TIBCO - Connected Intelligence

JANUARY 11, 2021

This blog identifies five typical enemies on your path to MDM success and provides ways to make your position unassailable and their defeat inevitable. Underestimating data engineering workloads . Every MDM project requires that you understand, access, and integrate your source data in some way. Misfiring on compliance

Technical Advisors 54

Technical Advisors Data Data Engineering Compliance 54

Xebia

MARCH 10, 2021

In essence, this means the organisation wants to make better business decisions based on insights provided by data [4]. Data itself is not able to advise a business for better decision-making. Therefore these organisations introduce a new capability: Data & Analytics.

DevOps 130

DevOps Data Analytics Policies 130

Cloudera

DECEMBER 1, 2017

Vinithra Varadharajan , Philip Langdale , Jason Wang , and Fahd Siddiqui lead a deep dive into running data engineering workloads in a managed service capacity in the public cloud, highlighting cloud infrastructure best practices and illustrating how data engineering workloads interoperate with data analytic engines.

Big Data 40

Big Data Data Cloud Data Engineering 40

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Public cloud also introduces new challenges in governance, financial management and integration. What really excites Bobby about REAN Cloud is its people as we can see in this quote from his blog post: “ The REAN Cloud team is highly talented, passionate about cloud and big data engineering, and are clearly at the top of their fields.

Cloud 78

Cloud Google Cloud Azure AWS 78

Cloudera

FEBRUARY 19, 2018

With a modern, top-notch, in-memory columnar database it offers full coverage of all major industries and business processes, from data entry to finance, legal, compliance, production planning, and HR. It’s the de facto choice for all major corporations on the planet to manage their business data. Governance. Cataloging.

Data 48

Data Government Big Data Compliance 48

TIBCO - Connected Intelligence

MARCH 5, 2020

Over the past sixty years, technology has redefined how people live and work, how commerce occurs, how citizens and governments engage, and so much more. Data quality remains elusive – Diverse and evolving data definitions, syntax, structures, sources, and uses conspire to limit data efficacy. Reading Time: 3 minutes.

Technology 42

Technology Games Trends IoT 42

TIBCO - Connected Intelligence

OCTOBER 15, 2020

Towards these trends, our clients have significantly invested in data-related technologies and talent over the past several years, including: Data governance to cater to enterprise-level financial reporting and regulatory compliance as an example. Self-service data discovery (e.g., What Genware Thinks Is Cool.

Virtualization 50

Virtualization Data Energy Innovation 50

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. Infrastructure.

Government 77

Government Artificial Inteligence Enterprise Strategy 77

TIBCO - Connected Intelligence

JUNE 16, 2021

Here are a few of the typical business objectives: Revenue growth : To develop new business, use customer data as a competitive advantage and differentiator. Business insight : Facilitate better strategic and operational business decision-making by providing governed, documented, and easy access to current and historical customer data.

Data 29

Data Weak Development Team Virtualization Compliance 29

TIBCO - Connected Intelligence

SEPTEMBER 15, 2020

This blog provides a step-by-step guide. With everyone on the same page, it is much easier to align business and data management related processes and definitions and thus reduce the reconciliation and remediation costs. Higher return on data assets via reuse of data and ease of sharing. Let this blog be your guide.

How To 26

How To Compliance Government Insurance 26

Cloudera

DECEMBER 10, 2020

These file formats not only help avoid data duplication into proprietary storage formats but also provide highly efficient storage formats. Multiple analytical engines (data warehousing, machine learning, data engineering, and so on) can operate on the same data in these file formats.

Data 98

Data Technical Review Storage Systems Review 98

TIBCO - Connected Intelligence

APRIL 15, 2021

Compressing your data capture to analyze to get insight to decide to act cycle is key. Data related regulations continue to grow. Compliance with new regulations is not optional as governments respond to citizens’ privacy protections, data security, AI/ML bias, and other data-related threats. Invest wisely!

Analytics 41

Analytics Development Team Review Technical Review Data 41

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 91

Insurance Compliance Technical Review Banking 91

Cloudera

AUGUST 31, 2021

It outperforms other data warehouses on all sizes and types of data, including structured and unstructured, while scaling cost-effectively past petabytes. Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics.

Data 85

Data Analytics Cloud Technical Review 85

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Data 79

Data Compliance Architecture Data Engineering 79

Cloudera

MAY 10, 2018

Click to tweet : Nominations are now open for the sixth annual Cloudera Data Impact Awards! With advancements in exploratory data science, machine learning, predictive analytics, AI, and data engineering, the world is increasingly driven by data. Learn more about the Data Impact Awards.

Data 41

Data Machine Learning Artificial Inteligence Data Engineering 41

Cloudera

NOVEMBER 12, 2020

Typically, when we talk about data warehousing at an enterprise level on the cloud, one of the biggest concerns is that moving workloads from on-premises to the cloud is not seamless and opens up new risks for data safety and security. How Burst to Cloud can solve your data center pressure. The post Extreme data center pressure?

Data Center 105

Data Center Cloud Data Policies 105

Cloudera

FEBRUARY 11, 2019

The root cause is firmly entrenched in legacy systems and traditional data governance challenges that not only result in data silos but also the misguided belief that data privacy is diametrically opposed to effective exploration of information. Governing digital transformation. Governing for compliance.

Government 59

Government Compliance Machine Learning Artificial Inteligence 59

Datavail

MARCH 10, 2022

There are many reasons for this failure, but poor (or a complete lack of) data governance strategies is most often to blame. This article discusses the importance of solid data governance implementation plans and why, despite its obvious benefits, many organizations find data governance implementation to be challenging.

