TDAN

OCTOBER 21, 2020

The term “big data” has been bandied about for a number of years now, and it has gotten to the point where it has been used so much that it is a part of IT culture. It’s hard to specifically define, yet everyone seems to have a good idea what is meant by it; big […].

Big Data 69

Big Data IT Data Architecture Data Strategy 69

Octopai

APRIL 19, 2021

Her Twitter page is filled with interesting articles, webinars, reports, and current news surrounding data management. She tweets and retweets about topics such as data governance, data strategy, and data architecture. Datanami is a portal that posts about the latest news and updates when it comes to big data.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

Cloudera

JANUARY 12, 2018

I mentioned in an earlier blog titled, “Staffing your big data team, ” that data engineers are critical to a successful data journey. And the longer it takes to put a team in place, the likelier it is that your big data project will stall. That architecture exists to store, serve, and process data.

Big Data 55

Big Data Data Architecture Data Governance Reporting 55

TDAN

SEPTEMBER 17, 2019

Did you know that 90% of all data has been generated over the last 2 years? Big Data has been an important topic in the marketing scene for quite some time. It has been a major challenge for Chief Marketing Officers (CMOs) because it’s not easy to organize and extract useful insights from massive amounts of […].

Big Data 68

Big Data Marketing Data Architecture IT 68

Cloudera

JUNE 7, 2022

Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. But this is not your grandfather’s big data. It has evolved into something new – hybrid data. For Cloudera this is a back to the future moment. Fuel growth with speed and control.

IT 111

IT Data Architecture Unstructured Data Big Data 111

Cloudera

SEPTEMBER 26, 2023

IBM and Cloudera’s common goal is to accelerate data-driven decision making for enterprise customers, working on defining and executing the best solution for each customer. You can now elevate your data potential and activate AI’s capabilities through the synergic integration between IBM watsonx and Cloudera.

Technology 94

Technology IT Data-driven Data Architecture 94

Cloudera

FEBRUARY 7, 2019

With the right technology now in place, ATB Financial is landing and curating more data than ever to bring data-driven insights to the business and its customers. Implementing a Modern Data Architecture. ATB Financial is also the first to use SAS Viya to interface between SAS tools and HDP. Check out our customer stories.

Big Data 65

Big Data Data Analytics Analytics Data Architecture 65

Cloudera

DECEMBER 1, 2023

Find out more about Cloudera Data Flow and CDP, the only hybrid data platform for modern data architectures with data anywhere here ( Public Sector, Government Big Data Business Intelligence and Analytics (cloudera.com).

Data Governance 108

Data Governance Data-driven Strategy Data Architecture 108

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 93

Strategy Data Architecture Cost-Benefit Reporting 93

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. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 95

Analytics IoT Cost-Benefit Big Data 95

Cloudera

JULY 27, 2021

Speaking to Aaron Boasman-Patel, Vice President, AI & Customer Experience at the TM Forum, he says the industry is all-in on Big Data. Big Data has long been a growth area in telecom,’ he told me. Reach out to me personally to learn more or follow my viewpoint through blogs and other channels at cloudera.com/blogs.

Big Data 61

Big Data Data Architecture Enterprise Data Science 61

IBM Big Data Hub

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. And you should have experience working with big data platforms such as Hadoop or Apache Spark. Your skill set should include the ability to write in the programming languages Python, SAS, R and Scala.

Data Science 83

Data Science Data Analytics Prescriptive Analytics Analytics 83

Data Virtualization

DECEMBER 15, 2022

Reading Time: 3 minutes One of the biggest challenges for organizations is to integrate data from various sources. Despite modern advancements such as big data technologies and cloud, data often ends up in organized silos, but this means that cloud data is separated from.

Big Data 52

Big Data Data Integration Technology Management 52

AWS Big Data

JULY 28, 2023

In this post, we show how to create and query views on federated data sources in a data mesh architecture featuring data producers and consumers. The term data mesh refers to a data architecture with decentralized data ownership. The following diagram depicts our data architecture.

Big Data 76

Big Data Data Architecture Data Lake Interactive 76

IBM Big Data Hub

JUNE 18, 2019

In my last blog , I stressed the need for a modern data architecture (MDA) to underpin the next generation of the cognitive enterprise , fully harness data using the latest technologies, and sustain a

Data Strategy 91

Data Strategy Strategy Data Architecture Enterprise 91

IBM Big Data Hub

DECEMBER 16, 2022

Building the foundation: data architecture. Collecting, organizing, managing, and storing data is a complex challenge. A fit-for-purpose data architecture underpins effective data-driven organizations. Read more: Why IBM recommends a data fabric architecture as a solution.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 52

Cloudera

DECEMBER 19, 2018

Natural language analytics and streaming data analytics are emerging technologies that will impact the market. Cloud computing has passed the tipping point, with most organizations comfortable moving critical data and applications to the public cloud. Big Data Technologies and Architectures.

Data Warehouse 54

Data Warehouse Analytics Big Data Data Architecture 54

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

Data Processing 87

Data Processing IoT Cost-Benefit Digital Transformation 87

Cloudera

JANUARY 13, 2021

Engaging employees in a digital journey is something Cloudera applauds, as being truly data-driven often requires a shift in the mindset of an entire organisation. Putting data at the heart of the organisation. The platform is built on a data lake that centralises data in UOB business units across the organisation.

Digital Transformation 57

Digital Transformation Data-driven Data Lake Big Data 57

Cloudera

DECEMBER 7, 2020

This blog is a first in a series that will examine the pillars and the successful customer case studies that have resulted. customer digital interactions annually, this was truly a ‘big data’ opportunity. The post Get to Know Your Retail Customer: Accelerating Customer Insight and Relevance appeared first on Cloudera Blog.

