cloud 121

Cloud Unstructured Data Utilities Metadata 121

Snowflake

OCTOBER 16, 2024

Many of our customers — from Marriott to AT&T — start their journey with the Snowflake AI Data Cloud by migrating their data warehousing workloads to the platform. The company migrated from its outdated Teradata appliance to the Snowflake AI Data Cloud to resolve performance issues and meet growing data demands.

Digital Media 82

Digital Media Media Data Lake Data Warehouse 82

Snowflake

DECEMBER 11, 2023

A lot of the pre-processing done by Fivetran and use of dbt packages in those first two steps accelerates our time to deployment from weeks to one or two business days. For more on how our Marketing Intelligence team stays on the cutting edge, join us for our webinar, Building a Robust Digital Ads Ecosystem to Maximize ROAS.

Building 92

Building Cloud Media Algorithm 92

Cloudera

DECEMBER 15, 2022

Today, we are thrilled to share some new advancements in Cloudera’s integration of Apache Iceberg in CDP to help accelerate your multi-cloud open data lakehouse implementation. Multi-cloud deployment with CDP public cloud. Multi-cloud capability is now available for Apache Iceberg in CDP. Advanced capabilitie.

Cloud 78

Cloud Metadata Google Cloud Data Warehouse 78

Snowflake

OCTOBER 23, 2024

Imagine a biotech company successfully integrating AI into its research and development (R&D) processes. Clinical text summarization: With natural language processing, AI can quickly summarize large volumes of clinical data, pulling out the important bits for researchers in no time.

Government 82

Government Algorithm Cloud Data Governance 82

Cloudera

DECEMBER 14, 2020

We’ve seen organizations invest in big data solutions, and now, we’ve increasingly seen them want to build on that investment and move towards building a modern architecture that’ll help them leverage stream processing and streaming analytics. Cloudera Data Platform (CDP) is the new data cloud built for the enterprise.

Process 70

Process Kafka Government Big Data 70

Snowflake

JUNE 3, 2024

Greater interoperability not only reduces the complexity and costs associated with using many tools and processing engines in parallel, but it would also reduce potential risks associated with vendor lock-in. Polaris Catalog builds on standards created by the Iceberg community to address the challenges described above.

Amazon Web Services 126

Amazon Web Services Google Cloud Data Architect Government 126

Data Engineering Podcast

MAY 11, 2020

His most recent endeavor at StreamNative is focused on combining the capabilities of Pulsar with the cloud native movement to make it easier to build and scale real time messaging systems with built in event processing capabilities. Go to dataengineeringpodcast.com/tidydata today and get started for free with no credit card required.

Cloud 100

Cloud Lambda Architecture Kafka Hadoop 100

Snowflake

FEBRUARY 8, 2023

Companies are abandoning more traditional, on-premises IT infrastructures and moving to more centralized “as a service” (XaaS) models of delivery enabled by cloud technologies, according to McKinsey. Cloud-based infrastructures let you store and share unlimited amounts of data at a low cost, unrestricted by data silos or formats.

Retail 52

Retail Cloud Food BI 52

Cloudera

JUNE 25, 2019

Cloudera Unveils Industry’s First Enterprise Data Cloud in Webinar. How do you take a mission-critical on-premises workload and rapidly burst it to the cloud? Can you instantly auto-scale resources as demand requires and just as easily pause your work so you don’t run up your cloud bill? An enterprise data cloud is: .

Cloud 86

Cloud Entertainment Government Machine Learning 86

Snowflake

JULY 11, 2024

As a result, operational processes are evolving to accommodate increased content production and distribution channels, including streaming platforms, social media networks, podcast platforms and virtual reality environments. A streamlined media supply chain helps fuel commercial success. New revenue streams. Easier collaboration.

Media 74

Media Entertainment Cloud Metadata 74

Cloudera

SEPTEMBER 1, 2022

Additionally, a big share of HBase applications are deployed on premises and there’s been an ever-growing need for an easy way to move these applications to the public or hybrid cloud while maintaining enterprise-grade security and governance. Here are the top five reasons why COD is an obvious choice: Built for the cloud.

