Snowflake

SEPTEMBER 13, 2023

Snowpark External Access – public preview External Access is in public preview on AWS regions. Users can now easily connect to external network locations, including external LLMs, from their Snowpark code while maintaining high security and governance over their data. Snowpark Python Updates Snowpark support for Python 3.9

Python 78

Python SQL Data Pipeline Data Ingestion 78

Databand.ai

AUGUST 30, 2023

The core philosophy of DataOps is to treat data as a valuable asset that must be managed and processed efficiently. It emphasizes the importance of collaboration between different teams, such as data engineers, data scientists, and business analysts, to ensure that everyone has access to the right data at the right time.

Data Governance 52

Data Governance Data Pipeline Government Data Cleanse 52

Knowledge Hut

MARCH 19, 2024

I will explore the top 10 AWS applications and their use cases in this blog. Security : AWS promotes security and compliance, providing comprehensive security features and controls to protect data and applications. These include encryption, identity and access management , network security, and compliance certifications.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

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. appeared first on Cloudera Blog. Watch a video.

Hospitality 98

Hospitality Kafka Retail Data Ingestion 98

Pinterest Engineering

AUGUST 18, 2022

The HBase Ecosystem, though having various advantages like strong consistency at row level in high volume requests, flexible schema, low latency access to data, Hadoop integration, etc. In this blog post, we will first learn the various approaches considered for data migration with their trade offs.

Data Ingestion 52

Data Ingestion Hadoop Database Kafka 52

DareData

JULY 5, 2023

In this blog post, we aim to share practical insights and techniques based on our real-world experience in developing data lake infrastructures for our clients - let's start! The Data Warehouse(s) facilitates data ingestion and enables easy access for end-users.

Data Lake 52

Data Lake Building Raw Data ETL Tools 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

Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

Data Warehouse 72

Data Warehouse Cloud Kafka Cloud Storage 72

Rockset

SEPTEMBER 8, 2021

You automatically get our Converged Index ™, which unifies indexing, sub-second query latency on terabytes of nested data, real-time data ingestion for mere seconds in data latency, and much more. 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

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

Machine Learning 106

Machine Learning Python Kafka Java 106

Cloudera

JUNE 28, 2022

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. This blog will be published in two parts.

Process 88

Process Kafka SQL Machine Learning 88

Databand.ai

JUNE 28, 2023

Having a bigger and more specialized data team can help, but it can hurt if those team members don’t coordinate. More people accessing the data and running their own pipelines and their own transformations causes errors and impacts data stability.

Data Pipeline 98

Data Pipeline Data Engineering Data Engineer Engineering 98

Rockset

MAY 17, 2022

This is the fourth post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Instant scaleup of data writes or queries to handle bursts of data.

SQL 52

SQL NoSQL Hadoop MongoDB 52

Rockset

AUGUST 30, 2021

The latest Rockset release, SQL-based rollups, has made real-time analytics on streaming data a lot more affordable and accessible. Anyone who knows SQL, the lingua franca of analytics, can now rollup, transform, enrich and aggregate real-time data at massive scale.

SQL 52

SQL Kafka MongoDB MySQL 52

ProjectPro

FEBRUARY 16, 2023

From monitoring and searching through big data to generating alerts, reports, and visualizations, Splunk offers several such features to help businesses achieve their goals. This clearly shows how crucial it is for data engineers to be familiar with the Splunk platform if they want to succeed in the big data industry.

Big Data 52

Big Data Big Data Tools Cloud Data 52

Cloudera

AUGUST 31, 2021

Smart DwH Mover helps in accelerating data warehouse migration. Smart Data Validator helps in extensive data reconciliation and testing. Here is the flow of events during migration by leveraging tools from Smart Data Transition Toolkit. Mainframe CDC using IBM Infosphere Data Replicator (IIDR).

Data Warehouse 85

Data Warehouse Database-centric Metadata Cloud 85

Maxime Beauchemin

JANUARY 20, 2017

The fact that ETL tools evolved to expose graphical interfaces seems like a detour in the history of data processing, and would certainly make for an interesting blog post of its own. Sure, there’s a need to abstract the complexity of data processing, computation and storage.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. The second step for building etl pipelines is data transformation, which entails converting the raw data into the format required by the end-application.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Rockset

MAY 3, 2023

lower latency than Elasticsearch for streaming data ingestion. In this blog, we’ll walk through the benchmark framework, configuration and results. We’ll also delve under the hood of the two databases to better understand why their performance differs when it comes to search and analytics on high-velocity data streams.

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

Snowflake

APRIL 18, 2024

Legacy security information and event management (SIEM) solutions, like Splunk, are powerful tools for managing and analyzing machine-generated data. This blog post explores how Snowflake can help with this challenge. Now there are a few ways to ingest data into Snowflake.

