Cloudera

OCTOBER 28, 2021

I’ve had the pleasure to participate in a few Commercial Lines insurance industry events recently and as a prior Commercial Lines insurer myself, I am thrilled with the progress the industry is making using data and analytics. I often hear this at industry events and in conversations with insurers.

Insurance 95

Insurance Transportation Unstructured Data Manufacturing 95

Data Engineering Weekly

JUNE 4, 2023

Our latest report highlights the impact of bad data on your bottom line (did you know that poor data quality impacts 31% of revenue?!) Access the Report Kaushik Muniandi: Text-Based Search - From Elastic Search to Vector Search Last month or so, I experimented with vector search with embedding.

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 52

ProjectPro

FEBRUARY 16, 2023

Data integration with ETL has evolved from structured data stores with high computing costs to natural state storage with read operation alterations thanks to the agility of the cloud. Data integration with ETL has changed in the last three decades. This ensures that companies' data is always protected and secure.

AWS 52

AWS Data Management ETL Tools Management 52

U-Next

FEBRUARY 16, 2023

There is a rapid increase in banking frauds like identity theft, phishing, vishing, smishing, access to debit/credit card details, and UPI/QR code scams. The seamless information flow between RBI and banks about cybersecurity events would be one of the preventive measures.

Banking 74

Banking Systems Education Government 74

AltexSoft

AUGUST 29, 2023

Data sources can be broadly classified into three categories. Structured data sources. These are the most organized forms of data, often originating from relational databases and tables where the structure is clearly defined. Semi-structured data sources. Raw data store section.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Rockset

JULY 28, 2022

CDC enables true real-time analytics on your application data, assuming the platform you send the data to can consume the events in real time. Options For Change Data Capture on MongoDB Apache Kafka The native CDC architecture for capturing change events in MongoDB uses Apache Kafka.

MongoDB 52

MongoDB Kafka NoSQL Data Lake 52

Rockset

JULY 29, 2022

This consistency promotes data integrity, so you can trust the insights to make informed decisions. Additionally, data warehouses are great at offering historical intelligence. However, organizations today are moving beyond just batch analytics on historical data. Late-arriving events need to be reloaded or backfilled.

Data Analytics 52

Data Analytics Data Warehouse Datasets Google Cloud 52

Rockset

OCTOBER 21, 2022

When building a real-time customer 360 app, you’ll definitely need event data from a streaming data source, like Kafka. Finally, you may want to combine some historical data from customers’ prior interactions as well. We’ll integrate with Kafka and S3 through Rockset’s data connectors.

Kafka 52

Kafka Building SQL Database 52

Striim

JANUARY 4, 2023

When your applications access data from each other, it can cause high coupling, i.e., applications are highly interdependent on each other. If you make any changes in the data structure, such as dropping a table from the database, it can affect the applications that are ingesting or using data from it.

PostgreSQL 52

PostgreSQL Data Warehouse Data Lake Data 52

Netflix Tech

MARCH 5, 2019

Challenges & Opportunities in the Infra Data Space Security Events Platform for Anomaly Detection How can we develop a complex event processing system to ingest semi-structured data predicated on schema contracts from hundreds of sources and transform it into event streams of structured data for downstream analysis?

Cloud 73

Cloud Building Amazon Web Services Metadata 73

Rockset

SEPTEMBER 8, 2021

At Rockset, we work hard to build developer tools (as well as APIs and SDKs) that allow you to easily consume semi-structured data using SQL and run sub-second queries on real-time data. In the community, we’ll be sharing topics related to product releases, blogs, events, memes, and more.

SQL 52

SQL Data Ingestion Consulting Data Pipeline 52

Edureka

FEBRUARY 8, 2024

Use cases for memory-optimized instances include- Database Servers- Applications like relational databases benefit from the higher memory capacity to store and retrieve data efficiently. In-Memory Caching- Memory-optimized instances are suitable for in-memory caching solutions, enhancing the speed of data access.

AWS 52

AWS NoSQL Deep Learning Datasets 52

Tweag

NOVEMBER 23, 2022

onmessage = async event => { const { child_entry_point } = await wasm_bindgen ( "./path/to/wasm_bindgen/module_bg.wasm" path/to/wasm_bindgen/module_bg.wasm" ) worker_entry_point ( Number ( event. data ) ) } Note that when using the Web Workers API, all of the messages you send are JsValue s. js_sys :: global ( ). unwrap ( ).

Architecture 40

Architecture Coding Structured Data Process 40

ProjectPro

DECEMBER 7, 2021

In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers. What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Rockset

SEPTEMBER 20, 2022

However, analyzing the data generated on the blockchain by these dApps is challenging. The appeal of blockchain - namely, open access, permissionless access, privacy and transparency - renders the on-chain data relatively basic, with only simple transaction details recorded.

PostgreSQL 52

PostgreSQL MongoDB SQL Datasets 52

Knowledge Hut

JULY 26, 2023

These datasets typically involve high volume, velocity, variety, and veracity, which are often referred to as the 4 v's of Big Data: Volume: Volume refers to the vast amount of data generated and collected from various sources. Managing and analyzing such large volumes of data requires specialized tools and technologies.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Rockset

JANUARY 28, 2020

Schemaless Ingest for Running Experiments Standard builds their production systems to access the streams of events they collect through a number of backend APIs, and the team is continually adding new API endpoints to make more data available to developers. How accurate were the AI models compared to human-resolved events?

Retail 40

Retail Google Cloud Raw Data Data Lake 40

Rockset

MAY 24, 2019

Remote work affords organizations access to more talent and offers workers greater flexibility in their lives. It is crucial for operations specialists to have access to real-time metrics, to ensure agent utilization is as expected.

