Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains. Digital Transformation is not without Risk.

Manufacturing 108

Manufacturing Retail Entertainment Government 108

Snowflake

MARCH 23, 2023

Focusing on the internet as our social fabric, the strategy describes how the internet can be used for harm (for example, ransomware, IP theft, malicious attacks, and data breaches) and areas of the world where threat actors have the support of a nation state with vast resources.

Government 67

Government Data Governance Certification Programming 67

Precisely

MARCH 27, 2023

Transforming Go-to-Market After years of acquiring and integrating smaller companies, a $37 billion multinational manufacturer of confectionery, pet food, and other food products was struggling with complex and largely disparate processes, systems, and data models that needed to be normalized. million in annual recurring savings.

Food 52

Food Consulting Pharmaceutical Data Lake 52

DataKitchen

NOVEMBER 18, 2021

In our survey, data engineers cited the following as causes of burnout: The relentless flow of errors. Restrictive data governance Policies. For see the entire results of the data engineering survey, please visit “ 2021 Data Engineering Survey: Burned-Out Data Engineers are Calling for DataOps.”.

Data Engineering 98

Data Engineering Data Engineer Engineering Government 98

Cloudera

MAY 18, 2022

That means developing scenarios in which AI can boost efficiency, productivity, and process optimization through AI-enabled data analytics and automation. . For instance, a manufacturer that places sensors on equipment to capture data should have a plan for that data. Will the data have other uses? Bottom line.

Manufacturing 92

Manufacturing Retail High Quality Data Algorithm 92

Knowledge Hut

NOVEMBER 16, 2023

A product-based company is a company that primarily manufactures products that may or may not be related to software. The difference is simple: product-based companies manufacture/create and sell their products, whereas service-based industries help run a backup for these services. So, let's begin! What Is a Product-based Company?

Manufacturing 52

Manufacturing Electronics Amazon Web Services Certification 52

Monte Carlo

JANUARY 16, 2024

Easier to stream real-time data As data needs have changed, standards for data freshness and latency have come closer to real time. In industries like finance, ecommerce, and manufacturing, we’re going to see the rise of solutions that reduce the complexity of writing code to build real-time streaming pipelines.

Data Lake 52

Data Lake Data Warehouse Unstructured Data AWS 52

Data Science Blog: Data Engineering

NOVEMBER 15, 2023

Machine Learning for Process and Task Mining on Text and Video Data Process Mining and Task Mining is already benefiting a lot from Text Recognition (Named-Entity Recognition, NER) by Natural Lamguage Processing (NLP) by identifying events of processes e.g. in text of tickets or e-mails.

Architecture 52

Architecture Database-centric Process BI 52

Cloudera

DECEMBER 11, 2020

This had a direct impact on the analytics initiatives and use cases of most of the teams throughout the business, including research and development and manufacturing and quality domains, which relied heavily on analytic insight from their data to drive business success. . Underpinning everything with security and governance.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Knowledge Hut

MARCH 26, 2024

Extensive experience in data architecture, database design, and data warehousing. Proficiency in database technologies such as SQL, NoSQL, and Big Data platforms. Strong understanding of data governance, security, and compliance requirements.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Data Engineering Podcast

MARCH 18, 2019

Links Download the "DataOps Cookbook" Data Kitchen Peace Corps MIT NASA Meyer’s Briggs Personality Test HBR (Harvard Business Review) MBA (Master of Business Administration) W. Edwards Deming DevOps Lean Manufacturing Tableau Excel Airflow Podcast. Edwards Deming DevOps Lean Manufacturing Tableau Excel Airflow Podcast.

Data Lake 100

Data Lake Machine Learning Manufacturing Deep Learning 100

Monte Carlo

FEBRUARY 21, 2023

Improved security and governance When data resides in multiple places in multiple forms across an organization, governing that data and ensuring its security is a constant challenge. A data fabric infuses data governance and security across all forms of data, no matter its origin or destination within the organization.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

Improved security and governance When data resides in multiple places in multiple forms across an organization, governing that data and ensuring its security is a constant challenge. A data fabric infuses data governance and security across all forms of data, no matter its origin or destination within the organization.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

JANUARY 12, 2024

Real-time, automated decision making Machine learning (ML) and artificial intelligence (AI) are already being successfully employed in industries like healthcare, for detection and diagnosis, and manufacturing, where intelligent systems track wear and tear on parts.

Big Data 59

Big Data Data Analytics Data Science Data Lake 59

DataKitchen

JUNE 12, 2023

We had been talking about “Agile Analytic Operations,” “DevOps for Data Teams,” and “Lean Manufacturing For Data,” but the concept was hard to get across and communicate. I spent much time de-categorizing DataOps: we are not discussing ETL, Data Lake, or Data Science.

ETL Tools 52

ETL Tools Data Science Data Lake Hadoop 52

Monte Carlo

MARCH 28, 2023

A good description of these core responsibilities can be sen in an Amica Mutual Insurance job description: Responsible for creating and implementing an enterprise-wide Data Quality (DQ) strategy by working with business and technology partners to ensure alignment and dedication to objectives.

Insurance 59

Insurance Programming Language Manufacturing Healthcare 59

Databand.ai

JANUARY 24, 2023

DataOps helps solve this challenge by democratizing access to data for users of all kinds, particularly when it comes to answering data-related questions efficiently and effectively via self-service. DataOps is based on principles from the Agile methodology, DevOps, and lean manufacturing. What are the Elements of DataOps?

