Agile Engine

FEBRUARY 20, 2019

2018 was the second consecutive year when Gartner published an obituary of Big Data. No one, including Gartner, thinks Big Data is dead. Au contraire, Big Data has grown so ubiquitous it became “just data”, argue the authors of the obituaries. Trend 1: From Big Data to “Just Data”.

Big Data 71

Big Data Google Cloud Data Azure 71

Perficient

MARCH 19, 2024

BigQuery maximizes flexibility by separating the compute engine that analyzes your data from your storage choices. You can store and analyze your data within BigQuery or use BigQuery to assess your data where it lives. What data visualization tools should I use?

Data 111

Data Google Cloud Analytics Serverless 111

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies. User data collection is data about a user who is collected for market research purposes.

Big Data 52

Big Data Data Development Business Intelligence 52

CIO

MAY 16, 2023

The industries these decision-makers represented include insurance, banking, healthcare and life sciences, government, entertainment, and energy in the U.S. Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data.

Innovation 218

Innovation Blockchain Artificial Intelligence Artificial Inteligence 218

CTOvision

JULY 9, 2014

The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, What is Big Data? The data is too big, moves too fast, or does not fit the structures of your database architectures.

Big Data 114

Big Data Data CTO Fractional CTO 114

CTOvision

OCTOBER 12, 2015

Datameer kicked off their first Big Data & Brews on the East Coast at Strata + Hadoop World New York. Watch Part 1 of Big Data & Brews with Tony Baer here. Andrew: That’s sort of a prerequisite for Big Data and Brews. Real-time operational analytics. How’s that?

Big Data 115

Big Data Data Linux Government 115

CTOvision

JULY 19, 2016

One phrase in regular rotation in my elevator pitch is “data program governance." The individual words are straightforward: Data includes any kind of data such as numeric, financial, textual, image, or meta. Governance means the program is planned and managed in an organized and sustainable way. Strategy needed.

Government 60

Government Programming Data Big Data 60

CTOvision

AUGUST 15, 2013

By Bob Gourley Cloudera and Zoomdata Introduce the Next Generation of Data Analytics in a 27 Aug webinar (11am Eastern). As the sheer volume of data grows, government agencies are confronted with the challenge of how to manage and analyze Big Data. Discuss next generation data analytics.

Analytics 88

Analytics Big Data Data Architecture 88

CIO

FEBRUARY 14, 2023

This has also accelerated the execution of edge computing solutions so compute and real-time decisioning can be closer to where the data is generated. AI continues to transform customer engagements and interactions with chatbots that use predictive analytics for real-time conversations. report they have established a data culture 26.5%

Artificial Inteligence 277

Artificial Inteligence Strategy Data Machine Learning 277

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.

Data 87

Data Data Engineering Big Data Architecture 87

Perficient

FEBRUARY 16, 2023

In the first article in this series, I explained the five components necessary to prevent a Data Lake from Becoming a Data Swamp. The Data Catalog serves as an inventory of available data and provides information to evaluate the usefulness and quality of data to answer business questions and make better business decisions.

Data 110

Data Google Cloud Analytics Cloud 110

Apps Associates

MAY 18, 2021

Performing analytics on the data was possible but took a long time and was mostly done in batch (using map reduce routines written in Java). Yes the data lake was used as a staging ground for feeds into the data warehouse and, yes, offloading long running ETL to Hadoop clusters was an early favorite use case.

Cloud 98

Cloud Data Azure Analytics 98

CTOvision

FEBRUARY 26, 2014

By Bob Gourley With high-speed data analytics and cyber analytics enterprises shift the balance of power in cyber security. The new Novetta Cyber Analytics solution, running on a Teradata analytic data platform, can provide insight and discovery into the “who, what, where, when, and why” of advanced persistent threats.

Analytics 102

Analytics Big Data Conference Malware 102

Hu's Place - HitachiVantara

JUNE 4, 2018

In order for companies to be more agile in responding to changing customer needs and market dynamics, they must have a storage infrastructure that makes data available at the right time, at the right place and in the right format, so that they can derive value from it and turn raw data into insights that drive business outcomes.

Storage 49

Storage Infrastructure Agile Data Center 49

CTOvision

FEBRUARY 4, 2015

If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Who needs a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

TIBCO - Connected Intelligence

JULY 13, 2020

So, although we had to take a raincheck on the beer, I was glad to catch up with him for his insightful update on data and analytics adoption in Germany. As a BI Architect and Solutions Consultant, I span both data and analytics. We are big proponents of TIBCO’s data and analytics offerings.

Analytics 58

Analytics Data Virtualization Business Intelligence 58

CTOvision

MARCH 12, 2015

A white paper has been added to the CTOVision Research Library which showcases several use cases for improving security and efficiency for government agencies using Hadoop. Use Cases are grouped together into two main themes: IT Efficiency and Good Government practices. Good Government Use Cases.

