Cloudera

DECEMBER 1, 2023

These government-led efforts have had a profound impact on the development and adoption of AI solutions in the public sector, paving the way for a future where data-driven decision-making and automation are the norm. This requires a holistic approach that addresses the key areas of security, governance, and trustworthy data.

Data Governance 106

Data Governance Data-driven Strategy Data Architecture 106

Data Science 101

SEPTEMBER 6, 2023

There have been some pretty big advancements in both recently, and I think we’ll be seeing the results of that pretty soon in commercial tech. Having the ability to “load in” vast amounts of information and data, then being able to speak directly to the data, is invaluable for progress. Thanks for having me!

Interactive 111

Interactive IoT Sales Modeling 111

CIO Business Intelligence

DECEMBER 13, 2023

When I think about unstructured data, I see my colleague Rob Gerbrandt (an information governance genius) walking into a customer’s conference room where tubes of core samples line three walls. While most of us would see dirt and rock, Rob sees unstructured data. have encouraged the creation of unstructured data.

Unstructured Data 97

Unstructured Data IoT Metadata Manufacturing 97

CIO Business Intelligence

APRIL 30, 2024

Finding a new job when you’re in transition has different challenges than hopping from one job to another does. Following are five ways to uncover opportunities and keep yourself primed for new leadership challenges. Start a blog or contribute articles to media sites and other established blogs.

IT 88

IT Technology Advertising Marketing 88

datapine

MAY 28, 2019

BI projects aren’t just for the big fishes in the sea anymore; the technology has developed rapidly, the software has become more accessible while business intelligence and analytics projects implemented in various industries regularly, no matter the shape and size, small businesses or large enterprises. Maximum security and data privacy.

Business Intelligence 317

Business Intelligence KPI Dashboards Reporting 317

AWS Big Data

JULY 20, 2023

This post is co-written with Eliad Gat and Oded Lifshiz from Orca Security. With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. Why did Orca build a data lake? To overcome these issues, Orca decided to build a data lake.

Data Lake 84

Data Lake Analytics Snapshot Optimization 84

CIO Business Intelligence

MAY 6, 2022

Google Cloud Platform (GCP) is set to release two new solutions targeted at the manufacturing sector and aiming to ease data engineering and analytics tasks, unifying data from diverse machine assets to offer business insights to factory managers. Edge-cloud connection helps data extraction.

Manufacturing 139

Manufacturing Analytics Machine Learning IoT 139

Cloudera

AUGUST 30, 2022

Data-fuelled innovation requires a pragmatic strategy. This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization. For example, providers can start by including more real-time data streams that can enhance customer interactions.

Strategy 103

Strategy Data Strategy ROI Cost-Benefit 103

DataKitchen

FEBRUARY 2, 2023

We’ve read many predictions for 2023 in the data field: they cover excellent topics like data mesh, observability, governance, lakehouses, LLMs, etc. What will the world of data tools be like at the end of 2025? Central IT Data Teams focus on standards, compliance, and cost reduction. Recession: the party is over.

Metadata 130

Metadata Testing Risk Data Science 130

Cloudera

JUNE 13, 2023

Australia and New Zealand Banking Group (ANZ), one of Australia’s Big Four banks and one of New Zealand’s top banks, offers commercial and retail banking and financial services from more than 1,100 branches and offices.

Data-driven 77

Data-driven Analytics Insurance Digital Transformation 77

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 Big Data Ecosystem.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Laminar Security

OCTOBER 17, 2023

Mapping, classifying, and reporting on data in the cloud is challenging for many companies, and the more cloud-centric the company, the greater the challenge. They are dealing with massive amounts of data and are subject to new and changing regulations. What is data discovery and classification?

IT 94

IT Risk Cost-Benefit Dashboards 94

IBM Big Data Hub

MAY 19, 2023

According to the research, organizations are adopting cloud ERP models to identify the best alignment with their strategy, business development, workloads and security requirements. Furthermore, TDC Digital had not used any cloud storage solution and experienced latency and downtime while hosting the application in its data center.

Unstructured Data 79

Unstructured Data Data Processing Manufacturing Data Lake 79

CDW Research Hub

APRIL 18, 2022

Security teams are constantly challenged to identify security incidents that truly matter and respond to them before they become a serious threat to business operations. The proliferation of data only complicates matters. Security data lakes can reduce organizations’ reliance on SIEM solutions.

Data Lake 75

Data Lake Enterprise Data Collection Risk 75

AWS Big Data

JANUARY 22, 2024

The company uses AWS Cloud services to build data-driven products and scale engineering best practices. To ensure a sustainable data platform amid growth and profitability phases, their tech teams adopted a decentralized data mesh architecture. The solution Acast implemented is a data mesh, architected on AWS.

Data-driven 82

Data-driven Advertising Metadata Data Architecture 82

Cloudera

OCTOBER 31, 2023

This kind of question lends itself perfectly to data science approaches that enable quick and intuitive analysis of data across multiple sources. They released a blog this year with the results from their annual data mining, it includes the top 3 candies purchased for each state and the quantity purchased in pounds.

Data mining 78

Data mining Machine Learning Data Science Sales 78

Smart Data Collective

OCTOBER 25, 2020

Machine learning and other big data technology has played an important role in the direction of the market. This blog discusses cryptocurrency transactions and whether or not they’re secure. AI and other big data technology has made it a lot easier to keep track of these transactions and assess patterns.

