Altexsoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. Feel free to enjoy it. Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

TIBCO - Connected Intelligence

APRIL 15, 2021

Data and analytics investments pay off. According to McKinsey, “High-performing organizations are three times more likely than others to say their data and analytics initiatives have contributed at least 20 percent to EBIT.” Twenty percent of earnings before interest and taxes from data and analytics alone!

Analytics 41

Analytics Development Team Review Technical Review Data 41

Cloudera

OCTOBER 13, 2020

CDP Data Hub: a VM/Instance-based service that allows IT and developers to build custom business applications for a diverse set of use cases with secure, self-service access to enterprise data. . Enrich – Data Engineering (Apache Spark and Apache Hive). Predict – Data Engineering (Apache Spark).

Cloud 98

Cloud Machine Learning Artificial Inteligence Azure 98

Cloudera

FEBRUARY 16, 2021

In the previous blog post , we looked at some of the application development concepts for the Cloudera Operational Database (COD). In this blog post, we’ll see how you can use other CDP services with COD. Integrated across the Enterprise Data Lifecycle . Cloudera Data Engineering to ingest bulk data and data from mainframes.

Machine Learning 85

Machine Learning Artificial Inteligence Data Engineering Policies 85

Cloudera

JANUARY 19, 2022

Gartner® recognized Cloudera in three recent reports – Magic Quadrant for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases. Download the reports to see the detailed scores .

Report 92

Report Technical Advisors Cloud Analytics 92

Cloudera

JUNE 7, 2022

Also, Cloudera DataFlow is rated highly in the GigaOm Radar for Streaming Data Platforms. Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform.

Data 113

Data Architecture Analytics Government 113

Cloudera

MARCH 17, 2023

Hopefully this blog will give ChatGPT an opportunity to learn and correct itself while counting towards my 2023 contribution to social good. The one key component that is missing is a common, shared table format, that can be used by all analytic services accessing the lakehouse data.

ChatGPT 63

ChatGPT Education Data Comparison 63

Xebia

MARCH 10, 2021

Therefore these organisations introduce a new capability: Data & Analytics. This blog elaborates on how adopting DevOps principles can enhance business value creation for the world of Data & Analytics. Data & Analytics as a separate business domain. a data & analytics platform).

DevOps 130

DevOps Data Analytics Policies 130

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

Cloudera

AUGUST 3, 2022

Customers will now get the same consistent view of their data with the analytic processing engine of their choice without any compromises. . Within CDP, Shared Data Experience (SDX) provides centralized governance, security, cataloging, and lineage. Fine grained access control (FGAC) with Spark. so stay tuned!

Policies 91

Policies Machine Learning Artificial Inteligence Data Engineering 91

Cloudera

DECEMBER 11, 2020

In a previous blog post on CDW performance, we compared Azure HDInsight to CDW. In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to EMR 6.0 (also powered by Apache Hive-LLAP) on Amazon using the TPC-DS 2.9 More on this later in the blog.

Performance 110

Performance Data Comparison Virtualization 110

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. Edge analytics by definition require in-network deployment.

Telecommunications 63

Telecommunications Data Architecture Big Data 63

Cloudera

DECEMBER 17, 2020

CDP enables a fully integrated and seamless ML lifecycle — from data pipelines to production and everything in between. Using CDP Data Engineering For Automating Machine Learning Pipelines. CDP Data Engineering seamlessly integrates with and automates data pipelines to CDP Machine Learning.

Machine Learning 82

Machine Learning Artificial Inteligence Data Engineering Engineering 82

Cloudera

SEPTEMBER 29, 2020

Performance is one of the key, if not the most important deciding criterion, in choosing a Cloud Data Warehouse service. In today’s fast changing world, enterprises have to make data driven decisions quickly and for that they rely heavily on their data warehouse service. . You can easily set up CDP on Azure using scripts here.

Azure 121

Azure Data Comparison Virtualization 121

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Data 110

Data Artificial Inteligence Analytics Machine Learning 110

Cloudera

JANUARY 27, 2021

CDP Public Cloud consists of a set of best-of-breed analytic services covering streaming, data engineering, data warehouse, operational database, and machine learning, all secured and governed by Cloudera SDX. If you would like a copy of our SOC 2 report, please contact your Cloudera account team.

Cloud 104

Cloud Disaster Recovery Software Review Technical Review 104

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. Scalability.

Engineering 52

Engineering Data Storage AWS 52

Cloudera

SEPTEMBER 10, 2021

Across the federal government, agencies are struggling to identify, organize, analyze, and act on troves of data. It’s a problem that leaders are working actively to tackle, but they’re in a race against immeasurable volumes of data that is continuously being generated in perpetuity in stores known and unknown.