Research 81

Research Open Source Government Storage 81

CTOvision

JANUARY 18, 2015

If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

Mobilunity

MAY 8, 2023

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Ingestion zone is where data is collected from various sources and ingested into the data lake. This includes data cleansing, normalization, and enrichment.

Engineering 52

Engineering Data Storage AWS 52

Apiumhub

MARCH 23, 2021

The concept of Data lake architecture has recently become a hot topic. These days, businesses use data to define their internal business objectives and metrics. Data Lakes offer agile analytics to measure you are continually evolving business. Data lakes really became the cornerstones of modern big data architecture.

Architecture 52

Architecture Artificial Inteligence Data Machine Learning 52

TIBCO - Connected Intelligence

NOVEMBER 10, 2019

This year’s theme for Big Data LDN (London) challenges organizations to take a data-oriented approach to solve their biggest business challenges. Streetman will be joined by independent analyst and co-chair of Big Data LDN Mike Ferguson and executives from IBM, Microsoft, and Thoughtspot.

Big Data 20

Big Data Data Analytics Storage 20

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 61

Telecommunications Data Architecture Big Data 61

Perficient

FEBRUARY 28, 2023

These charts show just a few of the use cases we’ve built for past provider, payer, and life sciences clients, to paint a picture of the actual analytics value we’ve delivered. There was also a real risk of a HIPAA data incident occurring due to limited controls around PHI and PII data, given the data sprawl mentioned.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

CTOvision

OCTOBER 27, 2014

Big Data Product Watch 10/17/14: Big Three Make Big Moves. — dominated Big Data news this week, while the third, MapR Technologies Inc., DataDirect Networks combines IBM GPFS, Storage Fusion for HPC. DataDirect Networks combines IBM GPFS, Storage Fusion for HPC. and Hortonworks Inc.

Technical Review 103

Technical Review Technology Big Data Firewall 103

O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Data Platforms. Data Integration and Data Pipelines. Data preparation, data governance, and data lineage.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

TechCrunch

MARCH 31, 2021

Big data analytics, monitoring and sensing tools, and robotics are also becoming fixtures on the farm. The bulk of Biden’s efforts to pour money into manufacturing represents another $300 billion in potential government funding. The administration doesn’t stop there.

Infrastructure 246

Infrastructure Real Estate Energy Technical Review 246

Hu's Place - HitachiVantara

APRIL 11, 2019

Few Data Management Frameworks are Business Focused Data management has been around since the beginning of IT, and a lot of technology has been focused on big data deployments, governance, best practices, tools, etc. However, large data hubs over the last 25 years (e.g., What has changed since then?

Data Engineering 81

Data Engineering Machine Learning Artificial Inteligence Technical Review 81

Hu's Place - HitachiVantara

JUNE 20, 2018

In my last blog post I commented on Hitachi Vantara’s selection as one of the “ Coolest Business Analytics vendors” by CRN, Computer Reseller News, and expanded on Hitachi Vantara’s business analytics capabilities. In this post I will be expanding on how we address the rest of the big data pyramid.

Big Data 49

Big Data Business Analytics Data Center Analytics 49

Kaseya

MAY 13, 2021

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. What Is a Public Cloud?

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. Operational efficiency across activities such as platform management / database administration, security and governance, and agile development (e.g., Elastic Compute.

Storage 92

Storage Azure Technical Review Database Administration 92

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 105

Data Artificial Inteligence Analytics Machine Learning 105

Altexsoft

SEPTEMBER 9, 2022

In data science , metadata is one of the central aspects: It describes data (including unstructured data streams) fed into a big data analytical platform, capturing, for example, formats, file sizes, source of information, permission details, etc. Metadata storage. Types of metadata.

Tools 59

Tools Technical Review Software Review Systems Review 59

CTOvision

OCTOBER 6, 2015

The entries were vetted in a two-stage process by the SINET Showcase Steering Committee, which was comprised of 100 security experts drawn from the venture, government, industry, academia, investment banking and private sector communities. Data science for security data volume. Sqrrl Data, Inc. –

Company 115

Company Big Data Government Innovation 115

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Hybrid clouds must bond together the two clouds through fundamental technology, which will enable the transfer of data and applications. Public cloud also introduces new challenges in governance, financial management and integration. Engagements may be on a short-term tactical basis or as part of a long-term managed service.

Cloud 78

Cloud Google Cloud Azure AWS 78

Data Virtualization

SEPTEMBER 16, 2020

Organizations are leveraging cloud analytics to extract useful insights from big data, which draws from a variety of sources such as mobile phones, Internet of. Organizations all over the world are migrating their IT infrastructures and applications to the cloud.

Azure 59

Azure Big Data Data Internet 59

Hu's Place - HitachiVantara

MAY 10, 2019

For this reason, many financial institutions are converting their fraud detection systems to machine learning and advanced analytics and letting the data detect fraudulent activity. However, in the rush to do this, many of these systems have been poorly architected to address the total analytics pipeline.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90