Snowflake

OCTOBER 16, 2023

Modernizing these systems using the latest cloud computing capabilities can not only save costs, but also drive interagency collaboration on critical data sets. Data needs in human services Efficient, centralized technologies are indispensable when addressing basic human needs like food and shelter as well as general social welfare.

Healthcare 80

Healthcare Programming Hospitality Food 80

WeCloudData

OCTOBER 19, 2021

By leveraging data engineering techniques combined with a cloud toolchain, WeCloudData helped a client achieve a continuous flow of current job market data with analytical capabilities and dashboards to drive the business forward and stay competitive.

Consulting 52

Consulting Raw Data Data Lake Data Pipeline 52

WeCloudData

OCTOBER 19, 2021

By leveraging data engineering techniques combined with a cloud toolchain, WeCloudData helped a client achieve a continuous flow of current job market data with analytical capabilities and dashboards to drive the business forward and stay competitive.

Consulting 52

Consulting Raw Data Data Lake Data Pipeline 52

Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. Extract The initial stage of the ELT process is the extraction of data from various source systems. So, what exactly is ELT?

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Rockset

AUGUST 25, 2021

But while it’s easier to stream the data, analyzing it in real time still involves too much cost and complexity. Creating and maintaining real-time data pipelines is too hard, and even the most advanced cloud warehouses are too slow and expensive for real-time analytics. Batch processes simply don’t cut it. Efficiency.

Aggregated Data 52

Aggregated Data Data Lake Hadoop SQL 52

Workfall

SEPTEMBER 18, 2023

Meet Airbyte, the data magician that turns integration complexities into child’s play. In this digital era, businesses thrive on data, and making this data dance harmoniously with your analytics tools is crucial. Focus on sending relevant, necessary data to Snowflake to prevent overwhelming the integration process.

Data Pipeline 93

Data Pipeline Raw Data Data Schemas Healthcare 93

Knowledge Hut

NOVEMBER 17, 2023

Additionally, they convert data into formats that can be used and store it effectively and securely in the Azure cloud. The data engineers are responsible for creating conversational chatbots with the Azure Bot Service and automating metric calculations using the Azure Metrics Advisor.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Rockset

APRIL 18, 2023

Rockset offers a number of benefits along with vector search support to create relevant experiences: Real-Time Data: Ingest and index incoming data in real-time with support for updates. Feature Generation: Transform and aggregate data during the ingest process to generate complex features and reduce data storage volumes.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Cloudera

FEBRUARY 16, 2021

Integrated across the Enterprise Data Lifecycle . Cloudera Operational Database (COD) plays the crucial role of a data store in the enterprise data lifecycle. You can use COD with: Cloudera DataFlow to ingest and aggregate data from various sources. Cloudera Data Warehouse to perform ETL operations.

Database 83

Database Machine Learning Data Lake Kafka 83

Rockset

JULY 21, 2022

. - Jeremy Evans, Co-founder and CTO, Savvy At Savvy , we have a lot of responsibility when it comes to data. They rely on our cloud-native service to easily build no-code interactive experiences such as video quizzes, calculators and listicles for their websites without the need for developers. Learn more at rockset.com.

NoSQL 52

NoSQL IT MongoDB SQL 52

Cloudera

JANUARY 14, 2021

This retailer deployed Cloudera DataFlow to tap real-time streaming data from thousands of cold storage sensors across its vast network of brick-and-mortar stores. Cloudera delivers this data lifecycle solution through the Cloudera Data Platform, from edge to AI.

Food 70

Food Retail Aggregated Data Machine Learning 70

Rockset

AUGUST 30, 2021

It becomes prohibitively complex and expensive to use a data warehouse to serve real-time analytics. Rockset: Real-time Analytics Built for the Cloud Rockset is doing for real-time analytics what Snowflake did for batch. You can also optionally use WHERE clauses to filter out data.

