Cloudera

JUNE 1, 2021

In summary, the next chapter for Cloudera will allow us to concentrate our efforts on strategic business opportunities and take thoughtful risks that help accelerate growth. Datacoral powers fast and easy data transformations for any type of data via a robust multi-tenant SaaS architecture that runs in AWS.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

erwin

APRIL 29, 2020

Tracing the source of data is an arduous task. Many large organizations, in their desire to modernize with technology, have acquired several different systems with various data entry points and transformation rules for data as it moves into and across the organization. Data Governance. Data Quality.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

datapine

MAY 2, 2023

However, if you underestimate how many vehicles a particular route or delivery will require, then you run the risk of giving customers a late shipment, which negatively affects your client relationships and brand image. After examining their data, UPS found that trucks turning left were costing them a lot of money.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

Alation

MARCH 22, 2022

In fact, DataOps (and its underlying foundation, Data Fabric ), has ranked as a top area of inquiry and interest with analysts over the past twelve months. DataOps requires an array of technology to automate the design, development, deployment, and management of data delivery, with governance sprinkled on for good measure.

Metadata 52

Metadata Cost-Benefit Data Quality Data Lake 52

IBM Big Data Hub

JULY 28, 2023

We combine our customers’ proprietary methodology with our purpose-built technology, which runs natively on all the main architectures, including IBM zSystems. Our flagship data integration platform, DATA ONE , is designed to federate different technologies, platforms, data types and deployment models, with an intuitive user experience.

Data Integration 60

Data Integration Optimization Software Insurance 60

CIO Business Intelligence

JUNE 7, 2022

It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

Data Analytics 129

Data Analytics Diagnostic Analytics Management Analytics 129

erwin

SEPTEMBER 17, 2020

Speed and faster time to market is a driving force behind most organizations’ efforts with data lineage automation. More work can be done when you are not waiting on someone to manually process data or forms. Regulatory compliance places greater transparency demands on firms when it comes to tracing and auditing data.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

AWS Big Data

MAY 16, 2023

Although it’s complex and expensive to modernize distribution networks, many utilities choose to use their capital through the application of smart sensor technologies. Furthermore, based on the use case, utilities normally apply sensor technologies from different vendors. Managing such a large number of devices can be challenging.

Dashboards 75

Dashboards Statistics Data Collection Business Intelligence 75

Alation

FEBRUARY 2, 2023

Understanding data and analytics ensures that data is used effectively and helps troubleshoot any problems. These core capabilities are necessary for successfully managing a data product. Successful Product Managers Use the Right Tools & Technologies The right tools and tech stack can make or break a project.

Management 52

Management Data-driven Visualization Strategy 52

CDW Research Hub

JANUARY 22, 2020

While the looming threat of hackers and security breaches should not be taken lightly, the good news is companies can mitigate risks commonly associated with breaches and safely migrate their database(s) to the cloud with proper planning, insight and preventive measures. So how do you keep your business out of the security breach headlines?

Measurement 52

Measurement Consulting Risk Finance 52

DataKitchen

JULY 27, 2023

Here are a few examples that we have seen of how this can be done: Batch ETL with Azure Data Factory and Azure Databricks: In this pattern, Azure Data Factory is used to orchestrate and schedule batch ETL processes. Azure Blob Storage serves as the data lake to store raw data. Azure Machine Learning).

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

IBM Big Data Hub

JANUARY 9, 2024

The emergence of generative AI prompted several prominent companies to restrict its use because of the mishandling of sensitive internal data. According to CNN, some companies imposed internal bans on generative AI tools while they seek to better understand the technology and many have also blocked the use of internal ChatGPT.

Enterprise 79

Enterprise Data Integration Data Quality Contextual Data 79

Ontotext

APRIL 4, 2019

We can do this analysis for them and tell how many companies are there in a particular segment, how many of them have received investment and what the next big technology will be because, currently, there is a lot of investment going into it. But still, is there a risk that AI could replace people at their workplace?

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

DataKitchen

OCTOBER 5, 2022

Jason is the CDO for Company X, responsible for six teams of data professionals across several locations. The breadth of his teams’ work and the technologies they use present a significant challenge to his main goal: to deliver new and useful analytics solutions to the business. to monitor your data operations.

Testing 169

Testing Risk Data Processing Statistics 169

DataKitchen

OCTOBER 5, 2022

Jason is the CDO for Company X, responsible for six teams of data professionals across several locations. The breadth of his teams’ work and the technologies they use present a significant challenge to his main goal: to deliver new and useful analytics solutions to the business. to monitor your data operations.

Testing 130

Testing Risk Data Processing Statistics 130

IBM Big Data Hub

MARCH 14, 2024

For existing IBM on-premises database customers, transitioning to AWS is seamless, offering risk-free, like-for-like upgrades. Integrate seamlessly with watsonx.data SaaS and other IBM and AWS services like IBM data fabric, Amazon S3, Amazon EMR, AWS Glue and more to scale analytics and AI workloads across the enterprise. Existing

Cost-Benefit 83

Cost-Benefit Metadata Optimization Management 83

Alation

JUNE 28, 2022

Scale effectively: Leverage taxonomies to ensure consistent modeling outcomes when introducing new data sets or changing business demands. Track data lineage: Document data origins, record data transformation and movement, and visualize flow throughout the entire data lifecycle.