Machine Learning 144

Machine Learning Big Data Technology Publishing 144

Cloudera

AUGUST 9, 2022

With all of the buzz around cloud computing, many companies have overlooked the importance of hybrid data. The truth is, the future of data architecture is all about hybrid. As a leader in hybrid data, Cloudera is positioned to help organizations take on the challenge of managing and analyzing data wherever it resides.

Data Architecture 89

Data Architecture Data Strategy Strategy Data-driven 89

DataKitchen

AUGUST 5, 2021

In our last post, we summarized the thinking behind the data mesh design pattern. In this post (2 of 5), we will review some of the ideas behind data mesh, take a functional look at data mesh and discuss some of the challenges of decentralized enterprise architectures like data mesh. Data Mesh Architecture Example.

Enterprise 246

Enterprise Management Data Processing Analytics 246

DataKitchen

APRIL 11, 2023

He also highlighted the importance of agility and adaptability in data analytics. Using humor and wisdom, James shared his experiences with various data professionals, from data engineers and data scientists to analysts.

Data Analytics 130

Data Analytics Analytics Cost-Benefit Data Quality 130

Ontotext

JANUARY 10, 2024

The reason is that the inherent complexity of big enterprises is such that this is the simplest model that enables them to “connect the dots” across the different operational IT systems and turn the diversity of their business into a competitive advantage. This requires new tools and new systems, which results in diverse and siloed data.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Laminar Security

NOVEMBER 9, 2023

Data breaches increased by 156% between Q1 and Q2 alone. The numbers speak for themselves: today’s approach to data security isn’t working. Today’s data security strategies need new solutions, but unfortunately, many existing tools can only manage one piece of that much bigger and more complex puzzle. as the U.S.

Strategy 88

Strategy Risk Testing Recreation/Entertainment 88

IBM Big Data Hub

NOVEMBER 30, 2023

The IBM Security® X-Force® Threat Intelligence Index 2023 revealed that Asia Pacific experienced the most attacks globally (31% of total incidents X Force responded to) for the second year in a row. Businesses, regardless of their size, are recognizing the importance of a solid security strategy—especially having a strong SOC.

Cost-Benefit 72

Cost-Benefit Digital Transformation Data-driven Strategy 72

datapine

AUGUST 20, 2019

Businesses are going through a major change where business operations are becoming predominantly data-intensive. quintillions of bytes of data are being created each day. This pace suggests that 90% of the data in the world is generated over the past two years alone. Data has grown not only in terms of size but also variety.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Cloudera

MARCH 24, 2022

What are the Challenges and Opportunities in Telco Transformation? . A poll of participants inquiring as to the challenges to this transformation highlighted skills as the major area of weakness. That’s a new challenge for the “techco.” . Critical for Techcos: Data and AI . Telco loves its data!

Internet of Things 123

Internet of Things IoT Enterprise Data-driven 123

DataKitchen

OCTOBER 5, 2021

A DataOps Engineer owns the assembly line that’s used to build a data and analytic product. We find it helpful to think of data operations as a factory. We find it helpful to think of data operations as a factory. Most organizations run the data factory using manual labor. Figure 1: Ford assembly line, 1913.

Testing 157

Testing Dashboards Measurement Experimentation 157

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 109

IT Data Architecture Unstructured Data Big Data 109

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. What are its current challenges and opportunities? The Dawn of Telco Big Data: 2007-2012. The Explosion in Telco Big Data: 2012-2017. Where does it stand today?

Analytics 93

Analytics IoT Cost-Benefit Big Data 93

Cloudera

OCTOBER 30, 2023

The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications.

Analytics 76

Analytics Cost-Benefit ROI Business Objectives 76

DataKitchen

SEPTEMBER 21, 2023

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability In a world where 97% of data engineers report burnout and crisis mode seems to be the default setting for data teams, a Zen-like calm feels like an unattainable dream. What is Data in Place?

Testing 176

Testing Data Quality Predictive Modeling Metrics 176

AWS Big Data

SEPTEMBER 7, 2023

Customers of all sizes and industries use Amazon Simple Storage Service (Amazon S3) to store data globally for a variety of use cases. Customers want to know how their data is being accessed, when it is being accessed, and who is accessing it. With exponential growth in data volume, centralized monitoring becomes challenging.

Metadata 95

Metadata Dashboards Metrics Visualization 95

AWS Big Data

OCTOBER 9, 2023

Data lakes have been gaining popularity for storing vast amounts of data from diverse sources in a scalable and cost-effective way. As the number of data consumers grows, data lake administrators often need to implement fine-grained access controls for different user profiles.

Data Lake 117

Data Lake Testing Big Data Management 117

CIO Business Intelligence

MARCH 31, 2023

By Eric Chien, Director of Security Response, Symantec Enterprise Division, Broadcom This is a continuation of Broadcom’s blog series: 2023 Tech Trends That Transform IT. Stay tuned for future blogs that dive into the technology behind these trends from more of Broadcom’s industry-leading experts. There was no time.

Risk 52

Risk Enterprise Technology Modeling 52

AWS Big Data

MARCH 1, 2024

As they continue to implement their Digital First strategy for speed, scale and the elimination of complexity, they are always seeking ways to innovate, modernize and also streamline data access control in the Cloud. BMO has accumulated sensitive financial data and needed to build an analytic environment that was secure and performant.

Data Lake 95

Data Lake Data Warehouse Management Risk 95

Laminar Security

JULY 27, 2023

The Growing Challenges of Data Privacy and Data Protection Here’s an important truth: There is no data privacy without data protection. Consumers and companies place their trust in the organizations they do business with and trust that their sensitive data will be kept private. Not well, sadly.

Risk 65

Risk Big Data Enterprise Publishing 65