Cloudera

FEBRUARY 23, 2023

The power of data to save lives Keck Medicine of USC (KMC), a university-based medical system in Southern California, has taken on this challenge with the help of Cloudera’s data management platform, CDP (Cloudera Data Platform ).

Data Analytics 77

Data Analytics Electronics Pharmaceutical Medical 77

AltexSoft

MAY 14, 2021

And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Snowflake

MARCH 19, 2025

With a simplified interface, improved flexibility and self-service analytics, teams can more easily identify discrepancies, enhance financial reporting and drive more informed decision-making. Snowflake and Microsoft provide the most comprehensive data, analytics, apps and AI stack for enterprises of all sizes and for all users.

Retail 96

Retail Media Entertainment Unstructured Data 96

Knowledge Hut

MARCH 27, 2024

The collection of meaningful market data has become a critical component of maintaining consistency in businesses today. A company can make the right decision by organizing a massive amount of raw data with the right data analytic tool and a professional data analyst. What Is Big Data Analytics?

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

OCTOBER 6, 2023

Recently, the AWS Data Analytics Certification has captured my attention, and I have been researching the many AWS data analytics certification benefits. I'll delve into the specifics in this post to help you determine if AWS Data Analytics certification is worth it. What is AWS Data Analytics?

AWS 52

AWS Certification Data Analytics IT 52

Knowledge Hut

JANUARY 18, 2024

“Big data Analytics” is a phrase that was coined to refer to amounts of datasets that are so large traditional data processing software simply can’t manage them. For example, big data is used to pick out trends in economics, and those trends and patterns are used to predict what will happen in the future.

Data Process 52

Data Process Process Hadoop Scala 52

DataKitchen

MARCH 20, 2025

Unlocking Data Team Success: Are You Process-Centric or Data-Centric? Over the years of working with data analytics teams in large and small companies, we have been fortunate enough to observe hundreds of companies. We want to share our observations about data teams, how they work and think, and their challenges.

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Pipeline-centric Database-centric Process Data 64

Analytics Vidhya

FEBRUARY 23, 2023

Introduction Big Data is a large and complex dataset generated by various sources and grows exponentially. It is so extensive and diverse that traditional data processing methods cannot handle it. The volume, velocity, and variety of Big Data can make it difficult to process and analyze.

Big Data Tools 242

Big Data Tools Big Data Datasets Data 242

Monte Carlo

JANUARY 12, 2024

We’ve previously discussed the need for quality over quantity when it comes to big data and, in this article, we’ll be looking at how recent technological innovations and new processes across 4 of the 5 ‘V’s of big data (volume, velocity, veracity, variety) are changing the future of big data analytics.

Big Data 59

Big Data Data Analytics Data Science Data Lake 59

Knowledge Hut

JANUARY 18, 2024

Think AI, ML, edge computing, and IoT - these cutting-edge technologies are set to revolutionize the way we analyze and extract value from data. The data analytics future is brimming with exciting possibilities. So, get ready to dive into the captivating world of data analytics, where the future holds endless opportunities.

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 52

Knowledge Hut

FEBRUARY 7, 2023

The study of examining unprocessed data to draw inferences about such information is known as data analytics. Many data analytics methods and procedures have been mechanized into mechanical procedures and algorithms that operate on raw data for human consumption. This is the most frequently asked question.

Data Analytics 52

Data Analytics Business Analyst Raw Data Data Analysis 52

Knowledge Hut

MARCH 7, 2024

Introduction to Big Data Analytics Tools Big data analytics tools refer to a set of techniques and technologies used to collect, process, and analyze large data sets to uncover patterns, trends, and insights. Importance of Big Data Analytics Tools Using Big Data Analytics has a lot of benefits.

Big Data 52

Big Data Data Analytics Data Mining MongoDB 52

Knowledge Hut

JULY 4, 2023

The rising demand for data analysts along with the increasing salary potential of these roles is making this an increasingly attractive field. But which are the highest-paying data analytics jobs available? This blog lists some of the most lucrative positions for aspiring data analysts. What is Data Analytics?

