Cloudera

JULY 27, 2021

Data has become the critical fuel that drives growth and automation, the twin guide points for an industry stretching for new revenue sources and cost reduction, all the while maintaining governance on precious customer data. Big Data has long been a growth area in telecom,’ he told me.

Telecommunications 64

Telecommunications Data Architecture Big Data 64

Cloudera

JUNE 7, 2022

Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform. We deliver cloud-native data analytics across the full data lifecycle – data distribution, data engineering, data warehousing, transactional data, streaming data, data science, and machine learning – that’s portable across infrastructures.

Data 115

Data Architecture Analytics Government 115

Mobilunity

MAY 8, 2023

Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise. Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Data Security. Scalability. Scalability.

Engineering 52

Engineering Data Storage AWS 52

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Cloud-based spending will reach 60% of all IT infrastructure and 60-70% of all software, services, and technology spending by 2020. Hybrid clouds must bond together the two clouds through fundamental technology, which will enable the transfer of data and applications.

Cloud 78

Cloud Google Cloud Azure AWS 78

AWS Machine Learning - AI

JANUARY 26, 2024

Refresh your understanding of the AWS Shared Responsibility Model as it applies to infrastructure, services, and data when you build LLM solutions. In addition to awareness, your teams should take action to account for generative AI in governance, assurance, and compliance validation practices.

Artificial Inteligence 118

Artificial Inteligence Generative AI Security Applications 118

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

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 Is The Wisest Bet for 2020. In my next blog I will identify a set of data-related strategies—a winning formula so to speak—that you can use to increase your odds of success.

Technology 42

Technology Games Trends IoT 42

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.

Government 77

Government Artificial Inteligence Enterprise Strategy 77

Cloudera

NOVEMBER 12, 2020

After all, every new request for IT resources or infrastructure seems to take 1-3 months–under these circumstances, their shadow IT projects seem well justified! Typical scenarios for most customer data centers. Pressure is not only felt by central IT, but also by business users within the organization.

Data Center 105

Data Center Cloud Data Policies 105

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

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

NOVEMBER 19, 2020

November 15-21 marks International Fraud Awareness Week – but for many in government, that’s every week. From bogus benefits claims to fraudulent network activity, fraud in all its forms represents a significant threat to government at all levels. The Public Sector data challenge. Modernization has been a boon to government.

Government 120

Government Artificial Inteligence Machine Learning Data 120

TIBCO - Connected Intelligence

DECEMBER 11, 2020

Like the rest of the world, data is transforming the landscape of how Nordics citizens live and work, how commerce occurs, how its governments engage, and so much more. I would say, in general, that Nordics organizations have moved quickly to adopt data-driven business transformation.

Business Transformation 52

Business Transformation Data Analytics Hotels 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.

Data 29

Data Weak Development Team Virtualization Compliance 29

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

Cloudera

FEBRUARY 15, 2024

Risk management and governance: Regulators are increasingly focusing on risk governance, risk sustainability, and the detection, mitigation, tracking, and remediation of threat actors. Financial institutions must demonstrate robust risk accountability and governance, as well as maintain consumer protections.

Insurance 91

Insurance Compliance Technical Review Banking 91

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

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

FEBRUARY 8, 2021

This is part 2 in this blog series. You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. The first blog introduced a mock connected vehicle manufacturing company, The Electric Car Company (ECC), to illustrate the manufacturing data path through the data lifecycle.

Data 120

Data Technical Review Data Engineering Analysis 120

Datavail

JUNE 8, 2023

From DBA to Data Engineer—The Strategic Role of DBAs in the Cloud Over the past few years, the IT landscape has experienced significant disruptions. Finally, he concluded by emphasizing the importance of understanding data engineering principles such as data governance, security protocols, scalability strategies, etc.,

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Cloudera

DECEMBER 14, 2020

Apache NiFi empowers data engineers to orchestrate data collection, distribution, and transformation of streaming data with capacities of over 1 billion events per second. . Apache Kafka helps data administrators and streaming app developers to buffer high volumes of streaming data for high scalability.