Management 52

Management Medical SQL Utilities 52

Confluent

AUGUST 29, 2019

In an identity/access management application, it’s the relationships between roles and their privileges that matters most. If you’ve found yourself needing to write very large JOIN statements or dealing with long paths through your data, then you are probably facing a graph problem. Here we go! Step 1: Graph the network with Neo4j.

Kafka 55

Kafka Process Algorithm Cloud 55

Rockset

OCTOBER 20, 2021

This comes on the heels of our latest product releases around more accessible and affordable real-time analytics with Rollups on Streaming Data and Rockset Views. For high velocity data, most commonly coming from data streams, you can roll it up at write-time. Hope you can join us for the event!

SQL 52

SQL PostgreSQL MongoDB NoSQL 52

Rockset

FEBRUARY 18, 2021

Real-time analytics is all about deriving insights and taking actions as soon as data is produced. When broken down into its core requirements, real-time analytics means two things: access to fresh data and fast responses to queries.

Analytics Application 52

Analytics Application SQL Database Structured Data 52

Hepta Analytics

FEBRUARY 14, 2022

The purpose of the data is not determined. The data is easily accessible and is easy to update. The data is in use and is difficult to update. IT could also have sensors, subclass of operators that which wait for external event to happen. Operators are predefined tasks such as python functions, bash commands etc.

Data Ingestion 52

Data Ingestion Data Engineering Data Engineer Engineering 52

AltexSoft

AUGUST 18, 2021

External factors embrace events occured in the cities of arrival or departure — like. Travel Insight is a data product of the Scotland-based metasearch engine and OTA which aggregates search queries from 100 million Skyscanner users monthly. Flight dataset structure. Internal factors include. flight distance.

Algorithm 59

Algorithm Datasets R (Programming) Machine Learning 59

ProjectPro

NOVEMBER 25, 2021

Although businesses have an inclination towards structured data for insight generation and decision-making, text data is one of the vital information generated from digital platforms. However, it is not straightforward to extract or derive insights from a colossal amount of text data.

Machine Learning 52

Machine Learning Algorithm Datasets Google Cloud 52

Monte Carlo

JULY 10, 2023

Missing values Incomplete data can sometimes look like missing values throughout a data set, such as: Missing salary numbers in HR data sets Missing phone numbers in a CRM Missing location data in a marketing campaign Missing blood pressure data in an EMR Missing transaction in a credit ledger And the list goes on.

Data Collection 40

Data Collection Data Governance Government Data 40

Knowledge Hut

DECEMBER 26, 2023

Data Analytics Data Science is more than just writing code for generating the visualization of data.

Data Science 52

Data Science Scala Programming Language R (Programming) 52

Rockset

OCTOBER 4, 2022

Streaming data feeds many real-time analytics applications, from logistics tracking to real-time personalization. Event streams, such as clickstreams, IoT data and other time series data, are common sources of data into these apps. The software was subsequently open sourced in 2016.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

Knowledge Hut

APRIL 25, 2024

Information Technology uses computer systems or devices to access information. This system is responsible for a large portion of any workforce, business operation, and other personal access information comprising an individual's daily activities. Data can be accepted as both singulars as well as plural subjects.

Technology 52

Technology Recruitment Media Cloud Computing 52

Knowledge Hut

MARCH 22, 2024

On the other hand, in non-linear data structures, the elements do not form a sequence. The choice between using a linear or non-linear data structure depends on the access patterns needed for the application. More flexible in terms of data organisation and access. Easier to understand and implement.

Algorithm 52

Algorithm Data Datasets Accessible 52

Data Engineering Weekly

MARCH 24, 2023

Data engineering starts to add value to the business by capturing events at each step of the business process. The events are then further enriched and analyzed to bring visibility to business operations. Architectural patterns for Data Creation There are three types of architecture patterns in data creation.

Engineering 67

Engineering Data Transportation Database 67

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 92

Data Lake Data Warehouse Cloud Unstructured Data 92

ProjectPro

NOVEMBER 14, 2015

Hadoop Common houses the common utilities that support other modules, Hadoop Distributed File System (HDFS™) provides high throughput access to application data, Hadoop YARN is a job scheduling framework that is responsible for cluster resource management and Hadoop MapReduce facilitates parallel processing of large data sets.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Cloudera

OCTOBER 17, 2023

With few conferences curating content specific to streaming developers, Current has historically been an important event for anyone trying to keep a pulse on what’s happening in the streaming space. Cloudera does this via materialized views that are accessible via API. Operationalizing python for real-time ML pipelines was a hot topic.

Database-centric 75

Database-centric Kafka Pipeline-centric Database 75

ProjectPro

AUGUST 11, 2021

This means that a data warehouse is a collection of technologies and components that are used to store data for some strategic use. Data is collected and stored in data warehouses from multiple sources to provide insights into business data. Data from data warehouses is queried using SQL.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Edureka

FEBRUARY 7, 2023

In this case, the service provider creates a managed service that allows users to access these services on demand. For data access, Synapse SQL, an enhanced version of TSQL, is used. Over a million events per second can be processed by Azure Stream Analytics, and the results can be delivered with extremely low latency.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

ProjectPro

JANUARY 25, 2022

PySpark allows you to process data from Hadoop HDFS , AWS S3, and various other file systems. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization The PySpark Architecture The PySpark architecture consists of various parts such as Spark Conf, RDDs, Spark Context, Dataframes , etc.

Big Data 52

Big Data Data Process Process Kafka 52

Knowledge Hut

MARCH 27, 2024

Let's check some of the best big data analytics tools and free big data analytics tools. 14 Most Popular Big Data Analytics Tools Open-source big data analytics tools are intended to be publicly accessible and are typically managed and maintained by organizations with a specific mission. are accessible via URL.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52