Cloudera

SEPTEMBER 7, 2023

There’s also the risk of various forms of data leakage, including intellectual property (IP) as well as personally identifiable information (PII) especially with commercial AI solutions. That said, Generative AI and LLMs appear to do all of these things, producing original, “creative” outputs by learning from input data.

Insurance 81

Insurance Finance Portfolio Government 81

Knowledge Hut

MARCH 27, 2024

Data tracking is becoming more and more important as technology evolves. A global data explosion is generating almost 2.5 quintillion bytes of data today, and unless that data is organized properly, it is useless. What Is Big Data Analytics? Some important big data processing platforms are: Microsoft Azure.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Cloudera

NOVEMBER 25, 2021

As data continues to grow at an exponential rate, our customers are increasingly looking to advance and scale operations through digital transformation and the cloud. Cloudera and AWS: Harnessing the Power of Data and Cloud . Key advantages to leveraging a hybrid approach include include: .

Amazon Web Services 88

Amazon Web Services Cloud AWS Healthcare 88

Precisely

APRIL 3, 2023

Data is one of the most valuable assets in most modern organizations. In today’s world, data comes from diverse sources, in different types and formats, and at varying speeds. Those systems are ill-suited to keep pace with businesses that need to ingest and analyze data in real time.

ETL System 52

ETL System Transportation Architecture Manufacturing 52

Data Engineering Podcast

NOVEMBER 16, 2020

Summary The core mission of data engineers is to provide the business with a way to ask and answer questions of their data. This often takes the form of business intelligence dashboards, machine learning models, or APIs on top of a cleaned and curated data set.

Data Management 100

Data Management Management BI Business Intelligence 100

Cloudera

MARCH 17, 2022

Data is the true currency of the digital age, and it plays an indispensable role in defining and accelerating the mission of Government agencies. . Every level of government is awash in data (both structured and unstructured) that is perpetually in motion. The Value of Public Sector Data.

Transportation 83

Transportation Government Consulting Machine Learning 83

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use. People selling information.

Data Governance 73

Data Governance Government Machine Learning Data Science 73

Knowledge Hut

JANUARY 17, 2024

These hacks often disrupt normal business operations, extort payment from users, or access, alter, or delete important data. Putting effective Cybersecurity safeguards in place in the modern world is challenging since there are more devices than people, and hackers are becoming more inventive. Why choose cybersecurity as a career?

Consulting 52

Consulting Certification Government Cloud 52

Cloudera

OCTOBER 17, 2023

The adoption of Flink mirrors growth in streaming data volumes and maturity of the streaming market. Use cases such as fraud monitoring, real-time supply chain insight, IoT-enabled fleet operations, real-time customer intent, and modernizing analytics pipelines are driving development activity. Expecting a product to be GA’d.

Database-centric 77

Database-centric Kafka Pipeline-centric Database 77

Ascend.io

JULY 28, 2023

Data pipelines are integral to business operations, regardless of whether they are meticulously built in-house or assembled using various tools. As companies become more data-driven, the scope and complexity of data pipelines inevitably expand. Ready to fortify your data management practice? That’s where we step in.

Data Pipeline 52

Data Pipeline Architecture Lambda Architecture Data Architecture 52

Snowflake

JUNE 8, 2023

Expectations from customers and business partners have changed, making modernization even more critical. As companies strive to be data-driven, they recognize that the transformation requires a new way of operating. They extend to external partner and supplier data. And, that hope starts with thinking about how we use the data.

Aggregated Data 69

Aggregated Data Raw Data Telecommunication Data 69

AltexSoft

JUNE 26, 2023

All successful companies do it: constantly collect data. While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

OCTOBER 20, 2021

With so many pseudo-data scientists cropping up due to numerous data science bootcamps and courses that offer theoretical learning, the interview questions for AI and machine learning jobs are getting streamlined to filter those who understand how real-world implementation works. Gartner is a market leader in market research.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

Cloudera

JANUARY 22, 2019

Today’s data landscape is characterized by exponentially increasing volumes of data, comprising a variety of structured, unstructured, and semi-structured data types originating from an expanding number of disparate data sources located on-premises, in the cloud, and at the edge. What is Big Data Fabric?

Big Data 44

Big Data NoSQL Data Lake Hadoop 44

ProjectPro

NOVEMBER 15, 2021

The adaptability and technical superiority of such open-source big data projects make them stand out for community use. As per the surveyors, Big data (35 percent), Cloud computing (39 percent), operating systems (33 percent), and the Internet of Things (31 percent) are all expected to be impacted by open source shortly.

Big Data 52

Big Data Project Metadata Programming Language 52

Databand.ai

DECEMBER 29, 2022

The Top Data Strategy Influencers and Content Creators on LinkedIn Eitan Chazbani 2022-12-29 14:08:41 What’s the latest in the data world? When it comes to LinkedIn (and beyond) here are our recommendations for the top 25 data strategy influencers and content creators to keep tabs on. So who should you be following?

BI 52

BI Consulting Data Science Data Governance 52

Striim

FEBRUARY 5, 2024

Organizations are grappling with the increasing complexity and diversity of their data sources. Traditional approaches often fall short in addressing the challenges posed by disparate data silos, and there arises a need for a more cohesive and integrated solution. What is Data Fabric?

Pharmaceutical 52

Pharmaceutical Data Cleanse Metadata Medical 52

Databand.ai

DECEMBER 20, 2022

The Top Data Analytics and Science Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-20 11:06:32 If you’re looking to brush up on all things data analytics and science, then LinkedIn certainly has no shortage of content. But for all the nuggets of wisdom, there’s a lot of noise to sift through.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

Towards Data Science

OCTOBER 7, 2023

Here are 5 popular applications data teams at OpenAI, Vimeo, and other companies are putting into practice today. The hype around generative AI is real, and data and ML teams are feeling the heat. Let’s explore how a few key sectors are putting gen AI to use. Image courtesy of author.

Unstructured Data 76

Unstructured Data Finance SQL Media 76

Snowflake

JUNE 6, 2023

Today’s governmental and educational organizations can’t fully use the wealth of data they possess to improve citizen and student outcomes. Government agencies often deal with disparate and siloed data that can impact real-time decision-making. Canada, Australia, and the U.K., Canada, Australia, and the U.K.,

Education 52

Education Government Cloud Amazon Web Services 52