ProjectPro

JULY 13, 2015

Large commercial banks like JPMorgan have millions of customers but can now operate effectively-thanks to big data analytics leveraged on increasing number of unstructured and structured data sets using the open source framework - Hadoop. JP Morgan has massive amounts of data on what its customers spend and earn.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

Cloudera

OCTOBER 29, 2020

DV gives everyone across the data lifecycle the ability to present data analytics and machine learning models in meaningful ways. Data comes in different forms and speeds, that’s why CDP offers the right mechanisms to ingest, store, and query based on the characteristics of data.

Machine Learning 116

Machine Learning Unstructured Data Data Warehouse Government 116

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

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

AltexSoft

APRIL 27, 2023

According to McKinsey’s analysis , the wider adoption of data-driven technologies could increase the business operating performance by 15 to 30 percent of EBIDTA (Earnings Before Interest, Taxes, Depreciation, and Amortization) in just five years. Improvements data analytics promises to bring for pharma. Clinical trials.

Data Analytics 52

Data Analytics Pharmaceutical Medical Manufacturing 52

Snowflake

JANUARY 18, 2024

A robust, flexible architecture Snowflake’s unique architecture is designed to handle the full volume, velocity and variety of data without making manufacturers deal with downtime for upgrades or compute changes. In addition, Snowflake is cloud-agnostic and can be moved to and from different cloud environments.

Manufacturing 93

Manufacturing Unstructured Data Cloud Architecture 93

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. Amaterasu — is a deployment tool for data pipelines.

Consulting 124

Consulting Machine Learning Data Science Data Pipeline 124

Cloudera

FEBRUARY 7, 2023

To advance these efforts, banks are increasingly turning to data, data analytics, and machine learning (ML) and artificial intelligence (AI) to better understand and serve the financial needs of underserved communities.

Banking 81

Banking Technology Insurance Unstructured Data 81

Data Engineering Weekly

OCTOBER 27, 2024

Astasia Myers: The three components of the unstructured data stack LLMs and vector databases significantly improved the ability to process and understand unstructured data. The blog is an excellent summary of the existing unstructured data landscape.

Data Engineer 59

Data Engineer Data Engineering Engineering Unstructured Data 59

Cloudera

FEBRUARY 8, 2021

The goal is to define, implement and offer a data lifecycle platform enabling and optimizing future connected and autonomous vehicle systems that would train connected vehicle AI/ML models faster with higher accuracy and delivering a lower cost.

Manufacturing 113

Manufacturing Machine Learning Data Ingestion Electronics 113

Knowledge Hut

JANUARY 18, 2024

Roles and Responsibilities Finding data sources and automating the data collection process Discovering patterns and trends by analyzing information Performing data pre-processing on both structured and unstructured data Creating predictive models and machine-learning algorithms Average Salary: USD 81,361 (1-3 years) / INR 10,00,000 per annum 3.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

Cloudera

JULY 29, 2022

Is yours among the organizations hoping to cash in big with a big data solution? Organizations have good reason to believe that adopting data analytics tools and hiring data professionals will allow them to extract the full value of their data. Read on to be sure you set yourself up for success. .

Data Architecture 94

Data Architecture Architecture Unstructured Data Government 94

Cloudera

JANUARY 5, 2021

Consolidated Inventory & Sales Data — Build an enterprise view of sales and inventory across all channels. Retail supply chains are a recognized and proven source of ROI when data analytics are leveraged to improve forecast accuracy and product availability.

Retail 95

Retail Unstructured Data Big Data Machine Learning 95

Rockset

JULY 29, 2022

However, the data via its streaming API insert isn’t available for two to three minutes. So, it’s not real-time data. Amazon Redshift Amazon Redshift cloud data warehouse is a fully-managed SQL analytics service. It analyzes structured and unstructured data from other warehouses, operational databases, and data lakes.

Data Analytics 52

Data Analytics Data Warehouse Datasets Google Cloud 52

Cloudera

NOVEMBER 15, 2024

However, there is a fundamental challenge standing in the way of being successful: data. Unstructured data not ready for analysis: Even when defenders finally collect log data, it’s rarely in a format that’s ready for analysis.

Metadata 90

Metadata Unstructured Data Data Lake Government 90

Cloudera

NOVEMBER 17, 2022

With CDP, HBL will manage data at scale through a centralized data lake, serving Pakistan, Sri Lanka, Singapore and other international territories. The bank will be able to secure, manage, and analyse huge volumes of structured and unstructured data, with the analytic tool of their choice. .

Banking 91

Banking Management Data Lake Professional Services 91

Snowflake

SEPTEMBER 27, 2023

But all of this important data is often siloed and inaccessible or in hard-to-process formats, such as DICOM imaging, clinical notes or genomic sequencing. Healthcare organizations must ensure they have a data infrastructure that enables them to collect and analyze large amounts of structured and unstructured data at the point of care.

Healthcare 88

Healthcare Accessibility Accessible Hospitality 88

Cloudera

OCTOBER 5, 2023

However, many organizations have data silos, for instance when each department’s data is historically stored in disparate locations. Additionally, structured and unstructured data is often separate. By eliminating data silos, your data insights enable smarter and more accurate business decisions.

Data Governance 89

Data Governance Unstructured Data Government High Quality Data 89

Cloudera

AUGUST 21, 2024

This year, we’re excited to share that Cloudera’s Open Data Lakehouse 7.1.9 release was named a finalist under the category of Business Intelligence and Data Analytics. The root of the problem comes down to trusted data.

