David Menninger's Analyst Perspectives

DECEMBER 31, 2024

Task automation platforms initially enabled enterprises to automate repetitive tasks, freeing valuable human resources for more strategic activities. Enterprises that adopt RPA report reductions in process cycle times and operational costs.

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DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process.

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CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

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DataKitchen

JANUARY 25, 2022

There’s no shortage of consultants who will promise to manage the end-to-end lifecycle of data from integration to transformation to visualization. . The challenge is that data engineering and analytics are incredibly complex. The data requirements of a thriving business are never complete.

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bridgei2i

APRIL 28, 2020

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 2: How Data & Analytics Can Help in a Downturn. How Data & Analytics Can Help in a Downturn. Despite the downturn in the market, Doug explains that enterprises should focus on data and analytics investments. Subscribe Now.

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DataKitchen

APRIL 28, 2021

Industry analysts who follow the data and analytics industry tell DataKitchen that they are receiving inquiries about “data fabrics” from enterprise clients on a near-daily basis. Gartner included data fabrics in their top ten trends for data and analytics in 2019.

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O'Reilly on Data

FEBRUARY 11, 2019

I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. The resource examples I’ll cite will be drawn from the upcoming Strata Data conference in San Francisco , where leading companies and speakers will share their learnings on the topics covered in this post. Data Platforms.

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AWS Big Data

DECEMBER 17, 2024

Industry-leading price-performance Amazon Redshift offers up to three times better price-performance than alternative cloud data warehouses. Amazon Redshift scales linearly with the number of users and volume of data, making it an ideal solution for both growing businesses and enterprises.

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AWS Big Data

NOVEMBER 11, 2024

About the Authors Samir Patel is a Senior Data Architect at Amazon Web Services, where he specializes in OpenSearch, data analytics, and cutting-edge generative AI technologies. Samir works directly with enterprise customers to design and build customized solutions catered to their data analytics and cybersecurity needs.

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AWS Big Data

MARCH 13, 2025

At AWS re:Invent 2024, we announced the next generation of Amazon SageMaker , the center for all your data, analytics, and AI. Governance features including fine-grained access control are built into SageMaker Unified Studio using Amazon SageMaker Catalog to help you meet enterprise security requirements across your entire data estate.

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DataKitchen

JANUARY 19, 2022

The Matillion data integration and transformation platform enables enterprises to perform advanced analytics and business intelligence using cross-cloud platform-as-a-service offerings such as Snowflake. Adding DataOps to ETL processes is the secret to eliminating errors and dramatically improving analytic cycle times.

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AWS Big Data

MARCH 27, 2024

AWS has invested in a zero-ETL (extract, transform, and load) future so that builders can focus more on creating value from data, instead of having to spend time preparing data for analysis. Analytics Specialist Solutions Architect specializing in architecting enterprise data platforms. Satesh Sonti is a Sr.

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CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. The program must introduce and support standardization of enterprise data.

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DataKitchen

NOVEMBER 18, 2021

Data engineers end up fixing the same problem over and over. Enterprises must empower data engineers to fix processes instead of just bugs. Imagine a data pipeline error or data problem that impacts critical analytics. Data engineers do not have to choose between agility and quality.

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IBM Big Data Hub

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Furthermore, a global effort to create new data privacy laws, and the increased attention on biases in AI models, has resulted in convoluted business processes for getting data to users. Data governance.

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DataKitchen

MAY 10, 2021

If you have been in the data profession for any length of time, you probably know what it means to face a mob of stakeholders who are angry about inaccurate or late analytics. In a medium to large enterprise, thousands of things have to happen correctly in order to deliver perfect analytic insights.

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AWS Big Data

JANUARY 6, 2025

It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data. Tens of thousands of customers use Amazon Redshift to process large amounts of data, modernize their data analytics workloads, and provide insights for their business users.

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erwin

JANUARY 30, 2020

Digital transformation and data standards/uniformity round out the top five data governance drivers, with 37 and 36 percent, respectively. Constructing a Digital Transformation Strategy: How Data Drives Digital. However, more than 50 percent say they have deployed metadata management, data analytics, and data quality solutions.

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CIO Business Intelligence

DECEMBER 20, 2022

The benefits of hybrid multicloud in healthcare When it comes to cloud adoption, the healthcare industry has been slow to relinquish the traditional on-premises data center due to strict regulatory and security requirements and concerns around interoperability and data integration.

