Across industries, big data has joined traditional, structured data as a mission-critical element. Here’s some advice for CIOs and big data leaders on how to
Tag: IT data analytics
Managing COVID-19 exposure with crowd tracing
Today, Aspire Ventures is collaborating with AWS to open source anonymized crowd tracing data from the Clio GO pass system and make it available in the public AWS COVID-19 data lake.
Using the Amazon Redshift Data API to interact from an Amazon SageMaker Jupyter notebook
Jupyter Notebook is pre-loaded with libraries needed to access the Data API, which you import when you use data from Amazon Redshift.
Is Augmented Analytics Making the Difference It Advertises?
Although the augmented analytics vendors are continuously adding new capabilities to their products, there are some fundamental things that enterprises need to get right.
Augmented analytics tools also come with pre-built machine learning models to empower any user to do single click forecasts, identify trends and trend reversals, anomalies, outliers — tasks that in the past required involvement from professional data scientists.
Top 10 Data and Analytics Trends for 2021
Enterprise organizations have embraced the ideas behind advanced analytics technologies over the past several years, beginning with buzz words like big data and moving onto topics such as machine learning and artificial intelligence.
With that in mind, during its recent Gartner IT Symposium , the analyst firm unveiled its Top 10 Strategic Technology Trends in Data and Analytics, 2020, a list designed to take organizations “from crisis to opportunity,” as enterprises recover from the effects of the pandemic on business and IT initiatives.
IT Employment Looks Up; Data, Cybersecurity Skills in Demand
IT Employment Trending Up; Data, Cybersecurity Skills in Demand There’s a light at the end of the tunnel for IT pros who have been keeping a close eye on the job market.
The four employment metrics tracked by CompTIA are IT sector (tech company) employment, IT occupation employment (IT jobs across all industry sectors), the unemployment rate for IT occupations, and employer job posting for new IT hires.
The democratization of insights: Empowering data analysts and business users
A new set of big data tools (spurred by the release of academic papers describing Google’s internal technology) gave data engineering experts the ability to collect and store this new data, making it available to expert users who could generate insights.
Unfortunately, even with this new data made available and accessible, most business users didn’t have the skills to generate insights
Weka announces cloud-native, unified storage solutions for the entire data lifecycle
Weka has developed reference architectures (RAs) with leading object storage technology alliances, like Amazon Web Services (AWS), Cloudian, IBM, Seagate, Quantum, Scality , and others in Weka’s Technology Alliance Program, to deliver cost-efficient, cloud-native data storage solutions at any scale.
WekaFS provides the ease of managing petabytes of data in a single, unified namespace wherever in the pipeline the data is stored, while also delivering the best performance to accelerate artificial intelligence/machine learning (AI/ML), genomics research, high-performance computing (HPC), and high-performance data analytics (HPDA) workflows
AWS serverless data analytics pipeline reference architecture
Real-time insights into the rapidly evolving COVID-19 situation and its impact on all key stakeholders in the healthcare supply chain, including patients, physicians, and health systems, is a key asset in helping companies adapt based on local market dynamics and remain resilient to future disruptions
How Organizations Can Build Analytics Agility
In an era of constant change, companies’ data and analytics capabilities must rapidly adapt to ensure that the business survives, never mind competes. Organizations seek
Big data processing in a data warehouse environment using AWS Glue 2.0 and PySpark
n this post, we discuss one such example of improving operational efficiency and how we optimized our ETL process using AWS Glue 2.0 and PySpark SQL to achieve huge parallelism and reduce the runtime significantly—under 45 minutes—to deliver data to business much sooner.
We did this by running a SQL query repeatedly in Amazon Redshift , incrementally processing 2 months at a time to account for several years of historical data, with several hundreds of billions of rows in total.
Meeting the need for speed with a cloud data warehouse
In our work with Google Cloud customers, we hear great stories of growth, change, and cloud success. We worked closely with Trendyol Group , a
Future of Sales 2025: Data-Driven B2B Selling to Drive Digital Commerce
The Gartner Future of Sales 2025 report reveals that 60% of B2B sales organizations will transition from experience- and intuition-based selling to data-driven selling by
How to be great at people analytics
Most companies still face critical obstacles in the early stages of building their people analytics capabilities, preventing real progress. The majority of teams are still