Metadata 52

Metadata Management Data Governance Machine Learning 52

AWS Big Data

OCTOBER 11, 2023

This is due to the complexity of the JSON structure, contracts, and the risk evaluation process on the payor side. Due to this low complexity, the solution uses AWS serverless services to ingest the data, transform it, and make it available for analytics. Create separate folders for each hospital inside the S3 bucket.

Visualization 96

Visualization Dashboards Data-driven Gap analysis 96

DataKitchen

OCTOBER 25, 2022

When considering how organizations handle serious risk, you could look to NASA. The space agency created and still uses “mission control” where many screens share detailed data about all aspects of a space flight. Any data operation, regardless of size, complexity, or degree of risk, can benefit from DataOps Observability.

Testing 130

Testing Data-driven Visualization Dashboards 130

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

O'Reilly on Data

JANUARY 17, 2023

Many of the winners are Silicon Valley-style entrepreneurial technology companies that are invading and overturning established industry structures. Instead of invoking the open-source scikit-learn or Keras calls to build models, your team now goes from Pandas data transforms straight to … the API calls for AWS AutoPilot or GCP Vertex AI.

Machine Learning 325

Machine Learning Predictive Modeling Software Modeling 325

Alation

OCTOBER 28, 2021

Leaders are asking how they might use data to drive smarter decision making to support this new model and improve medical treatments that lead to better outcomes. Yet this is not without risks. It combines people, process, technology, and data within a system founded on transparency and compliance.

Data Governance 52

Data Governance Measurement Modeling Metrics 52

AWS Big Data

JULY 20, 2023

Orca Security is an industry-leading Cloud Security Platform that identifies, prioritizes, and remediates security risks and compliance issues across your AWS Cloud estate. We explore why Orca chose to build a transactional data lake and examine the key considerations that guided the selection of Apache Iceberg as the preferred table format.

Data Lake 85

Data Lake Analytics Snapshot Optimization 85

CIO Business Intelligence

JUNE 14, 2022

By most accounts, companies are making the necessary investments, as evidenced by the majority of heads of IT (52%) saying data analytics and machine learning will drive the most IT investment at their organizations this year, according to CIO.com’s State of the CIO survey. Anatomy of a data strategy. What actually works.

Data Transformation 142

Data Transformation Data-driven Data Strategy Strategy 142

bridgei2i

SEPTEMBER 3, 2020

So Ronnie comes with about 15 years of experience in leadership positions, across technology and the media industry. Ronobijay: Sure, I think it would, you know, what used to be anathema till a few months back, you know, data transformation is real now, right? Thank you for taking the time to speak with us today, Ronnie.

Enterprise 94

Enterprise Insurance Digital Transformation Interactive 94

AWS Big Data

FEBRUARY 21, 2023

We use Apache Spark as our main data processing engine and have over 1,000 Spark applications running over massive amounts of data every day. These Spark applications implement our business logic ranging from data transformation, machine learning (ML) model inference, to operational tasks. Their costs were climbing.

Cost-Benefit 56

Cost-Benefit Informatics Optimization Management 56

erwin

APRIL 16, 2024

Decentralized data, centralized governance Data mesh breaks monolithic data architectures into smaller, more manageable decentralized domains. This empowers individual teams to own and manage their data. Decentralization has a downside, a risk of anarchy. Gathering this data isn’t possible without automation.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

CIO Business Intelligence

AUGUST 3, 2023

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices.

Analytics 91

Analytics Data Lake Metadata Cost-Benefit 91

CIO Business Intelligence

JANUARY 24, 2024

These autonomous software agents, working collaboratively in a decentralized fashion, are not just a technological marvel; they are an imperative response to the escalating complexity of today’s challenges. As AI accelerates at a breakneck pace, the urgency to harness the potential of Agent Swarms becomes increasingly apparent.

IoT 101

IoT Machine Learning Optimization Internet of Things 101

AWS Big Data

SEPTEMBER 19, 2023

Chime is a financial technology company founded on the premise that basic banking services should be helpful, easy, and free. Chime’s Risk Analysis team constantly monitors trends in our data to find patterns that indicate fraudulent transactions. Chime partners with national banks to design member first financial products.

Analytics 78

Analytics Risk Big Data Machine Learning 78

Jet Global

MAY 6, 2024

Despite the transformative potential of AI, a large number of finance teams are hesitating, waiting for this emerging technology to mature before investing. Finance has always been considered risk averse, so it is perhaps unsurprising to see that AI adoption in finance significantly lags other departments.

Finance 52

Finance Reporting Data Transformation Optimization 52

Jet Global

AUGUST 24, 2023

Reasons for Lingering On-Premises Many companies are willing to experiment with the cloud in other parts of their business, but they feel that they can’t put the quality, consistency, security, or availability of financial data in jeopardy. Thus, finance data remains on-premises.

Finance 52

Finance Reporting Data Integration Risk 52

Jet Global

APRIL 24, 2024

This approach allows you and your customers to harness the full potential of your data, transforming it into interactive, AI-driven conversations that can significantly enhance user engagement and insight discovery. Chatflows ensure every interaction is personal and relevant, transforming data queries into engaging conversations.

Business Intelligence 52

Business Intelligence Dashboards Software Reporting 52

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

MAY 9, 2024

Data Extraction : The process of gathering data from disparate sources, each of which may have its own schema defining the structure and format of the data and making it available for processing. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

MAY 1, 2023

BI is a set of independent systems (technologies, processes, people, etc.) that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint. And Manufacturing and Technology, both 11.6 It’s all about context. Financial Services represent 13.0

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52