Unstructured Data 70

Unstructured Data Business Intelligence Data Architecture Data Warehouse 70

Snowflake

JULY 1, 2024

Text and sentiment analysis Gen AI capabilities can help analyze unstructured data from claim notes, customer emails and call transcripts to glean insights into claim complexity, customer sentiment and potential dissatisfaction or fraud. Insurers can use this information to tighten their processes and reduce overall claims costs.

Insurance 87

Insurance Media Unstructured Data Machine Learning 87

Knowledge Hut

JANUARY 18, 2024

Data Science is a field of study that handles large volumes of data using technological and modern techniques. This field uses several scientific procedures to understand structured, semi-structured, and unstructured data. Both data science and software engineering rely largely on programming skills.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

Cloudera

SEPTEMBER 15, 2022

Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API.

Systems 92

Systems Hadoop Metadata Telecommunication 92

ProjectPro

MARCH 27, 2015

Big data analytics is new to sports but not a novel concept to businesses. The collection and analysis of huge amounts of unstructured data i.e. big data to optimize performance is transforming the society. How cricket data is used for analytics in World Cup Cricket 2023?

Big Data 40

Big Data Data Analytics Hadoop Media 40

Cloudera

OCTOBER 21, 2020

New processes, research, and data analytics are under pressure to help identify what should be paid, and what should not. Instead of in-person appointments or walkthroughs, insurance companies may now rely on drone footage, satellite imagery, social media posts, and mobile apps that gather data on customers.

Insurance 77

Insurance Unstructured Data Hospitality Media 77

ProjectPro

MARCH 17, 2014

However, while you might be familiar with what is big data and hadoop, there is high probability that other people around you are not really sure on –What is big data, what hadoop is, what big data analytics is or why it is important. Table of Contents What is Big Data and what is the Big Deal?

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

Propel Data

OCTOBER 11, 2022

The main difference between data lakes and data warehouses is data lakes allow unstructured data, but data warehouses need structured data.

Data Lake 40

Data Lake Data Warehouse Unstructured Data Data Analytics 40

Knowledge Hut

DECEMBER 26, 2023

Importance of Big Data Companies Big Data is intricate and can be challenging to access and manage because data often arrives quickly in ever-increasing amounts. Both structured and unstructured data may be present in this data.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

Precisely

SEPTEMBER 6, 2023

.” Poor data quality impedes the success of data programs, hampers data integration efforts, limits data integrity causing big data governance challenges. To truly succeed in an increasingly data-driven world, organizations need data governance. The same does not hold true for unstructured data.

Data Governance 52

Data Governance Big Data Government Unstructured Data 52

ProjectPro

MAY 26, 2015

The webinar discusses about the working of beacon technology (Beaconstac) and the production beacon analytics system Morpheus at MobStac that leverages Hadoop for analysing huge amounts of unstructured data generated from beacons (IoT).Beacons

Hadoop 52

Hadoop Unstructured Data Big Data Retail 52

Data Engineering Weekly

MARCH 3, 2024

The migration enhanced data quality, lineage visibility, performance improvements, cost reductions, and better reliability and scalability, setting a robust foundation for future expansions and onboarding.

Data Engineer 69

Data Engineer Data Engineering Pipeline-centric Engineering 69

Knowledge Hut

MAY 3, 2024

Cluster Computing: Efficient processing of data on Set of computers (Refer commodity hardware here) or distributed systems. It’s also called a Parallel Data processing Engine in a few definitions. Spark is utilized for Big data analytics and related processing. It was open-sourced in 2010 under a BSD license.

Hadoop 98

Hadoop Scala Healthcare Big Data 98

Monte Carlo

OCTOBER 10, 2024

Let’s dive into the responsibilities, skills, challenges, and potential career paths for an AI Data Quality Analyst today. Table of Contents What Does an AI Data Quality Analyst Do? Data Wrangling Tools : OpenRefine, Pandas. Cloud Platforms : AWS, Google Cloud, Microsoft Azure.

Unstructured Data 52

Unstructured Data Google Cloud Machine Learning ETL Tools 52

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 Architect 87

Data Architect Certification Generalist Big Data 87

U-Next

SEPTEMBER 7, 2022

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. The data lakes store data from a wide variety of sources, including IoT devices, real-time social media streams, user data, and web application transactions.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Knowledge Hut

APRIL 23, 2024

So, before you choose a field, it is essential to go for Business Intelligence and Visualization online certification and learn to turn data into opportunities with BI and visualization. The analytics domain gets classified into three categories, with data analytics being the broader term.

Business Intelligence 52

Business Intelligence Data Science BI Unstructured Data 52

U-Next

MARCH 1, 2023

Slowly Changing Dimensions (SCDs) are data warehouse dimensions that store and manage both current and historical data over time. What is a data lake, and how does it differ from a data warehouse? Streaming Data Warehouses offer real-time computing and allow users to use offline data warehouse functions online.

Data Engineer 75

Data Engineer Data Engineering Non-relational Database Engineering 75

Monte Carlo

MARCH 28, 2024

In 2021, Vimeo moved from a process involving big complicated ETL pipelines and data warehouse transformations to one focused on data consumer defined schemas and managed self-service analytics. And, of course, experience in data analytics, pipelines, or other forms of data management is vital.

Engineering 75

Engineering Pipeline-centric BI Google Cloud 75