U-Next

SEPTEMBER 21, 2022

And while employing it is a fairly new technology, it already has a wide range of applications. This blog will look at the best contemporary applications of Artificial Intelligence in business. . Applications of AI in Business Operations . The best aspect is that technologies are getting inexpensive.

Insurance 40

Insurance Finance Transportation Machine Learning 40

Knowledge Hut

JULY 26, 2023

Database applications also help in data-driven decision-making by providing data analysis and reporting tools. In this blog, we will deep dive into database system applications in DBMS, and their components and look at a list of database applications. What are Database Applications? Spatial Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 52

ProjectPro

FEBRUARY 16, 2023

If you are still wondering whether or why you need to master SQL for data engineering, read this blog to take a deep dive into the world of SQL for data engineering and how it can take your data engineering skills to the next level. Your SQL skills as a data engineer are crucial for data modeling and analytics tasks.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

Rockset

MARCH 19, 2020

Intro In recent years, Kafka has become synonymous with “streaming,” and with features like Kafka Streams, KSQL, joins, and integrations into sinks like Elasticsearch and Druid, there are more ways than ever to build a real-time analytics application around streaming data in Kafka. Postgres), and maybe even data lake (i.e.

Kafka 40

Kafka Database Process SQL 40

ProjectPro

MAY 20, 2015

To answer this question at hand, this blog presents you 6 of the top big data companies to consider in the big data world. According to NASSCOM, the global big data analytics market is anticipated to reach $121 billion by 2016.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

ProjectPro

FEBRUARY 11, 2021

Behind this technology are data science teams and machine learning engineers who have not only built smart data science projects but constantly maintain them to ensure these machine learning applications work flawlessly. With these Data Science Projects in Python , your career is bound to reach new heights. Handling exceptions.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

Rockset

OCTOBER 26, 2023

That’s why JetBlue innovates with real-time analytics and AI, using over 15 machine learning applications in production today for dynamic pricing, customer personalization, alerting applications, chatbots and more. Rockset provides the speed and scale required of ML applications accessed daily by over 2,000 employees at JetBlue.

Machine Learning 64

Machine Learning Data Science Architecture Data Warehouse 64

Cloudera

NOVEMBER 2, 2020

This is resulting in advancements of what is provided by the technology, and a resulting shift in the art of the possible. Optimized access to both full fidelity raw data and aggregations. Optimized access to both current data and historical data. Time Series and Event Analytics Specialized RTDW. Spark Streaming.

Data Warehouse 99

Data Warehouse Kafka Lambda Architecture Telecommunication 99

Rockset

DECEMBER 9, 2019

This is where technologies like Rockset can help. Rockset is a real time analytics engine that allows SQL queries directly on raw data, such as nested JSON and XML. Real time streaming technologies such as Apache Kafka have allowed businesses to stream millions of rows per second from one data source to another.

Data Engineering 40

Data Engineering Data Engineer Raw Data Engineering 40

Cloudera

APRIL 2, 2019

Apache HBase® is one of many analytics applications that benefit from the capabilities of Intel Optane DC persistent memory. HBase is a distributed, scalable NoSQL database that enterprises use to power applications that need random, real time read/write access to semi-structured data.

NoSQL 49

NoSQL Google Cloud Hadoop Machine Learning 49

AltexSoft

OCTOBER 21, 2022

Kafka can continue the list of brand names that became generic terms for the entire type of technology. The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. Another security measure is an audit log to track access. If only Jay had different tastes.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Cloudera

NOVEMBER 13, 2017

Cloud PaaS takes this a step further and allows users to focus directly on building data pipelines, training machine learning models, developing analytics applications — all the value creation efforts, vs the infrastructure operations. The post The Future of Cloud-based Analytics (Part 3) appeared first on Cloudera Blog.

Cloud 40

Cloud Big Data Metadata Machine Learning 40

Cloudera

DECEMBER 7, 2017

Cloud service providers now offer a plethora of “house brand” analytics services, some brand new, some re-purposed versions of older technologies. Yet there is often a dark side to using public cloud service providers’ analytics offerings in the cloud, too. It’s time for a new approach to analytics in the cloud.

Building 40

Building Management Government BI 40

ProjectPro

SEPTEMBER 6, 2021

AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. Cloud Technology has risen in the latter half of the past decade. Amazon and Google are the big bulls in cloud technology, and the battle between AWS and GCP has been raging on for a while. Let’s get started!

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

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. The post Cross-Functional Trade Surveillance appeared first on Cloudera Blog. Conclusion.

Data Lake 42

Data Lake Electronics Media Unstructured Data 42

ProjectPro

JANUARY 31, 2023

In this blog, we'll dive into some of the most commonly asked big data interview questions and provide concise and informative answers to help you ace your next big data job interview. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Cloudera

NOVEMBER 9, 2018

Armed with those personal data, cybercrooks could use them to illegally access a victim’s bank account or create a composite of the individual to commit offline crimes such as burglary, extortion, or fraud. According to American historian Melvin Kranzberg, “Technology is neither good nor bad; nor is it neutral.”

Machine Learning 59

Machine Learning Banking Government Media 59

ProjectPro

MAY 23, 2015

Its scale in terms of customers, its scale in terms of products and its scale in terms of technology.”-said Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Walmart was the world’s largest retailer in 2014 in terms of revenue. Inkiru Inc.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Cloudera

OCTOBER 12, 2020

This typically involved a lot of coding with Java, Scala or similar technologies. We believe Eventador will accelerate innovation in our Cloudera DataFlow streaming platform and deliver more business value to our customers in their real-time analytics applications. Stay tuned for more product updates coming soon!

Cloud 132

Cloud Process Scala Kafka 132

ProjectPro

MAY 31, 2021

This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. Here are some options for collecting data that you can utilize: Connect to an existing database that is already public or access your private database.

Big Data 52

Big Data Coding Project Hadoop 52

Cloudera

MARCH 2, 2021

However, in the typical enterprise, only a small team has the core skills needed to gain access and create value from streams of data. Contrast that with the skills honed over decades for gaining access, building data warehouses, performing ETL, creating reports and/or applications using structured query language (SQL).

SQL 115

SQL Data Lake Java Scala 115

phData: Data Engineering

JULY 18, 2023

Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes. Perhaps the largest roadblock of this data-driven utopia is the continued reliance on a patchwork of legacy, on-premise technologies like Teradata, Netezza, Oracle, etc., Why Migrate to a Modern Data Stack?

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Cloudera

NOVEMBER 22, 2021

Explosion of data availability from a variety of sources, including on-premises data stores used by enterprise data warehousing / data lake platforms, data on cloud object stores typically produced by heterogenous, cloud-only processing technologies, or data produced by SaaS applications that have now evolved into distinct platform ecosystems (e.g.,

Government 97

Government Hadoop Data Security Data Warehouse 97