Retail 52

Retail Banking Government Manufacturing 52

Knowledge Hut

JANUARY 18, 2024

The rise of microservices and data marketplaces further complicates the data management landscape, as these technologies enable the creation of distributed and decentralized data architectures. Moreover, they require a more comprehensive data governance framework to ensure data quality, security, and compliance.

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 52

Cloudera

MAY 12, 2021

Should you find yourself looking for inspiration for your entry, we encourage you to have a look at the incredible work of last year’s data superheroes. With use cases across Manufacturing, Financial Services, Healthcare, and beyond, our customers showcased immense innovations in tackling some big challenges.

Food 66

Food Healthcare Government Medical 66

AltexSoft

MARCH 2, 2023

As the amount of enterprise data continues to surge, businesses are increasingly recognizing the importance of data governance — the framework for managing an organization’s data assets for accuracy, consistency, security, and effective use. Projections show that the data governance market will expand from $1.81

Data Governance 52

Data Governance Government Healthcare Programming 52

Monte Carlo

JANUARY 9, 2024

At that point, when “…you have really important data products that are doing useful things, that’s the time where you probably need data contracts the most. But it is going to require some organizational work to convince and work with the upstream teams that this is important for data governance.”

Pipeline-centric 52

Pipeline-centric Database-centric Data Manufacturing 52

Knowledge Hut

JUNE 27, 2023

It helps to exchange data and interact with each other without human intervention. Applications: Healthcare, transportation, agriculture, and manufacturing. Plus, there will be concerns around data privacy and security, necessitating the need for robust data governance frameworks.

Computer Science 52

Computer Science Entertainment Healthcare Finance 52

Knowledge Hut

JULY 3, 2023

Real-time data ingestion often deals with various systems logs from various sectors like manufacturing, finance, cybersecurity, and e-commerce. Operational Analytics: Real-Time data ingestion strengthens attributes of monitoring and analyzing operational data in real-time.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

Cloudera

MAY 9, 2019

Data readiness – These set of metrics help you measure if your organization is geared up to handle the sheer volume, variety and velocity of IoT data. It is meant for you to assess if you have thought through processes such as continuous data ingestion, enterprise data integration and data governance.

Manufacturing 53

Manufacturing Data Ingestion Architecture Data Governance 53

dbt Developer Hub

JULY 13, 2022

Remember the source data change Joanne noticed — a manufacturing cost was dated incorrectly (Junkuary 2022 instead of January 2022). Joanne executes a dbt run again on February 3rd. This would change the grain of these stg_ tables, so she would see a row for each version of each field.

Electronics 59

Electronics BI Raw Data Manufacturing 59

Cloudera

NOVEMBER 12, 2020

Alternatively, you can also spin up a different compute cluster and access the data by using CDP’s Shared Data Experience. This feature ensures workloads remain in context with all common data, including metadata management, data governance, and security policies. More than likely it is.

Cloud 102

Cloud Data Warehouse Banking Data 102

Monte Carlo

AUGUST 30, 2023

Also, remember data governance. Stored test failure data should adhere to your relevant policies or regulations, including data privacy and security, and is only made accessible to the appropriate team members. There are some limits to keep in mind as you build a dbt testing discipline.

SQL 52

SQL Datasets Database High Quality Data 52

AltexSoft

AUGUST 29, 2023

Together, these components form a critical layer that not only supports but enhances the capabilities of a data lake, ensuring its effectiveness and security across the entire architecture. Data lakes can handle this volume and variety, allowing industries to make more informed decisions.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

ProjectPro

MAY 1, 2018

(Source : [link] ) Zoomlion using Cloudera to boost big data platform.Telecomasia.net, April 13, 2018. Zoomlion, the chinese construction machinery and sanitation equipment manufacturer adopted Cloudera’s big data platform to serve its growing big data needs. where plain Hadoop was at 1.0

Hadoop 40

Hadoop Banking Healthcare Food 40

ProjectPro

JUNE 1, 2017

Google Cloud Platform (GCP) has witnessed several wins for its big data services with a major one being for Spotify which stated that it is willing to trade openness for convenience and extra capability. Moreover, big data and hadoop workloads make more sense off premise.

Hadoop 52

Hadoop Medical Pipeline-centric Database-centric 52

Precisely

MAY 1, 2023

Virtually every enterprise on the planet invests heavily in data. Integration, data quality, data governance, location intelligence, and enrichment are driving trust and delivering value. How can organizations maximize their ROI on their investments in data integrity?

Food 52

Food Consulting Pharmaceutical Manufacturing 52

Precisely

MAY 4, 2023

A broken data pipeline might bring operational systems to a halt, or it could cause executive dashboards to fail, reporting inaccurate KPIs to top management. Is your data governance structure up to the task? Read What Is Data Observability? The application of this concept to data is relatively new.

Data 52

Data Data Pipeline Manufacturing Machine Learning 52

U-Next

AUGUST 11, 2022

Motives For Working As A Data Analyst In 2022. This will not only boost productivity and encourage wider use inside businesses, but it would also solve some of the issues brought on by the lack of data scientists.

Data Analytics 40

Data Analytics Data Machine Learning Data Science 40

AltexSoft

JULY 29, 2022

a runtime environment (sandbox) for classic business intelligence (BI), advanced analysis of large volumes of data, predictive maintenance , and data discovery and exploration; a store for raw data; a tool for large-scale data integration ; and. a suitable technology to implement data lake architecture.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

AltexSoft

MAY 12, 2023

Video analytics involves extracting significant information from video data, such as identifying patterns, objects, or activities within the footage. This technology can serve numerous purposes, including security and surveillance, customer behavior analysis, and quality control in manufacturing. Invest in data governance.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59