CIO

MARCH 24, 2023

A framework for managing data 10 master data management certifications that will pay off Big Data, Data and Information Security, Data Integration, Data Management, Data Mining, Data Science, IT Governance, IT Governance Frameworks, Master Data Management

Government 357

Government Data Technical Review Policies 357

CTOvision

FEBRUARY 17, 2015

of their open data platform including new features which will be of high interest to any enterprise with data (all enterprises!). From their press release: Pentaho to Deliver On Demand Big Data Analytics at Scale on Amazon Web Services and Cloudera. Big Data Analytics with Cloudera Impala. “As Pentaho 5.3:

Big Data 109

Big Data Analytics AWS Data 109

Altexsoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

Data 87

Data Data Engineering Big Data Architecture 87

Cloudera

DECEMBER 19, 2018

Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

Analytics 52

Analytics Trends Data Big Data 52

O'Reilly Media - Data

MARCH 7, 2018

Watch highlights covering machine learning, business intelligence, data privacy, and more. From the Strata Data Conference in San Jose 2018. Experts from across the data world came together in San Jose, California for the Strata Data Conference. Crisis Text Line data usage and insights.

Conference 110

Conference Machine Learning Artificial Inteligence Data 110

Apiumhub

APRIL 6, 2021

Towards Data Science It is a blog powered by the community of data science professionals. Towards Data Science is helping build an ecosystem of content and welcomes insightful people to share their take on several of innovations in the form of tutorials, tips, analysis, and hands-on experiences, to the readers.

Technical Review 52

Technical Review Data Artificial Inteligence Software Review 52

Xebia

JANUARY 19, 2023

The following quotes date back to those years: Data Engineers set up and operate the organization’s data infrastructure, preparing it for further analysis by data analysts and scientist. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

CTOvision

MARCH 14, 2014

Pentaho Announces Record Year in 2013 with 83% Growth in Big Data and Embedded Analytics. March 12, 2014, San Francisco, CA —Delivering the future of analytics , Pentaho Corporation today announced that 2013 was another record year with 83 percent bookings growth from big data and embedded analytics customers over 2012.

Big Data 107

Big Data Business Analytics Analytics Business Intelligence 107

Perficient

FEBRUARY 28, 2023

This included: First understanding and prioritizing the business and IT needs and challenges Defining the platform and program architecture, AND selecting the cloud platform and tools, And defining the program structure, project organization, and execution plan to implement the roadmap.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

CTOvision

MARCH 5, 2014

Ralph Kimball will describe how Apache Hadoop complements and integrates effectively with the existing enterprise data warehouse. Dr. Kimball will explain how Hadoop can be both: A destination data warehouse, and also. The Data Warehouse Toolkit, 3rd Edition: The Definitive Guide to Dimensional Modeling. Complimentary Chapter.

Data 107

Data Big Data Case Study Analysis 107

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. 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

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

FEBRUARY 8, 2021

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Apiumhub

MARCH 16, 2021

With more and more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way and that’s what business intelligence is all about. In this article we will talk about Business Intelligence tools, benefits & use cases. . What is Business Intelligence.

Business Intelligence 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

TechCrunch

MARCH 9, 2022

As organizations continue to build out their digital architecture, a new category of enterprise software has emerged to help them manage that process. “Enterprise architecture today is very much about the scaffolding in the organization,” he said. This means that you can also then run, for example, scenario analysis.

Architecture 246

Architecture Enterprise Network Organization 246

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Big data processing.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Cloudera

AUGUST 31, 2021

While this “data tsunami” may pose a new set of challenges, it also opens up opportunities for a wide variety of high value business intelligence (BI) and other analytics use cases that most companies are eager to deploy. . Separated Big Data cluster from other programs for Data Science / Discovery to isolate workloads.

Data 80

Data Analytics Cloud Technical Review 80

Altexsoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Big Data 59

Big Data Data Google Cloud Storage 59

Altexsoft

JANUARY 22, 2020

A complete guide to business intelligence and analytics. The role of business intelligence developer. Data visualization as a part of data representation and analytics. It’s essential to also cover the benefits of processing streamed data, and the main use-cases for this type of data analysis.

