Cloudera

OCTOBER 28, 2020

To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data. While Rabobank has always had access to this data, drawing meaningful insight from it was a different matter. .

Unstructured Data 76

Unstructured Data Banking Machine Learning Media 76

Cloudera

DECEMBER 19, 2023

Some of the primary operational problems highlighted at the PCN Government Innovation event include: Civil Government : A major challenge facing the civil government is the inefficient and cumbersome procurement process. Limit access and capabilities initially. Our government leaders had several suggestions: Start small.

Government 96

Government Education Unstructured Data Algorithm 96

Cloudera

APRIL 20, 2021

Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases. What are the advantages of Streaming Analytics?

Kafka 100

Kafka Hospitality Retail Data Ingestion 100

Snowflake

NOVEMBER 2, 2023

Rather than defining schema upfront, a user can decide which data and schema they need for their use case. Snowflake has long supported semi-structured data types and file formats like JSON, XML, Parquet, and more recently storage and processing of unstructured data such as PDF documents, images, videos, and audio files.

Data Lake 97

Data Lake Data Warehouse Cloud Unstructured Data 97

Snowflake

JUNE 28, 2023

Python Unstructured Data Processing (PuPr) – Unstructured data processing is now natively supported with Python. External Network Access (PrPr) – Allows users to seamlessly connect to external endpoints from their Snowpark code (UDFs/UDTFs and Stored procedures) while maintaining high security and governance.

Python 52

Python Accessible Accessibility Pipeline-centric 52

Cloudera

JANUARY 5, 2021

Streaming or real-time data from on-vehicle sensors, shelf, or point of sale are leveraged along with historical archives of consumer purchase behavior or inventory stock levels. Including new data sources like demand signals (e.g.

Retail 95

Retail Unstructured Data Big Data Machine Learning 95

Edureka

JUNE 7, 2024

With generative AI such as ChatGPT, Gemini, Midjourney AI, and Dall-E, you can create (or to be more specific, generate) new content such as images, text, and code from scratch based on the patterns and relationships learned from training data. Predictive AI thrives on data. The more historical data you feed it (e.g.,

Deep Learning 114

Deep Learning Media Manufacturing Algorithm 114

Cloudera

OCTOBER 26, 2020

Attribute-based access control and SparkSQL fine-grained access control. Lineage and chain of custody, advanced data discovery and business glossary. Store and access schemas across clusters and rebalance clusters with Cruise Control. Relevance-based text search over unstructured data (text, pdf,jpg, …).

Certification 93

Certification Cloud Kafka Unstructured Data 93

Cloudera

JULY 26, 2021

The alleviation of infrastructure and computational constraints associated with solely on-premises data platforms; Data Products can now use different deployment models (e.g., The proliferation of real-time processing by deploying event-driven architectures (e.g., Deep Java Learning, Apache Spark 3.x,

Generalist 120

Generalist Telecommunication Healthcare Data Science 120

ProjectPro

FEBRUARY 8, 2023

Application programming interfaces (APIs) are used to modify the retrieved data set for integration and to support users in keeping track of all the jobs. Users can schedule ETL jobs, and they can also choose the events that will trigger them. Create schedules or events that will act as job triggers.

AWS 98

AWS Scala Metadata Data Lake 98

Cloudera

SEPTEMBER 1, 2020

DDE also makes it much easier for application developers or data workers to self-service and get started with building insight applications or exploration services based on text or other unstructured data (i.e. data best served through Apache Solr). What does DDE entail? Provides perimeter security.

Cloud Storage 72

Cloud Storage Unstructured Data AWS Analytics Application 72

Confluent

MARCH 4, 2019

Innovative companies experiment with data to come up with something useful. It usually starts with the opening of a firehose that continuously broadcasts tons of events before they start mining it to create music out of simply noise. We need something that does not only store data but processes events as they happen.