Cost-Benefit 63

Cost-Benefit Interactive Unstructured Data Big Data 63

AWS Big Data

OCTOBER 3, 2023

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. Analytics use cases on data lakes are always evolving.

Data Lake 98

Data Lake Metadata Snapshot Recreation/Entertainment 98

Cloudera

APRIL 25, 2019

A key pillar of this strategy was the “One Bank Data Architecture,” which called for a centralized data management platform. The post Breaking Down Data Silos in Financial Services with a Centralized Data Management Platform appeared first on Cloudera Blog. Explore more customer use cases.

Management 60

Management Insurance Big Data Data Architecture 60

AWS Big Data

MAY 18, 2023

It’s even harder when your organization is dealing with silos that impede data access across different data stores. Seamless data integration is a key requirement in a modern data architecture to break down data silos. About the authors Gonzalo Herreros is a Senior Big Data Architect on the AWS Glue team.

Testing 73

Testing Data Lake Cost-Benefit Data Integration 73

Cloudera

MARCH 13, 2019

The Data Visionary, Data Scientist, Data Architect, and HCC Community Champion awards are given out to organizations transforming their businesses through Big Data. Who are the Data Heroes? The post Introducing the 2019 Data Heroes – EMEA! appeared first on Cloudera Blog.

Data Architecture 71

Data Architecture Deep Learning Machine Learning Big Data 71

IBM Big Data Hub

OCTOBER 16, 2023

.” Bias, AI and IBM A proper technology mix can be crucial to an effective data and AI governance strategy, with a modern data architecture and trustworthy AI platform being key components. Policy orchestration within a data fabric architecture is an excellent tool that can simplify the complex AI audit processes.

Advertising 75

Advertising Machine Learning Data Architecture Cost-Benefit 75

AWS Big Data

APRIL 3, 2023

DynamoDB configuration table The DynamoDB configuration table ( rsql-blog-rsql-config-table ) is the basic building block of this solution. You can see the workflow_id is blog_test_workflow and the description is Test Workflow for Blog. The log group is used to store the RSQL job run logs. sh", "rsql_blog_script_2.sh"

Data Warehouse 95

Data Warehouse Testing Data Lake Data-driven 95

IBM Big Data Hub

JANUARY 25, 2023

In our last blog , we introduced Data Governance: what it is and why it is so important. In this blog, we will explore the challenges that organizations face as they start their governance journey. Organizations have long struggled with data management and understanding data in a complex and ever-growing data landscape.

Data Governance 52

Data Governance Data-driven Strategy Management 52

IBM Big Data Hub

SEPTEMBER 6, 2023

Marketers also need to work closely with IT to align on the data architecture needed to securely build and deploy foundation models while following necessary protections for intellectual property and confidential data. The appropriate usage guardrails will help monitor and safeguard your IP and the integrity of your brand.

Marketing 121

Marketing Strategy B2B Cost-Benefit 121

Cloudera

JUNE 18, 2022

In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake. In a rush to own this term, many vendors have lost sight of the fact that the openness of a data architecture is what guarantees its durability and longevity.

Data Lake 92

Data Lake Data Warehouse Machine Learning Cost-Benefit 92

Cloudera

DECEMBER 28, 2017

With big data platforms, like ones based on open source software, banks can more effectively adapt to and quickly manage the wave of rules coming at them. The post “Comply, you must comply!” – How Nordea Bank deals with regulatory compliance appeared first on Cloudera Blog.

Big Data 40

Big Data Data Architecture Data Quality Machine Learning 40

IBM Big Data Hub

APRIL 29, 2024

Today Velox is in various stages of integration with several data systems including Presto (Prestissimo), Spark (Gluten), PyTorch (TorchArrow), and Apache Arrow. You can read more about why Velox was built in Meta’s engineering blog. Velox at IBM Presto is the engine for watsonx.data , IBM’s open data lakehouse platform.

Management 69

Management Optimization Data Processing Metrics 69

IBM Big Data Hub

AUGUST 24, 2022

For customers looking to modernize and migrate legacy data integration tools to the cloud, IBM offers rich comprehensive tools that help customers understand their data landscape and how to migrate. IBM also offers modernization workshops to assist customers with evaluating and re-designing their data architecture.

Data Integration 85

Data Integration Metadata Data-driven Data Architecture 85

Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

Data Architecture 86

Data Architecture Cost-Benefit Digital Transformation Business Driver 86

AWS Big Data

JANUARY 8, 2024

Therefore, it is critical for organizations to embrace a low-latency, scalable, and reliable data streaming infrastructure to deliver real-time business applications and better customer experiences. Refer to Amazon Kinesis Data Streams integrations for additional details. Lambda is good for event-based and stateless processing.

Analytics 108

Analytics IoT Data-driven Snapshot 108

AWS Big Data

NOVEMBER 28, 2023

We think that by automating the undifferentiated parts, we can help our customers increase the pace of their data-driven innovation by breaking down data silos and simplifying data integration.

Data Warehouse 89

Data Warehouse Data-driven Machine Learning B2B 89

IBM Big Data Hub

NOVEMBER 14, 2022

Being a data-driven organization goes well beyond building a modern data architecture. For CDOs and other leaders within different lines of business, this means fostering a culture that prioritizes data literacy : the ability to read, understand, create and communicate data.

Data-driven 52

Data-driven Visualization Data Architecture Strategy 52

IBM Big Data Hub

FEBRUARY 2, 2023

This approach has several benefits, such as streamlined migration of data from on-premises to the cloud, reduced query tuning requirements and continuity in SRE tooling, automations, and personnel. This enabled data-driven analytics at scale across the organization 4.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57