Artificial Inteligence 69

Artificial Inteligence Machine Learning Artificial Intelligence Engineering 69

Cloudera

JANUARY 15, 2021

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. As depicted in the chart, Cloudera Data Warehouse ran the benchmark with significantly better price-performance than any of the other competitors tested. Introduction.

Performance 97

Performance Cloud Data Storage 97

TIBCO - Connected Intelligence

SEPTEMBER 7, 2021

When new and more capable systems were introduced to its existing IT structure, it became clear that the company’s data and analytics also needed an upgrade. Since implementing DAP, the team’s emphasis has shifted from warehouse maintenance to innovating with data. Projects are delivered faster and with better results.

Virtualization 32

Virtualization Data Insurance Software Review 32

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

JUNE 29, 2020

Further, these challenges are growing exponentially as massive data trends, such as the ten I identified in a recent blog , combine to make data management more complex and difficult than ever. Radically simplify your complex data management processes. In fact, data engineering staffing savings of 40 percent are typical.

Artificial Inteligence 45

Artificial Inteligence Data Data Engineering Database Administration 45

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Public cloud also introduces new challenges in governance, financial management and integration. Last year REAN Cloud acquired 47Lining to provide deep capabilities in cloud-based analytics and machine learning that expands Hitachi Vantara’s ability to maximize data-driven value for vertical IoT solutions.

Cloud 78

Cloud Google Cloud Azure AWS 78

TIBCO - Connected Intelligence

SEPTEMBER 14, 2020

Everyone yearns for consistent, well-governed, data that is easy to access and use. It enables organizations to more easily and successfully explore their data for insights, provide data as a service, report in real-time, and monitor digital operations. TIBCO Customers Driving Business Value from Data Virtualization.

Virtualization 49

Virtualization Data Analytics Innovation 49

Cloudera

AUGUST 31, 2021

Data warehousing is the backbone of every data driven organization , providing mission critical analytics. Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. Copyright © 2021 Accenture. All rights reserved.

Data 84

Data Analytics Cloud Technical Review 84

Hu's Place - HitachiVantara

JUNE 5, 2019

Our Chief Marketing Officer Jonathan Martin, published a blog to call attention to the fact that the old ways of data management are getting in the way of transforming data into Value. The way to accomplish this is through DataOps, which he defines as data management for the AI era. .” Fatima Hamad, Sr.

Technical Review 40

Technical Review Analytics Data Engineering Scalability 40

Cloudera

MAY 27, 2021

This blog post was written by Pedro Pereira as a guest author for Cloudera. . When developing ethical AI systems, the most important part is intent and diligence in evaluating models on an ongoing basis,” said Santiago Giraldo Anduaga, director of product marketing, data engineering and ML at Cloudera. The answer is not obvious.

Artificial Inteligence 118

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 118

Cloudera

NOVEMBER 6, 2017

As cloud vendors continue to compete with ever lower costs, data and analytics remain portable. Popular products like Cloudera Data Science Workbench , Analytic DB , Operational DB , and Essentials can be run natively in cloud environments, deploying the cloud service’s resources much the same way they would on-premises.

Cloud 40

Cloud Azure Analytics AWS 40

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. Over time, as TIBCO added analytics capabilities and a broad set of data management solutions, we also added these to our solution mix.”.

Business Transformation 52

Business Transformation Data Analytics Hotels 52

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. The business value of data continues to rise – Every business transformation today—be it greater customer intimacy, more optimized operations, faster innovation, and more—is fueled by data.

Technology 42

Technology Games Trends IoT 42

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. And collaboration is key.

Technical Advisors 54

Technical Advisors Data Data Engineering Compliance 54

Cloudera

FEBRUARY 17, 2021

Embracing the hybrid cloud model – We delivered all the key tenets of CDF on Cloudera Data Platform (CDP) Data Hub as well – Flow Management for Data Hub, Streams Messaging for Data Hub, and Streaming Analytics for Data Hub. Join us in the fun! Stay tuned for more updates.

Part-Time VPE 61

Part-Time VPE Analytics Leadership eBook 61

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

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., Self-service data discovery (e.g.,

Virtualization 50

Virtualization Data Energy Innovation 50

Cloudera

FEBRUARY 19, 2018

But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough. To keep up with tech trends, businesses have to face the challenges of integrating SAP with non-SAP technologies and embark on a crusade against data silos. Governance.

Data 47

Data Government Big Data Compliance 47

Cloudera

FEBRUARY 25, 2021

They need strong data exploration and visualization skills, as well as sufficient data engineering chops to fix the gaps they find in their initial study. Delivering ML models into the business with the right production ML tooling — including deployment, monitoring, and governance — is often the bigger challenge.

Machine Learning 84

Machine Learning Artificial Inteligence Telecommunications Enterprise 84

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 119

Government Artificial Inteligence Machine Learning Data 119