Data Analytics 52

Data Analytics Data Architect Transportation Data Science 52

Knowledge Hut

JUNE 23, 2023

Real-time data analytics is an essential innovation that enables companies to act quickly on data. By this year, more than half of business systems would base choices on current context data. This demonstrates the rising significance of real-time analytics architecture in the hectic corporate climate of today.

Data Analytics 52

Data Analytics IT Transportation Analytics Architecture 52

Edureka

JUNE 1, 2023

This is where AWS Data Analytics comes into action, providing businesses with a robust, cloud-based data platform to manage, integrate, and analyze their data. In this blog, we’ll explore the world of Cloud Data Analytics and a real-life application of AWS Data Analytics.

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

Snowflake

NOVEMBER 11, 2024

Conversations centered on the theme of “Human x Machine,” and while AI was a focus, there were plenty of other insights around real-time data analytics, security considerations and customer strategies that are guiding the future of money.

Banking 98

Banking Finance Retail Food 98

Snowflake

MARCH 16, 2023

Better insight into pricing, stock, and customer demand John Lewis has put Snowflake’s Data Cloud at the heart of its data ecosystem—providing better controls and standardizing data analytics tooling internally and externally. The Snowflake Data Cloud is massive for us,” said Panayi. “It

Data Process 52

Data Process Cloud Process IT 52

AltexSoft

JULY 18, 2023

Whether you’re a data scientist, software engineer, or big data enthusiast, get ready to explore the universe of Apache Spark and learn ways to utilize its strengths to the fullest. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

Big Data 52

Big Data Data Process Process Hadoop 52

Databand.ai

DECEMBER 20, 2022

The Top Data Analytics and Science Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-20 11:06:32 If you’re looking to brush up on all things data analytics and science, then LinkedIn certainly has no shortage of content. On LinkedIn, he posts regularly about data analytics and data science.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

Data Engineering Weekly

OCTOBER 27, 2024

The learning mostly involves understanding the data's nature, frequency of data processing, and awareness of the computing cost. The author proposes three trends: data engineering as a software engineering discipline , data contracts and data products , and Shift Left as ways to address this problem.

Data Engineering 58

Data Engineering Data Engineer Engineering Unstructured Data 58

Striim

DECEMBER 18, 2024

Anomaly Detection for Reliability Real-time data analytics are essential for airlines to maintain operational efficiency and safety. Weight and Balance Optimization Real-time analysis of passenger and cargo loads helps reduce excess weight, ensuring more efficient fuel burn.

Aggregated Data 52

Aggregated Data Machine Learning Data Integration Data 52

Knowledge Hut

APRIL 25, 2024

If you want to stay ahead of the curve, you need to be aware of the top big data technologies that will be popular in 2024. This article will discuss big data analytics technologies, technologies used in big data, and new big data technologies. What Are Big Data T echnologies?

Big Data 98

Big Data Technology Hadoop NoSQL 98

Snowflake

APRIL 9, 2025

It employs Snowpark Container Services to build scalable AI/ML models for satellite data processing and Snowflake AI/ML functions to enable advanced analytics and predictive insights for satellite operators. Sherloq aims to change this by offering a collaborative platform for managing and documenting data analytics workflows.

Pharmaceutical 59

Pharmaceutical Manufacturing Data Ingestion SQL 59

Confluent

MARCH 26, 2020

Is event streaming or batch processing more efficient in data processing? Is an IoT system the same as a data analytics system, and a fast data system the same as […].

Big Data 91

Big Data Data Data Analytics Process 91

Rockset

JULY 29, 2022

This fast, serverless, highly scalable, and cost-effective multi-cloud data warehouse has built-in machine learning, business intelligence, and geospatial analysis capabilities for querying massive amounts of structured and semi-structured data. BigQuery pricing has two main components: query processing costs and storage costs.