Database 83

Database Cloud NoSQL SQL 83

Snowflake

APRIL 23, 2024

Additionally, because the Snowflake Connector for ServiceNow is a Snowflake Native App built in the Data Cloud using the Snowflake Native App Framework , it leverages Snowflake’s built-in security and simplified governance capabilities. Once configured, the data will automatically refresh based on your desired frequency.

Data Warehouse 98

Data Warehouse Data Integration Consulting Metadata 98

Knowledge Hut

AUGUST 18, 2023

With the rise of cloud computing, there’s no better time to explore the top Google Cloud Certifications that can take your career to new heights. Having gone through the process myself, I can attest to the immense value & recognition that comes with earning a Google Cloud Certification.

Google Cloud 52

Google Cloud Certification Cloud Cloud Computing 52

ThoughtSpot

SEPTEMBER 6, 2023

Those coveted insights live at the end of a process lovingly known as the data pipeline. To deploy a SpotApp, it is essential to have your data available in a cloud data platform. When it comes to the process of extracting, loading, and transforming your data for analytics, Fivetran is a trusted leader in data movement.

Data Workflow 105

Data Workflow Raw Data Data Lake Business Intelligence 105

Cloudera

APRIL 27, 2022

Despite this, only a handful of organisations interact with all stages of the data life cycle process to truly distill information that distinguishes future-ready businesses from the rest. Data in motion consists of three distinct elements: data flow, message streams, and stream processing and analytics. .

IT 98

IT Manufacturing Telecommunication Banking 98

Snowflake

JULY 31, 2024

To accomplish these goals, AMCs need a modern data strategy that includes a robust, cloud-based data foundation and capabilities such as generative AI, data and AI applications, easy access to third-party data, and seamless data sharing and collaboration. Critically, legacy systems can also create serious data privacy and security issues.

Medical 86

Medical Healthcare Insurance Hospitality 86

Data Engineering Weekly

JUNE 2, 2024

[link] Uber: Modernizing Uber’s Batch Data Infrastructure with Google Cloud Platform Uber is one of the largest Hadoop installations, with exabytes of data. Register for this webinar to get a behind the scenes look at how to implement this next-gen monitoring to proactively identify abnormal Snowflake usage.

Data Engineering 103

Data Engineering Data Engineer Engineering Pipeline-centric 103

Snowflake

SEPTEMBER 17, 2024

Financial institutions need to be able to address all of the above while still processing and analyzing the vast amounts of trading data essential for maintaining a competitive edge — no easy task. But Snowflake has simplified the process of joining and micro-segmenting time ranges.

Banking 69

Banking SQL Python Database 69

Precisely

MAY 16, 2024

Watch the webinar AI You Can Trust Watch this webinar and see how we explore organizational challenges in maintaining data integrity for AI applications and real-world use cases showcasing the transformative impact of high-integrity data on AI success. For more, watch the on-demand webinar: AI You Can Trust.

Amazon Web Services 69

Amazon Web Services AWS Data Integration Datasets 69

Cloudera

MAY 7, 2024

Data needs to be shared in real time so it can be embedded deeper into everyday operational processes across the organization that are working from the same ground-truth. Kubernetes has earned that position due to a number of factors Commitment to open source Automation tools Scalability Cloud-agnostic flexibility.

Kafka 70

Kafka Data Lake Cloud Computing Cloud 70

Snowflake

APRIL 9, 2024

However, that data must be ingested into our Snowflake instance before it can be used to measure engagement or help SDR managers coach their reps — and the existing ingestion process had some pain points when it came to data transformation and API calls. But that’s not all. Outcome data goes back into the system to train the model.

BI 78

BI Data Ingestion Data Aggregated Data 78

Snowflake

FEBRUARY 8, 2024

Snowflake’s Global Head of Manufacturing Tim Long says smart manufacturing — the use of advanced technologies to improve the efficiency of traditional processes — is a “huge area of interest” that industry leaders can supercharge with data and AI. Data collaboration is the process of gathering and sharing data from various sources.