SQL 52

SQL Kafka MongoDB MySQL 52

Edureka

FEBRUARY 6, 2023

In today’s technological environment, where data and cloud computing are becoming more and more significant, an Azure Data Engineer is extremely important. Azure Data Engineers are in high demand due to the growth of cloud-based data solutions. Capability to communicate effectively and clearly.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

WeCloudData

OCTOBER 19, 2021

Problem Statement The Client uses AWS as the main cloud provider. They use Kinesis Firehose and AWS Lambda to transform and store the data the devices collect. The data is served to the client’s app via RDS and Dynamo DB. The app provides some time-series analytics, energy consumption and cost associated with it.

Consulting 52

Consulting AWS Aggregated Data Data Collection 52

WeCloudData

OCTOBER 19, 2021

Problem Statement The Client uses AWS as the main cloud provider. They use Kinesis Firehose and AWS Lambda to transform and store the data the devices collect. The data is served to the client’s app via RDS and Dynamo DB. The app provides some time-series analytics, energy consumption and cost associated with it.

Consulting 52

Consulting AWS Aggregated Data Data Collection 52

Rockset

JUNE 3, 2022

With a small but nimble technical team, we deliberately chose cloud-native and managed web services for our backend architecture. Because our usage is so spiky and can overwhelm the concurrency limits of their APIs, we cache lookup and API data from third-party services in Amazon DynamoDB for speed and reliability.

Hospitality 52

Hospitality Aggregated Data Datasets Retail 52

Knowledge Hut

SEPTEMBER 27, 2023

Example: Imagine that your team is analyzing sales data for an internet consumer company with millions of transactions that happen weekly. QuickSight's SPICE engine stores the aggregated data in memory, allowing very fast query response times.

BI 52

BI AWS Database-centric Data Lake 52

DareData

JULY 5, 2023

The architecture of a data lake project may contain multiple components, including the Data Lake itself, one or multiple Data Warehouses or one or multiple Data Marts. The Data Lake acts as the central repository for aggregating data from diverse sources in its raw format.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Knowledge Hut

OCTOBER 27, 2023

When looking for a good participant for data cleaning projects, make certain that the data set: is spread across multiple files has a lot of nuances, null values, and cleaning approaches. These websites gather data from various sources without sorting it, making them excellent options for cleaning projects.

Data Science 96

Data Science Coding Project Datasets 96

Rockset

FEBRUARY 2, 2022

The benefit of these tools is that they’re built specifically for data analytics. They support joins and their column orientation allows you to quickly and effectively carry out aggregations. Data warehouses scale well and are well-suited to BI and advanced analytics use cases.

MongoDB 52

MongoDB NoSQL Data Warehouse BI 52

Confluent

FEBRUARY 6, 2019

Let’s take a look at some of these options: Official standards like Open Neural Network Exchange (ONNX), Portable Format for Analytics (PFA) or Predictive Model Markup Language (PMML): A data scientist builds a model with Python. This approach supports different frameworks, products and cloud services.

Machine Learning 107

Machine Learning Python Kafka Java 107

ProjectPro

DECEMBER 7, 2021

Consequently, data engineers implement checkpoints so that no event is missed or processed twice. It not only consumes more memory but also slackens data transfer. Modern cloud-based data pipelines are agile and elastic to automatically scale compute and storage resources. ADF does not store any data on its own.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Snowflake

JANUARY 29, 2024

Bring your raw Google Analytics data to Snowflake with just a few clicks The Snowflake Connector for Google Analytics makes it a breeze to get your Google Analytics data, either aggregated data or raw data, into your Snowflake account. Here’s a quick guide to get started: 1. The connector changes that!

Raw Data 111

Raw Data Aggregated Data Data Cloud 111

Striim

APRIL 3, 2024

This explosion in cloud application use has led to significant challenges in data integration and the delivery of insightful data to stakeholders. What is Striim Cloud for Application Integration? Enterprises in the U.S. deploy an average of 105 applications , with new applications continuously being adopted.

Google Cloud 52

Google Cloud Transportation Data Integration Aggregated Data 52

Picnic Engineering

OCTOBER 31, 2023

Datadog’s focus on cloud-native environments closely aligns with our technology stack: deep support and integrations with Kubernetes and main cloud providers. Their contributions to OTEL auto-instrumentation and commitment to support OTEL data within the platform ensure future compatibility. Why did we choose Datadog in the end?