Data Lake 80

Data Lake Data Ingestion Bytes Cloud Computing 80

Rockset

OCTOBER 11, 2022

In this blog, we’ll compare and contrast how Elasticsearch and Rockset handle data ingestion as well as provide practical techniques for using these systems for real-time analytics. Logstash is an event processing pipeline that ingests and transforms data before sending it to Elasticsearch.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

ProjectPro

JANUARY 19, 2022

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. That needs to be done because raw data is painful to read and work with. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Rockset

APRIL 29, 2019

In this blog post I compare options for real-time analytics on DynamoDB - Elasticsearch , Athena, and Spark - in terms of ease of setup, maintenance, query capability, latency. Developers often have a need to serve fast analytical queries over data in Amazon DynamoDB. I also evaluate which use cases each of them are best suited for.

NoSQL 52

NoSQL PostgreSQL AWS SQL 52

Confluent

SEPTEMBER 26, 2019

In the early days, many companies simply used Apache Kafka ® for data ingestion into Hadoop or another data lake. The significant difference today is that companies use Apache Kafka as an event streaming platform for building mission-critical infrastructures and core operations platforms. Overview of Rockset technology.

Kafka 20

Kafka BI SQL Datasets 20

Rockset

NOVEMBER 6, 2019

Events are messages that are sent by a system to notify operators or other systems about a change in its domain. With event-driven architectures powered by systems like Apache Kafka becoming more prominent, there are now many applications in the modern software stack that make use of events and messages to operate effectively.

Kafka 40

Kafka Data Lake SQL Hadoop 40

Edureka

FEBRUARY 9, 2023

As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform. As the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Cloudera

MAY 3, 2024

The workflow—from data ingestion and model training to model deployment—is meticulously defined within a YAML configuration file. HuggingFace has built an unmatched community of the best and brightest data scientists, and Spaces are where this community shares its best projects.

Data Security 73

Data Security Machine Learning Data Ingestion Professional Services 73

Cloudera

AUGUST 13, 2021

The business is so unprepared with information overflow that missing an important event or insight has become the business norm. The ability to have the right data can determine an enterprise’s ability to succeed or fail. Start thinking about processing data at the edge. What product can help collect events only?

Data Pipeline 111

Data Pipeline Data Lake ETL Tools Unstructured Data 111

Cloudera

OCTOBER 15, 2020

About this Blog. Data Discovery and Exploration (DDE) was recently released in tech preview in Cloudera Data Platform in public cloud. In this blog we will go through the process of indexing data from S3 into Solr in DDE with the help of NiFi in Data Flow. Spark as the ingest pipeline tool for Search (i.e.

AWS 120

AWS Data Cloud Cloud Storage 120

Cloudera

SEPTEMBER 7, 2023

The way to manage this is by embedding data integration, data quality-monitoring, and other capabilities into the data platform itself , allowing financial firms to streamline these processes, and freeing them to focus on operationalizing AI solutions while promoting access to data, maintaining data quality, and ensuring compliance.

Insurance 85

Insurance Finance Portfolio Government 85

Cloudera

FEBRUARY 10, 2022

Apache NiFi’s rich processor library provides Azure focused processors like ADLS Gen2, Event Hub, Blob Storage or Cosmos DB out of the box. Figure 2: Moving application log data from Azure Event Hub to ADLS Gen2 and SIEM systems. Processing Streaming Data. Figure 3: Moving data from Azure Event Hub to ADLS Gen2.

Cloud 118

Cloud Kafka AWS Data Ingestion 118

Snowflake

MAY 22, 2023

Databases, shares, role-based access control, governance policies, compute resources, network policies, and all forms of user authentication—including password, federated authentication with single sign-on (SSO), and OAuth—failover seamlessly. Read our announcement blog post for more. Visit our documentation page to learn more.

Healthcare 52

Healthcare Scala Medical Transportation 52

Cloudera

MAY 3, 2024

The workflow—from data ingestion and model training to model deployment—is meticulously defined within a YAML configuration file. HuggingFace has built an unmatched community of the best and brightest data scientists, and Spaces are where this community shares its best projects.

Project 52

Project Machine Learning Data Ingestion Professional Services 52

Data Engineering Weekly

NOVEMBER 13, 2022

Streaming and batch unified in a single platform No Airflow - orchestration inferred from the data $99 / TB of data ingested | transformations free Start Your 30 Day Trial Wealthfront: Event Tracking System at Wealthfront A robust event-tracking system is critical for an efficient data management platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Cloudera

NOVEMBER 19, 2020

Furthermore, the same tools that empower cybercrime can drive fraudulent use of public-sector data as well as fraudulent access to government systems. In financial services, another highly regulated, data-intensive industry, some 80 percent of industry experts say artificial intelligence is helping to reduce fraud.

Government 120

Government Machine Learning Algorithm Raw Data 120

ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. And, out of these professions, this blog will discuss the data engineering job role.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Cloudera

FEBRUARY 8, 2021

This is part 2 in this blog series. You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. The first blog introduced a mock connected vehicle manufacturing company, The Electric Car Company (ECC), to illustrate the manufacturing data path through the data lifecycle.

Data Pipeline 120

Data Pipeline Building Manufacturing Data Warehouse 120