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

TechCrunch

JANUARY 16, 2021

Now tech companies across industries are poised for an even better year, according to more than a dozen investors we talked to in the country. Subscribe to access all of our investor surveys, company profiles and other inside tech coverage for startups everywhere. Tech investors must make sure that Israel is part of their portfolio.

Technical Review 354

Technical Review Software Review Trends Systems Review 354

Altexsoft

MARCH 18, 2021

It is the process of collecting raw data from disparate sources, transmitting it to a staging database for conversion, and loading prepared data into a unified destination system. As data keeps growing in volumes and types, the use of ETL becomes quite ineffective, costly, and time-consuming. Technology maturity.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

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. Technology Insights Keynote.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

Perficient

FEBRUARY 28, 2023

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. Our healthcare practice delivers strategic business and technology consulting insights that help our clients transform with today’s digital consumer experience demands.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

CTOvision

SEPTEMBER 8, 2014

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads.

Fractional CTO 105

Fractional CTO CTO Software Review Technical Review 105

Altexsoft

MARCH 30, 2023

The answer is simple: They use the same technology to make the most of data. Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. And here are several more reasons in favor of this choice.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

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. Technology Insights Keynote.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

Kaseya

NOVEMBER 9, 2023

Cloud computing leverages virtualization technology that enables the creation of digital entities called virtual machines. Along with the computing resources of IaaS, PaaS also offers middleware, development tools, business intelligence (BI) services, database management systems and more. How does cloud computing work?

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

Sunflower Lab

OCTOBER 2, 2023

Choosing the Ultimate Data Analytics Tool As a digital service providing enterprise, we constantly find ways to help a business through technology, and with this due process we find new innovative ideas and tools which are yet to be implemented by many of the enterprises in their system.

Azure 40

Azure Analytics UI/UX Software Review 40

Altexsoft

NOVEMBER 10, 2021

At the same time, it brings structure to data and empowers data management features similar to those in data warehouses by implementing the metadata layer on top of the store. Let’s elaborate on this and figure out how a data lakehouse is different from its ancestors and name inspirers in more detail. Data warehouse.

Architecture 52

Architecture Data Storage Machine Learning 52

Capgemini

NOVEMBER 14, 2022

Productivity along the chain can be enhanced with a data catalog, which is a repository of metadata on information sources from across the enterprise, including data sets, business intelligence reports, visualizations, and conversations. A data catalog for trust. First, though, users need to find the data.

Agile 52

Agile Technical Review Systems Review Artificial Intelligence 52

Hu's Place - HitachiVantara

JUNE 18, 2019

There has been a growing buzz from analysts and thought leaders on the growing role of object storage in the data center. Krista Macomber of Storage Switzerland reviews our recent enhancement to HCP in Hitachi Vantara Updates it Content Platform. He also cites some of the recent enhancement that have been added to HCP.

Storage 66

Storage Software Review Banking Technical Review 66

Altexsoft

APRIL 5, 2021

In recent history, the unprocessed and raw information that we call data has gained an increasing amount of traction due to companies realizing its potential. For a layman, this is exactly what started the buzz around big data. The Evolution of ETL Technology. Only useable for data-oriented developers or analysts.

Company 78

Company Data Technical Review Analysis 78

Altexsoft

MARCH 14, 2023

This development has paved the way for a suite of cloud-native data tools that are user-friendly, scalable, and affordable. Known as the Modern Data Stack (MDS) , this suite of tools and technologies has transformed how businesses approach data management and analysis. Data democratization.

Data 59

Data Technical Review Software Review Artificial Inteligence 59

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

DECEMBER 17, 2019

In the business sphere, a certain area of technology aims at helping people make the right decisions, by supporting them with the right data. This field is called business intelligence or BI. What is SAP Business Intelligence? Database and data management solutions. SAP Business Intelligence.

Business Intelligence 19

Business Intelligence Weak Development Team Systems Review Software Review 19

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. CI /CD for data operations. Source : The Phoenix Project.

Analytics 75

Analytics DevOps Development Software Review 75

Altexsoft

NOVEMBER 9, 2021

Accounts payable are most vulnerable to errors (whether deliberate or not) due to disconnected and inaccurate information, especially if you have to deal with a big amount of documentation and process multiple transactions. It’s usually used to adjust existing predictions within fast-changing markets such as innovative technology.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

FEBRUARY 3, 2020

This is a guest article by tech journalist Tobias Foster. It’s a well-known business mantra that receives a brand new layer of importance in the 21 st century. A study reveals that data-driven organizations are 23 times more likely to acquire customers than their less proactive competitors. What does it mean in practical terms?

Analytics 87

Analytics Tools Data Artificial Inteligence 87

Altexsoft

JANUARY 14, 2021

With all the transformations in the sphere of cloud and information technologies, it may seem as if data warehousing has lost its relevance. Though there are countless options for storing, analyzing, and indexing data, data warehouses have remained to the point. How to choose cloud data warehouse software: main criteria.

Backup 115

Backup Azure Software Review Systems Review 115

Altexsoft

OCTOBER 29, 2020

Here, we introduce you to ETL testing – checking that the data safely traveled from its source to its destination and guaranteeing its high quality before it enters your Business Intelligence reports. The terms “data warehouse testing” and “ETL testing” are often used interchangeably and that’s not a huge mistake.

Testing 63

Testing Tools Software Review Technical Review 63

Cloudera

AUGUST 31, 2021

Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis. Migration of historical data from EDW Platform.

Data 82

Data Analytics Cloud Technical Review 82

Altexsoft

SEPTEMBER 21, 2023

This endeavor would unwittingly plant the seeds for Elasticsearch, a technology that today drives data search and analytics for businesses around the globe. But like any technology, it has its share of pros and cons. Having replica shards ensures your data is not lost if a node fails.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Altexsoft

JUNE 20, 2019

In relational DBMS, the data appears as tables of rows and columns with a strict structure and clear dependencies. Due to the integrated structure and data storage system, SQL databases don’t require much engineering effort to make them well-protected. Limited compliance with SQL standards. Large capacity.

Systems Review 85

Systems Review System Software Review Open Source 85

Mobilunity

NOVEMBER 24, 2021

The demand for specialists who know how to process and structure data is growing exponentially. 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. Who Is an ETL Engineer?

Development 52

Development Storage Recruiting Architecture 52

Altexsoft

MAY 31, 2019

In addition, LMS manages necessary shipping papers, ensuring compliance with both in-country and cross-border regulatory programs. Using analytics and big data, the software can analyze shipping history and improve clients’ operations that will minimize logistical costs and reduce shipment delivery times. Transport management.

Transportation 85

Transportation Systems Review Software Review System 85

Cloudera

MAY 16, 2018

To respond to their respective business, operational, and regulatory requirements in a complex and competitive marketplace , each group needs its own set of subject matter expertise and best of breed technology platforms.

Analytics 42

Analytics Groups Enterprise Data 42

Altexsoft

OCTOBER 17, 2019

Low-quality data can also impede and slow down the integration of business intelligence and ML-powered predictive analytics. US company executives that participated in the Data trust pulse survey by PricewaterhouseCoopers noted that unreliable data is one of the obstacles to monetizing data.

Tools 16

Tools Data Technical Advisors Technical Review 16