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Data Virtualization

JANUARY 19, 2023

Unfortunately, with data spread. The post Modernizing Data Analytics Architecture with the Denodo Platform on Azure appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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AWS Big Data

JULY 25, 2023

Today, in order to accelerate and scale data analytics, companies are looking for an approach to minimize infrastructure management and predict computing needs for different types of workloads, including spikes and ad hoc analytics. Partner Solutions Architect in Data and Analytics at AWS.

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CIO Business Intelligence

JANUARY 24, 2024

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Overlooking these data resources is a big mistake.

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FineReport

APRIL 26, 2023

With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth. What is Big Data? What is Big Data? It is an ever-expanding collection of diverse and complex data that is growing exponentially.

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AWS Big Data

AUGUST 22, 2024

Kaplan data engineers empower data analytics using Amazon Redshift and Tableau. The infrastructure provides an analytics experience to hundreds of in-house analysts, data scientists, and student-facing frontend specialists. Committed to fostering a learning culture, Kaplan is changing the face of education.

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Ontotext

JUNE 10, 2021

For instance, the analysis of M&A transactions in order to derive investment insights requires the raw transaction data, in addition to the information on relationships of the companies involved in these transactions, e.g. subsidiaries, joint ventures, investors or competitors. Schemas are powerful. It provides meaning.

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AWS Big Data

NOVEMBER 30, 2023

In this post, we explore how to use the AWS Glue native connector for Teradata Vantage to streamline data integrations and unlock the full potential of your data. Businesses often rely on Amazon Simple Storage Service (Amazon S3) for storing large amounts of data from various data sources in a cost-effective and secure manner.

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CIO Business Intelligence

MAY 18, 2022

The discipline of enterprise architecture (EA) is often criticized for forcing technology choices on business users or producing software analyses no one uses. Forrester Research has identified more than 20 types of enterprise architecture roles being used by its clients. You need an ecosystem of subject-matter experts.

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CIO Business Intelligence

JUNE 21, 2022

In a bid to help enterprises offer better customer service and experience , Amazon Web Services (AWS) has added a new case management feature, dubbed Amazon Cases, to its Amazon Connect cloud-based contact center service. Amazon claims that this allows enterprises to build a chatbot within hours instead of weeks.

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AWS Big Data

AUGUST 19, 2024

As organizations increasingly rely on data stored across various platforms, such as Snowflake , Amazon Simple Storage Service (Amazon S3), and various software as a service (SaaS) applications, the challenge of bringing these disparate data sources together has never been more pressing.

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AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

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CIO Business Intelligence

APRIL 5, 2022

Investment in data warehouses is rapidly rising, projected to reach $51.18 billion by 2028 as the technology becomes a vital cog for enterprises seeking to be more data-driven by using advanced analytics. Data warehouses are, of course, no new concept. More data, more demanding. “As

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DataKitchen

JULY 27, 2023

Let’s go through the ten Azure data pipeline tools Azure Data Factory : This cloud-based data integration service allows you to create data-driven workflows for orchestrating and automating data movement and transformation. You can use it for big data analytics and machine learning workloads.

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Smart Data Collective

SEPTEMBER 26, 2019

Below, we have laid down 5 different ways that software development can leverage Big Data. With the data analytics software, development teams are able to organize, harness and use data to streamline their entire development process and even discover new opportunities. Data Integration. Improving Efficiency.

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IBM Big Data Hub

NOVEMBER 14, 2023

Advanced data management software and generative AI can accelerate the creation of a platform capability for scalable delivery of enterprise ready data and AI products. Data-as-a-Service and data marketplaces are well established to create data value from initiatives built on data analytics, big data and business intelligence.

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AWS Big Data

SEPTEMBER 7, 2023

We will partition and format the server access logs with Amazon Web Services (AWS) Glue , a serverless data integration service, to generate a catalog for access logs and create dashboards for insights. Both the user data and logs buckets must be in the same AWS Region and owned by the same account. Big Data Architect.

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Jet Global

OCTOBER 28, 2021

Deal accelerates insightsoftware’s enterprise position in operational reporting by adding market-leading data analytics and integration products including SAP and Oracle ERP reporting solutions. is a leading provider of financial reporting and enterprise performance management?software. RALEIGH, N.C.

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CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. Candidates are also required to have at least a BA or MA in information systems, computer science, accounting, business administration, engineering, mathematics, sciences, or statistics.

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