Cloudera

NOVEMBER 1, 2022

It’s no secret that IT modernization is a top priority for the US federal government. To quote Gartner VP Sid Nag, the “irrational exuberance of procuring cloud services” gave way to a more rational approach that prioritizes governance and security over which cloud to migrate workloads to, be it public, private, or hybrid. .

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Cloud Government Storage Analytics 83

Cloudera

JANUARY 27, 2021

Achieving SOC 2 is one of the first milestones on our aggressive security and compliance roadmap. You can expect to see further compliance achievements, including expanding Cloudera’s ISO27001 certification to include CDP Public Cloud, FedRAMP, and more, over the coming quarters. Why is SOC 2 Important?

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Cloud Disaster Recovery Software Review Technical Review 101

CIO

JULY 14, 2023

To get good output, you need to create a data environment that can be consumed by the model,” he says. You need to have data engineering skills, and be able to recalibrate these models, so you probably need machine learning capabilities on your staff, and you need to be good at prompt engineering.

Generative AI 246

Generative AI Artificial Inteligence Open Source ChatGPT 246

Cloudera

APRIL 9, 2021

You may recall from the previous blogs in this series that ECC is leveraging the Cloudera Data Platform (CDP) to cover all the stages of its data life cycle. Data Collection – streaming data. Data Enrichment – data engineering. Reporting – data warehousing & dashboarding.

Artificial Inteligence 98

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OTS Solutions

MARCH 14, 2019

New teams and job descriptions relating to AI will need to be created by adding data scientists, data engineers and machine learning engineers to your staff. Are any compliance controls put in place? It may also have the responsibility of developing a system for governance and accountability.

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Artificial Inteligence Artificial Intelligence Strategy Technical Review 140

InnovationM

MAY 14, 2023

These tools streamline data flow, enable real-time data ingestion, and ensure data quality and metadata management. Data Governance and Metadata Management: Effective data governance is essential for managing data lakes successfully.

Data 52

Data Storage Construction Business Intelligence 52

Xebia

MARCH 10, 2021

Ideally, ‘ facilitate individual business domains with their ‘insights’ demand ’ means: individual business domains are capable to take ownership of creating and operating their own ‘data and insights’ needs. Let’s first briefly explore the world of Data Science and better understand why DevOps can help.

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TIBCO - Connected Intelligence

JANUARY 11, 2021

Underestimating data engineering workloads . Every MDM project requires that you understand, access, and integrate your source data in some way. This can be especially challenging in today’s distributed data landscapes where your data spans many repositories, both on-premises and in the cloud. Click To Tweet.

Technical Advisors 54

Technical Advisors Data Data Engineering Compliance 54

Capgemini

MAY 28, 2020

From stringent regulatory requirements to product specifications, non-compliance can lead to significant issues, from dissatisfied customers to fines and class-action lawsuits. Manufacturers typically work with components from multiple sources, so assembling all the data from suppliers and the shop floor is critical for tracing back defects.

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Artificial Intelligence Artificial Inteligence Automotive Data Engineering 52

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

Altexsoft

SEPTEMBER 9, 2022

Metadata management is a part of the data governance process which, in turn, is an element of the overall data management strategy. Today, such modern data management frameworks as DataOps strongly rely on effective metadata capture and management to bring order into the chaotic data flows. data cataloging).

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Tools Technical Review Software Review Systems Review 59

Lacework

NOVEMBER 1, 2023

In many cases we see that customers prefer to have their data stored and managed locally in their home region, both for reasons of regulatory compliance and also business preference. This prevents role crossover and enforces “need to know” in terms of data access. What are the customer privacy benefits of doing this?

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System Design Systems Review System Data 52

Altexsoft

AUGUST 29, 2023

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Machine Learning 52

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.

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Government Artificial Inteligence Enterprise Strategy 71

O'Reilly Media - Ideas

FEBRUARY 11, 2019

As companies ingest and use more data, there are many more users and consumers of that data within their organizations. Data lineage, data catalog, and data governance solutions can increase usage of data systems by enhancing trustworthiness of data. Data Platforms.

Big Data 85

Big Data Technology Tools Cloud 85

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.

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Cloud Google Cloud Azure AWS 78

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.,

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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.

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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.

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Data Technical Review Storage Systems Review 98

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.

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Technology Games Trends IoT 42

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

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Government Tools Data Weak Development Team 52

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.

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Data Weak Development Team Virtualization Compliance 29

TIBCO - Connected Intelligence

SEPTEMBER 15, 2020

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. Better regulatory compliance and avoidance of fines, fees, and penalties by enabling better adherence to compliance and corporate governance frameworks.

How To 26

How To Compliance Government Insurance 26

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.

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Insurance Compliance Technical Review Banking 82

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.

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Analytics Development Team Review Technical Review Data 41

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.

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Data Compliance Architecture Data Engineering 73

Existek

JANUARY 11, 2022

Governments . Governments. Data and analytics. Security and governance. Security, identity, and compliance. Choosing cloud-based solutions is also about getting great data, account, and workload protection. Azure: Built-in security services with Azure focus on efficient compliance enforcement.

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Azure AWS Cloud How To 52

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 80

Data Analytics Cloud Technical Review 80

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.

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Government Compliance Machine Learning Artificial Inteligence 56

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.

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Government Strategy Weak Development Team Company 40

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. Key areas of concern are: .

Data Center 101

Data Center Cloud Data Policies 101

InfoWorld

FEBRUARY 9, 2024

It is built around a data lake called OneLake, and brings together new and existing components from Microsoft Power BI, Azure Synapse, and Azure Data Factory into a single integrated environment. In many ways, Fabric is Microsoft’s answer to Google Cloud Dataplex. As of this writing, Fabric is in preview.

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Big Data Azure Google Cloud Data 84

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. Read how to get nominated. link] #DataImpactAwards.

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Data Machine Learning Artificial Inteligence Data Engineering 41

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 107

Cloud Data Compliance Government 107

CIO

AUGUST 18, 2022

You can intuitively query the data from the data lake. Users coming from a data warehouse environment shouldn’t care where the data resides,” says Angelo Slawik, data engineer at Moonfare. At Paris-based BNP Paribas, scattered data silos were being used for BI by different teams at the giant bank.

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Data Artificial Inteligence Technical Advisors Technical Review 350

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 76

Cloud Data Analytics Machine Learning 76

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 75

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