CIO

APRIL 22, 2022

Data science certifications. Organizations need data scientists and analysts with expertise in techniques for analyzing data. Data science teams. Data science is generally a team discipline. Incrementally, presentations that communicate what the team is up to are also important deliverables.

Data 210

Data Artificial Inteligence Machine Learning Analytics 210

Mobilunity

AUGUST 3, 2021

Big Data is a collection of data that is large in volume but still growing exponentially over time. It is so large in size and complexity that no traditional data management tools can store or manage it effectively. While Big Data has come far, its use is still growing and being explored.

Big Data 52

Big Data Data Engineering Engineering Data 52

Altexsoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineering 98

Data Engineering Engineering Data Artificial Inteligence 98

Apiumhub

DECEMBER 9, 2024

It allows information engineers, facts scientists, and enterprise analysts to query, control, and use lots of equipment and languages to gain insights. This opens a web-based development environment where you can create and manage your Synapse resources, including data integration pipelines, SQL queries, Spark jobs, and more.

Azure 89

Azure Analytics Storage Artificial Inteligence 89

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

CIO

MARCH 21, 2022

Data scientists are often engaged in long-term research and prediction, while data analysts seek to support business leaders in making tactical decisions through reporting and ad hoc queries aimed at describing the current state of reality for their organizations based on present and historical data.

Analytics 205

Analytics Data Technical Review Analysis 205

CIO

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Not finding what you’re looking for?

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry. Knowledge of Scala or R can also be advantageous.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

CTOvision

JANUARY 28, 2015

Strata + Hadoop World is where big data''s most influential business decision makers, strategists, architects, developers, and analysts gather to shape the future of their businesses and technologies. If you want to tap into the opportunity that big data presents, you want to be there. Data scientists.

Big Data 109

Big Data Case Study Conference Study 109

CIO

JUNE 13, 2024

The rising demand for data analysts The data analyst role is in high demand, as organizations are growing their analytics capabilities at a rapid clip. In July 2023, IDC forecast big data and analytics software revenue would hit $122.3 The difference between data analysts and data scientists comes down to timescale.

Data 148

Data Analytics Transportation Business Intelligence 148

CIO

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance.

Analytics 203

Analytics Data Analysis Business Analytics 203

Cloudera

NOVEMBER 27, 2017

In an earlier VISION post, The Five Markers on Your Big Data Journey , Amy O’Connor shared some common traits of many of the most successful data-driven companies. In this blog, I’d like to explore what I believe is the most important of those traits, building and fostering a culture of data. .

Big Data 41

Big Data Culture Data Telecommunications 41

Altexsoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data 87

Data Data Engineering Big Data Architecture 87

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.

Weak Development Team 52

Weak Development Team Big Data Data Artificial Inteligence 52

Perficient

MARCH 27, 2025

Data privacy regulations such as GDPR , HIPAA , and CCPA impose strict requirements on organizations handling personally identifiable information (PII) and protected health information (PHI). Ensuring compliant data deletion is a critical challenge for data engineering teams, especially in industries like healthcare, finance, and government.

Compliance 59

Compliance Systems Review Policies Storage 59

Hacker Earth Developers Blog

JUNE 26, 2019

The candidate should be able to understand the problem from the perspective of the company’s business,translate that problem into a data science problem and solve it using the above described skill set. Using developer assessment software for hiring data scientists. Data mining : This refers to handling and cleaning data.

Data 200

Data How To Artificial Inteligence Machine Learning 200

Kentik

JULY 19, 2017

I recently had the chance to present at A10 Connect, a user conference for A10 Networks. I thought it would be fun to frame my presentation in three acts like a typical summer blockbuster. Because “package tracking” in a large network is a big data problem, and traditional network management tools weren’t built for that volume of data.

Big Data 40

Big Data Network Data Systems Review 40

Altexsoft

JUNE 29, 2021

MLEs are usually a part of a data science team which includes data engineers , data architects, data and business analysts, and data scientists. Who does what in a data science team. Machine learning engineers are relatively new to data-driven companies.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Cloudera

JUNE 10, 2021

Apache Spark is a very popular analytics engine used for large-scale data processing. It is widely used for many big data applications and use cases. We are going to use an Operational Database COD instance and Apache Spark present in the Cloudera Data Engineering experience. . Prerequisites .

How To 92

How To Data Engineering Virtualization Resources 92

Cloudera

MARCH 10, 2022

Gisele Ferreira continues, “Throughout my career at other companies, I realized that in many situations I needed to expend more energy in order to achieve my goals, whether in a negotiation round, presenting a project, or arguing for a solution. I won the competition and took the IT Director position.”. Changing the mindset. ’”.

Data 118

Data Weak Development Team Big Data Energy 118

CIO

DECEMBER 10, 2024

InnoGames QueryMind automatically translates this query into an SQL query, executes it on StarRocks and presents the results in an easy-to-understand format. This makes valuable knowledge for data-driven decisions accessible to a wider range of employees. Volker Janz has been part of the data team at InnoGames GmbH for over a decade.