Cloud 89

Cloud Banking Kafka NoSQL 89

Snowflake

JUNE 5, 2024

It provides access to industry-leading large language models (LLMs), enabling users to easily build and deploy AI-powered applications. By using Cortex, enterprises can bring AI directly to the governed data to quickly extend access and governance policies to the models.

Coding 93

Coding Building Management Government 93

Data Engineering Weekly

APRIL 7, 2024

[link] Matt Turck: Full Steam Ahead: The 2024 MAD (Machine Learning, AI & Data) Landscape Coninue the week of insights into the world of data & AI landscape, the 2024 MAD landscape is out. It is evident that it will become the foundation of trusted sources, which is essential to taking advantage of advancements from LLMs.

Data Engineering 72

Data Engineering Data Engineer Engineering Unstructured Data 72

Striim

SEPTEMBER 11, 2024

Understanding the essential components of data pipelines is crucial for designing efficient and effective data architectures. This data requires immediate processing to provide up-to-the-minute insights and enable timely decision-making, making it the ideal choice for modern businesses.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Cloudera

AUGUST 16, 2021

Hundreds of built-in processors make it easy to connect to any application and transform data structures or data formats as needed. Since it supports both structured and unstructured data for streaming and batch integrations, Apache NiFi is quickly becoming a core component of modern data pipelines.

Cloud 122

Cloud Unstructured Data Utilities Metadata 122

Towards Data Science

DECEMBER 4, 2023

Data Lake A data lake would serve as a repository for raw and unstructured data generated from various sources within the Formula 1 ecosystem: telemetry data from the cars (e.g. Data Marts There is a thin line between Data Warehouses and Data Marts. Data models are built around business needs.

Data Engineering 81

Data Engineering Data Engineer Engineering Data Lake 81

Cloudera

NOVEMBER 18, 2021

By adopting a custom developed application based on the Cloudera ecosystem, Carrefour has combined the legacy systems into one platform which provides access to customer data in a single data lake. transactions per day and processing information at a rate of 1k events per second. Data for Good. Cloud Innovation.

Banking 82

Banking Data Lake Telecommunication Data 82

Knowledge Hut

MAY 3, 2024

Spark can access diverse data sources and make sense of them all and hence it’s trending in the market over any other cluster computing software available. The results can be combined with data from other sources like social media profiles, product reviews on forums, customer comments, etc.

Hadoop 98

Hadoop Scala Healthcare Big Data 98

U-Next

SEPTEMBER 7, 2022

In the event that they are not the same, what are the difference s? Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. Data Lake Vs. Data Warehouse: Latest Industry Stats . The DW and databases support multi-user access.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Knowledge Hut

JUNE 26, 2023

When screening resumes, most hiring managers prioritize candidates who have actual experience working on data engineering projects. Top Data Engineering Projects with Source Code Data engineers make unprocessed data accessible and functional for other data professionals. Which queries do you have?

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

ProjectPro

JANUARY 27, 2023

Top 7 Data Science Applications in Finance Financial technology, or FinTech, refers to the use of technology by providers of financial services to optimize the usage and delivery of their services to customers. Start your journey as a Data Scientist today with solved end-to-end Data Science Projects 4.

Finance 52

Finance Data Science Unstructured Data Algorithm 52

AltexSoft

SEPTEMBER 23, 2021

It’s not a single technology, but rather an architectural approach that unites storages, data integration and orchestration tools. With a data hub, businesses receive the means to structure, and harmonize information collected from various sources. Data lake vs data hub. Data access layer: data querying.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

Towards Data Science

FEBRUARY 9, 2024

In truth, the synergy between batch and streaming pipelines is essential for tackling the diverse challenges posed to your data platform at scale. The key to seamlessly addressing these challenges lies, unsurprisingly, in data orchestration.