Data Analytics 52

Data Analytics Data Warehouse Datasets Cloud 52

Cloudera

NOVEMBER 18, 2020

It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. .

Medical 123

Medical Banking Telecommunication Government 123

Data Engineering Weekly

MAY 26, 2024

[link] Sponsored: From 90-sec queries to sub-second with DoubleCloud Learn how LSports, a top provider of real-time sports data, improved its data analytics using DoubleCloud’s Managed ClickHouse. seconds, enhancing real-time sports data analytics efficiency!

Data Engineering 77

Data Engineering Data Engineer Engineering Google Cloud 77

DataKitchen

DECEMBER 30, 2020

In June of 2020, Database Trends & Applications featured DataKitchen’s end-to-end DataOps platform for its ability to coordinate data teams, tools, and environments in the entire data analytics organization with features such as meta-orchestration , automated testing and monitoring , and continuous deployment : DataKitchen [link].

Manufacturing 96

Manufacturing Big Data Data Pipeline Data Science 96

Precisely

JULY 26, 2024

These early mainframes were colossal machines, filling entire rooms and marked by their substantial processing power. Initially designed to handle large-scale computations and data processing tasks, mainframes quickly became essential in industries requiring robust computing capabilities. million Docker containers.

Programming Language 98

Programming Language Hadoop Cloud Computing Data Analytics 98

Knowledge Hut

JANUARY 29, 2024

In a nutshell, the data is gathered from the internet in cloud computing. Cloud computing does not rely on data analytics in any way. With the increase in data production, data science has grown its popularity. Data Science is known to use data analytics software for this process.

Cloud Computing 98

Cloud Computing Data Science Cloud Amazon Web Services 98

DataKitchen

APRIL 28, 2021

Data fabric enthusiasts assert that the design pattern is much more than that and reference one or more emerging data analytics tools: AI augmentation, automation, orchestration, semantic knowledge graphs, self-service, streaming data, composable data analytics, dynamic discovery, observability, persistence layer, caching and more.

Data Pipeline 98

Data Pipeline Data Data Analytics Architecture 98

Knowledge Hut

APRIL 25, 2024

Most businesses today understand how to gather the terabytes of data that constantly pour into their operations and utilize analytics to transform them into insightful information. Given its advantages, big data and analytics are crucial for any business trying to maximize its commercial potential. What is Big Data?

Big Data 97

Big Data Entertainment Transportation Banking 97

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Locke Data — Data science services.

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120

Precisely

AUGUST 3, 2023

Half of the respondents (50%) say their strategies are influenced by advanced data analytics, a critical technology for amplifying data-driven decision-making. They also report an increased focus on financial reporting and predictive analytics (28%) in response to the economic downturn.

Data Integration 98

Data Integration Data Programming Programming Data 98

Snowflake

NOVEMBER 29, 2023

While the former can be solved by tokenization strategies provided by external vendors, the latter mandates the need for patient-level data enrichment to be performed with sufficient guardrails to protect patient privacy, with an emphasis on auditability and lineage tracking. A conceptual architecture illustrating this is shown in Figure 3.

Metadata 117

Metadata Healthcare Medical Data Storage 117

Data Engineering Podcast

OCTOBER 12, 2020

Immuta is an automated data governance solution that enables safe and easy data analytics in the cloud. In your experience working with clients, what are some of the core principles of data processing and visualization that apply across industries?

Business Intelligence 100

Business Intelligence BI Consulting Data Ingestion 100

DataKitchen

AUGUST 9, 2021

Unlike generic orchestration tools, DataKitchen Platform orchestration connects to the existing ecosystem of data analytics, data science and data engineering tools. It can orchestrate a hierarchy of directed acyclic graphs ( DAGS ) that span domains and integrates testing at each step of processing.

Pharmaceutical 98

Pharmaceutical Raw Data Data Data Lake 98