Analytics 20

Analytics Data IoT Analysis 20

TIBCO - Connected Intelligence

SEPTEMBER 20, 2019

One of the main objectives with implementing cutting-edge analytics and data management technology is to provide more timely analysis to improve their understanding, planning, and performance evaluation process. Each one is different, but they all work together to effectively and efficiently manage data.

Analytics 20

Analytics Business Intelligence Big Data Enterprise 20

Kentik

MARCH 27, 2017

I recently had an interesting conversation with an industry analyst about how Kentik customers use our big data network visibility solution for more accurate DDoS detection, automated hybrid mitigation, and deep ad-hoc analytics. I was focused on our current customer base in digital business as well as cloud and service providers.

Enterprise 40

Enterprise Policies Analytics Architecture 40

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. Types of metadata. There are multiple ways to categorize metadata.

Tools 59

Tools Technical Review Software Review Systems Review 59

Altexsoft

APRIL 23, 2019

But how to turn unstructured data chunks into something useful? The answer is business intelligence. In this article, we will discuss the actual steps of bringing business intelligence into your existing corporate infrastructure. What is business intelligence? Data cleaning/standardization.

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

Infinidat

MARCH 10, 2021

Re-Thinking the Storage Infrastructure for Business Intelligence. With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Adriana Andronescu. Wed, 03/10/2021 - 12:42.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

APRIL 22, 2020

Data engineering is a part of data science , a broad term that encompasses many fields of knowledge related to working with data. In its core, data science is all about getting data for analysis to produce meaningful and useful insights. Or you can get data from public sources available online.

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69

CIO

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). Under Guadagno, the Deerfield, Ill.-based

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

Altexsoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Traditional data warehouse platform architecture. Data lake architecture example.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

APRIL 13, 2023

Supply chain control tower architecture: main components, integrations, and data sources As we mentioned, an SCCT is typically comprised of multiple components that handle various aspects of supply chain management. Let’s look closer at what’s there under the hood and list the main components, integrations, and data sources.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

CIO

APRIL 10, 2024

After all, when a project is facing problems, root-cause analysis often shows that the real issues weren’t in the code but in the understanding of the problem, design, the project management, or domain knowledge. Previous generations of AI and analytics, big data, or streaming data, were led by technologies.

Artificial Inteligence 338

Artificial Inteligence Generative AI Training Coaching 338

CTOvision

MARCH 13, 2015

It has been in the business intelligence sector competing with capabilities from Business Objects, Microstrategy and Oracle. A query layer with optimized query generation combined with multiple levels of in-memory caching provides enhanced performance for complex heterogeneous data. Big data interoperability.

Business Intelligence 89

Business Intelligence SOA Analytics Analysis 89

Kentik

MAY 31, 2016

In the first post we discussed the need for a Big Data approach to network management in order to support agile business models and rapid innovation. In the second post we looked at how insights from a Big Data approach to network management enable data-driven network operations.

Big Data 40

Big Data Data Analytics Weak Development Team 40

Altexsoft

APRIL 16, 2021

Namely, we’ll explain what functions it can perform, and how to use it for data analysis. As the topic is closely related to business intelligence (BI) and data warehousing (DW), we suggest you to get familiar with general terms first: A guide to business intelligence. Data operations in OLAP.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

CIO

AUGUST 5, 2022

Key data visualization benefits include: Unlocking the value big data by enabling people to absorb vast amounts of data at a glance. Identifying errors and inaccuracies in data quickly. They provide designers with the tools they need to create visual representations of large data sets.

Data 358

Data Analytics Travel Business Intelligence 358

Perficient

JULY 4, 2023

The process involves extracting data from the source systems, transforming it into a format that can be used by the destination system, and then loading it into the destination system. This approach is often used when the destination system has the capability to perform complex transformations and data manipulation. What is ELT?

Big Data 52

Big Data Scalability Analysis Performance 52

Altexsoft

FEBRUARY 10, 2021

New approaches arise to speed up the transformation of raw data into useful insights. Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. Data analysis. Data visualization/reporting.

Analytics 75

Analytics DevOps Development Software Review 75

Mobilunity

NOVEMBER 24, 2021

In most digital spheres, especially in fintech, where all business processes are tied to data processing, a good big data engineer is worth their weight in gold. In this article, we’ll discuss the role of an ETL engineer in data processing and why businesses need such experts nowadays. Data modeling.

Development 52

Development Storage Recruiting Architecture 52