Analytics 73

Analytics Big Data Government Cloud 73

Cloudera

AUGUST 17, 2021

When we announced the GA of Cloudera Data Engineering back in September of last year, a key vision we had was to simplify the automation of data transformation pipelines at scale. With Airflow based pipelines in DE, customers can now specify their data pipeline using a simple python configuration file.

Data 115

Data Open Source Government Analytics 115

Cloudera

JUNE 14, 2021

With the rollout of 5G and virtualized network infrastructure, the telco network cloud is adding robust enterprise networking offerings to the virtual portfolio, to the point that some CIOs are looking around and asking what isn’t virtualized yet, and why not? Hybrid Data Cloud and Data Governance.

Telecommunications 99

Telecommunications Cloud Data Virtualization 99

Datavail

JUNE 15, 2023

“It unifies the business model across all the different types of analytics workloads, whether they’re SQL, machine learning – whatever job you want, you can use the same compute infrastructure. Data Factory : A data integration tool with 150+ connectors to cloud and on-premises data sources.

Azure 52

Azure Analytics Storage Generative AI 52

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

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

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

MAY 22, 2018

It was exactly one year ago at Strata London that we introduced the world to Cloudera Altus Data Engineering. We believed that if you empowered data engineers, data scientists, and analysts with self-service tools and access to unlimited data and compute, your organization can accomplish truly great things.

Azure 40

Azure Data Engineering AWS Engineering 40

Cloudera

OCTOBER 18, 2022

With global spend on the public cloud reaching $385 billion in 2021 , Cloudera was by no means alone in identifying that we, too, needed to be conscious of the ever-increasing costs of our public cloud infrastructure. This enabled us to ingest data faster, more reliably, and in deeper detail, while saving on licenses.

Cloud 92

Cloud Analytics AWS Engineering 92

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

APRIL 15, 2021

In this blog we will cover the new features in the 7.1.6 release and the new in-place upgrade from HDP that completely does away with replacing infrastructure and data migrations. SDX – Security and Governance . Data Engineering . Data Warehouse. appeared first on Cloudera Blog.

Cloud 71

Cloud Data Engineering Resources Engineering 71

Cloudera

AUGUST 20, 2021

The Cloudera Data Platform comprises a number of ‘data experiences’ each delivering a distinct analytical capability using one or more purposely-built Apache open source projects such as Apache Spark for Data Engineering and Apache HBase for Operational Database workloads. A Holistic Visual Exploration of Data.

Strategy 100

Strategy Data Technical Review Weak Development Team 100

OpenCredo

MARCH 20, 2020

By humanising data we can improve security as well as motivation, satisfaction and productivity.</p. By making data security usable we also expect to make systems easier to manage, operate and understand. Data Engineering. These are complex engineering tasks which must be developed and appropriately controlled.

Cloud 40

Cloud Data Weak Development Team Compliance 40

Cloudera

DECEMBER 7, 2017

Cloud offers elasticity of those resources to efficiently support transient analytics workloads and data pipelines. Cloud offers self-service without waiting for IT infrastructure and operations teams. That data may be stored multiple times in different pools, each multiplying storage resource costs. It’s time for SDX.

Data 40

Data Machine Learning Artificial Inteligence Analytics 40

Cloudera

SEPTEMBER 10, 2018

Multidisciplinary analytics are the tools, the different workloads you need: data engineering, data warehousing, data science, and operational analytics. When transient cloud infrastructures are used to complement existing on-premises investments, establishing and capturing this data context is essential for success.

Analytics 40

Analytics Machine Learning Artificial Inteligence Data Engineering 40

DataRobot

SEPTEMBER 14, 2021

AI Cloud brings together any type of data, from any source, giving you a unique, global view of insights that drive your business. All of this is part of a unified, integrated platform spanning data engineering, machine learning, decision intelligence, and continuous AI – the entire AI lifecycle. Augmented Intelligence.

Cloud 52

Cloud Data Center Machine Learning Artificial Inteligence 52

Cloudera

MAY 22, 2018

Times are changing, and the traditional models of analytics and data management don’t serve the needs of the modern enterprise, so the way to address these topics is changing too. The typical approach has been on-premises data centers, stuffed with racks of dedicated hardware for single-purpose applications, available to only a few people.

Enterprise 40

Enterprise Machine Learning Artificial Inteligence Analytics 40