Building 76

Building Transportation Data Lake Metadata 76

Workfall

MARCH 21, 2023

SurrealDB is the solution for database administration, which includes general admin and user management, enforcing data security and control, performance monitoring, maintaining data integrity, dealing with concurrency transactions, and recovering information in the event of an unexpected system failure. What is Jamstack?

PostgreSQL 68

PostgreSQL NoSQL Database Unstructured Data 68

Cloudera

AUGUST 20, 2021

For example, the Cloudera Data Flow experience offers an integrated event processing capability to deliver low-latency analytics by combining Flow Management (using Apache NiFi), Streams Messaging (using Apache Kafka) and Stream Processing / Analytics (using Apache Flink / SQL Stream Builder).

Data Warehouse 102

Data Warehouse Data Cloud Architecture 102

AltexSoft

MAY 14, 2021

The best way to understand the idea behind Big Data analytics is to put it against regular data analytics. The analytics commonly takes place after a certain period of time or event. If you are an owner of an online shop, you may look at the data accumulated during a week and then analyze it. Data storage and processing.

Big Data 78

Big Data Data Analytics IT NoSQL 78

AltexSoft

JUNE 7, 2021

As a result, a Big Data analytics task is split up, with each machine performing its own little part in parallel. Hadoop hides away the complexities of distributed computing, offering an abstracted API to get direct access to the system’s functionality and its benefits — such as. High latency of data access. scalability.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

ProjectPro

OCTOBER 28, 2015

Sqoop in Hadoop is mostly used to extract structured data from databases like Teradata, Oracle, etc., and Flume in Hadoop is used to sources data which is stored in various sources like and deals mostly with unstructured data. The complexity of the big data system increases with each data source.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

Cloudera

SEPTEMBER 15, 2022

July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. A key area of focus for the symposium this year was the design and deployment of modern data platforms. What is a data fabric?

Data Lake 88

Data Lake Analytics Application Cloud Storage Architecture 88

Snowflake

NOVEMBER 11, 2024

At BUILD 2024, we announced several enhancements and innovations designed to help you build and manage your data architecture on your terms. Ingest data more efficiently and manage costs For data managed by Snowflake, we are introducing features that help you access data easily and cost-effectively.

Data Architecture 85

Data Architecture Architecture Data Lake Kafka 85

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 for leveraging analytics.

Hadoop 52

Hadoop Unstructured Data Big Data Retail 52

Data Engineering Weekly

MARCH 3, 2024

This approach led to a successful expansion of Copilot access across the engineering team, resulting in a significant increase in productivity and adoption, demonstrating a commitment to enhancing developer experience while maintaining safety and security standards.

Data Engineering 69

Data Engineering Data Engineer Pipeline-centric Engineering 69

Knowledge Hut

DECEMBER 22, 2023

Statistics are used by data scientists to collect, assess, analyze, and derive conclusions from data, as well as to apply quantifiable mathematical models to relevant variables. Microsoft Excel An effective Excel spreadsheet will arrange unstructured data into a legible format, making it simpler to glean insights that can be used.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Cloudera

AUGUST 31, 2020

With increasingly stringent privacy laws like General Data Protection Regulation (GDPR), SMG’s has strict requirements regarding Personally Identifiable Information (PII) on behalf of its customers. Data Science Services. Today SMG can leverage tremendously more Data Science on both structured and unstructured data.

Management 67

Management Hadoop Data Warehouse Data Science 67

ProjectPro

MARCH 17, 2014

What is Big Data and what is the Big Deal? million event invites, 1.9 12 Terabytes of data was generated through Twitter feeds in the last 6 hours, 5 million global share trades per second, millions of photos and videos. All these facts clearly speak about the Big Data trend making waves in the market. million comments.12

Hadoop 52

Hadoop Big Data Unstructured Data Data Analytics 52

Striim

OCTOBER 11, 2024

Data pipelines are significant to businesses because they: Consolidate Data: Data pipelines are responsible for integrating and unifying data from diverse sources and formats, making it consistent and usable for analytics and business intelligence.

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52