Government 40

Government Strategy Weak Development Team Company 40

Cloudera

SEPTEMBER 14, 2020

Everybody needs more data and more analytics, with so many different and sometimes often conflicting needs. Data engineers need batch resources, while data scientists need to quickly onboard ephemeral users. Fundamental principles to be successful with Cloud data management.

Cloud 111

Cloud Data Compliance Government 111

Cloudera

DECEMBER 15, 2022

With a common interface in CDP that works across different cloud service providers, you can break down data silos while ensuring consistent security, governance, and traceability, all while seamlessly moving your Apache Iceberg – based workloads across deployment environments frictionlessly. Advanced capabilitie.

Cloud 82

Cloud Data Analytics Machine Learning 82

Cloudera

AUGUST 30, 2022

Data is the fuel that drives government, enables transparency, and powers citizen services. Legacy data sharing involves proliferating copies of data, creating data management, and security challenges. Data quality issues deter trust and hinder accurate analytics. Modern data architectures.

Architecture 82

Architecture Data Artificial Inteligence Artificial Intelligence 82

Cloudera

SEPTEMBER 9, 2022

analyst Sumit Pal, in “Exploring Lakehouse Architecture and Use Cases,” published January 11, 2022: “Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support AI, BI, ML, and data engineering on a single platform.” According to Gartner, Inc.

Architecture 105

Architecture Innovation Data Open Source 105

O'Reilly Media - Ideas

JANUARY 25, 2024

Rachel Stephens provides two fascinating pieces of the puzzle in a recent article on the RedMonk blog , but those pieces don’t fit together exactly. Attendees included small business owners, sales and marketing personnel, and C-suite executives, along with many programmers and engineers from different disciplines.

Trends 118

Trends Technical Review Technology Artificial Inteligence 118

Cloudera

AUGUST 24, 2020

In the last blog with Deloitte’s Marc Beierschoder, we talked about what the hybrid cloud is, why it can benefit a business and what the key blockers often are in implementation. Next you need to understand your data , cataloging enterprise data into business and compliance terms. You can read it here. .

Cloud 82

Cloud Data Government Innovation 82

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Why integrate Apache Iceberg with Cloudera Data Platform?

Data 91

Data Analytics Machine Learning Artificial Inteligence 91

Cloudera

JUNE 14, 2021

The second issue is with regulatory, security and privacy concerns about moving certain workloads and certain data sets beyond the firewall, and in many cases out of the country. This particularly relates to PII data, but also to data from enterprise end-customers on their network that relates to financial, government or healthcare services.

Telecommunications 99

Telecommunications Cloud Data Virtualization 99

Cloudera

DECEMBER 21, 2020

Instead, it is a move towards recognizing those companies that are driving innovation and agility by modernizing their data architecture and optimizing their infrastructure to leverage invaluable insights. This year’s winner, the West Midlands Police, stood out with its groundbreaking data strategy that did both of these things.

Data 98

Data Technical Review Enterprise Cloud 98

TIBCO - Connected Intelligence

APRIL 1, 2021

With the rising interest in self-service data discovery, these capabilities are attracting business users and enabling them to find and build their own views across disparate data sources. To realize these benefits, more companies are looking to data virtualization. The future of data virtualization. Click To Tweet.

Virtualization 49

Virtualization Meeting Marketing Data 49

OpenCredo

MARCH 20, 2020

Security, because we work with sensitive data, client information and intellectual property. We cannot afford for this data to make its way into the wrong hands and must comply with compliance mandates. By making data security usable we also expect to make systems easier to manage, operate and understand. Challenges.

Cloud 40

Cloud Data Weak Development Team Compliance 40

TIBCO - Connected Intelligence

DECEMBER 7, 2021

While data-driven organizations have more information to work with than ever before, this also means dealing with more data sources, siloed data , complexity in data integration and data access, and growing data compliance mandates. Build a Data Fabric That’s Just the Right Fit with TIBCO.

Architecture 49

Architecture Data Government Agile 49

Altexsoft

MARCH 16, 2021

In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. Definitely, the topic is way too extensive to be covered in a blog post, so we’re only going to make a succinct overview. What is Big Data and its sources in healthcare?

Big Data 116

Big Data Healthcare Applications Data 116

Cloudera

APRIL 21, 2022

MHS Genesis has to tackle an almost impossible job in moving and processing petabytes of data, securely and accurately. The DoD is the federal government’s largest agency and one of the most complex organizations in the world. Shared catalog of data, metadata aids compliance requirements. million retirees, 1.3

Security 90

Security Data Insurance System 90

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

Cloudera

DECEMBER 7, 2017

That data may be stored multiple times in different pools, each multiplying storage resource costs. That data may be used in ways that don’t comply with appropriate security and governance policies. That data may be hard to discover for other users and other applications. It’s time for SDX.

Data 40

Data Machine Learning Artificial Inteligence Analytics 40

BPM

JANUARY 18, 2019

That augmentation must be in a form attractive to humans while enabling security, compliance, authenticity and auditability. Intellect will continue to focus its efforts on developing and providing expertise and solutions for compliance heavy industries, enabled by its no code bpm compliance platform. Lloyd Dugan BPM.com [link].

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

TIBCO - Connected Intelligence

AUGUST 10, 2020

Taking action to leverage your data is a multi-step journey, outlined below: First, you have to recognize that sticking to the status quo is not an option. Your data demands, like your data itself, are outpacing your data engineering methods and teams. This blog sets you up for success. Make it so!

Virtualization 69

Virtualization Data How To Data Engineering 69