Manufacturing 85

Manufacturing Metadata Data Technology 85

Snowflake

MARCH 2, 2023

Rather than streaming data from source into cloud object stores then copying it to Snowflake, data is ingested directly into a Snowflake table to reduce architectural complexity and reduce end-to-end latency. And if you are using Amazon Managed Streaming for Apache Kafka (MSK), you can get started using this guided demo.

Kafka 126

Kafka Data Ingestion Data Pipeline Cloud Storage 126

Snowflake

JULY 24, 2024

Snowflake calls this Snowgrid , a cross-cloud technology layer that interconnects your application with more than 9,800 (as of April 2024) other organizations in the AI Data Cloud, facilitating live connections with your customers, partners and other third-party providers, no matter which cloud provider they are on.

ETL Method 83

ETL Method Cloud Government Insurance 83

Knowledge Hut

NOVEMBER 2, 2023

An Azure DevOps Engineer specializes in using Microsoft's Azure DevOps services and tools to streamline and optimize the software development and deployment process. This role primarily focuses on implementing and managing DevOps practices within an organization in Microsoft's Azure cloud platform. Automate processes wherever feasible.

Recruitment 52

Recruitment Cloud Computing Certification Machine Learning 52

Precisely

SEPTEMBER 12, 2023

Instead of excluding traditional systems from your cloud projects and making decisions based on data you can’t trust, you need to look for data integrity solutions that handle all the underlying complexities of this technology stack and work with Confluent.

Kafka 52

Kafka Data Integration Data Pipeline Datasets 52

Snowflake

FEBRUARY 20, 2024

By embracing sustainable practices, telecoms can not only contribute to a greener future but also reap several benefits, including: Revenue growth: Climate change is expected to drive increased demand for telecom services as companies across industries seek to reduce their carbon footprint through remote work, digitization and cloud-based solutions.

Telecommunication 88

Telecommunication Cloud Computing Architecture Cloud 88

Cloudera

APRIL 22, 2022

Part of this emphasis extends to helping enterprises deal with their data and overall cloud connectivity as well as local networks. At the same time, operators are also becoming more data- and cloud-centric themselves. What is needed is a broader view of the “networked cloud” , not just the “telco cloud” that many like to discuss.

Data Solutions 133

Data Solutions Amazon Web Services Data Storage Google Cloud 133

Precisely

OCTOBER 19, 2023

Spatial analytics is the process of conducting an analysis of data with a geographic or spatial component. Learn more in our webinar, MapInfo Pro v2023: The Next Dimension in Spatial Analytics. Let’s explore more on what spatial analytics is, why it matters, and what you need to get started and deliver the best results?

Telecommunication 64

Telecommunication Retail Transportation Insurance 64

Data Engineering Weekly

MAY 5, 2024

[link] Sponsored: Navigating Aquaculture with Embedded Analytics How Scoot Science Charted Its Journey with a Universal Semantic Layer Learn how Scoot Science optimized their embedded aquaculture analytics platform through a universal semantic layer in our upcoming webinar on May 15th at 9 AM PT / 12 PM ET.

Data Engineering 67

Data Engineering Data Engineer Engineering Google Cloud 67

Precisely

MARCH 10, 2023

The Rise of Cloud Analytics Data analytics has advanced rapidly over the past decade. As organizations digitize more business processes, including many consumer interactions, the volume and velocity of data skyrocket. That effort led to a dramatic shift toward the cloud. For example: How do you standardize the data?

Datasets 59

Datasets Data Warehouse Big Data Data Analytics 59

Cloudera

MAY 4, 2022

AI has the potential to transform operations by improving three fundamental business requirements: process automation, decision-making based on data insights, and customer interaction. In simple terms an AI process can out-perform a human at very specific tasks. Process acceleration. Faster decisions . The future is now.

Insurance 128

Insurance Retail Finance Medical 128