Java 52

Java Aggregated Data Coding Python 52

Rockset

AUGUST 12, 2019

Rockset supports SQL over REST, which means any http framework in any programming language can be used to query your data, and several client libraries are provided for convenience as well. All that’s left then is to run our queries in our dashboard or application.

NoSQL 40

NoSQL AWS SQL Datasets 40

Knowledge Hut

APRIL 19, 2023

The process of merging and summarizing data from various sources in order to generate insightful conclusions is known as data aggregation. The purpose of data aggregation is to make it easier to analyze and interpret large amounts of data. BigQuery is scalable and can handle large volumes of data.

Process 59

Process Data Mining Aggregated Data Portfolio 59

Striim

APRIL 4, 2024

This underscores the necessity for innovative, seamless integration solutions that can bridge the gap between various data sources and analytical tools. What is Striim Cloud for Application Integration? Real-Time Monitoring: Ensures the integrity and quality of data delivery through stringent data quality SLAs.

Transportation 40

Transportation Google Cloud Aggregated Data Cloud 40

Snowflake

JUNE 8, 2023

Data has traditionally been stored in silos, often associated with enterprise applications, maintained by separate teams, protected by specific functions, and residing in different locations across different cloud providers. They extend to external partner and supplier data. Product thinking works from the outside in.

Aggregated Data 69

Aggregated Data Raw Data Telecommunication Data 69

Cloudera

JUNE 29, 2023

Streamline KYC and AML, too While Know Your Customer (KYC) and Anti-Money-Laundering (AML) processes didn’t play a role in the recent collapses, institutions can also leverage the combination of a modern, open data architecture, advanced analytics, and machine automation to transform KYC and AML.

Data Architecture 83

Data Architecture Architecture Management Banking 83

Monte Carlo

FEBRUARY 15, 2023

Since the inception of the cloud, there has been a massive push to store any and all data. On the surface, the promise of scaling storage and processing is readily available for databases hosted on AWS RDS, GCP cloud SQL and Azure to handle these new workloads. Cloud data warehouses solve these problems.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

ProjectPro

APRIL 20, 2017

There are various kinds of hadoop projects that professionals can choose to work on which can be around data collection and aggregation, data processing, data transformation or visualization. Extracting data from APIs using Python. Uploading the data on HDFS. Utilizing PySpark for reading data.

Hadoop 40

Hadoop Big Data Coding Project 40

Rockset

FEBRUARY 16, 2024

They also wanted the capability to add new metrics, data points and run ad-hoc analysis as they continued to build out real-time monitoring. Cloud offering: Klarna is built on AWS and made the decision early on to use cloud services and not get into the game of infrastructure management.

Architecture 59

Architecture SQL Data Warehouse Database 59

Rockset

OCTOBER 4, 2022

Separation of Compute and Storage Design for the cloud is another area where Rockset and ClickHouse diverge. ClickHouse is offered as software, which can be self-managed on-premises or on cloud infrastructure. Several vendors also offer cloud versions of ClickHouse.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

Knowledge Hut

SEPTEMBER 6, 2023

They highlight competence in data management, a pivotal requirement in today's business landscape, making certified individuals a sought-after asset for employers aiming to efficiently handle, safeguard, and optimize data operations. Skills acquired : Relational database concepts Retrieving data using the SQL SELECT statement.

Database 52

Database Certification MongoDB MySQL 52

Rockset

MARCH 1, 2023

Compute-compute separation in the cloud offers new efficiencies for real-time analytics at scale with shared real-time data, zero compute contention, fast scale up or down, and unlimited concurrency scaling. Rockset’s ability to exploit the cloud makes complete isolation of compute resources possible.

Architecture 59

Architecture AWS SQL Cloud Storage 59

DareData

JANUARY 30, 2023

AWS Glue: A fully managed data orchestrator service offered by Amazon Web Services (AWS). Talend Data Fabric: A comprehensive data management platform that includes a range of tools for data integration, data quality, and data governance. Examples of NoSQL databases include MongoDB or Cassandra.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52