Artificial Inteligence 147

Artificial Inteligence Games Company Artificial Intelligence 147

AWS Machine Learning - AI

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise.

Serverless 104

Serverless AWS Artificial Inteligence Big Data 104

Apiumhub

JUNE 22, 2021

Data Innovation Summit topics. Same as last year, the event offers six workshops (crash-course) themes, each dedicated to a unique domain area: Data-driven Strategy, Analytics & Visualisation, Machine Learning, IoT Analytics & Data Management, Data Management and Data Engineering.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

Cloudera

APRIL 22, 2021

This CVD is built using Cloudera Data Platform Private Cloud Base 7.1.5 Apache Ozone is one of the major innovations introduced in CDP, which provides the next generation storage architecture for Big Data applications, where data blocks are organized in storage containers for larger scale and to handle small objects.

Data 101

Data Storage Architecture Big Data 101

Apiumhub

FEBRUARY 6, 2023

In this event, hundreds of innovative minds, enterprise practitioners, technology providers, startup founders, and innovators come together to discuss ideas on data science, big data, ML, AI, data management, data engineering, IoT, and analytics. Feel free to check out the whole list of speakers here.

Innovation 83

Innovation Data Artificial Inteligence Machine Learning 83

Cloudera

JUNE 7, 2022

Only a fraction of data created is actually stored and managed, with analysts estimating it to be between 4 – 6 ZB in 2020. Clearly, hybrid data presents a massive opportunity and a tough challenge. Capitalizing on the potential requires the ability to harness the value of all of that data, no matter where it is.

Data 112

Data Architecture Analytics Big Data 112

CIO

JUNE 14, 2023

Big data exploded onto the scene in the mid-2000s and has continued to grow ever since. Today, the data is even bigger, and managing these massive volumes of data presents a new challenge for many organizations. Even if you live and breathe tech every day, it’s difficult to conceptualize how big “big” really is.

Data 97

Data Scalability Storage Big Data 97

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview.

Analytics 20

Analytics Data IoT Analysis 20

CTOvision

FEBRUARY 23, 2017

This is the place to dive deep into the latest on Big Data, Analytics, Artificial Intelligence, IoT, and the massive cybersecurity issues in all those topics. If you want to tap into the opportunity that big data presents, you want to be there. Data scientists. Data engineers. Product managers.

Big Data 61

Big Data Case Study Artificial Intelligence Artificial Inteligence 61

Altexsoft

APRIL 16, 2021

An overview of data warehouse types. Optionally, you may study some basic terminology on data engineering or watch our short video on the topic: What is data engineering. What is data pipeline. Creating a cube is a custom process each time, because data can’t be updated once it was modeled in a cube.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

O'Reilly Media - Ideas

JUNE 4, 2019

Giving a Powerful Presentation , July 25. How to Give Great Presentations , August 13. Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Programming.

Course 92

Course Training Artificial Inteligence Software Review 92

Kentik

MARCH 7, 2023

Solving these problems for distributed cloud networks has required a big data approach, ultimately resulting in the evolution of network observability. Rich context and real-time datasets allow network engineers to dynamically filter, drill down, and map networks as queries adjust. Leverage automated insights and response flows.

Network 99

Network Cloud Data Case Study 99

Cloudera

AUGUST 20, 2021

The Cloudera Data Platform comprises a number of ‘data experiences’ each delivering a distinct analytical capability using one or more purposely-built Apache open source projects such as Apache Spark for Data Engineering and Apache HBase for Operational Database workloads. Conclusion.

Strategy 98

Strategy Data Technical Review Weak Development Team 98

Datavail

JUNE 8, 2023

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. I’ll recap our presentations and everything else the Datavail team learned at Data Summit 2023. in order to ensure successful transitions from DBA roles into data engineering roles.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Apiumhub

NOVEMBER 17, 2022

More than 25 speakers will be present at the conference to share their knowledge and opinions on a variety of topics in the tech industry. Jesse Anderson – Data Engineer, Creative Engineer, and Managing Director of Big Data Institute. Engineering Documentation – Lorna Jane Mitchell.

Technical Review 80

Technical Review Software Review Fractional CTO CTO Coach 80

Altexsoft

JANUARY 14, 2021

Often, it is aggregated or segmented in data marts, facilitating analysis and reporting as users can get information by units, sections, departments, etc. Data warehouse architecture. The architecture of a data warehouse is a system defining how data is presented and processed within a repository.

Backup 115

Backup Azure Software Review Architecture 115

TIBCO - Connected Intelligence

AUGUST 10, 2020

Taking action to leverage your data is a multi-step journey, outlined below: First, you have to recognize that sticking to the status quo is not an option. Your data demands, like your data itself, are outpacing your data engineering methods and teams. Data virtualization presents a compelling financial case.

Virtualization 69

Virtualization Data How To Data Engineering 69